From 5305b5de0e87ba9619c65225e873a0dc2fe061bf Mon Sep 17 00:00:00 2001
From: Emily Chun <emily.chun@intel.com>
Date: Fri, 29 Nov 2024 03:03:34 +0900
Subject: [PATCH] Update benchmark summary report (#4134)

* Update benchmark summary

* Fix pre-commit issue

* Fix pre-commit issue

* Fix pre-commit issue

* Update missing categories

* Remove outputs
---
 tests/perf/history/summary.ipynb              |  6586 +----
 tests/perf/history/summary.py                 |   350 +-
 .../history/v1.5.2/perf-benchmark-raw-all.csv |  1800 +-
 .../history/v1.6.0/perf-benchmark-raw-all.csv |  2400 +-
 .../history/v2.0.0/perf-benchmark-raw-all.csv | 14369 ++++++++++
 .../history/v2.1.0/perf-benchmark-raw-all.csv | 17365 ++++++++++++
 .../history/v2.2.0/perf-benchmark-raw-all.csv | 22877 ++++++++++++++++
 7 files changed, 56842 insertions(+), 8905 deletions(-)
 create mode 100644 tests/perf/history/v2.0.0/perf-benchmark-raw-all.csv
 create mode 100644 tests/perf/history/v2.1.0/perf-benchmark-raw-all.csv
 create mode 100644 tests/perf/history/v2.2.0/perf-benchmark-raw-all.csv

diff --git a/tests/perf/history/summary.ipynb b/tests/perf/history/summary.ipynb
index 5015d4b5e18..91e841aa406 100644
--- a/tests/perf/history/summary.ipynb
+++ b/tests/perf/history/summary.ipynb
@@ -10,19 +10,22 @@
     "1. [Anomaly Detection](#Anomaly-Detection)\n",
     "1. [Anomaly Segmentation](#Anomaly-Segmentation)\n",
     "1. [Single-label Classificaiton](#Single-label-Classificaiton)\n",
+    "1. [Single-label Classificaiton SemiSL](#Single-label-Classificaiton-SemiSL)\n",
     "1. [Multi-label Classification](#Multi-label-Classification)\n",
     "1. [Hierarchical-label Classification](#Hierarchical-label-Classification)\n",
     "1. [Object Detection](#Object-Detection)\n",
     "1. [Instance Segmentation](#Instance-Segmentation)\n",
     "1. [Semantic Segmentation](#Semantic-Segmentation)\n",
+    "1. [Semantic Segmentation SemiSL](#Semantic-Segmentation-SemiSL)\n",
     "1. [Visual Prompting](#Visual-Prompting)\n",
     "1. [Zero-shot Visual Prompting](#Zero-shot-Visual-Prompting)\n",
+    "1. [Keypoint Detection](#Keypoint-Detection)\n",
     "1. [Metadata](#Metadata)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,429 +43,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th>std</th>\n",
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-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
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-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "      <th>1.5.2</th>\n",
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-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>58.400000</td>\n",
-       "      <td>40.555038</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>45.700000</td>\n",
-       "      <td>29.443166</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>28.133333</td>\n",
-       "      <td>13.850347</td>\n",
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-       "      <th>1.6.0</th>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
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-       "      <td>26.955751</td>\n",
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-       "      <td>28.475330</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>31.433333</td>\n",
-       "      <td>16.163554</td>\n",
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-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.916237</td>\n",
-       "      <td>0.064944</td>\n",
-       "      <td>44.017062</td>\n",
-       "      <td>38.527205</td>\n",
-       "      <td>0.916936</td>\n",
-       "      <td>0.080092</td>\n",
-       "      <td>77.432599</td>\n",
-       "      <td>52.519596</td>\n",
-       "      <td>0.972372</td>\n",
-       "      <td>0.006766</td>\n",
-       "      <td>30.461665</td>\n",
-       "      <td>8.015900</td>\n",
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-       "      <td>0.006254</td>\n",
-       "      <td>24.156922</td>\n",
-       "      <td>8.789108</td>\n",
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-       "      <th rowspan=\"3\" valign=\"top\">padim</th>\n",
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-      ],
-      "text/plain": [
-       "data_group                                         all            \\\n",
-       "metric                                   test/f1-score             \n",
-       "stat                                              mean       std   \n",
-       "task                   model otx_version                           \n",
-       "anomaly all   1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.916237  0.064944   \n",
-       "                       padim 1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.888107  0.058972   \n",
-       "                       stfpm 1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.944367  0.059693   \n",
-       "\n",
-       "data_group                                                          \\\n",
-       "metric                                   train/e2e_time              \n",
-       "stat                                               mean        std   \n",
-       "task                   model otx_version                             \n",
-       "anomaly all   1.5.2            44.077778  31.595950   \n",
-       "                             1.6.0            43.644444  26.955751   \n",
-       "                             2.0.0            44.017062  38.527205   \n",
-       "                       padim 1.5.2            17.600000   2.131398   \n",
-       "                             1.6.0            19.644444   4.951297   \n",
-       "                             2.0.0            23.172079   6.304279   \n",
-       "                       stfpm 1.5.2            70.555556  23.687002   \n",
-       "                             1.6.0            67.644444  15.694740   \n",
-       "                             2.0.0            64.862044  45.867983   \n",
-       "\n",
-       "data_group                                       large            \\\n",
-       "metric                                   test/f1-score             \n",
-       "stat                                              mean       std   \n",
-       "task                   model otx_version                           \n",
-       "anomaly all   1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.916936  0.080092   \n",
-       "                       padim 1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.841067  0.006524   \n",
-       "                       stfpm 1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.992806  0.000000   \n",
-       "\n",
-       "data_group                                                          \\\n",
-       "metric                                   train/e2e_time              \n",
-       "stat                                               mean        std   \n",
-       "task                   model otx_version                             \n",
-       "anomaly all   1.5.2            58.400000  40.555038   \n",
-       "                             1.6.0            52.300000  31.721181   \n",
-       "                             2.0.0            77.432599  52.519596   \n",
-       "                       padim 1.5.2            20.000000   0.000000   \n",
-       "                             1.6.0            22.400000   5.366563   \n",
-       "                             2.0.0            30.711699   1.137821   \n",
-       "                       stfpm 1.5.2            96.800000   3.768289   \n",
-       "                             1.6.0            82.200000   0.447214   \n",
-       "                             2.0.0           124.153499  27.345789   \n",
-       "\n",
-       "data_group                                      medium            \\\n",
-       "metric                                   test/f1-score             \n",
-       "stat                                              mean       std   \n",
-       "task                   model otx_version                           \n",
-       "anomaly all   1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.972372  0.006766   \n",
-       "                       padim 1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.968081  0.003585   \n",
-       "                       stfpm 1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.976662  0.006643   \n",
-       "\n",
-       "data_group                                                          \\\n",
-       "metric                                   train/e2e_time              \n",
-       "stat                                               mean        std   \n",
-       "task                   model otx_version                             \n",
-       "anomaly all   1.5.2            45.700000  29.443166   \n",
-       "                             1.6.0            47.200000  28.475330   \n",
-       "                             2.0.0            30.461665   8.015900   \n",
-       "                       padim 1.5.2            17.800000   0.447214   \n",
-       "                             1.6.0            20.400000   5.366563   \n",
-       "                             2.0.0            22.878530   0.825703   \n",
-       "                       stfpm 1.5.2            73.600000   2.073644   \n",
-       "                             1.6.0            74.000000   0.000000   \n",
-       "                             2.0.0            38.044800   0.362418   \n",
-       "\n",
-       "data_group                                       small            \\\n",
-       "metric                                   test/f1-score             \n",
-       "stat                                              mean       std   \n",
-       "task                   model otx_version                           \n",
-       "anomaly all   1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.859403  0.006254   \n",
-       "                       padim 1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.855172  0.000000   \n",
-       "                       stfpm 1.5.2            1.000000  0.000000   \n",
-       "                             1.6.0            1.000000  0.000000   \n",
-       "                             2.0.0            0.863634  0.006577   \n",
-       "\n",
-       "data_group                                                          \n",
-       "metric                                   train/e2e_time             \n",
-       "stat                                               mean        std  \n",
-       "task                   model otx_version                            \n",
-       "anomaly all   1.5.2            28.133333  13.850347  \n",
-       "                             1.6.0            31.433333  16.163554  \n",
-       "                             2.0.0            24.156922   8.789108  \n",
-       "                       padim 1.5.2            15.000000   0.000000  \n",
-       "                             1.6.0            16.133333   1.609002  \n",
-       "                             2.0.0            15.926008   0.574783  \n",
-       "                       stfpm 1.5.2            41.266667   0.641179  \n",
-       "                             1.6.0            46.733333   0.149071  \n",
-       "                             2.0.0            32.387835   2.026999  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/f1-score'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
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rrVwvinMri1HCuHjLMSxg7Z3HmopRuV5Ujq9bRKzu9D009D2UfKJGjRq2505OThQrVozq1avbpt3sLsTGxhIdHU39+vXTXbOkYcOGXLt2jT///JPLly+TnJxMvXr1bO8XLVqUSpUq2V7v2bOHtLQ0KlasmK6OpKSkfH9l31wPLPXr12fZsmXppq1cuZL69esD4Orqyn333cfq1atp06YNABaLhdWrV9O3b9/cLu8WTs7OnK4/nBKbXsZipD/w1mJY/zxTfzhBOtBPJNfc7ntoGNYDcc2BVXLkDrAiucnFxSXda5PJlG7azXBisVhyZH3Xrl3DycmJbdu23fL98PbO34cxZPs0l2vXrrFz50527twJWE9b3rlzJzExMYB1l1f37t1t41944QWOHj3KwIEDOXDgAJ9++inff/89r776qm1M//79mTp1KtOmTSM6OprevXuTkJBgO2sor9WK6sGuBh9z3pQ+jcaairGrwcfUiuphl7pECpPMvodX8MZiQIlzG2HlW9YEI1IAVKlShc2bN2P87f/pX375BR8fH0qVKkW5cuVwcXFhy5YttvcvX77MoUOHbK9r1apFWloasbGxlC9fPt3jdl2L/CDbuwl+//13GjdubHt98ziSHj168PXXX3PmzBlbeAEoW7YsS5cu5dVXX+Wjjz6iVKlS/Pe//7Wd0gzQuXNnzp8/z7Bhwzh79iw1a9Zk+fLltxyIm5dqRfUg7d9d2fePK2xqz4pI3vnn99DNP5jBv3tT9fxSxrpMhU2TwNUbGuXt5Q9EcsOLL77Ihx9+yEsvvUTfvn05ePAgw4cPp3///pjNZry9vXn22WcZMGAAxYoVIyAggCFDhmD+2yU2KlasSNeuXenevTvjx4+nVq1anD9/ntWrV1OjRg1atsy/x15m+9e3UaNG6dLfP2V0FdtGjRqxY8eO2y63b9++dmkB3Y6Ts7MOrBWxs39+D8eVj6fVpBt4pSQyzGU6rBsNLp7Q8GU7Vily70qWLMmyZcsYMGAAkZGRFC1alGeffdZ20C7ABx98wLVr12jVqhU+Pj689tprxMXFpVvOV199xciRI3nttdc4deoUxYsX51//+hePPfZYXm9SjjIZt0sf+Uh8fDx+fn7ExcXh6+tr73JEJBd9suYw4346xGvui3mJ76wTW46H+5+zb2Hi8BITEzl27Bhly5bF3d3d3uUUGrf73LP6+61LtYpIvvPCw+WoXtKP8YmPs9TvSevEpa/Bzm/tW5iI5BoFFhHJd5ydzIzvFImrk5k+5x7jj7JdrW8sehH2LbRrbSKSOxRYRCRfqhjoQ79HKwAm2h1rxfWqT4JhgXnPwqEVd5xfRPIXBRYRybeefzCcyFB/4hMt9LnaA6Nae7CkwuxucHS9vcsTkRykwCIi+Zazk5nxHWvg6mxm7aFLzA0dCpVaQFoSfPskxGy580JEJF9QYBGRfK18gA+vN7VehvydZYc5/einEN4YUhJgZkc4vdO+BYpIjlBgEZF879kHwqld2p+rSam8segQxhMzoXQDSIqD6W0hNtreJYrIPVJgEZF8z8lsYlzHSNyczWw4fIHvdl6ELrMhpBbcuATftIaLR+xdpojcAwUWESkQwkt4MyDKetfakUv28+cNZ3hqPgRUhWvnrKHlykk7Vykid0uBRUQKjJ4Ny3J/WBESktN4Y95uDI8i0H0hFCsPcSfhm8fh6ll7lyniMNatW4fJZOLKlSuA9fY6/v7+dq0pMwosIlJgOJlNfNAhEncXM7/8cZGZW2LAOwC6Lwb/0nDpKHzTBhIu2rtUyefSLAabj1xk0c5TbD5ykTRLgbjLDZ07d05392dHolsPi0iBElbcizeaVebtH/Yzalk0D1csQWjRktbQ8lVzOB8NM9pCjx/A3c/e5Uo+tHzvGd7+YT9n4hJt04L93BneKoJm1YLtWNm98/DwwMPDw95lZEh7WESkwOlRP4y6ZYtyPTmNAXN3YbEYULSsNbR4Foczu6ynPCdds3epks8s33uG3jO2pwsrAGfjEuk9YzvL957JtXU3atSIvn370rdvX/z8/ChevDhvvfUWN+9hPH36dOrUqYOPjw9BQUF06dKF2NjYdMtYtmwZFStWxMPDg8aNG3P8+PF07/+zJTRixAhq1qzJl19+SenSpfH29ubFF18kLS2N999/n6CgIAICAnjvvfdybbtvUmARkQLHbDYxrkMknq5O/Hr0EtN/PWF9o0RF6LbAumfl5Bb47klISbz9wqRAMwyD68mpWXpcTUxh+OJ9ZNT8uTltxOL9XE1MydLybgaN7Jg2bRrOzs5s3bqVjz76iAkTJvDf//4XgJSUFN5991127drFwoULOX78OE8//bRt3pMnT9KuXTtatWrFzp07ee655xg0aNAd13nkyBF+/PFHli9fzrfffssXX3xBy5Yt+fPPP1m/fj1jx45l6NChbNmSuxdqVEtIRAqk0sU8Gdy8Mm8t2seYHw/QqFIJyhTzguAa1rOHvmkNx36G77tD5xng7GrvksUObqSkETEsZ+49ZQBn4xOpPuKnLI3f/04Unq7Z+xkODQ1l4sSJmEwmKlWqxJ49e5g4cSK9evXimWeesY0LDw/n448/5v777+fatWt4e3szZcoUypUrx/jx4wFs848dO/a267RYLHz55Zf4+PgQERFB48aNOXjwIMuWLcNsNlOpUiXGjh3L2rVrqVevXra2Jzu0h0VECqyu9cpQP7wYN1LSGDBnt7U1BFCqjvU6Lc7ucHgFzO8Faan2LVYkC/71r39hMplsr+vXr8/hw4dJS0tj27ZttGrVitKlS+Pj48PDDz8MQExMDADR0dG3BIr69evfcZ1hYWH4+PjYXgcGBhIREYHZbE437Z/tp5ymPSwiUmCZzSbe71CDZh/+zNbjl/h603GeeaCs9c2wB6DzTPj2Cdi/EFw8ofVkMOvfcYWJh4sT+9+JytLYrccu8fRXv91x3Nc976du2aJZWndOSUxMJCoqiqioKGbOnEmJEiWIiYkhKiqK5OTke1q2i4tLutcmkynDaRaL5Z7Wcyf6ZopIgRZa1JM3W1YB4P0VBzh6/m8H2lZoAh2/ApMT7JoFPw6AuziuQPIvk8mEp6tzlh4PVihBsJ87psyWhfVsoQcrlMjS8v6+pySr/nmcyK+//kqFChU4cOAAFy9eZMyYMTz44INUrlz5lj0eVapUYevWrbfMn18osIhIgdelbmkeKF+cxBQLA+buTn/NjCqtoO1ngAl++y+sHKbQIhlyMpsY3ioC4JbQcvP18FYROJmzH0SyKiYmhv79+3Pw4EG+/fZbJk2axCuvvELp0qVxdXVl0qRJHD16lMWLF/Puu++mm/eFF17g8OHDDBgwgIMHDzJr1iy+/vrrXKs1pymwiEiBZzKZGNuhBt5uzmw7cZmvfjmWfkCNTtDqQ+vzTR/D+vfzvEbJH5pVC2bKU7UJ8nNPNz3Iz50pT9XO9euwdO/enRs3blC3bl369OnDK6+8wvPPP0+JEiX4+uuvmTNnDhEREYwZM4Zx48alm7d06dLMmzePhQsXEhkZyWeffcaoUaNytd6cZDLu5rwqBxQfH4+fnx9xcXH4+vrauxwRcUDfbY1h0Pw9uDmbWfryg5QP8E4/YPOnsGKw9XnTkdDgpbwvUnJVYmIix44do2zZsri7u995hkykWQy2HrtE7NVEAnzcqVu2aK7uWQHrdVhq1qzJhx9+mKvryQ23+9yz+vutPSwiUmh0vj+UhyqWICnVwutzdt16OfX6L8IjQ63PfxoKv32R90VKvuBkNlG/XDFa1yxJ/XLFcj2siAKLiBQiJpOJse2r4+PuzM6TV5i64eitgx58HR541fp8aX/Y+W3eFikiGVJgEZFCJdjPg2GPWQ+cnLDyEIfPXU0/wGSCfw+Huv+xvl70IuxflMdVitxq3bp1+bIdlFMUWESk0OlwXykeqRxA8l+todS0f1w/wmSCZmOg1lNgWGDus3Aoa1cvFZHcocAiIoWOyWRiVNvq+Lo7s+vPOD7/OYPWkNkMrT6Gqu3AkgKzn4Kj6/O+WBEBFFhEpJAK8nNnxONVAfhw1SEOnI2/dZDZCdr9H1RqAWlJ8O2TcHLrreNEJNcpsIhIodW2VkmaVAkkJc3g9Tm7SPlnawjAyQU6fAXhjSElAWZ0gNM787xWkcJOgUVECi2TycSodtXw93Rh76l4Plt3JOOBLu7wxEwoXR+S4mB6W4iNzttiRQo5BRYRKdQCfNx5+6/W0MdrDrP/dAatIQBXL+jyPYTUghuX4Js2cDGTgCMiOU6BRUQKvccjQ4iq+r/WUHJqJneddfeFp+ZDQFW4dha+aQ1XTuZtsSJZdODAAf71r3/h7u5OzZo17V3OPVNgEZFCz2QyMbJNdYp4urD/TDyT1/6R+WDPotB9IRQrD3En4ZvH4erZPKtVHIQlDY5tgD1zrX9a0uxWytNPP02bNm1umT58+HC8vLw4ePAgq1evzvvCcpgCi4gIUMLHjXfbVANg8to/2HsqLvPB3gHQfRH4lYZLR63toeuX8qZQsb/9i+HDajDtMZj3rPXPD6tZpzuQI0eO8MADD1CmTBmKFStm73LumQKLiMhfHqsRQovqQaRa7tAaAvArBT0WgU8wnI+2HoibeJuQIwXD/sXwfXeIP51+evwZ6/RcDC1z586levXqeHh4UKxYMZo0acKAAQOYNm0aixYtwmQyYTKZWLduHSaTiW3btvHOO+9gMpkYMWIEx48fx2Qy8d1339GgQQPc3d2pVq0a69f/7/pCN+ddsWIFtWrVwsPDg0ceeYTY2Fh+/PFHqlSpgq+vL126dOH69eu5tq0ZUWAREfmbd1tXo5iXKwfOXmXSmsO3H1w03LqnxbMYnNkJMztCckKe1Ck5xDCs/82y8kiMhx8HAkZGC7L+sfwN67isLM/IaDkZO3PmDE8++STPPPMM0dHRrFu3jnbt2jF8+HA6depEs2bNOHPmDGfOnKFBgwacOXOGqlWr8tprr3HmzBlef/1127IGDBjAa6+9xo4dO6hfvz6tWrXi4sWL6dY3YsQIPvnkEzZt2sTJkyfp1KkTH374IbNmzWLp0qX89NNPTJo06S4+8LvnnKdrExFxcMW83RjZphq9Z27n03VHeDQikBql/DOfoUQl6LbQ2hY4ucV6cbku31tPhRbHl3IdRoXk0MIM656XMaFZG/7maevZZ1lw5swZUlNTadeuHWXKlAGgevXqAHh4eJCUlERQUJBtfFBQEM7Oznh7e9umX7hwAYC+ffvSvn17AKZMmcLy5cv54osvGDhwoG3+kSNH0rBhQwCeffZZBg8ezJEjRwgPDwegQ4cOrF27ljfeeCNr25oDtIdFROQfmlcPplVkCGl/tYaSUu9wQGVwDeg6D1y94dh6mNMDUpPzplgpFCIjI/n3v/9N9erV6dixI1OnTuXy5ct3taz69evbnjs7O1OnTh2io9NfV6hGjRq254GBgXh6etrCys1psbGxd7X+u6U9LCIiGXjn8apsPnKRQ+eu8dGqwwxsVvn2M4TeD09+BzM7wKHlML8XdPjSenl/cVwuntY9HVlxYpP1v++ddJ0LZRpkbd1Z5OTkxMqVK9m0aZOtHTNkyBC2bNmS5WVkh4uLi+25yWRK9/rmNIvlNsd45QLtYRERyUARL1fea2s9a+iz9UfYefLKnWcq+yB0nglmF9i/EBa/BHn8l7pkk8lkbctk5VHuEfANAUyZLQx8S1rHZWV5psyWk1mpJho2bMjbb7/Njh07cHV1ZcGCBbi6upKWlvXTqn/99Vfb89TUVLZt20aVKlWyVYs9KLCIiGQiqmoQbWqGYDHgte93kpiShR+FCk2g41dgcoKdM60HaWbj4EpxYGYnaDb2rxf/DBt/vW42Jlf2qm3ZsoVRo0bx+++/ExMTw/z58zl//jxVqlQhLCyM3bt3c/DgQS5cuEBKSsptlzV58mQWLFjAgQMH6NOnD5cvX+aZZ57J8ZpzmgKLiMhtjHi8KiV83DhyPoGJKw9lbaYqraDNFMAEv02FVcMVWgqKiMeh0zfgG5x+um+IdXrE47myWl9fX37++WdatGhBxYoVGTp0KOPHj6d58+b06tWLSpUqUadOHUqUKMEvv/xy22WNGTOGMWPGEBkZycaNG1m8eDHFixfPlbpzlHEXPvnkE6NMmTKGm5ubUbduXWPLli2Zjk1OTjbefvttIzw83HBzczNq1Khh/Pjjj+nGpKamGkOHDjXCwsIMd3d3Izw83HjnnXcMi8WS5Zri4uIMwIiLi7ubTRIRydTKfWeNMm8sMcoOWmL8fvxS1mf87UvDGO5rfawbm3sFSpbduHHD2L9/v3Hjxo17W1BaqmEc/dkwds+x/pmWmjMF5qJjx44ZgLFjx448X/ftPves/n5new/L7Nmz6d+/P8OHD2f79u1ERkYSFRWV6dHCQ4cO5fPPP2fSpEns37+fF154gbZt27Jjxw7bmLFjxzJlyhQ++eQToqOjGTt2LO+//36en+MtIpKRJhGBtKtdEosBA+bsylprCKBOT4gabX2+9j3Y9EnuFSl5y+xkPWapegfrnzq4OtdlO7BMmDCBXr160bNnTyIiIvjss8/w9PTkyy+/zHD89OnTefPNN2nRogXh4eH07t2bFi1aMH78eNuYTZs20bp1a1q2bElYWBgdOnSgadOmbN269e63TEQkBw1/rCqBvm4cvZDAuBUHsz5j/Reh8VDr85+GwO8Z/10pIreXrcCSnJzMtm3baNKkyf8WYDbTpEkTNm/enOE8SUlJuLunv4CSh4cHGzdutL1u0KABq1ev5tAha394165dbNy4kebNm2enPBGRXOPn6cKYdtZrU3zxyzF+O56Newc99Do07Gd9vqQ/7Pou5wsUuYOwsDAMw8i3d27OVmC5cOECaWlpBAYGppseGBjI2bMZ3600KiqKCRMmcPjwYSwWCytXrmT+/PmcOXPGNmbQoEE88cQTVK5cGRcXF2rVqkW/fv3o2rVrprUkJSURHx+f7iEikpsaVw6gU51SGH+1hm4kZ7E1ZDJBkxFQ93nAgIW9Yf+i3CxVpMDJ9bOEPvroIypUqEDlypVxdXWlb9++9OzZE7P5f6v+/vvvmTlzJrNmzWL79u1MmzaNcePGMW3atEyXO3r0aPz8/GyP0NAsXgpZROQeDH0sgmA/d45fvM77Kw5kfUaTyXpKbM2nwLDA3Gfh0E+5V6jclqGztvJUTnze2QosxYsXx8nJiXPnzqWbfu7cuXT3MPi7EiVKsHDhQhISEjhx4gQHDhzA29s73SV+BwwYYNvLUr16dbp168arr77K6NGjM61l8ODBxMXF2R4nT57MzqaIiNwVX3cXxrS3toa++uU4vx69eIc5/sZshsc/hqrtwJIC33eDYz/nUqWSkZtXbM3rOw0Xdjc/739eMTc7snVpfldXV+677z5Wr15NmzZtALBYLKxevZq+ffvedl53d3dKlixJSkoK8+bNo1OnTrb3rl+/nm6PC1gvQ3y7y/66ubnh5uaWnfJFRHLEwxVL8GTdUL7depKBc3fz4ysP4uWWxb9OzU7Q7v8g5QYc+hFmPQHdF0Jo3VytWaycnJzw9/e3ndnq6emJKZtXnJWsMwyD69evExsbi7+/P05Od382VbbvJdS/f3969OhBnTp1qFu3Lh9++CEJCQn07NkTgO7du1OyZEnb3pEtW7Zw6tQpatasyalTpxgxYgQWiyXdXSFbtWrFe++9R+nSpalatSo7duxgwoQJ+eLKeyJSOL3Zogo/H7pAzKXrjF1+gHdaV8v6zE4u0PFr+LYzHF0HMzrA0z9AcGRulSt/c7MjkNc37yvM/P39M+3EZFW2A0vnzp05f/48w4YN4+zZs9SsWZPly5fbDsSNiYlJt7ckMTGRoUOHcvToUby9vWnRogXTp0/H39/fNmbSpEm89dZbvPjii8TGxhISEsJ//vMfhg0bdk8bJyKSW3zcXRjbvgZPfbGFbzafoFm1IBqUy8bVQl3c4YlZMKM9xGyG6W3h6WUQcIebLMo9M5lMBAcHExAQcMfL2Mu9c3Fxuac9KzeZjAJy5FF8fDx+fn7ExcXh6+tr73JEpJAYsmAPM7fEUKqIB8v7PYR3VltDNyXGwTet4fQO8A6CZ36EouF3nk+kgMjq77fuJSQicg8Gt6hCqSIe/Hn5BqOXRWd/Ae5+8NR8CIiAa2dhWmu4opMIRP5JgUVE5B54uznzfgfrWUMzt8Sw8fCF7C/Esyh0WwjFykNcjHWPy9Vzd5xNpDBRYBERuUcNyhWnR/0yALwxbzdXE+/iuAifQOi+CPxKw6UjML0NXM/G1XRFCjgFFhGRHPBG88qULurJqSs3GHU3rSEAv1LQY5H1WJbY/dYDcRPjcrZQkXxKgUVEJAd4ujrzwV+toW+3nmT9ofN3t6Ci4dY9LZ7F4MxOmNkJkhNyrlCRfEqBRUQkh9QLL0bPhmEAvDF3N3E37vKU2YDK1mNa3P3g5K/wXRdIScyxOkXyIwUWEZEcNDCqMmHFPDkbn8jIJfvvfkHBNaDrPHDxsl5cbs7TkKZrhkjhpcAiIpKDPFydGNcxEpMJ5mz7k7UH7uFqqqH3Q5fZ4OxuvYz//F5gyeIdokUKGAUWEZEcViesKM82LAvAoPm7ibt+D3tGyj4InWeA2QX2LYDFL8Ft7rMmUlApsIiI5ILXoyoRXtyLc/FJvL1k370trMKj0OFLMDnBzpnw40AoGBcpF8kyBRYRkVzg7uLEuE6RmE0wf/spVu2/xwvBRTwObaYAJvhtKqwartAihYoCi4hILqldugi9HrLeF2jwgj1cuZ58bwuM7AyPTbQ+/+Uj+HncPVYokn8osIiI5KJXm1SkfIA3568mMWLxPbaGAOr0hKhR1udrR8Lmyfe+TJF8QIFFRCQXubtYzxoym2DhztMs33v23hdavw80HmJ9vuJN+P2re1+miINTYBERyWU1Q/154eFyAAxduIdLCffYGgJ4aAA07Gd9vuRV2DX73pcp4sAUWERE8sArTSpQMdCbC9eSGbZo770v0GSCJiPg/l6AAQt7w/7F975cEQelwCIikgfcnJ0Y37EmTmYTS3afYdmeM/e+UJMJmr8PNbuCkQZzn4HDK+99uSIOSIFFRCSPVC/lx4uNbraG9nLhWtK9L9RshscnQdV2YEmB2U/BsQ33vlwRB6PAIiKSh156pAKVg3y4lJDMWwv3YuTEtVTMTtDu/6Bic0hNhFmd4eRv975cEQeiwCIikodcnc2M6xiJs9nEj3vPsmR3DrSGAJxcoOPXEN4IUhJgRns4sytnli3iABRYRETyWLWSfvR9pDwAwxbt5fzVHGgNAbi4wxOzIPRfkBQH09vC+YM5s2wRO1NgERGxgz6NyxMR7Mvl6ykMXbgnZ1pDAK5e0PV7CK4J1y/CtMfh0tGcWbaIHSmwiIjYgYuTtTXk4mRixb5zLN51OucW7u4H3RZAQARcOwvTWkPcnzm3fBE7UGAREbGTiBBfXn6kAgDDFu0jNj4x5xbuWRS6LYSi5SAuxrqn5eo93oBRxI4UWERE7OiFRuWoXtKPuBspvLkgB1tDAD6B0GMx+JWGS0dgehu4finnli+ShxRYRETs6GZryNXJzKroWBbsOJWzK/ArBT0WgXcQxO63HoibGJez6xDJAwosIiJ2VinIh1eaWFtDIxbv42xcDraGAIqGQ/dF4FkMzuy0XqclOSFn1yGSyxRYREQcwH8eCieylB/xiakMnr87Z1tDAAGVrQfiuvlBzGb4rguk5HAwEslFCiwiIg7A+WZryNnM2oPnmbMtF87qCY6Ep+aCixccXQdznoa0lJxfj0guUGAREXEQFQJ9eO3RigC8+8N+zsTdyPmVhNaFLrPB2R0O/QjznwdLWs6vRySHKbCIiDiQ5x4Mp1Zpf64mpfLGvBw+a+imsg9Cp+lgdoF982Hxy2Cx5Px6RHKQAouIiANxMpsY1zESN2czPx86z+zfTubOiio2hQ5fgMkMO2fA8jcgN8KRSA5RYBERcTDlSngzIKoSACOXRvPn5eu5s6KI1tDmM8AEW/8PVo1QaBGHpcAiIuKAejYsS50yRbiWlMqg3GoNAUR2hscmWJ//8iH8PC531iNyjxRYREQckJPZxAcdI3F3MbPxjwvM2hqTeyur8ww0fc/6fO1I2Dw599YlcpcUWEREHFTZ4l4MjKoMwHtLozl5KZdaQwAN+kLjIdbnK96E37/KvXWJ3AUFFhERB/Z0gzDqhhXlenIaA+fuxmLJxWNMHhoADV+xPl/yKuyanXvrEskmBRYREQdmNpv4oGMNPFyc2Hz0IjO2nMi9lZlM0ORtuL8XYMDC3rB/ce6tTyQbFFhERBxcmWJeDGpubQ2NXnaAmIu52BoymaD5+1CzKxhpMPcZOLwq99YnkkUKLCIi+UC3f5XhX+FFuZGSxutzd+Vua8hshscnQdW2YEmB2V3h2IbcW59IFiiwiIjkA2aziQ86ROLp6sTWY5eYtvl4Lq/QCdr+H1RsBqmJ1js8n/wtd9cpchsKLCIi+URoUU/ebFEFgLHLD3DsQkLurtDZFTpOg7IPQ0oCzGwPZ3bn7jpFMqHAIiKSj3StV5oHyhcnMcXCgDm7SMvN1hCAizs8+S2E/gsS42B6Gzh/MHfXKZKBuwoskydPJiwsDHd3d+rVq8fWrVszHZuSksI777xDuXLlcHd3JzIykuXLl98y7tSpUzz11FMUK1YMDw8Pqlevzu+//3435YmIFFgmk4kx7avj7ebM7ycu89Uvx3J/pa5e0PV7CK4J1y/CtMfh0tHcX6/I32Q7sMyePZv+/fszfPhwtm/fTmRkJFFRUcTGxmY4fujQoXz++edMmjSJ/fv388ILL9C2bVt27NhhG3P58mUaNmyIi4sLP/74I/v372f8+PEUKVLk7rdMRKSAKlXEkyEtra2hD1Yc5Mj5a7m/Unc/6LYAAiLg2lmY1hri/sz99Yr8xWRk8wYV9erV4/777+eTTz4BwGKxEBoayksvvcSgQYNuGR8SEsKQIUPo06ePbVr79u3x8PBgxowZAAwaNIhffvmFDRvu/ij0+Ph4/Pz8iIuLw9fX966XIyKSHxiGQfcvt7Lh8AVqlfZn7gsNcDKbcn/FV8/BV82se1iKlYeeP4J3QO6vVwqsrP5+Z2sPS3JyMtu2baNJkyb/W4DZTJMmTdi8eXOG8yQlJeHu7p5umoeHBxs3brS9Xrx4MXXq1KFjx44EBARQq1Ytpk6dettakpKSiI+PT/cQESksTCYTY9vXwMfNmR0xV/jvhjxq0fgEQvfF4BcKF/+Ab1rD9Ut5s24p1LIVWC5cuEBaWhqBgYHppgcGBnL27NkM54mKimLChAkcPnwYi8XCypUrmT9/PmfOnLGNOXr0KFOmTKFChQqsWLGC3r178/LLLzNt2rRMaxk9ejR+fn62R2hoaHY2RUQk3wvx9+CtxyIAGL/yEH/EXs2bFfuHQvdF4B0EsfthRjtI1D8aJXfl+llCH330ERUqVKBy5cq4urrSt29fevbsidn8v1VbLBZq167NqFGjqFWrFs8//zy9evXis88+y3S5gwcPJi4uzvY4efJkbm+KiIjD6VinFI0qlSA51cJrc3aTmmbJmxUXK2cNLR5F4fQOmNUJknP5NGsp1LIVWIoXL46TkxPnzp1LN/3cuXMEBQVlOE+JEiVYuHAhCQkJnDhxggMHDuDt7U14eLhtTHBwMBEREenmq1KlCjExmd9O3c3NDV9f33QPEZHCxmQyMaZdDXzcndl18gr/l1etIYCAytB9Ibj5Qcxm+K4rpCTm3fqlUMlWYHF1deW+++5j9erVtmkWi4XVq1dTv379287r7u5OyZIlSU1NZd68ebRu3dr2XsOGDTl4MP15/YcOHaJMmTLZKU9EpFAK8nNnRKuqAHy48jAHz+ZRawggOBKemgsuXnB0LcztCWkpebd+KTSy3RLq378/U6dOZdq0aURHR9O7d28SEhLo2bMnAN27d2fw4MG28Vu2bGH+/PkcPXqUDRs20KxZMywWCwMHDrSNefXVV/n1118ZNWoUf/zxB7NmzeL//u//0p1ZJCIimWtXuyRNqgSQnGbh9Tm7SMmr1hBAaF3o8h04u8PBZTD/ebCk5d36pVDIdmDp3Lkz48aNY9iwYdSsWZOdO3eyfPly24G4MTEx6Q6oTUxMZOjQoURERNC2bVtKlizJxo0b8ff3t425//77WbBgAd9++y3VqlXj3Xff5cMPP6Rr1673voUiIoWAyWRiVNvq+Hm4sOdUHJ+vP5K3BZR9CDpNB7ML7JsPi18GSx6GJinwsn0dFkel67CIiMDCHafoN3snLk4mFvd9gCrBefz34f5FMOdpMCxQ9z/QfCyY8uD6MJJv5cp1WERExLG1rhlC04hAUtIMXvs+j1tDABGtoc0U6/Otn8Pqt6Fg/LtY7EyBRUSkADGZTLzXtjpFPF3YfyaeyWv/yPsiIp+AlhOszzdOhA3j8r4GKXAUWERECpgSPm683boaAJ+s+YN9p+Pyvoj7n4Wm71mfrxkJmz/N+xqkQFFgEREpgFrVCKZ5tSBSLdbWUHKqHQ6AbdAXGr1pfb5iMGz7Ou9rkAJDgUVEpAAymUy826YaRb1cOXD2Kp+sOWyfQh4eCA1etj7/oR/s/t4+dUi+p8AiIlJAFfd2492/WkOT1x1hz592aA2ZTPDoO3D/c4ABC16A6B/yvg7J9xRYREQKsJY1gnmsRjBpFoPX5+wiKdUOF3QzmaD5BxDZBYw0mNMTDq/K+zokX1NgEREp4N5pXY3i3q4cPHeVj1fbqTVkNsPjkyCiDVhSYHZXOL7RPrVIvqTAIiJSwBX1cmVkm+oATFl3hF0nr9inECdnaDcVKjaD1ESY1Rn+/N0+tUi+o8AiIlIINKsWROuaIVgMeG3OLhJT7HSvH2dX6DjNein/5Gswox2c2W2fWiRfUWARESkkRrSqSgkfN/6IvcbEVYfsV4iLOzzxLYTWg8Q4mN4Wzh+0Xz2SLyiwiIgUEkW8XBnV1toamvrzUbbHXLZfMW7e0HUOBEfC9QvwTWu4dMx+9YjDU2ARESlEHo0IpF2tklgMeN2erSEAdz94agGUqAJXz8A3j0Pcn/arRxyaAouISCEzvFVVAnzcOHo+gfE/2bkV41UMui+EouFwJca6p+VarH1rEoekwCIiUsj4ebowpr21NfTfjcf4/fgl+xbkEwTdF4NfKFz8A75pA9ftXJM4HAUWEZFC6JHKgXS4rxSGAQPm7uZGsh1bQwD+odB9EXgHQuw+mNEeEuPtW5M4FAUWEZFC6q3HIgjydefYhQQ+WOEAZ+kUK2cNLR5F4fR2mNUJkhPsXZU4CAUWEZFCys/jf62hrzYdY8vRi3auCAioAt0WgJsfxGyG77pCapK9qxIHoMAiIlKINaoUwBP3h9paQ9eTU+1dEoTUtJ7y7OIFR9fCnKchLcXeVYmdKbCIiBRyQ1pWIcTPnZhL1xn74wF7l2NVuh48+S04ucHBZbDgP2Cx83E2YlcKLCIihZyPuwtjO9QAYNrmE2w+4gCtIYDwh6HzDDC7wN558MPLYLHYuyqxEwUWERHhwQol6FKvNAAD5u4iIckBWkMAFZtC+/+CyQw7ZsDyQWAY9q5K7ECBRUREAHizRRVK+nvw5+UbjP4x2t7l/E/VNtD6U+vzrZ/D6nfsWo7YhwKLiIgA4O3mzAd/tYZm/BrDL39csHNFf1PzSWg5wfp84wT4eZx965E8p8AiIiI2DcoXp9u/ygAwcO5uriY60Nk59z8LTUdan695FzZ/at96JE8psIiISDqDmlcmtKgHp67cYNQyBzlr6KYGL0GjwdbnKwbDtq/tWo7kHQUWERFJx8vNmQ86RALw7dYYfj503s4V/cPDb0CDl63Pf+gHu+fYtRzJGwosIiJyi3+FF+PpBmEAvDFvN/GO1BoymeDRd6DOs4BhvUZL9A/2rkpymQKLiIhkaGCzSoQV8+RMXCIjl+y3dznpmUzQYhxEdgEjDeb0hMOr7F2V5CIFFhERyZCnqzMfdIzEZILvf/+TtQdj7V1SemYzPD4JItqAJQVmd4XjG+1dleQSBRYREcnU/WFFeaZhWQAGzdtN3HUHag0BODlDu6lQIQpSE2FWZ/jzd3tXJblAgUVERG7r9aaVCC/uxbn4JN5xtNYQgLMrdPoGyj4EyddgRjs4u8feVUkOU2AREZHb8nB14oOOkZhNMG/7n6zaf87eJd3KxR2e+BZC60FiHHzTBs4fsndVkoMUWERE5I7uK1OE5x4MB+DNBXu4cj3ZzhVlwM0bunwPwZFw/QJ88zhcOmbvqiSHKLCIiEiW9H+0IuVKeBF7NYm3f3DA1hCAhz88tQBKVIGrZ6yhJe6UvauSHKDAIiIiWeLu4sS4v1pDC3acYsW+s/YuKWNexaD7QigaDldirKHlmoOd4STZpsAiIiJZVqt0Ef7zcDkAhizYw6UEB2wNAfgEQffF4BcKF/+wHtNy/ZK9q5J7oMAiIiLZ0q9JBSoEeHPhWjLDF++zdzmZ8w+F7ovAOxBi98GM9pAYb++q5C4psIiISLa4OVtbQ05mEz/sOs2Pe87Yu6TMFStnDS0eReH0dut1WpKv27squQsKLCIikm2Rof70/qs1NHThXi5eS7JzRbcRUAW6LQA3X4jZZL0ibqoD1ysZUmAREZG78tK/y1M5yIeLCckMW+TArSGAkJrQdS64eMGRNdZ7D6U52FV75bYUWERE5K7cbA05m00s3XOGJbtP27uk2ytdD578Fpzc4OBSWPACWNLsXZVkkQKLiIjctWol/XixcXkA3lq4l/NXHbzVEv4wdJ4OZmfYOxd+eAUsFntXJVlwV4Fl8uTJhIWF4e7uTr169di6dWumY1NSUnjnnXcoV64c7u7uREZGsnz58kzHjxkzBpPJRL9+/e6mNBERyWN9G5enSrAvl6+nMHThHgzDsHdJt1cxCtr/F0xm2DEdVgwGR69Zsh9YZs+eTf/+/Rk+fDjbt28nMjKSqKgoYmMzvijP0KFD+fzzz5k0aRL79+/nhRdeoG3btuzYseOWsb/99huff/45NWrUyP6WiIiIXbg6mxn/V2toxb5zLN7l4K0hgKptofWn1udbPoM179q3HrmjbAeWCRMm0KtXL3r27ElERASfffYZnp6efPnllxmOnz59Om+++SYtWrQgPDyc3r1706JFC8aPH59u3LVr1+jatStTp06lSJEid7c1IiJiFxEhvrz87woADFu0j9j4RDtXlAU1n4SWf/0WbRgPP4+zbz1yW9kKLMnJyWzbto0mTZr8bwFmM02aNGHz5s0ZzpOUlIS7u3u6aR4eHmzcuDHdtD59+tCyZct0y76dpKQk4uPj0z1ERMR+ejcqR7WSvsTdSOHNBXsdvzUEcP9z8Ohfe1fWvAu/TrFvPZKpbAWWCxcukJaWRmBgYLrpgYGBnD2b8T0loqKimDBhAocPH8ZisbBy5Urmz5/PmTP/u9DQd999x/bt2xk9enSWaxk9ejR+fn62R2hoaHY2RUREcpiLk5lxHSNxcTKxKvocC3fmk5sONnwZGg22Pl8+CLZNs289kqFcP0voo48+okKFClSuXBlXV1f69u1Lz549MZutqz558iSvvPIKM2fOvGVPzO0MHjyYuLg42+PkyZO5tQkiIpJFlYN86dekIgDDF+3jXH5oDQE8/AY0eMn6/IdXYPcc+9Yjt8hWYClevDhOTk6cO3cu3fRz584RFBSU4TwlSpRg4cKFJCQkcOLECQ4cOIC3tzfh4eEAbNu2jdjYWGrXro2zszPOzs6sX7+ejz/+GGdnZ9LSMj5H3s3NDV9f33QPERGxv/88FE6NUn7EJ6YyeH4+OGsIwGSytobqPAsYsOA/EL3E3lXJ32QrsLi6unLfffexevVq2zSLxcLq1aupX7/+bed1d3enZMmSpKamMm/ePFq3bg3Av//9b/bs2cPOnTttjzp16tC1a1d27tyJk5PTXWyWiIjYi7OT9awhVyczaw7EMnfbn/YuKWtMJmgxDiKfBCMN5vaEP1bZuyr5S7ZbQv3792fq1KlMmzaN6OhoevfuTUJCAj179gSge/fuDB482DZ+y5YtzJ8/n6NHj7JhwwaaNWuGxWJh4MCBAPj4+FCtWrV0Dy8vL4oVK0a1atVyaDNFRCQvVQj04dVHra2hd5bs50zcDTtXlEVmMzz+CUS0hrRk+O4pOP6LvasS7iKwdO7cmXHjxjFs2DBq1qzJzp07Wb58ue1A3JiYmHQH1CYmJjJ06FAiIiJo27YtJUuWZOPGjfj7++fYRoiIiOPp9WBZaob6czUxlUHz8klrCMDJGdr9FypEQeoNmNUJ/txm76oKPZORb/4Pur34+Hj8/PyIi4vT8SwiIg7ij9hrtPh4A8mpFsa2r07n+0vbu6SsS/krrBz7Gdz94OmlEFTd3lUVOFn9/da9hEREJNeUD/BmQNNKALy7JJpTV/JJawjAxQOe+BZK1YXEOPimDZw/ZO+qCi0FFhERyVXPPFCW+8oU4VpSKoPm7c4/rSEAN2/oOgeCI+H6Bfjmcbh0zN5VFUoKLCIikquczCY+6FADN2czGw5f4Nut+ey6WR7+8NQCKFEZrp6Bb1pDXD65KF4BosAiIiK5LryENwObVQbgvaX7OXnpup0ryiavYtB9ERQpC1dOWEPLtYxv+iu5Q4FFRETyRM8GYdQNK0pCchpvzNuNxZKPWkMAPkHQYzH4loKLh2F6W7h+yd5VFRoKLCIikifMZhPvd6iBh4sTm45cZOaWE/YuKfv8S1tDi3cgnNsLMztAom6+mxcUWEREJM+EFffijWbWs4ZG/3iAmIv5rDUEUKwcdFsIHkXh1DaY1RmS8+F25DMKLCIikqe61w+jXtmiXE9OY8DcXfmvNQQQGAHd5oObL8RsgtldITXJ3lUVaAosIiKSp8xmEx90iMTT1Yktxy7xzebj9i7p7oTUgq5zwcUTjqyBOT0hLcXeVRVYCiwiIpLnShfzZHCLKgCMWX6A4xcS7FzRXSpdD578Fpzc4OBSWPACWNLsXVWBpMAiIiJ20bVuaRqUK0ZiiiX/toYAwhtB5+lgdoa9c+GHV8BisXdVBY4Ci4iI2IXZbGJs+xp4uTrx2/HLfLXpuL1LunsVo6D9f8Fkhh3TYcVgyE9X9M0HFFhERMRuQot6MqRlBADvLz/A0fPX7FzRPajaFlpPtj7f8hmsede+9RQwCiwiImJXT9YN5cEKxUlKtfD6nF2k5dfWEEDNLtBinPX5hvHw8zj71lOAKLCIiIhdmUwmxrSvgbebM9tjrvDFxqP2Lune1O0Fj/61d2XNu/DrZ/atp4BQYBEREbsr6e/BW49Zzxoa99Mh/ojNx60hgIYvw8ODrM+XvwHbv7FvPQWAAouIiDiETnVCebhiCZJTLbw2Zxepafn8TJtGg6B+X+vzxS/Dnrn2rSefU2ARERGHYG0NVcfH3ZldJ68wdcMxe5d0b0wmaDoS6jwDGDD/eTiw1N5V5VsKLCIi4jCC/TwY3qoqABNXHuLQuat2rugemUzQYjzUeAKMNJjzNPyxyt5V5UsKLCIi4lDa1y7JI5UDSE6znjWU71tDZrP1dOeI1pCWDN89Bcd/sXdV+Y4Ci4iIOBSTycTodtXxdXdm959xfP5zPj9rCMDJGdr9Fyo0hdQb1js8/7nN3lXlKwosIiLicAJ93Xm7tbU19OGqQxw4G2/ninKAsyt0+gbCHoTkqzCjHZzda++q8g0FFhERcUhtapbk0YhAUtIMXvt+Fyn5vTUE4OIBT34HpepC4hX4pjWcP2TvqvIFBRYREXFIJpOJ99pWw9/ThX2n4/l07RF7l5Qz3Lyh6xwIqgHXL1hDy+Xj9q7K4SmwiIiIwwrwceftx62toUlrDrPvdJydK8ohHv7QbSGUqAxXT8O0xyHulL2rcmgKLCIi4tAejwyhWdUgUi0Gr8/ZTXJqAWgNAXgVg+6LoEhZuHLCuqfl2nl7V+WwFFhERMShmUwmRratRlEvV6LPxPPJ2j/sXVLO8QmCHovBtxRcPAzT28D1S/auyiEpsIiIiMMr7u3Gu62rATB57R/sPVVAWkMA/qWtocUrAM7thZkdILEAnBWVwxRYREQkX2hZI5iW1YNJsxi8PmcXSalp9i4p5xQrZ20PeRSFU9vg2ycg+bq9q3IoCiwiIpJvvNO6KsW8XDlw9iqTVheg1hBAYAR0mw9uvnDiF5j9FKQm2bsqh6HAIiIi+UYxbzdGtrG2hqasP8Kuk1fsW1BOC6llPeXZxROOrIa5z0Bair2rcggKLCIikq80rx7M45EhttZQYkoBag0BlP4XPPktOLnBgSWwsDdYCtg23gUFFhERyXfefrwqxb3dOBx7jQ9XHbZ3OTkvvJH1Mv5mZ9gzB5b0A8Owd1V2pcAiIiL5ThEvV0a1tbaG/u/nI+yIuWzninJBpWbQbiqYzLD9G1g+uFCHFgUWERHJl5pWDaJtrZJYDApmawigWjtoPdn6fMsUWDPSvvXYkQKLiIjkW8NbRRDg48aR8wlMWFlAbyJYswu0GGd9vmEcbBhv33rsRIFFRETyLX9PV0a3qw7A1A1H2XaigF4ltm4vePQd6/PV78Cvn9m3HjtQYBERkXzt31UCaV+7FIYBr8/ZzY3kAtgaAmj4Cjz8hvX58jesx7UUIgosIiKS7w1rFUGgrxvHLiQw7qeD9i4n9zQaDPX7Wp8vfhn2zLVvPXlIgUVERPI9Pw8XxrSvAcCXvxxj67EC2hoymaDpSKjzDGDA/OfhwFJ7V5UnFFhERKRAaFwpgM51QjEMGDB3F9eTU+1dUu4wmaDFeKjxBBhpMOdp+GO1vavKdQosIiJSYAx5rArBfu6cuHid95cX4NaQ2Ww93bnK45CWDN91hROb7F1VrlJgERGRAsPX3YWxf7WGvt50nF+PXrRzRbnIyRnafwHlH4XUGzCzE/y5zd5V5Zq7CiyTJ08mLCwMd3d36tWrx9atWzMdm5KSwjvvvEO5cuVwd3cnMjKS5cuXpxszevRo7r//fnx8fAgICKBNmzYcPFiAk7GIiOSahyqW4Mm6pQFrayghqYC2hgCcXaHzdAh7EJKvwox2cHavvavKFdkOLLNnz6Z///4MHz6c7du3ExkZSVRUFLGxsRmOHzp0KJ9//jmTJk1i//79vPDCC7Rt25YdO3bYxqxfv54+ffrw66+/snLlSlJSUmjatCkJCQl3v2UiIlJoDWlZhZL+Hpy8dIMxPx6wdzm5y8UDnvwOStWFxCswvQ1cKHj3VzIZRvZuTFCvXj3uv/9+PvnkEwAsFguhoaG89NJLDBo06JbxISEhDBkyhD59+timtW/fHg8PD2bMmJHhOs6fP09AQADr16/noYceylJd8fHx+Pn5ERcXh6+vb3Y2SURECqBf/rhA1/9uAWDWc/VoUL64nSvKZTeuwLTH4Owe8AmBZ36EImH2ruqOsvr7na09LMnJyWzbto0mTZr8bwFmM02aNGHz5s0ZzpOUlIS7u3u6aR4eHmzcuDHT9cTFxQFQtGjRTMckJSURHx+f7iEiInJTw/LFeepfN1tDu7lWkFtDAB7+0G0hlKgMV0/DtMch/rS9q8ox2QosFy5cIC0tjcDAwHTTAwMDOXv2bIbzREVFMWHCBA4fPozFYmHlypXMnz+fM2fOZDjeYrHQr18/GjZsSLVq1TKtZfTo0fj5+dkeoaGh2dkUEREpBAY3r0KpIh6cunKDUcui7V1O7vMqbg0tRcrClRPwTWu4dt7eVeWIXD9L6KOPPqJChQpUrlwZV1dX+vbtS8+ePTGbM151nz592Lt3L999991tlzt48GDi4uJsj5MnT+ZG+SIiko95uTnzQYdIAGZtieHnQwXjx/u2fIOhx2LwLQUXDsH0tnA9/19IL1uBpXjx4jg5OXHu3Ll008+dO0dQUFCG85QoUYKFCxeSkJDAiRMnOHDgAN7e3oSHh98ytm/fvixZsoS1a9dSqlSp29bi5uaGr69vuoeIiMg/1S9XjKcbhAEwaN5u4hNT7FtQXvAvDd0XgVcAnNsDMztA0lV7V3VPshVYXF1due+++1i9+n9X1LNYLKxevZr69evfdl53d3dKlixJamoq8+bNo3Xr1rb3DMOgb9++LFiwgDVr1lC2bNlsboaIiEjmBjarRJlinpyOS+S9JYWgNQRQvLw1tHgUgVPbYFZnSL5u76ruWrZbQv3792fq1KlMmzaN6OhoevfuTUJCAj179gSge/fuDB482DZ+y5YtzJ8/n6NHj7JhwwaaNWuGxWJh4MCBtjF9+vRhxowZzJo1Cx8fH86ePcvZs2e5ceNGDmyiiIgUdp6u1taQyQSzfz/JuoMZX4qjwAmMgG4LwM0XTvwCs5+C1CR7V3VXsh1YOnfuzLhx4xg2bBg1a9Zk586dLF++3HYgbkxMTLoDahMTExk6dCgRERG0bduWkiVLsnHjRvz9/W1jpkyZQlxcHI0aNSI4ONj2mD179r1voYiICFC3bFF6NrDuwR80bw9xNwpBawggpBZ0nQMunnBkNcx9BtLy37Zn+zosjkrXYRERkTu5kZxGi483cOxCAh3uK8W4jpH2LinvHF1nvXx/WhJU7whtPwezk72ryp3rsIiIiORnHq5OfNChBiYTzN32J2sOnLvzTAVFeCPoNA3MzrBnDix5FfLRPgsFFhERKVTqhBXluQf+1hq6nv/aI3etUnNoNxVMZtg+DZYPzjehRYFFREQKndeaViK8hBexV5N4+4d99i4nb1VrB49bb6/Dlimw9j371pNFCiwiIlLouLs4Ma5jJGYTzN9xip/2ZXy19gKrVldoMc76/OcPYMME+9aTBQosIiJSKNUuXYTnHyoHwJsL9nI5IdnOFeWxur2gydvW56vfhi2f27eeO1BgERGRQqtfkwpUCPDmwrUkhi8uZK0hgAf6wcNvWJ//OBC2T7drObejwCIiIoXWzdaQk9nE4l2nWb434xvzFmiNBkP9vtbni1+CPXPtW08mFFhERKRQiwz154WHrfe3G7JgLxev5c8rwd41kwmajoT7egIGzH8eDiy1d1W3UGAREZFC7+V/V6BSoA8XE5IZVhhbQyYTtJwANZ4AIw3mPA1H1ti7qnQUWEREpNBzc/5fa2jp7jMs3V0IW0NmM7SeDFVaQVoyfNsFTmwCSxoc22BtFR3bYH1tB7o0v4iIyF8m/HSQj9f8QVEvV3569SGKe7vZu6S8l5oM33WBP1aCszu4+UDC+f+97xsCzcZCxOM5sjpdml9ERCSb+j5SgcpBPlxKSOathXspIP+mzx5nV+g8HUpUgdTE9GEFIP4MfN8d9i/O07IUWERERP7i6mxmfKdInM0mftx7lh8KY2sIwMkVEq9k8uZfIW75oDxtDymwiIiI/E3VED/6PlIegGGL9hJ7NdHOFdnBiU1w9XZhzYD4U9ZxeUSBRURE5B/6NC5PRLAvV66nMGRBIWwNXcviXayzOi4HKLCIiIj8g4uTtTXk4mRi5f5zLNp52t4l5S3vwJwdlwMUWERERDJQJdiXV/5dAYDhi/dxLr4QtYbKNLCeDYQpkwEm8C1pHZdHFFhEREQy8cLD5ahe0o+4Gym8OX9P4WkNmZ2spy4Dt4aWv143G2Mdl1cl5dmaRERE8hnnv1pDrk5mVh+IZd72U/YuKe9EPA6dvgHf4PTTfUOs03PoOixZpQvHiYiI3MGn6/7g/eUH8XF3ZuWrDxPk527vkvKOJc16NtC1c9ZjVso0yNE9K7pwnIiISA55/sFwIkP9uZqYyqD5uwtPawis4aTsg1C9g/XPPGwDpSvDLmsVERHJR5ydzIzvWANXZzPrDp5nzu9/2rukQkeBRUREJAvKB/jw2qMVAXh3yX5OX7lh54oKFwUWERGRLHruwXBqlfbnalIqb8wrZK0hO1NgERERySIns4lxHSNxczaz4fAFvvvtpL1LKjQUWERERLKhXAlvBkRVAmDkkv38efm6nSsqHBRYREREsqlnw7LcH1aEhOQ0Bs7djcWi1lBuU2ARERHJJieziQ86ROLuYmbTkYvM3Bpj75IKPAUWERGRuxBW3Is3mlUGYPSyaE5eUmsoNymwiIiI3KUe9cOoW7Yo15PTGDB3l1pDuUiBRURE5C6ZzSbGdYjE09WJX49eYvqvJ+xdUoGlwCIiInIPShfzZFBza2tozI8HOHExwc4VFUwKLCIiIvfoqXplqB9ejBspaQyYo7OGcoMCi4iIyD0ym02836EGXq5ObD1+ia83Hbd3SQWOAouIiEgOCC3qyZstqwDw/ooDHD1/zc4VFSwKLCIiIjmkS93SPFC+OIkpFgbM3U2aWkM5RoFFREQkh5hMJsa0r463mzPbTlzmy43H7F1SgaHAIiIikoNKFfFk6F+toXE/HeSPWLWGcoICi4iISA7rfH8oD1UsQVKqhdfn7FJrKAcosIiIiOQwk8nE2PbV8XF3ZufJK0zdcNTeJeV7CiwiIiK5INjPg7ceiwBgwk+HOHzuqp0ryt8UWERERHJJx/tK0bhSCZLTrK2h1DSLvUvKt+4qsEyePJmwsDDc3d2pV68eW7duzXRsSkoK77zzDuXKlcPd3Z3IyEiWL19+T8sUERHJD0wmE6Pb1cDX3Zldf8bx+c9qDd2tbAeW2bNn079/f4YPH8727duJjIwkKiqK2NjYDMcPHTqUzz//nEmTJrF//35eeOEF2rZty44dO+56mSIiIvlFkJ87Ix6vCsCHqw5x4Gy8nSvKn0yGYWTr0OV69epx//3388knnwBgsVgIDQ3lpZdeYtCgQbeMDwkJYciQIfTp08c2rX379nh4eDBjxoy7WmZG4uPj8fPzIy4uDl9f3+xskoiISK4yDINe3/zOquhYqpX0ZcGLDXFx0lEZkPXf72x9WsnJyWzbto0mTZr8bwFmM02aNGHz5s0ZzpOUlIS7u3u6aR4eHmzcuPGul3lzufHx8ekeIiIijshkMjGqbXX8PFzYeyqeKeuO2LukfCdbgeXChQukpaURGBiYbnpgYCBnz57NcJ6oqCgmTJjA4cOHsVgsrFy5kvnz53PmzJm7XibA6NGj8fPzsz1CQ0OzsykiIiJ5KsDXnXdaW1tDk9YcZv9p/UM7O3J9f9RHH31EhQoVqFy5Mq6urvTt25eePXtiNt/bqgcPHkxcXJztcfLkyRyqWEREJHc8HhlCVNVAUtIMXp+zi+RUnTWUVdlKDcWLF8fJyYlz586lm37u3DmCgoIynKdEiRIsXLiQhIQETpw4wYEDB/D29iY8PPyulwng5uaGr69vuoeIiIgjM5lMjGxTnSKeLuw/E8/ktX/Yu6R8I1uBxdXVlfvuu4/Vq1fbplksFlavXk39+vVvO6+7uzslS5YkNTWVefPm0bp163tepoiISH5TwseNd1pXA2Dy2j/YeyrOzhXlD9nuy/Tv35+pU6cybdo0oqOj6d27NwkJCfTs2ROA7t27M3jwYNv4LVu2MH/+fI4ePcqGDRto1qwZFouFgQMHZnmZIiIiBcljNYJpUT2IVItaQ1nlnN0ZOnfuzPnz5xk2bBhnz56lZs2aLF++3HbQbExMTLrjUxITExk6dChHjx7F29ubFi1aMH36dPz9/bO8TBERkYLEZDLxbutqbDl6iQNnrzJpzWFea1rJ3mU5tGxfh8VR6TosIiKS3/y45wy9Z27HyWxiwYsNqFHK394l5blcuQ6LiIiI5Jzm1YN5rEYwaRaD177fRVJqmr1LclgKLCIiInb0TutqFPd25XDsNT5cddje5TgsBRYRERE7Kurlysg21QH4fP0Rdp68Yt+CHJQCi4iIiJ01qxZEm5ohWAx47fudJKaoNfRPCiwiIiIOYMTjVSnh48aR8wlMXHnI3uU4HAUWERERB+Dv6cqottbW0P9tOMq2E5ftXJFjUWARERFxEI9GBNKudkkMAwbM2aXW0N8osIiIiDiQ4Y9VJdDXjaMXEhi34qC9y3EYCiwiIiIOxM/ThTHtagDwxS/H+O34JTtX5BgUWERERBxM48oBdLyvlK01dD051d4l2Z0Ci4iIiAMa+lgEwX7uHL94nfeXqzWkwCIiIuKA/DxcGNPe2hr6etNxfj160c4V2ZcCi4iIiIN6uGIJnqwbCsDAubtJSCq8rSEFFhEREQf2ZosqlPT3IObSdcYuP2DvcuxGgUVERMSB+bi7MPav1tA3m0+w6Y8Ldq7IPhRYREREHNwDFYrTtV5pAAbO2821QtgaUmARERHJBwa3qEKpIh78efkGo5dF27ucPKfAIiIikg94uznzfgdra2jmlhg2HD5v54rylgKLiIhIPtGgXHG61y8DwBtzd3M1McXOFeUdBRYREZF85I1mlSld1JPTcYm8t7TwtIYUWERERPIRLzdnPvirNfTdbydZf6hwtIYUWERERPKZeuHF6NkwDLC2huJuFPzWkAKLiIhIPjQwqjJhxTw5G5/IyCX77V1OrlNgERERyYc8XJ34oGMkJhPM2fYnaw6cs3dJuUqBRUREJJ+6P6wozzYsC8Dg+XuIu15wW0MKLCIiIvnY61GVCC/uxbn4JN5ess/e5eQaBRYREZF8zN3FiXGdIjGbYP72U6zcXzBbQwosIiIi+Vzt0kXo9WA4AG8u2MOV68l2rijnKbCIiIgUAK8+WpFyJbw4fzWJEYsLXmtIgUVERKQAcHdxYnynmphNsHDnaZbvPWvvknKUAouIiEgBUTPUnxceLgfA0IV7uJRQcFpDCiwiIiIFyCtNKlAx0JsL15IZtmivvcvJMQosIiIiBYibsxPjOkbiZDaxZPcZlu05Y++ScoQCi4iISAFTo5Q/Lza62Rray4VrSXau6N4psIiIiBRALz1SgcpBPlxKSOathXsxDMPeJd0TBRYREZECyNXZzLiOkTibTfy49yxLdufv1pACi4iISAFVraQffRqXB2DYor2cv5p/W0MKLCIiIgVYn8bliQj25fL1FIYu3JNvW0MKLCIiIgXYzdaQi5OJFfvOsXjXaXuXdFcUWERERAq4iBBfXn6kAgDDFu0jNj7RzhVlnwKLiIhIIfBCo3JUK+lL3I0U3lyQ/1pDCiwiIiKFgIuTmfEda+LiZGJVdCzzt5+yd0nZosAiIiJSSFQK8qFfk4oAvP3DPs7G5Z/W0F0FlsmTJxMWFoa7uzv16tVj69attx3/4YcfUqlSJTw8PAgNDeXVV18lMfF/H1JaWhpvvfUWZcuWxcPDg3LlyvHuu+/mu91VIiIiju4/D4UTWcqP+MRUBs/fnW9+a7MdWGbPnk3//v0ZPnw427dvJzIykqioKGJjYzMcP2vWLAYNGsTw4cOJjo7miy++YPbs2bz55pu2MWPHjmXKlCl88sknREdHM3bsWN5//30mTZp091smIiIit3B2sp415OpkZu3B88zZ9qe9S8qSbAeWCRMm0KtXL3r27ElERASfffYZnp6efPnllxmO37RpEw0bNqRLly6EhYXRtGlTnnzyyXR7ZTZt2kTr1q1p2bIlYWFhdOjQgaZNm95xz42IiIhkX4VAH/o3tbaG3v1hP6ev3LBzRXeWrcCSnJzMtm3baNKkyf8WYDbTpEkTNm/enOE8DRo0YNu2bbbwcfToUZYtW0aLFi3SjVm9ejWHDh0CYNeuXWzcuJHmzZtnWktSUhLx8fHpHiIiIpI1vR4Mp1Zpf64mpTJovuOfNeScncEXLlwgLS2NwMDAdNMDAwM5cOBAhvN06dKFCxcu8MADD2AYBqmpqbzwwgvpWkKDBg0iPj6eypUr4+TkRFpaGu+99x5du3bNtJbRo0fz9ttvZ6d8ERER+YuT2cS4jpG0+GgDPx86z+zfTvJE3dL2LitTuX6W0Lp16xg1ahSffvop27dvZ/78+SxdupR3333XNub7779n5syZzJo1i+3btzNt2jTGjRvHtGnTMl3u4MGDiYuLsz1OnjyZ25siIiJSoJQr4c2AqEoAjFwazZ+Xr9u5osxlaw9L8eLFcXJy4ty5c+mmnzt3jqCgoAzneeutt+jWrRvPPfccANWrVychIYHnn3+eIUOGYDabGTBgAIMGDeKJJ56wjTlx4gSjR4+mR48eGS7Xzc0NNze37JQvIiIi/9CzYVmW7z3L7ycu88a83cx4th4mk8neZd0iW3tYXF1due+++1i9erVtmsViYfXq1dSvXz/Dea5fv47ZnH41Tk5OALZ+WWZjLBZLdsoTERGRbHIym3i/Qw3cXcz88sdFZm6JsXdJGcp2S6h///5MnTqVadOmER0dTe/evUlISKBnz54AdO/encGDB9vGt2rViilTpvDdd99x7NgxVq5cyVtvvUWrVq1swaVVq1a89957LF26lOPHj7NgwQImTJhA27Ztc2gzRUREJDPhJbwZGFUZgFHLojl5yfFaQ9lqCQF07tyZ8+fPM2zYMM6ePUvNmjVZvny57UDcmJiYdHtLhg4dislkYujQoZw6dYoSJUrYAspNkyZN4q233uLFF18kNjaWkJAQ/vOf/zBs2LAc2EQRERG5k6cbhLF871m2Hr/EwLm7mflcPcxmx2kNmQxHP48pi+Lj4/Hz8yMuLg5fX197lyMiIpLvnLiYQLMPN3AjJY13Wlele/2wXF9nVn+/dS8hERERAaBMMS8GNbe2hkYvO8CJiwl2ruh/FFhERETEptu/yvCv8KLcSEljwNzdWCyO0YhRYBEREREbs9nEBx0i8XR1YuuxS3y16Ribj1xk0c5TbD5ykTQ7BRgdwyIiIiK3mP7rCd5auPeW6cF+7gxvFUGzasE5sh4dwyIiIiJ3rZina4bTz8Yl0nvGdpbvPZOn9SiwiIiISDppFoN3l+7P8L2bbZm3f9ifp+0hBRYRERFJZ+uxS5yJS8z0fQM4E5fI1mOX8qwmBRYRERFJJ/Zq5mHlbsblBAUWERERSSfAxz1Hx+UEBRYRERFJp27ZogT7uZPZhflNWM8Wqlu2aJ7VpMAiIiIi6TiZTQxvFQFwS2i5+Xp4qwic8vBeQwosIiIicotm1YKZ8lRtgvzSt32C/NyZ8lTtHLsOS1Zl+27NIiIiUjg0qxbMoxFBbD12idiriQT4WNtAebln5SYFFhEREcmUk9lE/XLF7F2GWkIiIiLi+BRYRERExOEpsIiIiIjDU2ARERERh6fAIiIiIg5PgUVEREQcngKLiIiIODwFFhEREXF4CiwiIiLi8ArMlW4NwwAgPj7ezpWIiIhIVt383b75O56ZAhNYrl69CkBoaKidKxEREZHsunr1Kn5+fpm+bzLuFGnyCYvFwunTp/Hx8cFkyrmbMsXHxxMaGsrJkyfx9fXNseU6koK+jdq+/K+gb6O2L/8r6NuYm9tnGAZXr14lJCQEsznzI1UKzB4Ws9lMqVKlcm35vr6+BfJ/wr8r6Nuo7cv/Cvo2avvyv4K+jbm1fbfbs3KTDroVERERh6fAIiIiIg5PgeUO3NzcGD58OG5ubvYuJdcU9G3U9uV/BX0btX35X0HfRkfYvgJz0K2IiIgUXNrDIiIiIg5PgUVEREQcngKLiIiIODwFFhEREXF4hSKw/Pzzz7Rq1YqQkBBMJhMLFy687fh169ZhMplueZw9e/a287Ru3Zrg4GC8vLyoWbMmM2fOzOEtEcm/svs9BEhKSmLIkCGUKVMGNzc3wsLC+PLLL287T0xMDC1btsTT05OAgAAGDBhAampqDm2FSP41evRo7r//fnx8fAgICKBNmzYcPHjwjvPNmTOHypUr4+7uTvXq1Vm2bNkd51m3bh21a9fGzc2N8uXL8/XXX99z/YUisCQkJBAZGcnkyZOzNd/Bgwc5c+aM7REQEJDp2E2bNlGjRg3mzZvH7t276dmzJ927d2fJkiX3Wr5IgXA338NOnTqxevVqvvjiCw4ePMi3335LpUqVMh2flpZGy5YtSU5OZtOmTUybNo2vv/6aYcOG5cQmiORr69evp0+fPvz666+sXLmSlJQUmjZtSkJCQqbzbNq0iSeffJJnn32WHTt20KZNG9q0acPevXsznefYsWO0bNmSxo0bs3PnTvr168dzzz3HihUr7m0DjEIGMBYsWHDbMWvXrjUA4/Lly/e0rhYtWhg9e/a8p2WIFERZ+R7++OOPhp+fn3Hx4sUsL3fZsmWG2Ww2zp49a5s2ZcoUw9fX10hKSrrbckUKpNjYWAMw1q9fn+mYTp06GS1btkw3rV69esZ//vOfTOcZOHCgUbVq1XTTOnfubERFRd1TvYViD8vdqlmzJsHBwTz66KP88ssv2Z4/Li6OokWL5kJlIgXf4sWLqVOnDu+//z4lS5akYsWKvP7669y4cSPTeTZv3kz16tUJDAy0TYuKiiI+Pp59+/blRdki+UZcXBzAbX+nNm/eTJMmTdJNi4qKYvPmzTk6T1YUmJsf5qTg4GA+++wz6tSpQ1JSEv/9739p1KgRW7ZsoXbt2llaxvfff89vv/3G559/nsvVihRMR48eZePGjbi7u7NgwQIuXLjAiy++yMWLF/nqq68ynOfs2bPpwgpge327Y9BEChuLxUK/fv1o2LAh1apVy3RcZt+p232fMpsnPj6eGzdu4OHhcVc1K7BkoFKlSun65A0aNODIkSNMnDiR6dOn33H+tWvX0rNnT6ZOnUrVqlVzs1SRAstisWAymZg5c6btTq4TJkygQ4cOfPrpp3f9l56IQJ8+fdi7dy8bN260dylZppZQFtWtW5c//vjjjuPWr19Pq1atmDhxIt27d8+DykQKpuDgYEqWLJnutvNVqlTBMAz+/PPPDOcJCgri3Llz6abdfB0UFJR7xYrkI3379mXJkiWsXbuWUqVK3XZsZt+p232fMpvH19f3nv6hocCSRTt37iQ4OPi2Y9atW0fLli0ZO3Yszz//fB5VJlIwNWzYkNOnT3Pt2jXbtEOHDmE2mzP9S7Z+/frs2bOH2NhY27SVK1fi6+tLRERErtcs4sgMw6Bv374sWLCANWvWULZs2TvOU79+fVavXp1u2sqVK6lfv36OzpMl93TIbj5x9epVY8eOHcaOHTsMwJgwYYKxY8cO48SJE4ZhGMagQYOMbt262cZPnDjRWLhwoXH48GFjz549xiuvvGKYzWZj1apVtjGTJk0yHnnkEdvrNWvWGJ6ensbgwYONM2fO2B7ZOcNBpCDL7vfw6tWrRqlSpYwOHToY+/btM9avX29UqFDBeO6552xj5s+fb1SqVMn2OjU11ahWrZrRtGlTY+fOncby5cuNEiVKGIMHD867DRVxUL179zb8/PyMdevWpfudun79um1Mt27djEGDBtle//LLL4azs7Mxbtw4Izo62hg+fLjh4uJi7Nmzxzbmn9/do0ePGp6ensaAAQOM6OhoY/LkyYaTk5OxfPnye6q/UASWm6cp//PRo0cPwzAMo0ePHsbDDz9sGz927FijXLlyhru7u1G0aFGjUaNGxpo1a9Itc/jw4UaZMmVsr3v06JHhOv6+XJHCLLvfQ8MwjOjoaKNJkyaGh4eHUapUKaN///7p/nL96quvjH/+u+v48eNG8+bNDQ8PD6N48eLGa6+9ZqSkpOT25ok4vIy+f4Dx1Vdf2cY8/PDDtu/kTd9//71RsWJFw9XV1ahataqxdOnSdO9n9N1du3atUbNmTcPV1dUIDw9Pt467ZfprI0REREQclo5hEREREYenwCIiIiIOT4FFREREHJ4Ci4iIiDg8BRYRERFxeAosIiIi4vAUWERERMThKbCISKETFhbGhx9+aO8yRCQbdOE4EcmSdevW0bhxYy5fvoy/v7+9y7kn58+fx8vLC09PT3uXIiJZ5GzvAkREclJycjKurq63HVOiRIk8qkZEcopaQiJik5SUxMsvv0xAQADu7u488MAD/Pbbbxw/fpzGjRsDUKRIEUwmE08//TTnz58nKCiIUaNG2ZaxadMmXF1db7lb6z8dOnQIk8nEgQMH0k2fOHEi5cqVs73eu3cvzZs3x9vbm8DAQLp168aFCxds7zdq1Ii+ffvSr18/ihcvTlRUFIZhMGLECEqXLo2bmxshISG8/PLLtnn+2RKKiYmhdevWeHt74+vrS6dOnTh37pzt/REjRlCzZk2mT59OWFgYfn5+PPHEE1y9ejV7H7CI3DUFFhGxGThwIPPmzWPatGls376d8uXLExUVhY+PD/PmzQPg4MGDnDlzho8++ogSJUrw5ZdfMmLECH7//XeuXr1Kt27d6Nu3L//+979vu66KFStSp04dZs6cmW76zJkz6dKlCwBXrlzhkUceoVatWvz+++8sX76cc+fO0alTp3TzTJs2DVdXV3755Rc+++wz5s2bx8SJE/n88885fPgwCxcupHr16hnWYbFYaN26NZcuXWL9+vWsXLmSo0eP0rlz53Tjjhw5wsKFC1myZAlLlixh/fr1jBkzJlufr4jcg3u+faKIFAjXrl0zXFxcjJkzZ9qmJScnGyEhIcb7779vu9vy5cuXb5n3xRdfNCpWrGh06dLFqF69upGYmJildU6cONEoV66c7fXBgwcNwIiOjjYMwzDeffddo2nTpunmOXnypAEYBw8eNAzDenfZWrVqpRszfvx4o2LFikZycnKG6y1TpowxceJEwzAM46effjKcnJyMmJgY2/v79u0zAGPr1q2GYVjvzu7p6WnEx8fbxgwYMMCoV69elrZTRO6d9rCICGDdg5CSkkLDhg1t01xcXKhbty7R0dG3nXfcuHGkpqYyZ84cZs6ciZubW5bW+cQTT3D8+HF+/fVXwLp3pXbt2lSuXBmAXbt2sXbtWry9vW2Pm+8dOXLEtpz77rsv3XI7duzIjRs3CA8Pp1evXixYsIDU1NQMa4iOjiY0NJTQ0FDbtIiICPz9/dNtd1hYGD4+PrbXwcHBxMbGZmk7ReTeKbCIyD07cuQIp0+fxmKxcPz48SzPFxQUxCOPPMKsWbMAmDVrFl27drW9f+3aNVq1asXOnTvTPQ4fPsxDDz1kG+fl5ZVuuaGhoRw8eJBPP/0UDw8PXnzxRR566CFSUlLuehtdXFzSvTaZTFgslrtenohkjwKLiABQrlw523EgN6WkpPDbb78RERFhO/MmLS0t3XzJyck89dRTdO7cmXfffZfnnnsuW3seunbtyuzZs9m8eTNHjx7liSeesL1Xu3Zt9u3bR1hYGOXLl0/3+GdI+ScPDw9atWrFxx9/zLp169i8eTN79uy5ZVyVKlU4efIkJ0+etE3bv38/V65cISIiIsvbISK5S4FFRADrXorevXszYMAAli9fzv79++nVqxfXr1/n2WefpUyZMphMJpYsWcL58+e5du0aAEOGDCEuLo6PP/6YN954g4oVK/LMM89keb3t2rXj6tWr9O7dm8aNGxMSEmJ7r0+fPly6dIknn3yS3377jSNHjrBixQp69ux5S3D6u6+//povvviCvXv3cvToUWbMmIGHhwdlypS5ZWyTJk2oXr06Xbt2Zfv27WzdupXu3bvz8MMPU6dOnWx8giKSmxRYRMRmzJgxtG/fnm7dulG7dm3++OMPVqxYQZEiRShZsiRvv/02gwYNIjAwkL59+7Ju3To+/PBDpk+fjq+vL2azmenTp7NhwwamTJmSpXX6+PjQqlUrdu3ala4dBBASEsIvv/xCWloaTZs2pXr16vTr1w9/f3/M5sz/+vL392fq1Kk0bNiQGjVqsGrVKn744QeKFSt2y1iTycSiRYsoUqQIDz30EE2aNCE8PJzZs2dn78MTkVylK92KiIiIw9MeFhEREXF4CiwikmuqVq2a7pTkvz/+ecE4EZHbUUtIRHLNiRMnMj2VODAwMN11TUREbkeBRURERByeWkIiIiLi8BRYRERExOEpsIiIiIjDU2ARERERh6fAIiIiIg5PgUVEREQcngKLiIiIODwFFhEREXF4/w9ryiATKjT4+gAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "task = \"anomaly\"\n",
+    "task = \"anomaly_classification\"\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "summary.summarize_graph(history, task)\n",
+    "summary.summarize_graph_geti(history, task)"
    ]
   },
   {
@@ -474,401 +62,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">large</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"9\" valign=\"top\">anomaly_detection</th>\n",
-       "      <th rowspan=\"3\" valign=\"top\">all</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.998144</td>\n",
-       "      <td>0.001081</td>\n",
-       "      <td>43.222222</td>\n",
-       "      <td>30.576997</td>\n",
-       "      <td>0.999100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>56.200000</td>\n",
-       "      <td>38.823819</td>\n",
-       "      <td>0.998440</td>\n",
-       "      <td>0.000548</td>\n",
-       "      <td>44.900000</td>\n",
-       "      <td>29.422025</td>\n",
-       "      <td>0.996893</td>\n",
-       "      <td>0.000782</td>\n",
-       "      <td>28.566667</td>\n",
-       "      <td>14.517805</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.997954</td>\n",
-       "      <td>0.001046</td>\n",
-       "      <td>40.700000</td>\n",
-       "      <td>26.107404</td>\n",
-       "      <td>0.998920</td>\n",
-       "      <td>0.000379</td>\n",
-       "      <td>48.600000</td>\n",
-       "      <td>30.995340</td>\n",
-       "      <td>0.998050</td>\n",
-       "      <td>0.000685</td>\n",
-       "      <td>44.500000</td>\n",
-       "      <td>27.933453</td>\n",
-       "      <td>0.996893</td>\n",
-       "      <td>0.000782</td>\n",
-       "      <td>29.000000</td>\n",
-       "      <td>14.757296</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.913502</td>\n",
-       "      <td>0.063868</td>\n",
-       "      <td>112.356773</td>\n",
-       "      <td>104.549686</td>\n",
-       "      <td>0.914089</td>\n",
-       "      <td>0.077344</td>\n",
-       "      <td>169.582544</td>\n",
-       "      <td>139.186390</td>\n",
-       "      <td>0.969725</td>\n",
-       "      <td>0.006967</td>\n",
-       "      <td>105.218492</td>\n",
-       "      <td>85.633952</td>\n",
-       "      <td>0.856690</td>\n",
-       "      <td>0.003770</td>\n",
-       "      <td>62.269283</td>\n",
-       "      <td>45.079236</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">padim</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.998300</td>\n",
-       "      <td>0.000894</td>\n",
-       "      <td>17.066667</td>\n",
-       "      <td>1.968804</td>\n",
-       "      <td>0.999100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>19.400000</td>\n",
-       "      <td>0.547723</td>\n",
-       "      <td>0.998700</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>17.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.997100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>14.800000</td>\n",
-       "      <td>0.182574</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.998300</td>\n",
-       "      <td>0.000894</td>\n",
-       "      <td>17.400000</td>\n",
-       "      <td>1.843909</td>\n",
-       "      <td>0.999100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>19.200000</td>\n",
-       "      <td>0.447214</td>\n",
-       "      <td>0.998700</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>18.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.997100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>15.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.888107</td>\n",
-       "      <td>0.058972</td>\n",
-       "      <td>30.630955</td>\n",
-       "      <td>9.070998</td>\n",
-       "      <td>0.841067</td>\n",
-       "      <td>0.006524</td>\n",
-       "      <td>41.674825</td>\n",
-       "      <td>0.369678</td>\n",
-       "      <td>0.968081</td>\n",
-       "      <td>0.003585</td>\n",
-       "      <td>29.965124</td>\n",
-       "      <td>0.446023</td>\n",
-       "      <td>0.855172</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>20.252915</td>\n",
-       "      <td>0.110767</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">stfpm</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.997989</td>\n",
-       "      <td>0.001252</td>\n",
-       "      <td>69.377778</td>\n",
-       "      <td>21.606828</td>\n",
-       "      <td>0.999100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>93.000000</td>\n",
-       "      <td>2.345208</td>\n",
-       "      <td>0.998180</td>\n",
-       "      <td>0.000712</td>\n",
-       "      <td>72.800000</td>\n",
-       "      <td>1.303840</td>\n",
-       "      <td>0.996687</td>\n",
-       "      <td>0.001127</td>\n",
-       "      <td>42.333333</td>\n",
-       "      <td>0.623610</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.997609</td>\n",
-       "      <td>0.001099</td>\n",
-       "      <td>64.000000</td>\n",
-       "      <td>15.657039</td>\n",
-       "      <td>0.998740</td>\n",
-       "      <td>0.000493</td>\n",
-       "      <td>78.000000</td>\n",
-       "      <td>0.707107</td>\n",
-       "      <td>0.997400</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>71.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.996687</td>\n",
-       "      <td>0.001127</td>\n",
-       "      <td>43.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.938897</td>\n",
-       "      <td>0.059916</td>\n",
-       "      <td>194.082591</td>\n",
-       "      <td>90.815049</td>\n",
-       "      <td>0.987112</td>\n",
-       "      <td>0.009290</td>\n",
-       "      <td>297.490263</td>\n",
-       "      <td>51.844162</td>\n",
-       "      <td>0.971370</td>\n",
-       "      <td>0.009466</td>\n",
-       "      <td>180.471860</td>\n",
-       "      <td>48.391822</td>\n",
-       "      <td>0.858208</td>\n",
-       "      <td>0.005120</td>\n",
-       "      <td>104.285651</td>\n",
-       "      <td>12.603935</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                    all                           \\\n",
-       "metric                              test/f1-score           train/e2e_time   \n",
-       "stat                                         mean       std           mean   \n",
-       "task              model otx_version                                          \n",
-       "anomaly_detection all   1.5.2            0.998144  0.001081      43.222222   \n",
-       "                        1.6.0            0.997954  0.001046      40.700000   \n",
-       "                        2.0.0            0.913502  0.063868     112.356773   \n",
-       "                  padim 1.5.2            0.998300  0.000894      17.066667   \n",
-       "                        1.6.0            0.998300  0.000894      17.400000   \n",
-       "                        2.0.0            0.888107  0.058972      30.630955   \n",
-       "                  stfpm 1.5.2            0.997989  0.001252      69.377778   \n",
-       "                        1.6.0            0.997609  0.001099      64.000000   \n",
-       "                        2.0.0            0.938897  0.059916     194.082591   \n",
-       "\n",
-       "data_group                                              large            \\\n",
-       "metric                                          test/f1-score             \n",
-       "stat                                        std          mean       std   \n",
-       "task              model otx_version                                       \n",
-       "anomaly_detection all   1.5.2         30.576997      0.999100  0.000000   \n",
-       "                        1.6.0         26.107404      0.998920  0.000379   \n",
-       "                        2.0.0        104.549686      0.914089  0.077344   \n",
-       "                  padim 1.5.2          1.968804      0.999100  0.000000   \n",
-       "                        1.6.0          1.843909      0.999100  0.000000   \n",
-       "                        2.0.0          9.070998      0.841067  0.006524   \n",
-       "                  stfpm 1.5.2         21.606828      0.999100  0.000000   \n",
-       "                        1.6.0         15.657039      0.998740  0.000493   \n",
-       "                        2.0.0         90.815049      0.987112  0.009290   \n",
-       "\n",
-       "data_group                                                            medium  \\\n",
-       "metric                              train/e2e_time             test/f1-score   \n",
-       "stat                                          mean         std          mean   \n",
-       "task              model otx_version                                            \n",
-       "anomaly_detection all   1.5.2            56.200000   38.823819      0.998440   \n",
-       "                        1.6.0            48.600000   30.995340      0.998050   \n",
-       "                        2.0.0           169.582544  139.186390      0.969725   \n",
-       "                  padim 1.5.2            19.400000    0.547723      0.998700   \n",
-       "                        1.6.0            19.200000    0.447214      0.998700   \n",
-       "                        2.0.0            41.674825    0.369678      0.968081   \n",
-       "                  stfpm 1.5.2            93.000000    2.345208      0.998180   \n",
-       "                        1.6.0            78.000000    0.707107      0.997400   \n",
-       "                        2.0.0           297.490263   51.844162      0.971370   \n",
-       "\n",
-       "data_group                                                               \\\n",
-       "metric                                        train/e2e_time              \n",
-       "stat                                      std           mean        std   \n",
-       "task              model otx_version                                       \n",
-       "anomaly_detection all   1.5.2        0.000548      44.900000  29.422025   \n",
-       "                        1.6.0        0.000685      44.500000  27.933453   \n",
-       "                        2.0.0        0.006967     105.218492  85.633952   \n",
-       "                  padim 1.5.2        0.000000      17.000000   0.000000   \n",
-       "                        1.6.0        0.000000      18.000000   0.000000   \n",
-       "                        2.0.0        0.003585      29.965124   0.446023   \n",
-       "                  stfpm 1.5.2        0.000712      72.800000   1.303840   \n",
-       "                        1.6.0        0.000000      71.000000   0.000000   \n",
-       "                        2.0.0        0.009466     180.471860  48.391822   \n",
-       "\n",
-       "data_group                                  small                           \\\n",
-       "metric                              test/f1-score           train/e2e_time   \n",
-       "stat                                         mean       std           mean   \n",
-       "task              model otx_version                                          \n",
-       "anomaly_detection all   1.5.2            0.996893  0.000782      28.566667   \n",
-       "                        1.6.0            0.996893  0.000782      29.000000   \n",
-       "                        2.0.0            0.856690  0.003770      62.269283   \n",
-       "                  padim 1.5.2            0.997100  0.000000      14.800000   \n",
-       "                        1.6.0            0.997100  0.000000      15.000000   \n",
-       "                        2.0.0            0.855172  0.000000      20.252915   \n",
-       "                  stfpm 1.5.2            0.996687  0.001127      42.333333   \n",
-       "                        1.6.0            0.996687  0.001127      43.000000   \n",
-       "                        2.0.0            0.858208  0.005120     104.285651   \n",
-       "\n",
-       "data_group                                      \n",
-       "metric                                          \n",
-       "stat                                       std  \n",
-       "task              model otx_version             \n",
-       "anomaly_detection all   1.5.2        14.517805  \n",
-       "                        1.6.0        14.757296  \n",
-       "                        2.0.0        45.079236  \n",
-       "                  padim 1.5.2         0.182574  \n",
-       "                        1.6.0         0.000000  \n",
-       "                        2.0.0         0.110767  \n",
-       "                  stfpm 1.5.2         0.623610  \n",
-       "                        1.6.0         0.000000  \n",
-       "                        2.0.0        12.603935  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/f1-score'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"anomaly_detection\"\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
    ]
   },
   {
@@ -880,1195 +81,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">large</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"9\" valign=\"top\">anomaly_segmentation</th>\n",
-       "      <th rowspan=\"3\" valign=\"top\">all</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.997917</td>\n",
-       "      <td>0.001437</td>\n",
-       "      <td>53.977778</td>\n",
-       "      <td>42.823431</td>\n",
-       "      <td>0.999010</td>\n",
-       "      <td>0.000285</td>\n",
-       "      <td>74.400000</td>\n",
-       "      <td>54.391993</td>\n",
-       "      <td>0.998440</td>\n",
-       "      <td>0.000548</td>\n",
-       "      <td>56.300000</td>\n",
-       "      <td>40.169225</td>\n",
-       "      <td>0.996300</td>\n",
-       "      <td>0.001317</td>\n",
-       "      <td>31.233333</td>\n",
-       "      <td>17.111869</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.998202</td>\n",
-       "      <td>0.000884</td>\n",
-       "      <td>49.700000</td>\n",
-       "      <td>35.343780</td>\n",
-       "      <td>0.999100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>60.700000</td>\n",
-       "      <td>41.849067</td>\n",
-       "      <td>0.998310</td>\n",
-       "      <td>0.000628</td>\n",
-       "      <td>55.400000</td>\n",
-       "      <td>38.370127</td>\n",
-       "      <td>0.997197</td>\n",
-       "      <td>0.000306</td>\n",
-       "      <td>33.000000</td>\n",
-       "      <td>17.919573</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.414847</td>\n",
-       "      <td>0.213423</td>\n",
-       "      <td>81.074584</td>\n",
-       "      <td>70.805039</td>\n",
-       "      <td>0.592292</td>\n",
-       "      <td>0.033424</td>\n",
-       "      <td>123.875078</td>\n",
-       "      <td>96.131012</td>\n",
-       "      <td>0.526033</td>\n",
-       "      <td>0.064923</td>\n",
-       "      <td>70.363961</td>\n",
-       "      <td>50.477575</td>\n",
-       "      <td>0.126217</td>\n",
-       "      <td>0.012360</td>\n",
-       "      <td>48.984713</td>\n",
-       "      <td>32.525622</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">padim</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.998153</td>\n",
-       "      <td>0.000882</td>\n",
-       "      <td>18.666667</td>\n",
-       "      <td>3.330952</td>\n",
-       "      <td>0.998920</td>\n",
-       "      <td>0.000402</td>\n",
-       "      <td>22.800000</td>\n",
-       "      <td>0.447214</td>\n",
-       "      <td>0.998440</td>\n",
-       "      <td>0.000581</td>\n",
-       "      <td>18.200000</td>\n",
-       "      <td>0.447214</td>\n",
-       "      <td>0.997100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>15.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.998300</td>\n",
-       "      <td>0.000894</td>\n",
-       "      <td>18.666667</td>\n",
-       "      <td>2.126925</td>\n",
-       "      <td>0.999100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>21.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.998700</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>19.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.997100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>16.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.383594</td>\n",
-       "      <td>0.197558</td>\n",
-       "      <td>26.764538</td>\n",
-       "      <td>7.144055</td>\n",
-       "      <td>0.563205</td>\n",
-       "      <td>0.015180</td>\n",
-       "      <td>35.534114</td>\n",
-       "      <td>0.208662</td>\n",
-       "      <td>0.466965</td>\n",
-       "      <td>0.026274</td>\n",
-       "      <td>26.087811</td>\n",
-       "      <td>0.117477</td>\n",
-       "      <td>0.120611</td>\n",
-       "      <td>0.014777</td>\n",
-       "      <td>18.671688</td>\n",
-       "      <td>0.044120</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">stfpm</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.997680</td>\n",
-       "      <td>0.001838</td>\n",
-       "      <td>89.288889</td>\n",
-       "      <td>33.402278</td>\n",
-       "      <td>0.999100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>126.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.998440</td>\n",
-       "      <td>0.000581</td>\n",
-       "      <td>94.400000</td>\n",
-       "      <td>1.140175</td>\n",
-       "      <td>0.995500</td>\n",
-       "      <td>0.001517</td>\n",
-       "      <td>47.466667</td>\n",
-       "      <td>0.182574</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.998104</td>\n",
-       "      <td>0.000894</td>\n",
-       "      <td>80.733333</td>\n",
-       "      <td>22.789304</td>\n",
-       "      <td>0.999100</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>100.400000</td>\n",
-       "      <td>0.547723</td>\n",
-       "      <td>0.997920</td>\n",
-       "      <td>0.000712</td>\n",
-       "      <td>91.800000</td>\n",
-       "      <td>0.447214</td>\n",
-       "      <td>0.997293</td>\n",
-       "      <td>0.000432</td>\n",
-       "      <td>50.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.446101</td>\n",
-       "      <td>0.230716</td>\n",
-       "      <td>135.384630</td>\n",
-       "      <td>63.350102</td>\n",
-       "      <td>0.621380</td>\n",
-       "      <td>0.012960</td>\n",
-       "      <td>212.216041</td>\n",
-       "      <td>35.808905</td>\n",
-       "      <td>0.585100</td>\n",
-       "      <td>0.008417</td>\n",
-       "      <td>114.640112</td>\n",
-       "      <td>28.844585</td>\n",
-       "      <td>0.131822</td>\n",
-       "      <td>0.006843</td>\n",
-       "      <td>79.297737</td>\n",
-       "      <td>9.116500</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                       all                           \\\n",
-       "metric                                 test/f1-score           train/e2e_time   \n",
-       "stat                                            mean       std           mean   \n",
-       "task                 model otx_version                                          \n",
-       "anomaly_segmentation all   1.5.2            0.997917  0.001437      53.977778   \n",
-       "                           1.6.0            0.998202  0.000884      49.700000   \n",
-       "                           2.0.0            0.414847  0.213423      81.074584   \n",
-       "                     padim 1.5.2            0.998153  0.000882      18.666667   \n",
-       "                           1.6.0            0.998300  0.000894      18.666667   \n",
-       "                           2.0.0            0.383594  0.197558      26.764538   \n",
-       "                     stfpm 1.5.2            0.997680  0.001838      89.288889   \n",
-       "                           1.6.0            0.998104  0.000894      80.733333   \n",
-       "                           2.0.0            0.446101  0.230716     135.384630   \n",
-       "\n",
-       "data_group                                                large            \\\n",
-       "metric                                            test/f1-score             \n",
-       "stat                                          std          mean       std   \n",
-       "task                 model otx_version                                      \n",
-       "anomaly_segmentation all   1.5.2        42.823431      0.999010  0.000285   \n",
-       "                           1.6.0        35.343780      0.999100  0.000000   \n",
-       "                           2.0.0        70.805039      0.592292  0.033424   \n",
-       "                     padim 1.5.2         3.330952      0.998920  0.000402   \n",
-       "                           1.6.0         2.126925      0.999100  0.000000   \n",
-       "                           2.0.0         7.144055      0.563205  0.015180   \n",
-       "                     stfpm 1.5.2        33.402278      0.999100  0.000000   \n",
-       "                           1.6.0        22.789304      0.999100  0.000000   \n",
-       "                           2.0.0        63.350102      0.621380  0.012960   \n",
-       "\n",
-       "data_group                                                        \\\n",
-       "metric                                 train/e2e_time              \n",
-       "stat                                             mean        std   \n",
-       "task                 model otx_version                             \n",
-       "anomaly_segmentation all   1.5.2            74.400000  54.391993   \n",
-       "                           1.6.0            60.700000  41.849067   \n",
-       "                           2.0.0           123.875078  96.131012   \n",
-       "                     padim 1.5.2            22.800000   0.447214   \n",
-       "                           1.6.0            21.000000   0.000000   \n",
-       "                           2.0.0            35.534114   0.208662   \n",
-       "                     stfpm 1.5.2           126.000000   0.000000   \n",
-       "                           1.6.0           100.400000   0.547723   \n",
-       "                           2.0.0           212.216041  35.808905   \n",
-       "\n",
-       "data_group                                    medium                           \\\n",
-       "metric                                 test/f1-score           train/e2e_time   \n",
-       "stat                                            mean       std           mean   \n",
-       "task                 model otx_version                                          \n",
-       "anomaly_segmentation all   1.5.2            0.998440  0.000548      56.300000   \n",
-       "                           1.6.0            0.998310  0.000628      55.400000   \n",
-       "                           2.0.0            0.526033  0.064923      70.363961   \n",
-       "                     padim 1.5.2            0.998440  0.000581      18.200000   \n",
-       "                           1.6.0            0.998700  0.000000      19.000000   \n",
-       "                           2.0.0            0.466965  0.026274      26.087811   \n",
-       "                     stfpm 1.5.2            0.998440  0.000581      94.400000   \n",
-       "                           1.6.0            0.997920  0.000712      91.800000   \n",
-       "                           2.0.0            0.585100  0.008417     114.640112   \n",
-       "\n",
-       "data_group                                                small            \\\n",
-       "metric                                            test/f1-score             \n",
-       "stat                                          std          mean       std   \n",
-       "task                 model otx_version                                      \n",
-       "anomaly_segmentation all   1.5.2        40.169225      0.996300  0.001317   \n",
-       "                           1.6.0        38.370127      0.997197  0.000306   \n",
-       "                           2.0.0        50.477575      0.126217  0.012360   \n",
-       "                     padim 1.5.2         0.447214      0.997100  0.000000   \n",
-       "                           1.6.0         0.000000      0.997100  0.000000   \n",
-       "                           2.0.0         0.117477      0.120611  0.014777   \n",
-       "                     stfpm 1.5.2         1.140175      0.995500  0.001517   \n",
-       "                           1.6.0         0.447214      0.997293  0.000432   \n",
-       "                           2.0.0        28.844585      0.131822  0.006843   \n",
-       "\n",
-       "data_group                                                        \n",
-       "metric                                 train/e2e_time             \n",
-       "stat                                             mean        std  \n",
-       "task                 model otx_version                            \n",
-       "anomaly_segmentation all   1.5.2            31.233333  17.111869  \n",
-       "                           1.6.0            33.000000  17.919573  \n",
-       "                           2.0.0            48.984713  32.525622  \n",
-       "                     padim 1.5.2            15.000000   0.000000  \n",
-       "                           1.6.0            16.000000   0.000000  \n",
-       "                           2.0.0            18.671688   0.044120  \n",
-       "                     stfpm 1.5.2            47.466667   0.182574  \n",
-       "                           1.6.0            50.000000   0.000000  \n",
-       "                           2.0.0            79.297737   9.116500  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/f1-score'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"anomaly_segmentation\"\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Singl-label Classificaiton"
+    "## Single-label Classificaiton"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
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-       "\n",
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-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">large</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"16\" valign=\"top\">classification/multi_class_cls</th>\n",
-       "      <th rowspan=\"3\" valign=\"top\">all</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.875314</td>\n",
-       "      <td>0.092143</td>\n",
-       "      <td>316.900000</td>\n",
-       "      <td>360.114348</td>\n",
-       "      <td>0.843790</td>\n",
-       "      <td>0.022486</td>\n",
-       "      <td>796.200000</td>\n",
-       "      <td>177.615967</td>\n",
-       "      <td>0.786950</td>\n",
-       "      <td>0.037495</td>\n",
-       "      <td>137.100000</td>\n",
-       "      <td>29.481305</td>\n",
-       "      <td>0.995203</td>\n",
-       "      <td>0.007610</td>\n",
-       "      <td>17.400000</td>\n",
-       "      <td>3.306205</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.872748</td>\n",
-       "      <td>0.092799</td>\n",
-       "      <td>270.594444</td>\n",
-       "      <td>292.767045</td>\n",
-       "      <td>0.839070</td>\n",
-       "      <td>0.025106</td>\n",
-       "      <td>651.600000</td>\n",
-       "      <td>164.464170</td>\n",
-       "      <td>0.785380</td>\n",
-       "      <td>0.037004</td>\n",
-       "      <td>142.250000</td>\n",
-       "      <td>41.880626</td>\n",
-       "      <td>0.993793</td>\n",
-       "      <td>0.009494</td>\n",
-       "      <td>17.933333</td>\n",
-       "      <td>3.907707</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.881061</td>\n",
-       "      <td>0.083952</td>\n",
-       "      <td>263.960735</td>\n",
-       "      <td>317.928881</td>\n",
-       "      <td>0.858767</td>\n",
-       "      <td>0.031503</td>\n",
-       "      <td>648.111815</td>\n",
-       "      <td>270.539534</td>\n",
-       "      <td>0.800688</td>\n",
-       "      <td>0.038253</td>\n",
-       "      <td>127.884466</td>\n",
-       "      <td>36.678471</td>\n",
-       "      <td>0.983729</td>\n",
-       "      <td>0.032386</td>\n",
-       "      <td>15.885925</td>\n",
-       "      <td>2.847381</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">efficientnet_b0_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.870671</td>\n",
-       "      <td>0.098662</td>\n",
-       "      <td>339.400000</td>\n",
-       "      <td>405.752352</td>\n",
-       "      <td>0.838460</td>\n",
-       "      <td>0.004174</td>\n",
-       "      <td>879.200000</td>\n",
-       "      <td>146.161554</td>\n",
-       "      <td>0.774680</td>\n",
-       "      <td>0.026191</td>\n",
-       "      <td>124.000000</td>\n",
-       "      <td>32.992423</td>\n",
-       "      <td>0.998873</td>\n",
-       "      <td>0.002519</td>\n",
-       "      <td>15.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.863927</td>\n",
-       "      <td>0.101234</td>\n",
-       "      <td>243.511111</td>\n",
-       "      <td>261.470441</td>\n",
-       "      <td>0.823280</td>\n",
-       "      <td>0.014908</td>\n",
-       "      <td>581.000000</td>\n",
-       "      <td>121.099133</td>\n",
-       "      <td>0.770760</td>\n",
-       "      <td>0.017987</td>\n",
-       "      <td>134.200000</td>\n",
-       "      <td>47.198517</td>\n",
-       "      <td>0.997740</td>\n",
-       "      <td>0.005054</td>\n",
-       "      <td>15.333333</td>\n",
-       "      <td>0.333333</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.872153</td>\n",
-       "      <td>0.097709</td>\n",
-       "      <td>228.771343</td>\n",
-       "      <td>247.614973</td>\n",
-       "      <td>0.840733</td>\n",
-       "      <td>0.001939</td>\n",
-       "      <td>559.224888</td>\n",
-       "      <td>58.342496</td>\n",
-       "      <td>0.776857</td>\n",
-       "      <td>0.027341</td>\n",
-       "      <td>112.868493</td>\n",
-       "      <td>18.999031</td>\n",
-       "      <td>0.998870</td>\n",
-       "      <td>0.002527</td>\n",
-       "      <td>14.220648</td>\n",
-       "      <td>0.177045</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">efficientnet_v2_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.907273</td>\n",
-       "      <td>0.069256</td>\n",
-       "      <td>292.111111</td>\n",
-       "      <td>310.690262</td>\n",
-       "      <td>0.876620</td>\n",
-       "      <td>0.002810</td>\n",
-       "      <td>708.600000</td>\n",
-       "      <td>52.204406</td>\n",
-       "      <td>0.845200</td>\n",
-       "      <td>0.006367</td>\n",
-       "      <td>144.800000</td>\n",
-       "      <td>24.468347</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>22.933333</td>\n",
-       "      <td>0.494413</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.907007</td>\n",
-       "      <td>0.069595</td>\n",
-       "      <td>249.400000</td>\n",
-       "      <td>262.015515</td>\n",
-       "      <td>0.876600</td>\n",
-       "      <td>0.004343</td>\n",
-       "      <td>594.000000</td>\n",
-       "      <td>100.965341</td>\n",
-       "      <td>0.844420</td>\n",
-       "      <td>0.008456</td>\n",
-       "      <td>130.000000</td>\n",
-       "      <td>20.772578</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>24.200000</td>\n",
-       "      <td>2.501111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.912924</td>\n",
-       "      <td>0.063574</td>\n",
-       "      <td>217.010504</td>\n",
-       "      <td>214.915892</td>\n",
-       "      <td>0.885833</td>\n",
-       "      <td>0.003742</td>\n",
-       "      <td>500.012385</td>\n",
-       "      <td>44.479133</td>\n",
-       "      <td>0.855199</td>\n",
-       "      <td>0.005595</td>\n",
-       "      <td>133.557217</td>\n",
-       "      <td>33.008319</td>\n",
-       "      <td>0.997740</td>\n",
-       "      <td>0.005053</td>\n",
-       "      <td>17.461911</td>\n",
-       "      <td>0.551005</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">mobilenet_v3_large_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.855802</td>\n",
-       "      <td>0.096375</td>\n",
-       "      <td>304.400000</td>\n",
-       "      <td>369.128988</td>\n",
-       "      <td>0.819680</td>\n",
-       "      <td>0.013858</td>\n",
-       "      <td>780.200000</td>\n",
-       "      <td>214.005140</td>\n",
-       "      <td>0.764660</td>\n",
-       "      <td>0.006374</td>\n",
-       "      <td>117.200000</td>\n",
-       "      <td>14.113823</td>\n",
-       "      <td>0.983067</td>\n",
-       "      <td>0.003983</td>\n",
-       "      <td>15.800000</td>\n",
-       "      <td>0.182574</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.852327</td>\n",
-       "      <td>0.096020</td>\n",
-       "      <td>276.933333</td>\n",
-       "      <td>330.541432</td>\n",
-       "      <td>0.819400</td>\n",
-       "      <td>0.007366</td>\n",
-       "      <td>705.200000</td>\n",
-       "      <td>180.502632</td>\n",
-       "      <td>0.759020</td>\n",
-       "      <td>0.007215</td>\n",
-       "      <td>109.600000</td>\n",
-       "      <td>21.137644</td>\n",
-       "      <td>0.978560</td>\n",
-       "      <td>0.002519</td>\n",
-       "      <td>16.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.852465</td>\n",
-       "      <td>0.080203</td>\n",
-       "      <td>186.925101</td>\n",
-       "      <td>216.588539</td>\n",
-       "      <td>0.826033</td>\n",
-       "      <td>0.012396</td>\n",
-       "      <td>454.814083</td>\n",
-       "      <td>160.169211</td>\n",
-       "      <td>0.781079</td>\n",
-       "      <td>0.006156</td>\n",
-       "      <td>92.124444</td>\n",
-       "      <td>11.991354</td>\n",
-       "      <td>0.950282</td>\n",
-       "      <td>0.055844</td>\n",
-       "      <td>13.836775</td>\n",
-       "      <td>0.254312</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">otx_deit_tiny</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.867511</td>\n",
-       "      <td>0.101840</td>\n",
-       "      <td>331.688889</td>\n",
-       "      <td>384.052461</td>\n",
-       "      <td>0.840400</td>\n",
-       "      <td>0.007784</td>\n",
-       "      <td>816.800000</td>\n",
-       "      <td>246.798906</td>\n",
-       "      <td>0.763260</td>\n",
-       "      <td>0.012602</td>\n",
-       "      <td>162.400000</td>\n",
-       "      <td>25.657358</td>\n",
-       "      <td>0.998873</td>\n",
-       "      <td>0.002519</td>\n",
-       "      <td>15.866667</td>\n",
-       "      <td>0.182574</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.867731</td>\n",
-       "      <td>0.100827</td>\n",
-       "      <td>312.533333</td>\n",
-       "      <td>334.284068</td>\n",
-       "      <td>0.837000</td>\n",
-       "      <td>0.011717</td>\n",
-       "      <td>726.200000</td>\n",
-       "      <td>223.863128</td>\n",
-       "      <td>0.767320</td>\n",
-       "      <td>0.012508</td>\n",
-       "      <td>195.200000</td>\n",
-       "      <td>10.940750</td>\n",
-       "      <td>0.998873</td>\n",
-       "      <td>0.002519</td>\n",
-       "      <td>16.200000</td>\n",
-       "      <td>0.447214</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.868190</td>\n",
-       "      <td>0.102760</td>\n",
-       "      <td>272.228408</td>\n",
-       "      <td>318.905430</td>\n",
-       "      <td>0.840067</td>\n",
-       "      <td>0.018922</td>\n",
-       "      <td>682.385012</td>\n",
-       "      <td>182.334471</td>\n",
-       "      <td>0.764504</td>\n",
-       "      <td>0.021351</td>\n",
-       "      <td>120.333650</td>\n",
-       "      <td>14.385634</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>13.966561</td>\n",
-       "      <td>0.039521</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>otx_dino_v2</th>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.899573</td>\n",
-       "      <td>0.063868</td>\n",
-       "      <td>414.868321</td>\n",
-       "      <td>493.599380</td>\n",
-       "      <td>0.901167</td>\n",
-       "      <td>0.008910</td>\n",
-       "      <td>1044.122708</td>\n",
-       "      <td>305.565930</td>\n",
-       "      <td>0.825801</td>\n",
-       "      <td>0.013308</td>\n",
-       "      <td>180.538524</td>\n",
-       "      <td>28.517206</td>\n",
-       "      <td>0.971751</td>\n",
-       "      <td>0.026500</td>\n",
-       "      <td>19.943731</td>\n",
-       "      <td>3.352197</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                                                    all  \\\n",
-       "metric                                                              test/accuracy   \n",
-       "stat                                                                         mean   \n",
-       "task                           model                    otx_version                 \n",
-       "classification/multi_class_cls all                      1.5.2            0.875314   \n",
-       "                                                        1.6.0            0.872748   \n",
-       "                                                        2.0.0            0.881061   \n",
-       "                               efficientnet_b0_light    1.5.2            0.870671   \n",
-       "                                                        1.6.0            0.863927   \n",
-       "                                                        2.0.0            0.872153   \n",
-       "                               efficientnet_v2_light    1.5.2            0.907273   \n",
-       "                                                        1.6.0            0.907007   \n",
-       "                                                        2.0.0            0.912924   \n",
-       "                               mobilenet_v3_large_light 1.5.2            0.855802   \n",
-       "                                                        1.6.0            0.852327   \n",
-       "                                                        2.0.0            0.852465   \n",
-       "                               otx_deit_tiny            1.5.2            0.867511   \n",
-       "                                                        1.6.0            0.867731   \n",
-       "                                                        2.0.0            0.868190   \n",
-       "                               otx_dino_v2              2.0.0            0.899573   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                                                          \n",
-       "stat                                                                      std   \n",
-       "task                           model                    otx_version             \n",
-       "classification/multi_class_cls all                      1.5.2        0.092143   \n",
-       "                                                        1.6.0        0.092799   \n",
-       "                                                        2.0.0        0.083952   \n",
-       "                               efficientnet_b0_light    1.5.2        0.098662   \n",
-       "                                                        1.6.0        0.101234   \n",
-       "                                                        2.0.0        0.097709   \n",
-       "                               efficientnet_v2_light    1.5.2        0.069256   \n",
-       "                                                        1.6.0        0.069595   \n",
-       "                                                        2.0.0        0.063574   \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.096375   \n",
-       "                                                        1.6.0        0.096020   \n",
-       "                                                        2.0.0        0.080203   \n",
-       "                               otx_deit_tiny            1.5.2        0.101840   \n",
-       "                                                        1.6.0        0.100827   \n",
-       "                                                        2.0.0        0.102760   \n",
-       "                               otx_dino_v2              2.0.0        0.063868   \n",
-       "\n",
-       "data_group                                                                          \\\n",
-       "metric                                                              train/e2e_time   \n",
-       "stat                                                                          mean   \n",
-       "task                           model                    otx_version                  \n",
-       "classification/multi_class_cls all                      1.5.2           316.900000   \n",
-       "                                                        1.6.0           270.594444   \n",
-       "                                                        2.0.0           263.960735   \n",
-       "                               efficientnet_b0_light    1.5.2           339.400000   \n",
-       "                                                        1.6.0           243.511111   \n",
-       "                                                        2.0.0           228.771343   \n",
-       "                               efficientnet_v2_light    1.5.2           292.111111   \n",
-       "                                                        1.6.0           249.400000   \n",
-       "                                                        2.0.0           217.010504   \n",
-       "                               mobilenet_v3_large_light 1.5.2           304.400000   \n",
-       "                                                        1.6.0           276.933333   \n",
-       "                                                        2.0.0           186.925101   \n",
-       "                               otx_deit_tiny            1.5.2           331.688889   \n",
-       "                                                        1.6.0           312.533333   \n",
-       "                                                        2.0.0           272.228408   \n",
-       "                               otx_dino_v2              2.0.0           414.868321   \n",
-       "\n",
-       "data_group                                                                       \\\n",
-       "metric                                                                            \n",
-       "stat                                                                        std   \n",
-       "task                           model                    otx_version               \n",
-       "classification/multi_class_cls all                      1.5.2        360.114348   \n",
-       "                                                        1.6.0        292.767045   \n",
-       "                                                        2.0.0        317.928881   \n",
-       "                               efficientnet_b0_light    1.5.2        405.752352   \n",
-       "                                                        1.6.0        261.470441   \n",
-       "                                                        2.0.0        247.614973   \n",
-       "                               efficientnet_v2_light    1.5.2        310.690262   \n",
-       "                                                        1.6.0        262.015515   \n",
-       "                                                        2.0.0        214.915892   \n",
-       "                               mobilenet_v3_large_light 1.5.2        369.128988   \n",
-       "                                                        1.6.0        330.541432   \n",
-       "                                                        2.0.0        216.588539   \n",
-       "                               otx_deit_tiny            1.5.2        384.052461   \n",
-       "                                                        1.6.0        334.284068   \n",
-       "                                                        2.0.0        318.905430   \n",
-       "                               otx_dino_v2              2.0.0        493.599380   \n",
-       "\n",
-       "data_group                                                                  large  \\\n",
-       "metric                                                              test/accuracy   \n",
-       "stat                                                                         mean   \n",
-       "task                           model                    otx_version                 \n",
-       "classification/multi_class_cls all                      1.5.2            0.843790   \n",
-       "                                                        1.6.0            0.839070   \n",
-       "                                                        2.0.0            0.858767   \n",
-       "                               efficientnet_b0_light    1.5.2            0.838460   \n",
-       "                                                        1.6.0            0.823280   \n",
-       "                                                        2.0.0            0.840733   \n",
-       "                               efficientnet_v2_light    1.5.2            0.876620   \n",
-       "                                                        1.6.0            0.876600   \n",
-       "                                                        2.0.0            0.885833   \n",
-       "                               mobilenet_v3_large_light 1.5.2            0.819680   \n",
-       "                                                        1.6.0            0.819400   \n",
-       "                                                        2.0.0            0.826033   \n",
-       "                               otx_deit_tiny            1.5.2            0.840400   \n",
-       "                                                        1.6.0            0.837000   \n",
-       "                                                        2.0.0            0.840067   \n",
-       "                               otx_dino_v2              2.0.0            0.901167   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                                                          \n",
-       "stat                                                                      std   \n",
-       "task                           model                    otx_version             \n",
-       "classification/multi_class_cls all                      1.5.2        0.022486   \n",
-       "                                                        1.6.0        0.025106   \n",
-       "                                                        2.0.0        0.031503   \n",
-       "                               efficientnet_b0_light    1.5.2        0.004174   \n",
-       "                                                        1.6.0        0.014908   \n",
-       "                                                        2.0.0        0.001939   \n",
-       "                               efficientnet_v2_light    1.5.2        0.002810   \n",
-       "                                                        1.6.0        0.004343   \n",
-       "                                                        2.0.0        0.003742   \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.013858   \n",
-       "                                                        1.6.0        0.007366   \n",
-       "                                                        2.0.0        0.012396   \n",
-       "                               otx_deit_tiny            1.5.2        0.007784   \n",
-       "                                                        1.6.0        0.011717   \n",
-       "                                                        2.0.0        0.018922   \n",
-       "                               otx_dino_v2              2.0.0        0.008910   \n",
-       "\n",
-       "data_group                                                                          \\\n",
-       "metric                                                              train/e2e_time   \n",
-       "stat                                                                          mean   \n",
-       "task                           model                    otx_version                  \n",
-       "classification/multi_class_cls all                      1.5.2           796.200000   \n",
-       "                                                        1.6.0           651.600000   \n",
-       "                                                        2.0.0           648.111815   \n",
-       "                               efficientnet_b0_light    1.5.2           879.200000   \n",
-       "                                                        1.6.0           581.000000   \n",
-       "                                                        2.0.0           559.224888   \n",
-       "                               efficientnet_v2_light    1.5.2           708.600000   \n",
-       "                                                        1.6.0           594.000000   \n",
-       "                                                        2.0.0           500.012385   \n",
-       "                               mobilenet_v3_large_light 1.5.2           780.200000   \n",
-       "                                                        1.6.0           705.200000   \n",
-       "                                                        2.0.0           454.814083   \n",
-       "                               otx_deit_tiny            1.5.2           816.800000   \n",
-       "                                                        1.6.0           726.200000   \n",
-       "                                                        2.0.0           682.385012   \n",
-       "                               otx_dino_v2              2.0.0          1044.122708   \n",
-       "\n",
-       "data_group                                                                       \\\n",
-       "metric                                                                            \n",
-       "stat                                                                        std   \n",
-       "task                           model                    otx_version               \n",
-       "classification/multi_class_cls all                      1.5.2        177.615967   \n",
-       "                                                        1.6.0        164.464170   \n",
-       "                                                        2.0.0        270.539534   \n",
-       "                               efficientnet_b0_light    1.5.2        146.161554   \n",
-       "                                                        1.6.0        121.099133   \n",
-       "                                                        2.0.0         58.342496   \n",
-       "                               efficientnet_v2_light    1.5.2         52.204406   \n",
-       "                                                        1.6.0        100.965341   \n",
-       "                                                        2.0.0         44.479133   \n",
-       "                               mobilenet_v3_large_light 1.5.2        214.005140   \n",
-       "                                                        1.6.0        180.502632   \n",
-       "                                                        2.0.0        160.169211   \n",
-       "                               otx_deit_tiny            1.5.2        246.798906   \n",
-       "                                                        1.6.0        223.863128   \n",
-       "                                                        2.0.0        182.334471   \n",
-       "                               otx_dino_v2              2.0.0        305.565930   \n",
-       "\n",
-       "data_group                                                                 medium  \\\n",
-       "metric                                                              test/accuracy   \n",
-       "stat                                                                         mean   \n",
-       "task                           model                    otx_version                 \n",
-       "classification/multi_class_cls all                      1.5.2            0.786950   \n",
-       "                                                        1.6.0            0.785380   \n",
-       "                                                        2.0.0            0.800688   \n",
-       "                               efficientnet_b0_light    1.5.2            0.774680   \n",
-       "                                                        1.6.0            0.770760   \n",
-       "                                                        2.0.0            0.776857   \n",
-       "                               efficientnet_v2_light    1.5.2            0.845200   \n",
-       "                                                        1.6.0            0.844420   \n",
-       "                                                        2.0.0            0.855199   \n",
-       "                               mobilenet_v3_large_light 1.5.2            0.764660   \n",
-       "                                                        1.6.0            0.759020   \n",
-       "                                                        2.0.0            0.781079   \n",
-       "                               otx_deit_tiny            1.5.2            0.763260   \n",
-       "                                                        1.6.0            0.767320   \n",
-       "                                                        2.0.0            0.764504   \n",
-       "                               otx_dino_v2              2.0.0            0.825801   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                                                          \n",
-       "stat                                                                      std   \n",
-       "task                           model                    otx_version             \n",
-       "classification/multi_class_cls all                      1.5.2        0.037495   \n",
-       "                                                        1.6.0        0.037004   \n",
-       "                                                        2.0.0        0.038253   \n",
-       "                               efficientnet_b0_light    1.5.2        0.026191   \n",
-       "                                                        1.6.0        0.017987   \n",
-       "                                                        2.0.0        0.027341   \n",
-       "                               efficientnet_v2_light    1.5.2        0.006367   \n",
-       "                                                        1.6.0        0.008456   \n",
-       "                                                        2.0.0        0.005595   \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.006374   \n",
-       "                                                        1.6.0        0.007215   \n",
-       "                                                        2.0.0        0.006156   \n",
-       "                               otx_deit_tiny            1.5.2        0.012602   \n",
-       "                                                        1.6.0        0.012508   \n",
-       "                                                        2.0.0        0.021351   \n",
-       "                               otx_dino_v2              2.0.0        0.013308   \n",
-       "\n",
-       "data_group                                                                          \\\n",
-       "metric                                                              train/e2e_time   \n",
-       "stat                                                                          mean   \n",
-       "task                           model                    otx_version                  \n",
-       "classification/multi_class_cls all                      1.5.2           137.100000   \n",
-       "                                                        1.6.0           142.250000   \n",
-       "                                                        2.0.0           127.884466   \n",
-       "                               efficientnet_b0_light    1.5.2           124.000000   \n",
-       "                                                        1.6.0           134.200000   \n",
-       "                                                        2.0.0           112.868493   \n",
-       "                               efficientnet_v2_light    1.5.2           144.800000   \n",
-       "                                                        1.6.0           130.000000   \n",
-       "                                                        2.0.0           133.557217   \n",
-       "                               mobilenet_v3_large_light 1.5.2           117.200000   \n",
-       "                                                        1.6.0           109.600000   \n",
-       "                                                        2.0.0            92.124444   \n",
-       "                               otx_deit_tiny            1.5.2           162.400000   \n",
-       "                                                        1.6.0           195.200000   \n",
-       "                                                        2.0.0           120.333650   \n",
-       "                               otx_dino_v2              2.0.0           180.538524   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                                           \n",
-       "stat                                                                       std   \n",
-       "task                           model                    otx_version              \n",
-       "classification/multi_class_cls all                      1.5.2        29.481305   \n",
-       "                                                        1.6.0        41.880626   \n",
-       "                                                        2.0.0        36.678471   \n",
-       "                               efficientnet_b0_light    1.5.2        32.992423   \n",
-       "                                                        1.6.0        47.198517   \n",
-       "                                                        2.0.0        18.999031   \n",
-       "                               efficientnet_v2_light    1.5.2        24.468347   \n",
-       "                                                        1.6.0        20.772578   \n",
-       "                                                        2.0.0        33.008319   \n",
-       "                               mobilenet_v3_large_light 1.5.2        14.113823   \n",
-       "                                                        1.6.0        21.137644   \n",
-       "                                                        2.0.0        11.991354   \n",
-       "                               otx_deit_tiny            1.5.2        25.657358   \n",
-       "                                                        1.6.0        10.940750   \n",
-       "                                                        2.0.0        14.385634   \n",
-       "                               otx_dino_v2              2.0.0        28.517206   \n",
-       "\n",
-       "data_group                                                                  small  \\\n",
-       "metric                                                              test/accuracy   \n",
-       "stat                                                                         mean   \n",
-       "task                           model                    otx_version                 \n",
-       "classification/multi_class_cls all                      1.5.2            0.995203   \n",
-       "                                                        1.6.0            0.993793   \n",
-       "                                                        2.0.0            0.983729   \n",
-       "                               efficientnet_b0_light    1.5.2            0.998873   \n",
-       "                                                        1.6.0            0.997740   \n",
-       "                                                        2.0.0            0.998870   \n",
-       "                               efficientnet_v2_light    1.5.2            1.000000   \n",
-       "                                                        1.6.0            1.000000   \n",
-       "                                                        2.0.0            0.997740   \n",
-       "                               mobilenet_v3_large_light 1.5.2            0.983067   \n",
-       "                                                        1.6.0            0.978560   \n",
-       "                                                        2.0.0            0.950282   \n",
-       "                               otx_deit_tiny            1.5.2            0.998873   \n",
-       "                                                        1.6.0            0.998873   \n",
-       "                                                        2.0.0            1.000000   \n",
-       "                               otx_dino_v2              2.0.0            0.971751   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                                                          \n",
-       "stat                                                                      std   \n",
-       "task                           model                    otx_version             \n",
-       "classification/multi_class_cls all                      1.5.2        0.007610   \n",
-       "                                                        1.6.0        0.009494   \n",
-       "                                                        2.0.0        0.032386   \n",
-       "                               efficientnet_b0_light    1.5.2        0.002519   \n",
-       "                                                        1.6.0        0.005054   \n",
-       "                                                        2.0.0        0.002527   \n",
-       "                               efficientnet_v2_light    1.5.2        0.000000   \n",
-       "                                                        1.6.0        0.000000   \n",
-       "                                                        2.0.0        0.005053   \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.003983   \n",
-       "                                                        1.6.0        0.002519   \n",
-       "                                                        2.0.0        0.055844   \n",
-       "                               otx_deit_tiny            1.5.2        0.002519   \n",
-       "                                                        1.6.0        0.002519   \n",
-       "                                                        2.0.0        0.000000   \n",
-       "                               otx_dino_v2              2.0.0        0.026500   \n",
-       "\n",
-       "data_group                                                                          \\\n",
-       "metric                                                              train/e2e_time   \n",
-       "stat                                                                          mean   \n",
-       "task                           model                    otx_version                  \n",
-       "classification/multi_class_cls all                      1.5.2            17.400000   \n",
-       "                                                        1.6.0            17.933333   \n",
-       "                                                        2.0.0            15.885925   \n",
-       "                               efficientnet_b0_light    1.5.2            15.000000   \n",
-       "                                                        1.6.0            15.333333   \n",
-       "                                                        2.0.0            14.220648   \n",
-       "                               efficientnet_v2_light    1.5.2            22.933333   \n",
-       "                                                        1.6.0            24.200000   \n",
-       "                                                        2.0.0            17.461911   \n",
-       "                               mobilenet_v3_large_light 1.5.2            15.800000   \n",
-       "                                                        1.6.0            16.000000   \n",
-       "                                                        2.0.0            13.836775   \n",
-       "                               otx_deit_tiny            1.5.2            15.866667   \n",
-       "                                                        1.6.0            16.200000   \n",
-       "                                                        2.0.0            13.966561   \n",
-       "                               otx_dino_v2              2.0.0            19.943731   \n",
-       "\n",
-       "data_group                                                                     \n",
-       "metric                                                                         \n",
-       "stat                                                                      std  \n",
-       "task                           model                    otx_version            \n",
-       "classification/multi_class_cls all                      1.5.2        3.306205  \n",
-       "                                                        1.6.0        3.907707  \n",
-       "                                                        2.0.0        2.847381  \n",
-       "                               efficientnet_b0_light    1.5.2        0.000000  \n",
-       "                                                        1.6.0        0.333333  \n",
-       "                                                        2.0.0        0.177045  \n",
-       "                               efficientnet_v2_light    1.5.2        0.494413  \n",
-       "                                                        1.6.0        2.501111  \n",
-       "                                                        2.0.0        0.551005  \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.182574  \n",
-       "                                                        1.6.0        0.000000  \n",
-       "                                                        2.0.0        0.254312  \n",
-       "                               otx_deit_tiny            1.5.2        0.182574  \n",
-       "                                                        1.6.0        0.447214  \n",
-       "                                                        2.0.0        0.039521  \n",
-       "                               otx_dino_v2              2.0.0        3.352197  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/accuracy'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"classification/multi_class_cls\"\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Single-label Classificaiton SemiSL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "task = \"classification/multi_class_cls_semisl\"\n",
+    "display(summary.summarize_table(history, task))\n",
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
    ]
   },
   {
@@ -2080,753 +138,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">large</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"15\" valign=\"top\">classification/multi_label_cls</th>\n",
-       "      <th rowspan=\"3\" valign=\"top\">all</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.988211</td>\n",
-       "      <td>0.006626</td>\n",
-       "      <td>351.088889</td>\n",
-       "      <td>368.699081</td>\n",
-       "      <td>0.982370</td>\n",
-       "      <td>0.004339</td>\n",
-       "      <td>805.700000</td>\n",
-       "      <td>268.377993</td>\n",
-       "      <td>0.992695</td>\n",
-       "      <td>0.002695</td>\n",
-       "      <td>218.100000</td>\n",
-       "      <td>70.543678</td>\n",
-       "      <td>0.989567</td>\n",
-       "      <td>0.007158</td>\n",
-       "      <td>29.466667</td>\n",
-       "      <td>8.517886</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.987758</td>\n",
-       "      <td>0.006503</td>\n",
-       "      <td>332.888889</td>\n",
-       "      <td>338.303487</td>\n",
-       "      <td>0.982330</td>\n",
-       "      <td>0.004283</td>\n",
-       "      <td>760.050000</td>\n",
-       "      <td>212.204339</td>\n",
-       "      <td>0.992695</td>\n",
-       "      <td>0.002695</td>\n",
-       "      <td>210.050000</td>\n",
-       "      <td>69.662702</td>\n",
-       "      <td>0.988250</td>\n",
-       "      <td>0.006985</td>\n",
-       "      <td>28.566667</td>\n",
-       "      <td>8.452205</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.941011</td>\n",
-       "      <td>0.088006</td>\n",
-       "      <td>142.703446</td>\n",
-       "      <td>147.669628</td>\n",
-       "      <td>0.981312</td>\n",
-       "      <td>0.004327</td>\n",
-       "      <td>332.304437</td>\n",
-       "      <td>92.112564</td>\n",
-       "      <td>0.993132</td>\n",
-       "      <td>0.002189</td>\n",
-       "      <td>79.782042</td>\n",
-       "      <td>18.046422</td>\n",
-       "      <td>0.848588</td>\n",
-       "      <td>0.102303</td>\n",
-       "      <td>16.023859</td>\n",
-       "      <td>1.893571</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">efficientnet_b0_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.986722</td>\n",
-       "      <td>0.008430</td>\n",
-       "      <td>421.577778</td>\n",
-       "      <td>477.905607</td>\n",
-       "      <td>0.981760</td>\n",
-       "      <td>0.002040</td>\n",
-       "      <td>1009.400000</td>\n",
-       "      <td>348.888664</td>\n",
-       "      <td>0.993080</td>\n",
-       "      <td>0.000887</td>\n",
-       "      <td>227.800000</td>\n",
-       "      <td>68.627254</td>\n",
-       "      <td>0.985327</td>\n",
-       "      <td>0.012649</td>\n",
-       "      <td>27.533333</td>\n",
-       "      <td>0.649786</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.986636</td>\n",
-       "      <td>0.008460</td>\n",
-       "      <td>382.133333</td>\n",
-       "      <td>404.028126</td>\n",
-       "      <td>0.981500</td>\n",
-       "      <td>0.001629</td>\n",
-       "      <td>900.800000</td>\n",
-       "      <td>198.329776</td>\n",
-       "      <td>0.993080</td>\n",
-       "      <td>0.000887</td>\n",
-       "      <td>219.000000</td>\n",
-       "      <td>66.790718</td>\n",
-       "      <td>0.985327</td>\n",
-       "      <td>0.012649</td>\n",
-       "      <td>26.600000</td>\n",
-       "      <td>0.641179</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.946897</td>\n",
-       "      <td>0.061467</td>\n",
-       "      <td>162.721540</td>\n",
-       "      <td>160.383537</td>\n",
-       "      <td>0.981562</td>\n",
-       "      <td>0.000375</td>\n",
-       "      <td>375.041831</td>\n",
-       "      <td>32.082924</td>\n",
-       "      <td>0.992839</td>\n",
-       "      <td>0.000154</td>\n",
-       "      <td>98.260900</td>\n",
-       "      <td>11.322091</td>\n",
-       "      <td>0.866290</td>\n",
-       "      <td>0.031002</td>\n",
-       "      <td>14.861889</td>\n",
-       "      <td>0.792002</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">efficientnet_v2_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.992151</td>\n",
-       "      <td>0.003565</td>\n",
-       "      <td>451.200000</td>\n",
-       "      <td>417.890504</td>\n",
-       "      <td>0.988980</td>\n",
-       "      <td>0.000614</td>\n",
-       "      <td>1000.200000</td>\n",
-       "      <td>30.987094</td>\n",
-       "      <td>0.995740</td>\n",
-       "      <td>0.000167</td>\n",
-       "      <td>310.000000</td>\n",
-       "      <td>26.532998</td>\n",
-       "      <td>0.991733</td>\n",
-       "      <td>0.003898</td>\n",
-       "      <td>43.400000</td>\n",
-       "      <td>0.596285</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.991776</td>\n",
-       "      <td>0.003397</td>\n",
-       "      <td>437.200000</td>\n",
-       "      <td>403.844536</td>\n",
-       "      <td>0.988980</td>\n",
-       "      <td>0.000614</td>\n",
-       "      <td>967.400000</td>\n",
-       "      <td>30.972569</td>\n",
-       "      <td>0.995740</td>\n",
-       "      <td>0.000167</td>\n",
-       "      <td>301.800000</td>\n",
-       "      <td>26.771253</td>\n",
-       "      <td>0.990607</td>\n",
-       "      <td>0.002978</td>\n",
-       "      <td>42.400000</td>\n",
-       "      <td>0.365148</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.899559</td>\n",
-       "      <td>0.136267</td>\n",
-       "      <td>113.973433</td>\n",
-       "      <td>93.843604</td>\n",
-       "      <td>0.986860</td>\n",
-       "      <td>0.000679</td>\n",
-       "      <td>233.013411</td>\n",
-       "      <td>28.933233</td>\n",
-       "      <td>0.995810</td>\n",
-       "      <td>0.000102</td>\n",
-       "      <td>90.594856</td>\n",
-       "      <td>12.141688</td>\n",
-       "      <td>0.716008</td>\n",
-       "      <td>0.042056</td>\n",
-       "      <td>18.312030</td>\n",
-       "      <td>1.844396</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">mobilenet_v3_large_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.987676</td>\n",
-       "      <td>0.005679</td>\n",
-       "      <td>285.022222</td>\n",
-       "      <td>282.803692</td>\n",
-       "      <td>0.980940</td>\n",
-       "      <td>0.000378</td>\n",
-       "      <td>655.400000</td>\n",
-       "      <td>88.917377</td>\n",
-       "      <td>0.993360</td>\n",
-       "      <td>0.000351</td>\n",
-       "      <td>174.600000</td>\n",
-       "      <td>28.797569</td>\n",
-       "      <td>0.988727</td>\n",
-       "      <td>0.003758</td>\n",
-       "      <td>25.066667</td>\n",
-       "      <td>0.278887</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.987922</td>\n",
-       "      <td>0.005905</td>\n",
-       "      <td>271.755556</td>\n",
-       "      <td>269.972675</td>\n",
-       "      <td>0.980920</td>\n",
-       "      <td>0.000421</td>\n",
-       "      <td>625.200000</td>\n",
-       "      <td>87.104535</td>\n",
-       "      <td>0.993360</td>\n",
-       "      <td>0.000351</td>\n",
-       "      <td>165.800000</td>\n",
-       "      <td>27.580790</td>\n",
-       "      <td>0.989487</td>\n",
-       "      <td>0.004522</td>\n",
-       "      <td>24.266667</td>\n",
-       "      <td>0.278887</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.983290</td>\n",
-       "      <td>0.010271</td>\n",
-       "      <td>144.771789</td>\n",
-       "      <td>171.662995</td>\n",
-       "      <td>0.980795</td>\n",
-       "      <td>0.002899</td>\n",
-       "      <td>358.387429</td>\n",
-       "      <td>127.249080</td>\n",
-       "      <td>0.993934</td>\n",
-       "      <td>0.000098</td>\n",
-       "      <td>61.316191</td>\n",
-       "      <td>4.862389</td>\n",
-       "      <td>0.975141</td>\n",
-       "      <td>0.011331</td>\n",
-       "      <td>14.611746</td>\n",
-       "      <td>0.168348</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">otx_deit_tiny</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.986293</td>\n",
-       "      <td>0.006764</td>\n",
-       "      <td>246.555556</td>\n",
-       "      <td>239.657383</td>\n",
-       "      <td>0.977800</td>\n",
-       "      <td>0.000992</td>\n",
-       "      <td>557.800000</td>\n",
-       "      <td>85.596145</td>\n",
-       "      <td>0.988600</td>\n",
-       "      <td>0.000515</td>\n",
-       "      <td>160.000000</td>\n",
-       "      <td>11.640447</td>\n",
-       "      <td>0.992480</td>\n",
-       "      <td>0.003771</td>\n",
-       "      <td>21.866667</td>\n",
-       "      <td>0.182574</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.984700</td>\n",
-       "      <td>0.005617</td>\n",
-       "      <td>240.466667</td>\n",
-       "      <td>235.997841</td>\n",
-       "      <td>0.977920</td>\n",
-       "      <td>0.000998</td>\n",
-       "      <td>546.800000</td>\n",
-       "      <td>89.071320</td>\n",
-       "      <td>0.988600</td>\n",
-       "      <td>0.000515</td>\n",
-       "      <td>153.600000</td>\n",
-       "      <td>7.700649</td>\n",
-       "      <td>0.987580</td>\n",
-       "      <td>0.004725</td>\n",
-       "      <td>21.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.934296</td>\n",
-       "      <td>0.079661</td>\n",
-       "      <td>149.347023</td>\n",
-       "      <td>162.895000</td>\n",
-       "      <td>0.976030</td>\n",
-       "      <td>0.002483</td>\n",
-       "      <td>362.775078</td>\n",
-       "      <td>75.007985</td>\n",
-       "      <td>0.989946</td>\n",
-       "      <td>0.000396</td>\n",
-       "      <td>68.956220</td>\n",
-       "      <td>10.098576</td>\n",
-       "      <td>0.836911</td>\n",
-       "      <td>0.065584</td>\n",
-       "      <td>16.309771</td>\n",
-       "      <td>1.465299</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                                                    all  \\\n",
-       "metric                                                              test/accuracy   \n",
-       "stat                                                                         mean   \n",
-       "task                           model                    otx_version                 \n",
-       "classification/multi_label_cls all                      1.5.2            0.988211   \n",
-       "                                                        1.6.0            0.987758   \n",
-       "                                                        2.0.0            0.941011   \n",
-       "                               efficientnet_b0_light    1.5.2            0.986722   \n",
-       "                                                        1.6.0            0.986636   \n",
-       "                                                        2.0.0            0.946897   \n",
-       "                               efficientnet_v2_light    1.5.2            0.992151   \n",
-       "                                                        1.6.0            0.991776   \n",
-       "                                                        2.0.0            0.899559   \n",
-       "                               mobilenet_v3_large_light 1.5.2            0.987676   \n",
-       "                                                        1.6.0            0.987922   \n",
-       "                                                        2.0.0            0.983290   \n",
-       "                               otx_deit_tiny            1.5.2            0.986293   \n",
-       "                                                        1.6.0            0.984700   \n",
-       "                                                        2.0.0            0.934296   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                                                          \n",
-       "stat                                                                      std   \n",
-       "task                           model                    otx_version             \n",
-       "classification/multi_label_cls all                      1.5.2        0.006626   \n",
-       "                                                        1.6.0        0.006503   \n",
-       "                                                        2.0.0        0.088006   \n",
-       "                               efficientnet_b0_light    1.5.2        0.008430   \n",
-       "                                                        1.6.0        0.008460   \n",
-       "                                                        2.0.0        0.061467   \n",
-       "                               efficientnet_v2_light    1.5.2        0.003565   \n",
-       "                                                        1.6.0        0.003397   \n",
-       "                                                        2.0.0        0.136267   \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.005679   \n",
-       "                                                        1.6.0        0.005905   \n",
-       "                                                        2.0.0        0.010271   \n",
-       "                               otx_deit_tiny            1.5.2        0.006764   \n",
-       "                                                        1.6.0        0.005617   \n",
-       "                                                        2.0.0        0.079661   \n",
-       "\n",
-       "data_group                                                                          \\\n",
-       "metric                                                              train/e2e_time   \n",
-       "stat                                                                          mean   \n",
-       "task                           model                    otx_version                  \n",
-       "classification/multi_label_cls all                      1.5.2           351.088889   \n",
-       "                                                        1.6.0           332.888889   \n",
-       "                                                        2.0.0           142.703446   \n",
-       "                               efficientnet_b0_light    1.5.2           421.577778   \n",
-       "                                                        1.6.0           382.133333   \n",
-       "                                                        2.0.0           162.721540   \n",
-       "                               efficientnet_v2_light    1.5.2           451.200000   \n",
-       "                                                        1.6.0           437.200000   \n",
-       "                                                        2.0.0           113.973433   \n",
-       "                               mobilenet_v3_large_light 1.5.2           285.022222   \n",
-       "                                                        1.6.0           271.755556   \n",
-       "                                                        2.0.0           144.771789   \n",
-       "                               otx_deit_tiny            1.5.2           246.555556   \n",
-       "                                                        1.6.0           240.466667   \n",
-       "                                                        2.0.0           149.347023   \n",
-       "\n",
-       "data_group                                                                       \\\n",
-       "metric                                                                            \n",
-       "stat                                                                        std   \n",
-       "task                           model                    otx_version               \n",
-       "classification/multi_label_cls all                      1.5.2        368.699081   \n",
-       "                                                        1.6.0        338.303487   \n",
-       "                                                        2.0.0        147.669628   \n",
-       "                               efficientnet_b0_light    1.5.2        477.905607   \n",
-       "                                                        1.6.0        404.028126   \n",
-       "                                                        2.0.0        160.383537   \n",
-       "                               efficientnet_v2_light    1.5.2        417.890504   \n",
-       "                                                        1.6.0        403.844536   \n",
-       "                                                        2.0.0         93.843604   \n",
-       "                               mobilenet_v3_large_light 1.5.2        282.803692   \n",
-       "                                                        1.6.0        269.972675   \n",
-       "                                                        2.0.0        171.662995   \n",
-       "                               otx_deit_tiny            1.5.2        239.657383   \n",
-       "                                                        1.6.0        235.997841   \n",
-       "                                                        2.0.0        162.895000   \n",
-       "\n",
-       "data_group                                                                  large  \\\n",
-       "metric                                                              test/accuracy   \n",
-       "stat                                                                         mean   \n",
-       "task                           model                    otx_version                 \n",
-       "classification/multi_label_cls all                      1.5.2            0.982370   \n",
-       "                                                        1.6.0            0.982330   \n",
-       "                                                        2.0.0            0.981312   \n",
-       "                               efficientnet_b0_light    1.5.2            0.981760   \n",
-       "                                                        1.6.0            0.981500   \n",
-       "                                                        2.0.0            0.981562   \n",
-       "                               efficientnet_v2_light    1.5.2            0.988980   \n",
-       "                                                        1.6.0            0.988980   \n",
-       "                                                        2.0.0            0.986860   \n",
-       "                               mobilenet_v3_large_light 1.5.2            0.980940   \n",
-       "                                                        1.6.0            0.980920   \n",
-       "                                                        2.0.0            0.980795   \n",
-       "                               otx_deit_tiny            1.5.2            0.977800   \n",
-       "                                                        1.6.0            0.977920   \n",
-       "                                                        2.0.0            0.976030   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                                                          \n",
-       "stat                                                                      std   \n",
-       "task                           model                    otx_version             \n",
-       "classification/multi_label_cls all                      1.5.2        0.004339   \n",
-       "                                                        1.6.0        0.004283   \n",
-       "                                                        2.0.0        0.004327   \n",
-       "                               efficientnet_b0_light    1.5.2        0.002040   \n",
-       "                                                        1.6.0        0.001629   \n",
-       "                                                        2.0.0        0.000375   \n",
-       "                               efficientnet_v2_light    1.5.2        0.000614   \n",
-       "                                                        1.6.0        0.000614   \n",
-       "                                                        2.0.0        0.000679   \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.000378   \n",
-       "                                                        1.6.0        0.000421   \n",
-       "                                                        2.0.0        0.002899   \n",
-       "                               otx_deit_tiny            1.5.2        0.000992   \n",
-       "                                                        1.6.0        0.000998   \n",
-       "                                                        2.0.0        0.002483   \n",
-       "\n",
-       "data_group                                                                          \\\n",
-       "metric                                                              train/e2e_time   \n",
-       "stat                                                                          mean   \n",
-       "task                           model                    otx_version                  \n",
-       "classification/multi_label_cls all                      1.5.2           805.700000   \n",
-       "                                                        1.6.0           760.050000   \n",
-       "                                                        2.0.0           332.304437   \n",
-       "                               efficientnet_b0_light    1.5.2          1009.400000   \n",
-       "                                                        1.6.0           900.800000   \n",
-       "                                                        2.0.0           375.041831   \n",
-       "                               efficientnet_v2_light    1.5.2          1000.200000   \n",
-       "                                                        1.6.0           967.400000   \n",
-       "                                                        2.0.0           233.013411   \n",
-       "                               mobilenet_v3_large_light 1.5.2           655.400000   \n",
-       "                                                        1.6.0           625.200000   \n",
-       "                                                        2.0.0           358.387429   \n",
-       "                               otx_deit_tiny            1.5.2           557.800000   \n",
-       "                                                        1.6.0           546.800000   \n",
-       "                                                        2.0.0           362.775078   \n",
-       "\n",
-       "data_group                                                                       \\\n",
-       "metric                                                                            \n",
-       "stat                                                                        std   \n",
-       "task                           model                    otx_version               \n",
-       "classification/multi_label_cls all                      1.5.2        268.377993   \n",
-       "                                                        1.6.0        212.204339   \n",
-       "                                                        2.0.0         92.112564   \n",
-       "                               efficientnet_b0_light    1.5.2        348.888664   \n",
-       "                                                        1.6.0        198.329776   \n",
-       "                                                        2.0.0         32.082924   \n",
-       "                               efficientnet_v2_light    1.5.2         30.987094   \n",
-       "                                                        1.6.0         30.972569   \n",
-       "                                                        2.0.0         28.933233   \n",
-       "                               mobilenet_v3_large_light 1.5.2         88.917377   \n",
-       "                                                        1.6.0         87.104535   \n",
-       "                                                        2.0.0        127.249080   \n",
-       "                               otx_deit_tiny            1.5.2         85.596145   \n",
-       "                                                        1.6.0         89.071320   \n",
-       "                                                        2.0.0         75.007985   \n",
-       "\n",
-       "data_group                                                                 medium  \\\n",
-       "metric                                                              test/accuracy   \n",
-       "stat                                                                         mean   \n",
-       "task                           model                    otx_version                 \n",
-       "classification/multi_label_cls all                      1.5.2            0.992695   \n",
-       "                                                        1.6.0            0.992695   \n",
-       "                                                        2.0.0            0.993132   \n",
-       "                               efficientnet_b0_light    1.5.2            0.993080   \n",
-       "                                                        1.6.0            0.993080   \n",
-       "                                                        2.0.0            0.992839   \n",
-       "                               efficientnet_v2_light    1.5.2            0.995740   \n",
-       "                                                        1.6.0            0.995740   \n",
-       "                                                        2.0.0            0.995810   \n",
-       "                               mobilenet_v3_large_light 1.5.2            0.993360   \n",
-       "                                                        1.6.0            0.993360   \n",
-       "                                                        2.0.0            0.993934   \n",
-       "                               otx_deit_tiny            1.5.2            0.988600   \n",
-       "                                                        1.6.0            0.988600   \n",
-       "                                                        2.0.0            0.989946   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                                                          \n",
-       "stat                                                                      std   \n",
-       "task                           model                    otx_version             \n",
-       "classification/multi_label_cls all                      1.5.2        0.002695   \n",
-       "                                                        1.6.0        0.002695   \n",
-       "                                                        2.0.0        0.002189   \n",
-       "                               efficientnet_b0_light    1.5.2        0.000887   \n",
-       "                                                        1.6.0        0.000887   \n",
-       "                                                        2.0.0        0.000154   \n",
-       "                               efficientnet_v2_light    1.5.2        0.000167   \n",
-       "                                                        1.6.0        0.000167   \n",
-       "                                                        2.0.0        0.000102   \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.000351   \n",
-       "                                                        1.6.0        0.000351   \n",
-       "                                                        2.0.0        0.000098   \n",
-       "                               otx_deit_tiny            1.5.2        0.000515   \n",
-       "                                                        1.6.0        0.000515   \n",
-       "                                                        2.0.0        0.000396   \n",
-       "\n",
-       "data_group                                                                          \\\n",
-       "metric                                                              train/e2e_time   \n",
-       "stat                                                                          mean   \n",
-       "task                           model                    otx_version                  \n",
-       "classification/multi_label_cls all                      1.5.2           218.100000   \n",
-       "                                                        1.6.0           210.050000   \n",
-       "                                                        2.0.0            79.782042   \n",
-       "                               efficientnet_b0_light    1.5.2           227.800000   \n",
-       "                                                        1.6.0           219.000000   \n",
-       "                                                        2.0.0            98.260900   \n",
-       "                               efficientnet_v2_light    1.5.2           310.000000   \n",
-       "                                                        1.6.0           301.800000   \n",
-       "                                                        2.0.0            90.594856   \n",
-       "                               mobilenet_v3_large_light 1.5.2           174.600000   \n",
-       "                                                        1.6.0           165.800000   \n",
-       "                                                        2.0.0            61.316191   \n",
-       "                               otx_deit_tiny            1.5.2           160.000000   \n",
-       "                                                        1.6.0           153.600000   \n",
-       "                                                        2.0.0            68.956220   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                                           \n",
-       "stat                                                                       std   \n",
-       "task                           model                    otx_version              \n",
-       "classification/multi_label_cls all                      1.5.2        70.543678   \n",
-       "                                                        1.6.0        69.662702   \n",
-       "                                                        2.0.0        18.046422   \n",
-       "                               efficientnet_b0_light    1.5.2        68.627254   \n",
-       "                                                        1.6.0        66.790718   \n",
-       "                                                        2.0.0        11.322091   \n",
-       "                               efficientnet_v2_light    1.5.2        26.532998   \n",
-       "                                                        1.6.0        26.771253   \n",
-       "                                                        2.0.0        12.141688   \n",
-       "                               mobilenet_v3_large_light 1.5.2        28.797569   \n",
-       "                                                        1.6.0        27.580790   \n",
-       "                                                        2.0.0         4.862389   \n",
-       "                               otx_deit_tiny            1.5.2        11.640447   \n",
-       "                                                        1.6.0         7.700649   \n",
-       "                                                        2.0.0        10.098576   \n",
-       "\n",
-       "data_group                                                                  small  \\\n",
-       "metric                                                              test/accuracy   \n",
-       "stat                                                                         mean   \n",
-       "task                           model                    otx_version                 \n",
-       "classification/multi_label_cls all                      1.5.2            0.989567   \n",
-       "                                                        1.6.0            0.988250   \n",
-       "                                                        2.0.0            0.848588   \n",
-       "                               efficientnet_b0_light    1.5.2            0.985327   \n",
-       "                                                        1.6.0            0.985327   \n",
-       "                                                        2.0.0            0.866290   \n",
-       "                               efficientnet_v2_light    1.5.2            0.991733   \n",
-       "                                                        1.6.0            0.990607   \n",
-       "                                                        2.0.0            0.716008   \n",
-       "                               mobilenet_v3_large_light 1.5.2            0.988727   \n",
-       "                                                        1.6.0            0.989487   \n",
-       "                                                        2.0.0            0.975141   \n",
-       "                               otx_deit_tiny            1.5.2            0.992480   \n",
-       "                                                        1.6.0            0.987580   \n",
-       "                                                        2.0.0            0.836911   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                                                          \n",
-       "stat                                                                      std   \n",
-       "task                           model                    otx_version             \n",
-       "classification/multi_label_cls all                      1.5.2        0.007158   \n",
-       "                                                        1.6.0        0.006985   \n",
-       "                                                        2.0.0        0.102303   \n",
-       "                               efficientnet_b0_light    1.5.2        0.012649   \n",
-       "                                                        1.6.0        0.012649   \n",
-       "                                                        2.0.0        0.031002   \n",
-       "                               efficientnet_v2_light    1.5.2        0.003898   \n",
-       "                                                        1.6.0        0.002978   \n",
-       "                                                        2.0.0        0.042056   \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.003758   \n",
-       "                                                        1.6.0        0.004522   \n",
-       "                                                        2.0.0        0.011331   \n",
-       "                               otx_deit_tiny            1.5.2        0.003771   \n",
-       "                                                        1.6.0        0.004725   \n",
-       "                                                        2.0.0        0.065584   \n",
-       "\n",
-       "data_group                                                                          \\\n",
-       "metric                                                              train/e2e_time   \n",
-       "stat                                                                          mean   \n",
-       "task                           model                    otx_version                  \n",
-       "classification/multi_label_cls all                      1.5.2            29.466667   \n",
-       "                                                        1.6.0            28.566667   \n",
-       "                                                        2.0.0            16.023859   \n",
-       "                               efficientnet_b0_light    1.5.2            27.533333   \n",
-       "                                                        1.6.0            26.600000   \n",
-       "                                                        2.0.0            14.861889   \n",
-       "                               efficientnet_v2_light    1.5.2            43.400000   \n",
-       "                                                        1.6.0            42.400000   \n",
-       "                                                        2.0.0            18.312030   \n",
-       "                               mobilenet_v3_large_light 1.5.2            25.066667   \n",
-       "                                                        1.6.0            24.266667   \n",
-       "                                                        2.0.0            14.611746   \n",
-       "                               otx_deit_tiny            1.5.2            21.866667   \n",
-       "                                                        1.6.0            21.000000   \n",
-       "                                                        2.0.0            16.309771   \n",
-       "\n",
-       "data_group                                                                     \n",
-       "metric                                                                         \n",
-       "stat                                                                      std  \n",
-       "task                           model                    otx_version            \n",
-       "classification/multi_label_cls all                      1.5.2        8.517886  \n",
-       "                                                        1.6.0        8.452205  \n",
-       "                                                        2.0.0        1.893571  \n",
-       "                               efficientnet_b0_light    1.5.2        0.649786  \n",
-       "                                                        1.6.0        0.641179  \n",
-       "                                                        2.0.0        0.792002  \n",
-       "                               efficientnet_v2_light    1.5.2        0.596285  \n",
-       "                                                        1.6.0        0.365148  \n",
-       "                                                        2.0.0        1.844396  \n",
-       "                               mobilenet_v3_large_light 1.5.2        0.278887  \n",
-       "                                                        1.6.0        0.278887  \n",
-       "                                                        2.0.0        0.168348  \n",
-       "                               otx_deit_tiny            1.5.2        0.182574  \n",
-       "                                                        1.6.0        0.000000  \n",
-       "                                                        2.0.0        1.465299  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/accuracy'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"classification/multi_label_cls\"\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
    ]
   },
   {
@@ -2838,602 +157,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/accuracy</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"15\" valign=\"top\">classification/h_label_cls</th>\n",
-       "      <th rowspan=\"3\" valign=\"top\">all</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.547972</td>\n",
-       "      <td>0.258282</td>\n",
-       "      <td>102.458333</td>\n",
-       "      <td>96.421135</td>\n",
-       "      <td>0.297775</td>\n",
-       "      <td>0.045123</td>\n",
-       "      <td>182.400000</td>\n",
-       "      <td>74.924804</td>\n",
-       "      <td>0.798170</td>\n",
-       "      <td>0.055746</td>\n",
-       "      <td>22.516667</td>\n",
-       "      <td>3.952163</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.547972</td>\n",
-       "      <td>0.258282</td>\n",
-       "      <td>101.325000</td>\n",
-       "      <td>94.870206</td>\n",
-       "      <td>0.297775</td>\n",
-       "      <td>0.045123</td>\n",
-       "      <td>179.600000</td>\n",
-       "      <td>74.564984</td>\n",
-       "      <td>0.798170</td>\n",
-       "      <td>0.055746</td>\n",
-       "      <td>23.050000</td>\n",
-       "      <td>3.947425</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.888703</td>\n",
-       "      <td>0.088390</td>\n",
-       "      <td>68.485911</td>\n",
-       "      <td>56.546587</td>\n",
-       "      <td>0.950094</td>\n",
-       "      <td>0.016881</td>\n",
-       "      <td>119.292418</td>\n",
-       "      <td>33.536050</td>\n",
-       "      <td>0.827312</td>\n",
-       "      <td>0.088415</td>\n",
-       "      <td>17.679403</td>\n",
-       "      <td>2.082844</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">efficientnet_b0_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.570400</td>\n",
-       "      <td>0.282924</td>\n",
-       "      <td>141.633333</td>\n",
-       "      <td>127.231145</td>\n",
-       "      <td>0.302380</td>\n",
-       "      <td>0.016499</td>\n",
-       "      <td>260.200000</td>\n",
-       "      <td>35.730939</td>\n",
-       "      <td>0.838420</td>\n",
-       "      <td>0.015653</td>\n",
-       "      <td>23.066667</td>\n",
-       "      <td>0.795822</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.570400</td>\n",
-       "      <td>0.282924</td>\n",
-       "      <td>140.633333</td>\n",
-       "      <td>125.654479</td>\n",
-       "      <td>0.302380</td>\n",
-       "      <td>0.016499</td>\n",
-       "      <td>257.800000</td>\n",
-       "      <td>34.708789</td>\n",
-       "      <td>0.838420</td>\n",
-       "      <td>0.015653</td>\n",
-       "      <td>23.466667</td>\n",
-       "      <td>0.767391</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.828447</td>\n",
-       "      <td>0.125164</td>\n",
-       "      <td>82.806464</td>\n",
-       "      <td>71.294458</td>\n",
-       "      <td>0.934620</td>\n",
-       "      <td>0.002132</td>\n",
-       "      <td>148.528255</td>\n",
-       "      <td>25.141607</td>\n",
-       "      <td>0.722273</td>\n",
-       "      <td>0.084037</td>\n",
-       "      <td>17.084672</td>\n",
-       "      <td>2.457527</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">efficientnet_v2_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.601830</td>\n",
-       "      <td>0.271415</td>\n",
-       "      <td>133.100000</td>\n",
-       "      <td>113.368845</td>\n",
-       "      <td>0.344880</td>\n",
-       "      <td>0.008029</td>\n",
-       "      <td>238.200000</td>\n",
-       "      <td>36.009721</td>\n",
-       "      <td>0.858780</td>\n",
-       "      <td>0.025031</td>\n",
-       "      <td>28.000000</td>\n",
-       "      <td>2.527625</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.601830</td>\n",
-       "      <td>0.271415</td>\n",
-       "      <td>131.633333</td>\n",
-       "      <td>111.014897</td>\n",
-       "      <td>0.344880</td>\n",
-       "      <td>0.008029</td>\n",
-       "      <td>234.600000</td>\n",
-       "      <td>34.896991</td>\n",
-       "      <td>0.858780</td>\n",
-       "      <td>0.025031</td>\n",
-       "      <td>28.666667</td>\n",
-       "      <td>2.560382</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.943747</td>\n",
-       "      <td>0.040912</td>\n",
-       "      <td>80.670601</td>\n",
-       "      <td>66.557226</td>\n",
-       "      <td>0.975566</td>\n",
-       "      <td>0.001911</td>\n",
-       "      <td>141.329627</td>\n",
-       "      <td>27.682584</td>\n",
-       "      <td>0.911928</td>\n",
-       "      <td>0.035090</td>\n",
-       "      <td>20.011575</td>\n",
-       "      <td>1.440756</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">mobilenet_v3_large_light</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.485103</td>\n",
-       "      <td>0.266539</td>\n",
-       "      <td>67.266667</td>\n",
-       "      <td>56.156483</td>\n",
-       "      <td>0.232920</td>\n",
-       "      <td>0.027346</td>\n",
-       "      <td>115.000000</td>\n",
-       "      <td>37.343005</td>\n",
-       "      <td>0.737287</td>\n",
-       "      <td>0.010374</td>\n",
-       "      <td>19.533333</td>\n",
-       "      <td>2.193425</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.485103</td>\n",
-       "      <td>0.266539</td>\n",
-       "      <td>65.600000</td>\n",
-       "      <td>53.753392</td>\n",
-       "      <td>0.232920</td>\n",
-       "      <td>0.027346</td>\n",
-       "      <td>111.200000</td>\n",
-       "      <td>36.044417</td>\n",
-       "      <td>0.737287</td>\n",
-       "      <td>0.010374</td>\n",
-       "      <td>20.000000</td>\n",
-       "      <td>1.900292</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.899496</td>\n",
-       "      <td>0.059261</td>\n",
-       "      <td>57.999802</td>\n",
-       "      <td>44.262381</td>\n",
-       "      <td>0.952836</td>\n",
-       "      <td>0.002434</td>\n",
-       "      <td>98.739960</td>\n",
-       "      <td>16.043620</td>\n",
-       "      <td>0.846156</td>\n",
-       "      <td>0.027980</td>\n",
-       "      <td>17.259643</td>\n",
-       "      <td>1.143308</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">otx_deit_tiny</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.534557</td>\n",
-       "      <td>0.236531</td>\n",
-       "      <td>67.833333</td>\n",
-       "      <td>51.349264</td>\n",
-       "      <td>0.310920</td>\n",
-       "      <td>0.017691</td>\n",
-       "      <td>116.200000</td>\n",
-       "      <td>9.093954</td>\n",
-       "      <td>0.758193</td>\n",
-       "      <td>0.023105</td>\n",
-       "      <td>19.466667</td>\n",
-       "      <td>1.282359</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.534557</td>\n",
-       "      <td>0.236531</td>\n",
-       "      <td>67.433333</td>\n",
-       "      <td>50.664729</td>\n",
-       "      <td>0.310920</td>\n",
-       "      <td>0.017691</td>\n",
-       "      <td>114.800000</td>\n",
-       "      <td>12.872451</td>\n",
-       "      <td>0.758193</td>\n",
-       "      <td>0.023105</td>\n",
-       "      <td>20.066667</td>\n",
-       "      <td>0.924962</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.883122</td>\n",
-       "      <td>0.073747</td>\n",
-       "      <td>52.466776</td>\n",
-       "      <td>39.797654</td>\n",
-       "      <td>0.937355</td>\n",
-       "      <td>0.004109</td>\n",
-       "      <td>88.571830</td>\n",
-       "      <td>17.412057</td>\n",
-       "      <td>0.828889</td>\n",
-       "      <td>0.069764</td>\n",
-       "      <td>16.361722</td>\n",
-       "      <td>1.246098</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                                                all  \\\n",
-       "metric                                                          test/accuracy   \n",
-       "stat                                                                     mean   \n",
-       "task                       model                    otx_version                 \n",
-       "classification/h_label_cls all                      1.5.2            0.547972   \n",
-       "                                                    1.6.0            0.547972   \n",
-       "                                                    2.0.0            0.888703   \n",
-       "                           efficientnet_b0_light    1.5.2            0.570400   \n",
-       "                                                    1.6.0            0.570400   \n",
-       "                                                    2.0.0            0.828447   \n",
-       "                           efficientnet_v2_light    1.5.2            0.601830   \n",
-       "                                                    1.6.0            0.601830   \n",
-       "                                                    2.0.0            0.943747   \n",
-       "                           mobilenet_v3_large_light 1.5.2            0.485103   \n",
-       "                                                    1.6.0            0.485103   \n",
-       "                                                    2.0.0            0.899496   \n",
-       "                           otx_deit_tiny            1.5.2            0.534557   \n",
-       "                                                    1.6.0            0.534557   \n",
-       "                                                    2.0.0            0.883122   \n",
-       "\n",
-       "data_group                                                                 \\\n",
-       "metric                                                                      \n",
-       "stat                                                                  std   \n",
-       "task                       model                    otx_version             \n",
-       "classification/h_label_cls all                      1.5.2        0.258282   \n",
-       "                                                    1.6.0        0.258282   \n",
-       "                                                    2.0.0        0.088390   \n",
-       "                           efficientnet_b0_light    1.5.2        0.282924   \n",
-       "                                                    1.6.0        0.282924   \n",
-       "                                                    2.0.0        0.125164   \n",
-       "                           efficientnet_v2_light    1.5.2        0.271415   \n",
-       "                                                    1.6.0        0.271415   \n",
-       "                                                    2.0.0        0.040912   \n",
-       "                           mobilenet_v3_large_light 1.5.2        0.266539   \n",
-       "                                                    1.6.0        0.266539   \n",
-       "                                                    2.0.0        0.059261   \n",
-       "                           otx_deit_tiny            1.5.2        0.236531   \n",
-       "                                                    1.6.0        0.236531   \n",
-       "                                                    2.0.0        0.073747   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                          train/e2e_time   \n",
-       "stat                                                                      mean   \n",
-       "task                       model                    otx_version                  \n",
-       "classification/h_label_cls all                      1.5.2           102.458333   \n",
-       "                                                    1.6.0           101.325000   \n",
-       "                                                    2.0.0            68.485911   \n",
-       "                           efficientnet_b0_light    1.5.2           141.633333   \n",
-       "                                                    1.6.0           140.633333   \n",
-       "                                                    2.0.0            82.806464   \n",
-       "                           efficientnet_v2_light    1.5.2           133.100000   \n",
-       "                                                    1.6.0           131.633333   \n",
-       "                                                    2.0.0            80.670601   \n",
-       "                           mobilenet_v3_large_light 1.5.2            67.266667   \n",
-       "                                                    1.6.0            65.600000   \n",
-       "                                                    2.0.0            57.999802   \n",
-       "                           otx_deit_tiny            1.5.2            67.833333   \n",
-       "                                                    1.6.0            67.433333   \n",
-       "                                                    2.0.0            52.466776   \n",
-       "\n",
-       "data_group                                                                   \\\n",
-       "metric                                                                        \n",
-       "stat                                                                    std   \n",
-       "task                       model                    otx_version               \n",
-       "classification/h_label_cls all                      1.5.2         96.421135   \n",
-       "                                                    1.6.0         94.870206   \n",
-       "                                                    2.0.0         56.546587   \n",
-       "                           efficientnet_b0_light    1.5.2        127.231145   \n",
-       "                                                    1.6.0        125.654479   \n",
-       "                                                    2.0.0         71.294458   \n",
-       "                           efficientnet_v2_light    1.5.2        113.368845   \n",
-       "                                                    1.6.0        111.014897   \n",
-       "                                                    2.0.0         66.557226   \n",
-       "                           mobilenet_v3_large_light 1.5.2         56.156483   \n",
-       "                                                    1.6.0         53.753392   \n",
-       "                                                    2.0.0         44.262381   \n",
-       "                           otx_deit_tiny            1.5.2         51.349264   \n",
-       "                                                    1.6.0         50.664729   \n",
-       "                                                    2.0.0         39.797654   \n",
-       "\n",
-       "data_group                                                             medium  \\\n",
-       "metric                                                          test/accuracy   \n",
-       "stat                                                                     mean   \n",
-       "task                       model                    otx_version                 \n",
-       "classification/h_label_cls all                      1.5.2            0.297775   \n",
-       "                                                    1.6.0            0.297775   \n",
-       "                                                    2.0.0            0.950094   \n",
-       "                           efficientnet_b0_light    1.5.2            0.302380   \n",
-       "                                                    1.6.0            0.302380   \n",
-       "                                                    2.0.0            0.934620   \n",
-       "                           efficientnet_v2_light    1.5.2            0.344880   \n",
-       "                                                    1.6.0            0.344880   \n",
-       "                                                    2.0.0            0.975566   \n",
-       "                           mobilenet_v3_large_light 1.5.2            0.232920   \n",
-       "                                                    1.6.0            0.232920   \n",
-       "                                                    2.0.0            0.952836   \n",
-       "                           otx_deit_tiny            1.5.2            0.310920   \n",
-       "                                                    1.6.0            0.310920   \n",
-       "                                                    2.0.0            0.937355   \n",
-       "\n",
-       "data_group                                                                 \\\n",
-       "metric                                                                      \n",
-       "stat                                                                  std   \n",
-       "task                       model                    otx_version             \n",
-       "classification/h_label_cls all                      1.5.2        0.045123   \n",
-       "                                                    1.6.0        0.045123   \n",
-       "                                                    2.0.0        0.016881   \n",
-       "                           efficientnet_b0_light    1.5.2        0.016499   \n",
-       "                                                    1.6.0        0.016499   \n",
-       "                                                    2.0.0        0.002132   \n",
-       "                           efficientnet_v2_light    1.5.2        0.008029   \n",
-       "                                                    1.6.0        0.008029   \n",
-       "                                                    2.0.0        0.001911   \n",
-       "                           mobilenet_v3_large_light 1.5.2        0.027346   \n",
-       "                                                    1.6.0        0.027346   \n",
-       "                                                    2.0.0        0.002434   \n",
-       "                           otx_deit_tiny            1.5.2        0.017691   \n",
-       "                                                    1.6.0        0.017691   \n",
-       "                                                    2.0.0        0.004109   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                          train/e2e_time   \n",
-       "stat                                                                      mean   \n",
-       "task                       model                    otx_version                  \n",
-       "classification/h_label_cls all                      1.5.2           182.400000   \n",
-       "                                                    1.6.0           179.600000   \n",
-       "                                                    2.0.0           119.292418   \n",
-       "                           efficientnet_b0_light    1.5.2           260.200000   \n",
-       "                                                    1.6.0           257.800000   \n",
-       "                                                    2.0.0           148.528255   \n",
-       "                           efficientnet_v2_light    1.5.2           238.200000   \n",
-       "                                                    1.6.0           234.600000   \n",
-       "                                                    2.0.0           141.329627   \n",
-       "                           mobilenet_v3_large_light 1.5.2           115.000000   \n",
-       "                                                    1.6.0           111.200000   \n",
-       "                                                    2.0.0            98.739960   \n",
-       "                           otx_deit_tiny            1.5.2           116.200000   \n",
-       "                                                    1.6.0           114.800000   \n",
-       "                                                    2.0.0            88.571830   \n",
-       "\n",
-       "data_group                                                                  \\\n",
-       "metric                                                                       \n",
-       "stat                                                                   std   \n",
-       "task                       model                    otx_version              \n",
-       "classification/h_label_cls all                      1.5.2        74.924804   \n",
-       "                                                    1.6.0        74.564984   \n",
-       "                                                    2.0.0        33.536050   \n",
-       "                           efficientnet_b0_light    1.5.2        35.730939   \n",
-       "                                                    1.6.0        34.708789   \n",
-       "                                                    2.0.0        25.141607   \n",
-       "                           efficientnet_v2_light    1.5.2        36.009721   \n",
-       "                                                    1.6.0        34.896991   \n",
-       "                                                    2.0.0        27.682584   \n",
-       "                           mobilenet_v3_large_light 1.5.2        37.343005   \n",
-       "                                                    1.6.0        36.044417   \n",
-       "                                                    2.0.0        16.043620   \n",
-       "                           otx_deit_tiny            1.5.2         9.093954   \n",
-       "                                                    1.6.0        12.872451   \n",
-       "                                                    2.0.0        17.412057   \n",
-       "\n",
-       "data_group                                                              small  \\\n",
-       "metric                                                          test/accuracy   \n",
-       "stat                                                                     mean   \n",
-       "task                       model                    otx_version                 \n",
-       "classification/h_label_cls all                      1.5.2            0.798170   \n",
-       "                                                    1.6.0            0.798170   \n",
-       "                                                    2.0.0            0.827312   \n",
-       "                           efficientnet_b0_light    1.5.2            0.838420   \n",
-       "                                                    1.6.0            0.838420   \n",
-       "                                                    2.0.0            0.722273   \n",
-       "                           efficientnet_v2_light    1.5.2            0.858780   \n",
-       "                                                    1.6.0            0.858780   \n",
-       "                                                    2.0.0            0.911928   \n",
-       "                           mobilenet_v3_large_light 1.5.2            0.737287   \n",
-       "                                                    1.6.0            0.737287   \n",
-       "                                                    2.0.0            0.846156   \n",
-       "                           otx_deit_tiny            1.5.2            0.758193   \n",
-       "                                                    1.6.0            0.758193   \n",
-       "                                                    2.0.0            0.828889   \n",
-       "\n",
-       "data_group                                                                 \\\n",
-       "metric                                                                      \n",
-       "stat                                                                  std   \n",
-       "task                       model                    otx_version             \n",
-       "classification/h_label_cls all                      1.5.2        0.055746   \n",
-       "                                                    1.6.0        0.055746   \n",
-       "                                                    2.0.0        0.088415   \n",
-       "                           efficientnet_b0_light    1.5.2        0.015653   \n",
-       "                                                    1.6.0        0.015653   \n",
-       "                                                    2.0.0        0.084037   \n",
-       "                           efficientnet_v2_light    1.5.2        0.025031   \n",
-       "                                                    1.6.0        0.025031   \n",
-       "                                                    2.0.0        0.035090   \n",
-       "                           mobilenet_v3_large_light 1.5.2        0.010374   \n",
-       "                                                    1.6.0        0.010374   \n",
-       "                                                    2.0.0        0.027980   \n",
-       "                           otx_deit_tiny            1.5.2        0.023105   \n",
-       "                                                    1.6.0        0.023105   \n",
-       "                                                    2.0.0        0.069764   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                          train/e2e_time   \n",
-       "stat                                                                      mean   \n",
-       "task                       model                    otx_version                  \n",
-       "classification/h_label_cls all                      1.5.2            22.516667   \n",
-       "                                                    1.6.0            23.050000   \n",
-       "                                                    2.0.0            17.679403   \n",
-       "                           efficientnet_b0_light    1.5.2            23.066667   \n",
-       "                                                    1.6.0            23.466667   \n",
-       "                                                    2.0.0            17.084672   \n",
-       "                           efficientnet_v2_light    1.5.2            28.000000   \n",
-       "                                                    1.6.0            28.666667   \n",
-       "                                                    2.0.0            20.011575   \n",
-       "                           mobilenet_v3_large_light 1.5.2            19.533333   \n",
-       "                                                    1.6.0            20.000000   \n",
-       "                                                    2.0.0            17.259643   \n",
-       "                           otx_deit_tiny            1.5.2            19.466667   \n",
-       "                                                    1.6.0            20.066667   \n",
-       "                                                    2.0.0            16.361722   \n",
-       "\n",
-       "data_group                                                                 \n",
-       "metric                                                                     \n",
-       "stat                                                                  std  \n",
-       "task                       model                    otx_version            \n",
-       "classification/h_label_cls all                      1.5.2        3.952163  \n",
-       "                                                    1.6.0        3.947425  \n",
-       "                                                    2.0.0        2.082844  \n",
-       "                           efficientnet_b0_light    1.5.2        0.795822  \n",
-       "                                                    1.6.0        0.767391  \n",
-       "                                                    2.0.0        2.457527  \n",
-       "                           efficientnet_v2_light    1.5.2        2.527625  \n",
-       "                                                    1.6.0        2.560382  \n",
-       "                                                    2.0.0        1.440756  \n",
-       "                           mobilenet_v3_large_light 1.5.2        2.193425  \n",
-       "                                                    1.6.0        1.900292  \n",
-       "                                                    2.0.0        1.143308  \n",
-       "                           otx_deit_tiny            1.5.2        1.282359  \n",
-       "                                                    1.6.0        0.924962  \n",
-       "                                                    2.0.0        1.246098  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/accuracy'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"classification/h_label_cls\"\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
    ]
   },
   {
@@ -3445,781 +176,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">large</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"24\" valign=\"top\">detection</th>\n",
-       "      <th rowspan=\"3\" valign=\"top\">all</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.646148</td>\n",
-       "      <td>0.151737</td>\n",
-       "      <td>414.971429</td>\n",
-       "      <td>364.445370</td>\n",
-       "      <td>0.780560</td>\n",
-       "      <td>0.037109</td>\n",
-       "      <td>702.800000</td>\n",
-       "      <td>372.030027</td>\n",
-       "      <td>0.702289</td>\n",
-       "      <td>0.044718</td>\n",
-       "      <td>473.514286</td>\n",
-       "      <td>234.769520</td>\n",
-       "      <td>0.455596</td>\n",
-       "      <td>0.088486</td>\n",
-       "      <td>68.600000</td>\n",
-       "      <td>20.962120</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.645442</td>\n",
-       "      <td>0.155769</td>\n",
-       "      <td>425.749206</td>\n",
-       "      <td>370.363152</td>\n",
-       "      <td>0.783860</td>\n",
-       "      <td>0.039850</td>\n",
-       "      <td>709.628571</td>\n",
-       "      <td>381.667401</td>\n",
-       "      <td>0.700700</td>\n",
-       "      <td>0.048990</td>\n",
-       "      <td>493.857143</td>\n",
-       "      <td>240.547066</td>\n",
-       "      <td>0.451767</td>\n",
-       "      <td>0.093551</td>\n",
-       "      <td>73.761905</td>\n",
-       "      <td>27.759391</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.640367</td>\n",
-       "      <td>0.145438</td>\n",
-       "      <td>320.884687</td>\n",
-       "      <td>316.474036</td>\n",
-       "      <td>0.764238</td>\n",
-       "      <td>0.044987</td>\n",
-       "      <td>545.454944</td>\n",
-       "      <td>357.499749</td>\n",
-       "      <td>0.707728</td>\n",
-       "      <td>0.041834</td>\n",
-       "      <td>356.337517</td>\n",
-       "      <td>235.282392</td>\n",
-       "      <td>0.449135</td>\n",
-       "      <td>0.053057</td>\n",
-       "      <td>60.861600</td>\n",
-       "      <td>19.635103</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">atss_mobilenetv2</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.693316</td>\n",
-       "      <td>0.112971</td>\n",
-       "      <td>255.000000</td>\n",
-       "      <td>164.607084</td>\n",
-       "      <td>0.803640</td>\n",
-       "      <td>0.010271</td>\n",
-       "      <td>425.000000</td>\n",
-       "      <td>58.800510</td>\n",
-       "      <td>0.729160</td>\n",
-       "      <td>0.020315</td>\n",
-       "      <td>285.400000</td>\n",
-       "      <td>62.026607</td>\n",
-       "      <td>0.547147</td>\n",
-       "      <td>0.024960</td>\n",
-       "      <td>54.600000</td>\n",
-       "      <td>7.001587</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.692077</td>\n",
-       "      <td>0.114888</td>\n",
-       "      <td>260.544444</td>\n",
-       "      <td>165.487765</td>\n",
-       "      <td>0.803640</td>\n",
-       "      <td>0.010271</td>\n",
-       "      <td>430.200000</td>\n",
-       "      <td>61.953208</td>\n",
-       "      <td>0.729160</td>\n",
-       "      <td>0.020315</td>\n",
-       "      <td>292.600000</td>\n",
-       "      <td>61.954015</td>\n",
-       "      <td>0.543430</td>\n",
-       "      <td>0.027970</td>\n",
-       "      <td>58.833333</td>\n",
-       "      <td>7.264832</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.646218</td>\n",
-       "      <td>0.124076</td>\n",
-       "      <td>189.398424</td>\n",
-       "      <td>138.524459</td>\n",
-       "      <td>0.762077</td>\n",
-       "      <td>0.004940</td>\n",
-       "      <td>326.545432</td>\n",
-       "      <td>123.943190</td>\n",
-       "      <td>0.692984</td>\n",
-       "      <td>0.025514</td>\n",
-       "      <td>200.972828</td>\n",
-       "      <td>20.864632</td>\n",
-       "      <td>0.483593</td>\n",
-       "      <td>0.025193</td>\n",
-       "      <td>40.677012</td>\n",
-       "      <td>6.138757</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">atss_resnext101</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.711347</td>\n",
-       "      <td>0.113493</td>\n",
-       "      <td>756.244444</td>\n",
-       "      <td>548.130104</td>\n",
-       "      <td>0.828260</td>\n",
-       "      <td>0.003310</td>\n",
-       "      <td>1349.400000</td>\n",
-       "      <td>180.803208</td>\n",
-       "      <td>0.738240</td>\n",
-       "      <td>0.023209</td>\n",
-       "      <td>813.800000</td>\n",
-       "      <td>212.985211</td>\n",
-       "      <td>0.567540</td>\n",
-       "      <td>0.026307</td>\n",
-       "      <td>105.533333</td>\n",
-       "      <td>17.226594</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.711347</td>\n",
-       "      <td>0.113493</td>\n",
-       "      <td>752.533333</td>\n",
-       "      <td>545.061840</td>\n",
-       "      <td>0.828260</td>\n",
-       "      <td>0.003310</td>\n",
-       "      <td>1342.200000</td>\n",
-       "      <td>176.229112</td>\n",
-       "      <td>0.738240</td>\n",
-       "      <td>0.023209</td>\n",
-       "      <td>810.200000</td>\n",
-       "      <td>214.195471</td>\n",
-       "      <td>0.567540</td>\n",
-       "      <td>0.026307</td>\n",
-       "      <td>105.200000</td>\n",
-       "      <td>17.210462</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.680443</td>\n",
-       "      <td>0.133201</td>\n",
-       "      <td>657.814178</td>\n",
-       "      <td>477.601064</td>\n",
-       "      <td>0.787711</td>\n",
-       "      <td>0.008714</td>\n",
-       "      <td>1166.154293</td>\n",
-       "      <td>202.835721</td>\n",
-       "      <td>0.748530</td>\n",
-       "      <td>0.027779</td>\n",
-       "      <td>722.139521</td>\n",
-       "      <td>137.736738</td>\n",
-       "      <td>0.505086</td>\n",
-       "      <td>0.051336</td>\n",
-       "      <td>85.148720</td>\n",
-       "      <td>11.381656</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">ssd_mobilenetv2</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.587847</td>\n",
-       "      <td>0.121998</td>\n",
-       "      <td>321.200000</td>\n",
-       "      <td>228.072141</td>\n",
-       "      <td>0.703420</td>\n",
-       "      <td>0.015824</td>\n",
-       "      <td>569.000000</td>\n",
-       "      <td>83.800358</td>\n",
-       "      <td>0.630580</td>\n",
-       "      <td>0.031234</td>\n",
-       "      <td>345.600000</td>\n",
-       "      <td>69.973566</td>\n",
-       "      <td>0.429540</td>\n",
-       "      <td>0.023680</td>\n",
-       "      <td>49.000000</td>\n",
-       "      <td>4.904646</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.586704</td>\n",
-       "      <td>0.123604</td>\n",
-       "      <td>326.855556</td>\n",
-       "      <td>232.393557</td>\n",
-       "      <td>0.703420</td>\n",
-       "      <td>0.015824</td>\n",
-       "      <td>577.200000</td>\n",
-       "      <td>90.921395</td>\n",
-       "      <td>0.630580</td>\n",
-       "      <td>0.031234</td>\n",
-       "      <td>354.800000</td>\n",
-       "      <td>67.762084</td>\n",
-       "      <td>0.426113</td>\n",
-       "      <td>0.023997</td>\n",
-       "      <td>48.566667</td>\n",
-       "      <td>6.546415</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.581650</td>\n",
-       "      <td>0.111144</td>\n",
-       "      <td>171.919456</td>\n",
-       "      <td>117.138859</td>\n",
-       "      <td>0.680793</td>\n",
-       "      <td>0.011728</td>\n",
-       "      <td>288.977828</td>\n",
-       "      <td>108.239666</td>\n",
-       "      <td>0.627805</td>\n",
-       "      <td>0.020293</td>\n",
-       "      <td>176.217969</td>\n",
-       "      <td>26.170333</td>\n",
-       "      <td>0.436353</td>\n",
-       "      <td>0.036705</td>\n",
-       "      <td>50.562570</td>\n",
-       "      <td>7.986865</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">yolox_l</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.636571</td>\n",
-       "      <td>0.159828</td>\n",
-       "      <td>301.288889</td>\n",
-       "      <td>197.857327</td>\n",
-       "      <td>0.784240</td>\n",
-       "      <td>0.008013</td>\n",
-       "      <td>402.600000</td>\n",
-       "      <td>103.693298</td>\n",
-       "      <td>0.699900</td>\n",
-       "      <td>0.017446</td>\n",
-       "      <td>434.800000</td>\n",
-       "      <td>148.952006</td>\n",
-       "      <td>0.425573</td>\n",
-       "      <td>0.033439</td>\n",
-       "      <td>66.466667</td>\n",
-       "      <td>6.247666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.636998</td>\n",
-       "      <td>0.171286</td>\n",
-       "      <td>374.755556</td>\n",
-       "      <td>260.080985</td>\n",
-       "      <td>0.805980</td>\n",
-       "      <td>0.023318</td>\n",
-       "      <td>640.800000</td>\n",
-       "      <td>142.127408</td>\n",
-       "      <td>0.690800</td>\n",
-       "      <td>0.024343</td>\n",
-       "      <td>420.400000</td>\n",
-       "      <td>63.445252</td>\n",
-       "      <td>0.414213</td>\n",
-       "      <td>0.014008</td>\n",
-       "      <td>63.066667</td>\n",
-       "      <td>2.373464</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.656513</td>\n",
-       "      <td>0.162161</td>\n",
-       "      <td>305.146446</td>\n",
-       "      <td>195.668651</td>\n",
-       "      <td>0.790540</td>\n",
-       "      <td>0.021096</td>\n",
-       "      <td>475.865134</td>\n",
-       "      <td>136.875702</td>\n",
-       "      <td>0.739674</td>\n",
-       "      <td>0.012410</td>\n",
-       "      <td>369.557127</td>\n",
-       "      <td>66.596381</td>\n",
-       "      <td>0.439326</td>\n",
-       "      <td>0.037095</td>\n",
-       "      <td>70.017077</td>\n",
-       "      <td>10.366041</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">yolox_s</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.595736</td>\n",
-       "      <td>0.205890</td>\n",
-       "      <td>378.333333</td>\n",
-       "      <td>253.261299</td>\n",
-       "      <td>0.776840</td>\n",
-       "      <td>0.012777</td>\n",
-       "      <td>644.400000</td>\n",
-       "      <td>101.028709</td>\n",
-       "      <td>0.684160</td>\n",
-       "      <td>0.040465</td>\n",
-       "      <td>412.600000</td>\n",
-       "      <td>107.211473</td>\n",
-       "      <td>0.326207</td>\n",
-       "      <td>0.070621</td>\n",
-       "      <td>78.000000</td>\n",
-       "      <td>9.282600</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.586278</td>\n",
-       "      <td>0.217885</td>\n",
-       "      <td>333.266667</td>\n",
-       "      <td>198.757617</td>\n",
-       "      <td>0.786660</td>\n",
-       "      <td>0.014154</td>\n",
-       "      <td>471.200000</td>\n",
-       "      <td>153.677259</td>\n",
-       "      <td>0.665840</td>\n",
-       "      <td>0.045068</td>\n",
-       "      <td>437.200000</td>\n",
-       "      <td>56.166716</td>\n",
-       "      <td>0.306333</td>\n",
-       "      <td>0.088669</td>\n",
-       "      <td>91.400000</td>\n",
-       "      <td>32.948950</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.623249</td>\n",
-       "      <td>0.171873</td>\n",
-       "      <td>221.337966</td>\n",
-       "      <td>137.198469</td>\n",
-       "      <td>0.765903</td>\n",
-       "      <td>0.016000</td>\n",
-       "      <td>379.690678</td>\n",
-       "      <td>62.486506</td>\n",
-       "      <td>0.704162</td>\n",
-       "      <td>0.007994</td>\n",
-       "      <td>215.225053</td>\n",
-       "      <td>39.447141</td>\n",
-       "      <td>0.399683</td>\n",
-       "      <td>0.083497</td>\n",
-       "      <td>69.098166</td>\n",
-       "      <td>7.677714</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">yolox_tiny</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.670356</td>\n",
-       "      <td>0.129362</td>\n",
-       "      <td>251.400000</td>\n",
-       "      <td>173.851387</td>\n",
-       "      <td>0.778620</td>\n",
-       "      <td>0.004351</td>\n",
-       "      <td>409.000000</td>\n",
-       "      <td>129.871090</td>\n",
-       "      <td>0.734940</td>\n",
-       "      <td>0.018987</td>\n",
-       "      <td>295.800000</td>\n",
-       "      <td>65.967416</td>\n",
-       "      <td>0.497507</td>\n",
-       "      <td>0.031305</td>\n",
-       "      <td>49.400000</td>\n",
-       "      <td>7.103989</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.670356</td>\n",
-       "      <td>0.129362</td>\n",
-       "      <td>254.822222</td>\n",
-       "      <td>175.944700</td>\n",
-       "      <td>0.778620</td>\n",
-       "      <td>0.004351</td>\n",
-       "      <td>413.600000</td>\n",
-       "      <td>133.853651</td>\n",
-       "      <td>0.734940</td>\n",
-       "      <td>0.018987</td>\n",
-       "      <td>299.800000</td>\n",
-       "      <td>66.664833</td>\n",
-       "      <td>0.497507</td>\n",
-       "      <td>0.031305</td>\n",
-       "      <td>51.066667</td>\n",
-       "      <td>7.052974</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.628889</td>\n",
-       "      <td>0.141061</td>\n",
-       "      <td>140.383476</td>\n",
-       "      <td>89.379050</td>\n",
-       "      <td>0.736468</td>\n",
-       "      <td>0.010680</td>\n",
-       "      <td>239.456863</td>\n",
-       "      <td>24.005475</td>\n",
-       "      <td>0.712458</td>\n",
-       "      <td>0.015066</td>\n",
-       "      <td>147.595711</td>\n",
-       "      <td>30.258137</td>\n",
-       "      <td>0.437742</td>\n",
-       "      <td>0.020866</td>\n",
-       "      <td>34.097855</td>\n",
-       "      <td>3.619571</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">yolox_x</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.627867</td>\n",
-       "      <td>0.177350</td>\n",
-       "      <td>641.333333</td>\n",
-       "      <td>461.645023</td>\n",
-       "      <td>0.788900</td>\n",
-       "      <td>0.004235</td>\n",
-       "      <td>1120.200000</td>\n",
-       "      <td>106.818538</td>\n",
-       "      <td>0.699040</td>\n",
-       "      <td>0.045370</td>\n",
-       "      <td>726.600000</td>\n",
-       "      <td>202.160332</td>\n",
-       "      <td>0.395660</td>\n",
-       "      <td>0.043156</td>\n",
-       "      <td>77.200000</td>\n",
-       "      <td>9.476872</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.634338</td>\n",
-       "      <td>0.173313</td>\n",
-       "      <td>677.466667</td>\n",
-       "      <td>486.932703</td>\n",
-       "      <td>0.780440</td>\n",
-       "      <td>0.025617</td>\n",
-       "      <td>1092.200000</td>\n",
-       "      <td>379.631664</td>\n",
-       "      <td>0.715340</td>\n",
-       "      <td>0.056516</td>\n",
-       "      <td>842.000000</td>\n",
-       "      <td>129.125908</td>\n",
-       "      <td>0.407233</td>\n",
-       "      <td>0.043885</td>\n",
-       "      <td>98.200000</td>\n",
-       "      <td>28.060055</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.665605</td>\n",
-       "      <td>0.170403</td>\n",
-       "      <td>560.192863</td>\n",
-       "      <td>383.176243</td>\n",
-       "      <td>0.826176</td>\n",
-       "      <td>0.011118</td>\n",
-       "      <td>941.494380</td>\n",
-       "      <td>133.043389</td>\n",
-       "      <td>0.728480</td>\n",
-       "      <td>0.020033</td>\n",
-       "      <td>662.654411</td>\n",
-       "      <td>93.216043</td>\n",
-       "      <td>0.442159</td>\n",
-       "      <td>0.039055</td>\n",
-       "      <td>76.429799</td>\n",
-       "      <td>9.972150</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                       all                           \\\n",
-       "metric                                 test/f1-score           train/e2e_time   \n",
-       "stat                                            mean       std           mean   \n",
-       "task      model            otx_version                                          \n",
-       "detection all              1.5.2            0.646148  0.151737     414.971429   \n",
-       "                           1.6.0            0.645442  0.155769     425.749206   \n",
-       "                           2.0.0            0.640367  0.145438     320.884687   \n",
-       "          atss_mobilenetv2 1.5.2            0.693316  0.112971     255.000000   \n",
-       "                           1.6.0            0.692077  0.114888     260.544444   \n",
-       "                           2.0.0            0.646218  0.124076     189.398424   \n",
-       "          atss_resnext101  1.5.2            0.711347  0.113493     756.244444   \n",
-       "                           1.6.0            0.711347  0.113493     752.533333   \n",
-       "                           2.0.0            0.680443  0.133201     657.814178   \n",
-       "          ssd_mobilenetv2  1.5.2            0.587847  0.121998     321.200000   \n",
-       "                           1.6.0            0.586704  0.123604     326.855556   \n",
-       "                           2.0.0            0.581650  0.111144     171.919456   \n",
-       "          yolox_l          1.5.2            0.636571  0.159828     301.288889   \n",
-       "                           1.6.0            0.636998  0.171286     374.755556   \n",
-       "                           2.0.0            0.656513  0.162161     305.146446   \n",
-       "          yolox_s          1.5.2            0.595736  0.205890     378.333333   \n",
-       "                           1.6.0            0.586278  0.217885     333.266667   \n",
-       "                           2.0.0            0.623249  0.171873     221.337966   \n",
-       "          yolox_tiny       1.5.2            0.670356  0.129362     251.400000   \n",
-       "                           1.6.0            0.670356  0.129362     254.822222   \n",
-       "                           2.0.0            0.628889  0.141061     140.383476   \n",
-       "          yolox_x          1.5.2            0.627867  0.177350     641.333333   \n",
-       "                           1.6.0            0.634338  0.173313     677.466667   \n",
-       "                           2.0.0            0.665605  0.170403     560.192863   \n",
-       "\n",
-       "data_group                                                 large            \\\n",
-       "metric                                             test/f1-score             \n",
-       "stat                                           std          mean       std   \n",
-       "task      model            otx_version                                       \n",
-       "detection all              1.5.2        364.445370      0.780560  0.037109   \n",
-       "                           1.6.0        370.363152      0.783860  0.039850   \n",
-       "                           2.0.0        316.474036      0.764238  0.044987   \n",
-       "          atss_mobilenetv2 1.5.2        164.607084      0.803640  0.010271   \n",
-       "                           1.6.0        165.487765      0.803640  0.010271   \n",
-       "                           2.0.0        138.524459      0.762077  0.004940   \n",
-       "          atss_resnext101  1.5.2        548.130104      0.828260  0.003310   \n",
-       "                           1.6.0        545.061840      0.828260  0.003310   \n",
-       "                           2.0.0        477.601064      0.787711  0.008714   \n",
-       "          ssd_mobilenetv2  1.5.2        228.072141      0.703420  0.015824   \n",
-       "                           1.6.0        232.393557      0.703420  0.015824   \n",
-       "                           2.0.0        117.138859      0.680793  0.011728   \n",
-       "          yolox_l          1.5.2        197.857327      0.784240  0.008013   \n",
-       "                           1.6.0        260.080985      0.805980  0.023318   \n",
-       "                           2.0.0        195.668651      0.790540  0.021096   \n",
-       "          yolox_s          1.5.2        253.261299      0.776840  0.012777   \n",
-       "                           1.6.0        198.757617      0.786660  0.014154   \n",
-       "                           2.0.0        137.198469      0.765903  0.016000   \n",
-       "          yolox_tiny       1.5.2        173.851387      0.778620  0.004351   \n",
-       "                           1.6.0        175.944700      0.778620  0.004351   \n",
-       "                           2.0.0         89.379050      0.736468  0.010680   \n",
-       "          yolox_x          1.5.2        461.645023      0.788900  0.004235   \n",
-       "                           1.6.0        486.932703      0.780440  0.025617   \n",
-       "                           2.0.0        383.176243      0.826176  0.011118   \n",
-       "\n",
-       "data_group                                                         \\\n",
-       "metric                                 train/e2e_time               \n",
-       "stat                                             mean         std   \n",
-       "task      model            otx_version                              \n",
-       "detection all              1.5.2           702.800000  372.030027   \n",
-       "                           1.6.0           709.628571  381.667401   \n",
-       "                           2.0.0           545.454944  357.499749   \n",
-       "          atss_mobilenetv2 1.5.2           425.000000   58.800510   \n",
-       "                           1.6.0           430.200000   61.953208   \n",
-       "                           2.0.0           326.545432  123.943190   \n",
-       "          atss_resnext101  1.5.2          1349.400000  180.803208   \n",
-       "                           1.6.0          1342.200000  176.229112   \n",
-       "                           2.0.0          1166.154293  202.835721   \n",
-       "          ssd_mobilenetv2  1.5.2           569.000000   83.800358   \n",
-       "                           1.6.0           577.200000   90.921395   \n",
-       "                           2.0.0           288.977828  108.239666   \n",
-       "          yolox_l          1.5.2           402.600000  103.693298   \n",
-       "                           1.6.0           640.800000  142.127408   \n",
-       "                           2.0.0           475.865134  136.875702   \n",
-       "          yolox_s          1.5.2           644.400000  101.028709   \n",
-       "                           1.6.0           471.200000  153.677259   \n",
-       "                           2.0.0           379.690678   62.486506   \n",
-       "          yolox_tiny       1.5.2           409.000000  129.871090   \n",
-       "                           1.6.0           413.600000  133.853651   \n",
-       "                           2.0.0           239.456863   24.005475   \n",
-       "          yolox_x          1.5.2          1120.200000  106.818538   \n",
-       "                           1.6.0          1092.200000  379.631664   \n",
-       "                           2.0.0           941.494380  133.043389   \n",
-       "\n",
-       "data_group                                    medium                           \\\n",
-       "metric                                 test/f1-score           train/e2e_time   \n",
-       "stat                                            mean       std           mean   \n",
-       "task      model            otx_version                                          \n",
-       "detection all              1.5.2            0.702289  0.044718     473.514286   \n",
-       "                           1.6.0            0.700700  0.048990     493.857143   \n",
-       "                           2.0.0            0.707728  0.041834     356.337517   \n",
-       "          atss_mobilenetv2 1.5.2            0.729160  0.020315     285.400000   \n",
-       "                           1.6.0            0.729160  0.020315     292.600000   \n",
-       "                           2.0.0            0.692984  0.025514     200.972828   \n",
-       "          atss_resnext101  1.5.2            0.738240  0.023209     813.800000   \n",
-       "                           1.6.0            0.738240  0.023209     810.200000   \n",
-       "                           2.0.0            0.748530  0.027779     722.139521   \n",
-       "          ssd_mobilenetv2  1.5.2            0.630580  0.031234     345.600000   \n",
-       "                           1.6.0            0.630580  0.031234     354.800000   \n",
-       "                           2.0.0            0.627805  0.020293     176.217969   \n",
-       "          yolox_l          1.5.2            0.699900  0.017446     434.800000   \n",
-       "                           1.6.0            0.690800  0.024343     420.400000   \n",
-       "                           2.0.0            0.739674  0.012410     369.557127   \n",
-       "          yolox_s          1.5.2            0.684160  0.040465     412.600000   \n",
-       "                           1.6.0            0.665840  0.045068     437.200000   \n",
-       "                           2.0.0            0.704162  0.007994     215.225053   \n",
-       "          yolox_tiny       1.5.2            0.734940  0.018987     295.800000   \n",
-       "                           1.6.0            0.734940  0.018987     299.800000   \n",
-       "                           2.0.0            0.712458  0.015066     147.595711   \n",
-       "          yolox_x          1.5.2            0.699040  0.045370     726.600000   \n",
-       "                           1.6.0            0.715340  0.056516     842.000000   \n",
-       "                           2.0.0            0.728480  0.020033     662.654411   \n",
-       "\n",
-       "data_group                                                 small            \\\n",
-       "metric                                             test/f1-score             \n",
-       "stat                                           std          mean       std   \n",
-       "task      model            otx_version                                       \n",
-       "detection all              1.5.2        234.769520      0.455596  0.088486   \n",
-       "                           1.6.0        240.547066      0.451767  0.093551   \n",
-       "                           2.0.0        235.282392      0.449135  0.053057   \n",
-       "          atss_mobilenetv2 1.5.2         62.026607      0.547147  0.024960   \n",
-       "                           1.6.0         61.954015      0.543430  0.027970   \n",
-       "                           2.0.0         20.864632      0.483593  0.025193   \n",
-       "          atss_resnext101  1.5.2        212.985211      0.567540  0.026307   \n",
-       "                           1.6.0        214.195471      0.567540  0.026307   \n",
-       "                           2.0.0        137.736738      0.505086  0.051336   \n",
-       "          ssd_mobilenetv2  1.5.2         69.973566      0.429540  0.023680   \n",
-       "                           1.6.0         67.762084      0.426113  0.023997   \n",
-       "                           2.0.0         26.170333      0.436353  0.036705   \n",
-       "          yolox_l          1.5.2        148.952006      0.425573  0.033439   \n",
-       "                           1.6.0         63.445252      0.414213  0.014008   \n",
-       "                           2.0.0         66.596381      0.439326  0.037095   \n",
-       "          yolox_s          1.5.2        107.211473      0.326207  0.070621   \n",
-       "                           1.6.0         56.166716      0.306333  0.088669   \n",
-       "                           2.0.0         39.447141      0.399683  0.083497   \n",
-       "          yolox_tiny       1.5.2         65.967416      0.497507  0.031305   \n",
-       "                           1.6.0         66.664833      0.497507  0.031305   \n",
-       "                           2.0.0         30.258137      0.437742  0.020866   \n",
-       "          yolox_x          1.5.2        202.160332      0.395660  0.043156   \n",
-       "                           1.6.0        129.125908      0.407233  0.043885   \n",
-       "                           2.0.0         93.216043      0.442159  0.039055   \n",
-       "\n",
-       "data_group                                                        \n",
-       "metric                                 train/e2e_time             \n",
-       "stat                                             mean        std  \n",
-       "task      model            otx_version                            \n",
-       "detection all              1.5.2            68.600000  20.962120  \n",
-       "                           1.6.0            73.761905  27.759391  \n",
-       "                           2.0.0            60.861600  19.635103  \n",
-       "          atss_mobilenetv2 1.5.2            54.600000   7.001587  \n",
-       "                           1.6.0            58.833333   7.264832  \n",
-       "                           2.0.0            40.677012   6.138757  \n",
-       "          atss_resnext101  1.5.2           105.533333  17.226594  \n",
-       "                           1.6.0           105.200000  17.210462  \n",
-       "                           2.0.0            85.148720  11.381656  \n",
-       "          ssd_mobilenetv2  1.5.2            49.000000   4.904646  \n",
-       "                           1.6.0            48.566667   6.546415  \n",
-       "                           2.0.0            50.562570   7.986865  \n",
-       "          yolox_l          1.5.2            66.466667   6.247666  \n",
-       "                           1.6.0            63.066667   2.373464  \n",
-       "                           2.0.0            70.017077  10.366041  \n",
-       "          yolox_s          1.5.2            78.000000   9.282600  \n",
-       "                           1.6.0            91.400000  32.948950  \n",
-       "                           2.0.0            69.098166   7.677714  \n",
-       "          yolox_tiny       1.5.2            49.400000   7.103989  \n",
-       "                           1.6.0            51.066667   7.052974  \n",
-       "                           2.0.0            34.097855   3.619571  \n",
-       "          yolox_x          1.5.2            77.200000   9.476872  \n",
-       "                           1.6.0            98.200000  28.060055  \n",
-       "                           2.0.0            76.429799   9.972150  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/f1-score'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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BgQGenp5s375de3327NnIZDKdo169ejp1ZGVlMXHiRGxsbDA1NaVfv37cunXreZr/38lkmrTtp7GoWWknCT+59L5MJtM59zCAUatLZpJqeno6CoWC06dPc+7cOe0RHh7O4sWLS+QeQhUjV2jStgF48t/Zg8cv/whvHoSJJ6Dde2DhAjn34NzvsKo3LGoIe2bBrbCybLkgCKWo2EHN2rVrmTp1KrNmzeLMmTP4+vrSrVs3bt++XWD5nJwcunTpQkxMDOvXryciIoIVK1bg7OysU65BgwbEx8drj8OHD+tcnzJlCv/++y/r1q3jwIEDxMXF0bdv3+I2v+QYWYKVu6ZH5nFyfc35arJOjbe3N0ePHuXxUcwjR45gZmZGzZo18fDwQF9fn+PHj2uvJycnc/nyZe3jJk2aoFKpuH37NnXq1NE5HBwcyvT1CJVI/Zdh4Gowd9Q9b+6kOf9wnRpbL+j8KUwOhVHboekIMLDQzMk5sgiWtIalbSH4B7iXUOYvQxCEklPs4aeFCxcybtw4Ro8eDcDSpUvZtm0bv/76KzNnzsxX/tdffyUpKYng4GDtb/tubm75G6KnV+gXWGpqKv/73/9Ys2YNnTp1AiAgIABvb2+OHTtGq1ativsySoaRJRhaVOsVhd966y0WLVrE22+/zaRJk4iIiGDWrFlMnToVuVyOqakpY8aMYdq0adjY2GBnZ8dHH32E/LFuf09PT4YOHcqIESNYsGABTZo0ITExkb179+Lj48NLL71Ujq9QqNDqv6xJ2y7KisJyObj5aY4e8yFyF4SshcjdkHBec+z5FNzbg+8gqNcLDCrnELIgVFfFCmpycnI4ffo0H3zwgfacXC7H39+fo0ePFvicLVu20Lp1ayZOnMjmzZuxtbVlyJAhzJgxA4Xi0Q+eyMhInJycMDQ0pHXr1sybN49atWoBcPr0aXJzc/H399eWr1evHrVq1eLo0aMFBjXZ2dlkZ2drH6elpRXnpRadTFbpJgOXJGdnZ7Zv3860adPw9fXF2tqaMWPG8PHHH2vLzJ8/n/T0dHr37o2ZmRnvvfceqampOvUEBATwxRdf8N5773Hz5k1q1KhBq1at6NWriJNBhepLrih+2ra+oWZuTf1XIDMJLm7QBDg3TsCV/ZpD31gT2Pi8BrU7gEJMQRSEiq5Y2U9xcXE4OzsTHBxM69atteenT5/OgQMHdIYYHqpXrx4xMTEMHTqUt956i6ioKN566y3eeecdZs2aBcCOHTtIT0/Hy8uL+Ph45syZw82bN7lw4QJmZmasWbOG0aNH6wQpAC1atKBjx458/fXX+e47e/Zs5syZk+98iWQ/CUI5Ep/XUpR0BULXQehfmj8/ZGIHjfprAhxH32rVGysI5a1CZT+p1Wrs7OxYvnw5CoWCZs2acfPmTebPn68Nanr06KEt7+PjQ8uWLXF1deXvv/9mzJgxz3XfDz74gKlTp2ofp6Wl4eLi8t9ejCAIVZt1begwA9pPh5unIeQvuPAPZNyGYz9rjhpemuypRgPAslZ5t1gQhMcUK6ipUaMGCoUiX9bRrVu3Cp0P4+joiL6+vs5Qk7e3NwkJCeTk5KBUKvM9x9LSEk9PT6KiNGvBODg4kJOTQ0pKCpaWlkW6r4GBAQYGBsV5eYIgCBoyGdR8QXN0mwvReyF0LVzaDnciYO9nmsO1rWb9m/qvVJvkAEGoyIqV/aRUKmnWrBl79+7VnlOr1ezdu1dnOOpxfn5+REVF6aT/Xr58GUdHxwIDGtCk+EZHR+PoqMlqaNasGfr6+jr3jYiIIDY2ttD7CoIglAg9JXj1gAErYVqkJlXc7cEcnmuH4d934FtPzSaal7ZDXk65NlcQqrNip3RPnTqVFStWsGrVKsLDw5kwYQIZGRnabKgRI0boTCSeMGECSUlJTJ48mcuXL7Nt2zbmzp3LxIkTtWXef/99Dhw4QExMDMHBwbz66qsoFAoGDx4MgIWFBWPGjGHq1Kns37+f06dPM3r0aFq3bl1+mU+CIFQ/hhbQdDiM2grvXoDOs8C2HqiyIWwz/DUYFnjBtvc0G45WjwXbBaHCKPacmtdee43ExEQ+/fRTEhISaNy4MTt37tSuMhsbG6uTruvi4sKuXbuYMmUKPj4+ODs7M3nyZGbMmKEtc+PGDQYPHszdu3extbWlbdu2HDt2DFtbW22Z7777DrlcTr9+/cjOzqZbt278/PPP/+W1C4IgPD9LF2g3FdpOgYRQCP0bzq/TpJaf/EVzWLlrJhf7DAQbj/JusSBUeWLvJ0Q2iVC5iM9rBabKg6sHNPNvwv+F3MxH12o21wQ4DfqCidj+QxCKqkJlPwmCIFQbCj2o01lzZKfDpW2aAOfKfrhxUnPsnAl1u2p6bzx7aNbMEQShRIigRhAEoTQYmGpSv31f02y/cOEfTYp4QihEbNccBuYPNtgcBLXaiA02BeE/EkGNIAhCaTNzgNYTNcftcE3vTeg6SLsBZ3/THBYumrVvfF4Du3rPrlMQhHzErwVChbZy5UqdtYkKMnv2bBo3bqx9PGrUKPr06VOq7RKE52bnDf6z4d3zMHIrNBmu6bFJvQ6HF8LPLWHZi3D0J7h365nVCYLwiAhqSphKLXE0+i6bz93kaPRdVOrym4cdExODTCbj3Llz5daGsvD+++/rrGFUXmQyGZs2bSrWc0JCQhg8eDAuLi4YGRnh7e3N4sWLS6eBQsUil2v2rHrlR3j/smYdHM8eINeD+BDY9SEsrAe/9dVkVuVklHeLBaHCE8NPJWjnhXjm/BtGfGqW9pyjhSGzetene0PHcmxZ1WZqaoqpaeXcTfn06dPY2dnx+++/4+LiQnBwMOPHj0ehUDBp0qTybp5QVvSNoMGrmiPjrmaDzdC1monF0Xs1h74JePfWTDCu3aHgncgFoZoTPTUlZOeFeCb8fkYnoAFISM1iwu9n2HkhvnTuu3Mnbdu2xdLSEhsbG3r16kV0dDQA7u7uADRp0gSZTEaHDh0ACAoKokWLFpiYmGBpaYmfnx/Xrl0DND0HHTt2xMzMDHNzc5o1a8apU6ee2Y6Hw0Rbt27Fy8sLY2Nj+vfvT2ZmJqtWrcLNzQ0rKyveeecdVCqV9nnJycmMGDECKysrjI2N6dGjB5GRkfnq37RpE3Xr1sXQ0JBu3bpx/fp17bUnh5+epFarmTdvHu7u7hgZGeHr68v69eu114OCgpDJZOzdu5cXXngBY2Nj2rRpQ0REhE49mzdvpmnTphgaGlK7dm3mzJlDXl4eAG5ubgC8+uqryGQy3NzcuHz5MjKZjEuXLunU89133+HhoVmz5PXXX2fx4sW0b9+e2rVrM2zYMEaPHs2GDRue+Z4LVZSJDbQYB2MD4e0z0H6mZr2b3AzNRpu/94WF9WHXRxAfKhb4E4THiKCmEJIkkZmTV6TjXlYus7ZcpKAfLQ/Pzd4Sxr2s3CLVV5ylgzIyMpg6dSqnTp1i7969yOVyXn31VdRqNSdOnAAgMDCQ+Ph4NmzYQF5eHn369KF9+/aEhoZy9OhRxo8fj+zBrsNDhw6lZs2anDx5ktOnTzNz5kz09fWL1JbMzEy+//57/vrrL3bu3ElQUBCvvvoq27dvZ/v27fz2228sW7ZMJ6AYNWoUp06dYsuWLRw9ehRJkujZsye5ubk69X755ZesXr2aI0eOkJKSwqBBg4r8Hs2bN4/Vq1ezdOlSLl68yJQpUxg2bBgHDhzQKffRRx+xYMECTp06hZ6eHq+//rr22qFDhxgxYgSTJ08mLCyMZcuWsXLlSr788ksATp48CUBAQADx8fGcPHkST09PXnjhBf744w+d+/zxxx8MGTKk0PampqZibW1d5NcnVGE2HtDxA3jnLIzZAy+MASMrSE+Aoz/Csnbwc2s4/B2k3ijv1gpCuRPDT4W4n6ui/qe7SqQuCUhIy6LR7N1FKh/2WTeMlUX7q+nXr5/O419//RVbW1vCwsK0KzLb2NhoN/5MSkoiNTWVXr16aXsLvL29tc+PjY1l2rRp1Kunyb6oW7dukdoBkJuby5IlS7T19u/fn99++41bt25hampK/fr16dixI/v37+e1114jMjKSLVu2cOTIEdq0aQNovvBdXFzYtGkTAwYM0Nb7448/0rJlSwBWrVqFt7c3J06coEWLFk9tU3Z2NnPnziUwMFC7T1jt2rU5fPgwy5Yto3379tqyX375pfbxzJkzeemll8jKysLQ0JA5c+Ywc+ZMRo4cqa3j888/Z/r06cyaNUv7XltaWupssjp06FB+/PFHPv/8c0Cz79np06f5/fffC2xvcHAwa9euZdu2bUV+34VqQCYDlxaao/tXELVHMzwVsRMSwyFwNgTOAbe2muyp+i9rtnQQhGpG9NRUcpGRkQwePJjatWtjbm6uHQaJjY0tsLy1tTWjRo2iW7du9O7dm8WLFxMf/2hobOrUqYwdOxZ/f3+++uor7VBWURgbG2sDGgB7e3vc3Nx05rvY29tz+/ZtAMLDw9HT09MGK6AJwLy8vAgPD9ee09PTo3nz5trH9erVw9LSUqdMYaKiosjMzKRLly7auTempqasXr0632vz8fHR/vnhZqoP2xoSEsJnn32mU8e4ceOIj48nMzOTwgwaNIiYmBiOHTsGaIK2pk2baoPGx124cIFXXnmFWbNm0bVr12e+NqGa0lNCvZdg4GrNBOPe34OrHyBBzCHYMkmzwea6UZqgR5X7rBoFocoQPTWFMNJXEPZZtyKVPXE1iVEBJ59ZbuXo5rRwf/awgpF+0ScA9u7dG1dXV1asWIGTkxNqtZqGDRuSk1P4TsEBAQG888477Ny5k7Vr1/Lxxx+zZ88eWrVqxezZsxkyZAjbtm1jx44dzJo1i7/++otXX331mW15cphKJpMVeO7xHdtLW3p6OgDbtm3D2dlZ55qBgYHO48fb+nA47mFb09PTmTNnDn379s13j6dtVeDg4ECnTp1Ys2YNrVq1Ys2aNUyYMCFfubCwMDp37sz48eP5+OOPi/jqhGrPyBKajdQcKbGaLKnQtXDnMlzcqDmMbaBhP00PjnMzTa+PIFRRIqgphEwmK/IQULu6tjhaGJKQmlXgvBoZ4GBhSLu6tijkJfcD5e7du0RERLBixQratWsHwOHDh7XXlUolgM7E3IeaNGlCkyZN+OCDD2jdurX2SxfA09MTT09PpkyZwuDBgwkICChSUFNc3t7e5OXlcfz4ce3w08PXVL9+fW25vLw8Tp06pR1qioiIICUlRWfYrDD169fHwMCA2NhYnaGm4mratCkRERHUqVOn0DL6+voFvtdDhw5l+vTpDB48mCtXruSbD3Tx4kU6derEyJEjtXN0BKHYLGvBi+9Du/cg/tyDDTbXQ8ZtOLFcc1h7PNpg09q9vFssCCVOBDUlQCGXMat3fSb8fgYZ6AQ2D0OYWb3rl2hAA2BlZYWNjQ3Lly/H0dGR2NhYZs6cqb1uZ2eHkZERO3fupGbNmhgaGpKUlMTy5ct5+eWXcXJyIiIigsjISEaMGMH9+/eZNm0a/fv3x93dnRs3bnDy5Ml883ZKSt26dXnllVcYN24cy5Ytw8zMjJkzZ+Ls7Mwrr7yiLaevr8/bb7/N999/j56eHpMmTaJVq1bPnE8DYGZmxvvvv8+UKVNQq9W0bduW1NRUjhw5grm5uXaOzLN8+umn9OrVi1q1atG/f3/kcjkhISFcuHCBL774AtBkQO3duxc/Pz8MDAywsrICoG/fvkyYMIEJEybQsWNHnJyctPVeuHCBTp060a1bN6ZOnUpCQgIACoVCZ5d6oXAqtcSJq0ncvpeFnZkhLdytS/zfWqUik4FTE83R5XO4EqTJmgrfCknREDRXc7i0fLDB5qtgLCamC1WDmFNTQro3dGTJsKY4WOgORThYGLJkWNNSWadGLpfz119/cfr0aRo2bMiUKVOYP3++9rqenh7ff/89y5Ytw8nJiVdeeQVjY2MuXbpEv3798PT0ZPz48UycOJE33ngDhULB3bt3GTFiBJ6engwcOJAePXowZ86cEm/7QwEBATRr1oxevXrRunVrJEli+/btOkNBxsbGzJgxgyFDhuDn54epqSlr164t8j0+//xzPvnkE+bNm4e3tzfdu3dn27Zt2pT3oujWrRtbt25l9+7dNG/enFatWvHdd9/h6uqqLbNgwQL27NmDi4sLTZo00Z43MzOjd+/ehISEMHToUJ16169fT2JiIr///juOjo7a4/E5RELhdl6Ip+3X+xi84hiT/zrH4BXHaPv1vlJbQqHSUehBXX/o9wtMi4Q+S6F2R5DJ4fpx2DZVM//mr6EQthnyssu7xYLwn8ik4uQPV2JP27o8KyuLq1ev4u7u/tT5EUUhfmsUSltJfl4rs4drQz35A+zhv7bS+mWiSkiLhwvrIWQt3Dr/6LyhBdTvo9lg06WV2GBTqBCe9v39JDH8VMIUchmtPWzKuxmCUKGp1BK5KjW5KjV5qgd/VkvkPTiXq5LIU0nkqNTkqdTkqR/+WVMmK1fF7H/DCl0bSgbM+TeMLvUdxC8VBTF3hDZva45bFx9tsHkvDs6s0hwWtTRzb3xeA1vP8m6xIBSJCGr+I0mSyMhWkadWoyeXY2Kg0GbOVCU9evTg0KFDBV778MMP+fDDD8u4RdWbJEF2ropccp8rKND+Wa0m58G5R+Ufnn+8vPREPQWVf1SPpj2P/Vn1sG0SuWp1qS+CKwHxqVmcuJokfsl4FvsG0OUz6DwLYg5rJhiHbYbUWDj0reZwaqIJbhr2A1O78m6xIBRKDD/x/N35qfdziEvJIlf1KEVZXyHHydIQCyNlibW9Irh58yb3798v8Jq1tXWlWwFXkiQkCSQe/h/dx09cQ5JQA0gPnvtk+YePC70mab/I1Q/+IEm6f9aWe0Zb1LnZ3I67wez9t7l5L3+2VWUkl4GeQo5SIUdPIUNPLkepkKH34LHueTnJmTlE3k5/Zr2zX67PqDYiy6fYcjLh8g7N8FRUIEgPPmcyBXh00gxPefUEpXH5tlOoFsTwUxlIvZ/Dtbv5F13LVam5djcTVxuqVGDz5BovTwYFuSp1pQkKqmIcX9ygQO/BNeWDczplHtYjf6zM4/XIZbr3KrCep933sTJyGfoKebGHiI5G32XwimPPLPfZv2Gcv5HGm+1rU9fe7Hnf3upHaazplWnYDzLuwIV/NENUN09rVjOO2gNKU/B+WTNE5f6i2GBTqBBETw3F76mRJIlLCfd0emiepK+QU8/BrNChqMrcU1AVPzIyAJlMkw4oAxkyZDJNdqz2z2jWL9L8/4k/P3YNGcgf/L3LilxX/mugCVbQuY+M7OwsYmNicHCphYmR0XMFBZWdSi3R9ut9ha4NBaBUyMhRPbrq723PhA4eNHO1KptGVkV3Ih8t8Jdy7dF5M0do1B98BoFDw/Jrn1AlFaenRgQ1FD+oSc/K48qdZ3d96ynkmnVrRFBQoYKCwtpSWYjsJ42H2U9Q8NpQmiUWjFgaFM2usARtUN/CzZoJHTzo4GVbqf7eKxRJ0qSEh/ylWbU4K+XRNbsG4PsaNOwPFs6FViEIRSWCmgKUZFCTkplDbFLh+/08DxEUCEUlgppHdl6IZ86/YcSnZmnPOVoYMqt3fZ107ujEdJYfuMKGszfIfdB7U8/BjDfa16aXjxP6CpG6/NzysiFyt6b35vIuUD3cokWmGZZ6uMGmgRj+E56PCGoKUB49NU6WRpgoFSIoEEqUCGp0FWdtqITULH49cpU/jl0jI0cz+dXZ0ohx7dx5rXktjJRiXsh/cj8ZLm7SBDixRx+d1zOCej01w1MeHUGhX2gVgvAkEdQUoKLNqRGE5yWCmv8uNTOX349fI+DIVe6ka3oWrIz1GdXGnRGtXbEyqTqT/MtNcoxm7ZvQv+Bu1KPzxjUezL8ZCE5NxQabwjOJoKYAJZ3SXVj200OuNsZVKvtJqDhEUFNysnJVrDt9gxUHr2iHlI30FQxq4cLYdrVxtjQq5xZWAZIEcWc1vTfn10PmnUfXbOo+2GBzAFi5lVsThYqtOEGNGEh+ThZGSlxtjPONxevLJGpnnMUiagtcPQTq8ltHJCYmBplMxrlz58qtDZWBTCZj06ZNOufi4+MZMmQInp6eyOVy3n333QKfu27dOurVq4ehoSGNGjVi+/btOtc3bNhA165dsbGxEX8XFZChvoLhrVzZ9157fhjchPqO5tzPVRFwJIb23+znvb9DiLx1r7ybWbnJZODcFHp8De9dgiHrNJOI9YzgbiTs/wIW+8Kv3eFUgGYISxCek1in5j+wMFJibqivXVHYIHIbhns/RJYW96iQuRN0/1ozUa4aUalUyGQy5JV075js7GxsbW35+OOP+e677wosExwczODBg5k3bx69evVizZo19OnThzNnztCwoSatNSMjg7Zt2zJw4EDGjRtXli9BKAY9hZzevk708nHkUOQdlgRFc/TKXf45c4N/ztzA39vuQTp45VpkssJR6INnV82RlQaXtmoyqK4e1MzBiT0KO6aDZzdND07drqBnUN6tFiqRyvmNU4HIZDJMDfWwjNmJ0cbRugENaDaO+3sEhG0plfvv3LmTtm3bYmlpiY2NDb169SI6OhpAuwt1kyZNkMlkdOjQAYCgoCBatGiBiYkJlpaW+Pn5ce2aZs2JkJAQOnbsiJmZGebm5jRr1oxTp049sx0rV67E0tKSLVu2UL9+fQwMDIiNjSU7O5v3338fZ2dnTExMaNmyJUFBQdrnXbt2jd69e2NlZYWJiQkNGjTQ9nYEBQUhk8nYu3cvL7zwAsbGxrRp04aIiAide2/evJmmTZtiaGhI7dq1mTNnDnl5eQB89tlnODk5cffuXW35l156iY4dO6JWq3FzcwPg1VdfRSaTaR+7ubmxePFiRowYgYWFRYGvefHixXTv3p1p06bh7e3N559/TtOmTfnxxx+1ZYYPH86nn36Kv7//M99DofzJZDJe9LTlz/Gt2DzRjx4NHZDJIDD8Nv2WHGXA0mD2XbpVJZdlKHOG5tB4CIzcAlPDNFs12DXQZE+F/wtrh2l2EP/3XYg9RqnvrSFUCSKoKYwkQU5G0Y6sNM1vF4VurwfsnKEpV5T6ivGPNyMjg6lTp3Lq1Cn27t2LXC7n1VdfRa1Wc+LECQACAwOJj49nw4YN5OXl0adPH9q3b09oaChHjx5l/Pjx2gnNQ4cOpWbNmpw8eZLTp08zc+ZM9PWLlqmQmZnJ119/zS+//MLFixexs7Nj0qRJHD16lL/++ovQ0FAGDBhA9+7diYyMBGDixIlkZ2dz8OBBzp8/z9dff42pqalOvR999BELFizg1KlT6Onp8frrr2uvHTp0iBEjRjB58mTCwsJYtmwZK1eu5Msvv9Q+183NjbFjxwLw008/ERwczKpVq5DL5Zw8eRKAgIAA4uPjtY+L4ujRo/mClW7dunH06NFCniFUJr4uliwZ1ozAqe0Z1NwFfYWMkzHJvL7yFN0XHWLDmRtPTRYQisHcCfwmw1vB8OYRaPOOZkG/rBQ4HQC/dtMMUe37Eu5EPbM6ofoSw0+Fyc2EuU4lVJkEaXHwlUvRin8YB0qTIhXt16+fzuNff/0VW1tbwsLCsLW1BcDGxgYHBwcAkpKSSE1NpVevXnh4eADg7e2tfX5sbCzTpk2jXr16ANStW7dobQZyc3P5+eef8fX11dYVEBBAbGwsTk6a9/L9999n586dBAQEMHfuXGJjY+nXrx+NGjUCoHbt2vnq/fLLL2nfvj0AM2fO5KWXXiIrKwtDQ0PmzJnDzJkzGTlypPb5n3/+OdOnT2fWrFkoFAp+//13GjduzMyZM/n+++/55ZdfqFWrFoD2PbK0tNS+R0WVkJCAvb29zjl7e3sSEhKKVY9QsXnYmvJVPx+mdPHk18NX+eN4LBG37jH17xAW7L7M2HbuvNbcBWOl+HFaIhwaag7/2RBzSLP/VPgWzQrGB7/RHM7NHm2waVKjvFssVCCip6aSi4yMZPDgwdSuXRtzc3Pt8ElsbGyB5a2trRk1ahTdunWjd+/eLF68mPj4eO31qVOnMnbsWPz9/fnqq6+0Q1lFoVQq8fHx0T4+f/48KpUKT09PTE1NtceBAwe09b7zzjt88cUX+Pn5MWvWLEJDQ/PV+3idjo6aBdVu374NaIbLPvvsM536x40bR3x8PJmZmmyW2rVr8+233/L111/z8ssvM2TIkCK/JkF4yN7ckA96enNkZiemdfOihqmSmyn3mfNvGH5f7WNR4GWSM3KeXZFQNHIF1O4Ary6B9yOh3/80c2xkCs0eVDuma4an/hio2Zsqt+ANd4XqRfxqURh9Y02PSVFcC4Y/+j+73ND14NqmaPcuot69e+Pq6sqKFStwcnJCrVbTsGFDcnIK/+EaEBDAO++8w86dO1m7di0ff/wxe/bsoVWrVsyePZshQ4awbds2duzYwaxZs/jrr7949dVXn9kWIyMjnXV50tPTUSgUnD59GoVCd1Gzh0NMY8eOpVu3bmzbto3du3czb948FixYwNtvv/3o7Xhs+Oth/Wq1WnuPOXPm0Ldv33zteTzd+eDBgygUCmJiYsjLy0NP779/9B0cHLh165bOuVu3bhW7x0eoXCyM9JnYsQ5j2rqz/vQNlj9IB18UGMmyA1dEOnhpUBpr1rZp1B/Sb8OFDZr1b+LOQuQuzaE0g/qvaNa/cWsHlTRJQfhvxN96YWQyzRBQUQ6PTpoxYQpbREoG5s6ackWpr4iLUd29e5eIiAg+/vhjOnfujLe3N8nJj9IhlUrNOjkqVf608iZNmvDBBx8QHBxMw4YNWbNmjfaap6cnU6ZMYffu3fTt25eAgIAiv21P3kOlUnH79m3q1Kmjczz+xe/i4sKbb77Jhg0beO+991ixYkWR79G0aVMiIiLy1V+nTh1t5tXatWvZsGEDQUFBxMbG8vnnn+vUoa+vX+B79CytW7dm7969Ouf27NlD69ati12XUPkY6isY9lg6eAMn3XTwqX+f47JIBy95pnbQ6k0YHwQTT0K798GiFuTcg3O/w+qXYVFD2PMp3Aor79YKZUz01JQEuUKTtv33CDSBTQHb63X/SlOuBFlZWWFjY8Py5ctxdHQkNjaWmTNnaq/b2dlhZGTEzp07qVmzJoaGhiQlJbF8+XJefvllnJyciIiIIDIykhEjRnD//n2mTZtG//79cXd358aNG5w8eTLfvJ2i8vT0ZOjQoYwYMYIFCxbQpEkTEhMT2bt3Lz4+Prz00ku8++679OjRA09PT5KTk9m/f7/OHJ9n+fTTT+nVqxe1atWif//+yOVyQkJCuHDhAl988QU3btxgwoQJfP3117Rt25aAgAB69epFjx49aNWqFaDJdNq7dy9+fn4YGBhgZaXZxfnhmjLp6ekkJiZy7tw5lEol9evXB2Dy5Mm0b9+eBQsW8NJLL/HXX39x6tQpli9frm1fUlISsbGxxMVpev0eZm45ODiIHp0q4sl08KUHogmOvsuGMzfZcOYm/t52vNnegxfcRDp4ibP1hM6fQMeP4PoxzQJ/FzdC2k04slhz2Dd6tMGmueOz6xQqN6maSE1NlQApNTU137X79+9LYWFh0v379//bTS5ulqQF9SRplvmjY4G35nwp2bNnj+Tt7S0ZGBhIPj4+UlBQkARIGzdulCRJklasWCG5uLhIcrlcat++vZSQkCD16dNHcnR0lJRKpeTq6ip9+umnkkqlkrKzs6VBgwZJLi4uklKplJycnKRJkyYV6X0JCAiQLCws8p3PycmRPv30U8nNzU3S19eXHB0dpVdffVUKDQ2VJEmSJk2aJHl4eEgGBgaSra2tNHz4cOnOnTuSJEnS/v37JUBKTk7W1nf27FkJkK5evao9t3PnTqlNmzaSkZGRZG5uLrVo0UJavny5pFarpc6dO0vdunWT1Gq1tvzbb78teXh4SPfu3ZMkSZK2bNki1alTR9LT05NcXV215Xiwqfrjx+PXJUmS/v77b8nT01NSKpVSgwYNpG3btuV7XwqqZ9asWc98TwtTYp9XodSci02W3vztlOQ2c6vkOkNz9Pv5iBQYliCpVOpnVyA8v5z7mp+5fw6RpDk2j34Wz7aUpFWvSNLZNZKUda+8WykUw9O+v58ktkmghJedV6s0c2zSb4GpvWYOTQn30AjVm9gmofK4kpjO8oNX2HDmJjkP0r897U15s70HvX3F7uClLjNJ03MT+remJ+chfWOo95Jmg83aHUAhBi0qslLfJuGnn37Czc0NQ0NDWrZsqV0PpTApKSlMnDgRR0dHDAwM8PT01FlOft68eTRv3hwzMzPs7Ozo06dPvgXWOnTooNnV+rHjzTfffJ7mly65AtzbaSa0ubcTAY0gVGO1H6SDH5rRkTfa18bUQI/Lt9KZ+ncIHeYHEXDkKpk5eeXdzKrL2Bqaj4Exu+Cdc5phKmsPzZId59fBH/1goTfs/EAz6bh6/I5fpRW7p2bt2rWMGDGCpUuX0rJlSxYtWsS6deuIiIjAzs4uX/mcnBz8/Pyws7Pjww8/xNnZmWvXrmFpaaldz6R79+4MGjSI5s2bk5eXx4cffsiFCxcICwvDxESzXkuHDh3w9PTks88+09ZtbGz8zKjtoTLrqamievTowaFDhwq89uGHH/Lhhx+WcYuqL/F5rbxS7+fyx/Fr/Ho4hjvp2YBmd/ARrd0Y2cYNa7E7eOmTJLh5RpM9deEfyHy02jg1vDTZUz4DwbJW+bVR0FGqu3S3bNmS5s2ba5eCV6vVuLi48Pbbb+tMUn1o6dKlzJ8/n0uXLhV5ZdrExETs7Ow4cOAAL774IqAJaho3bsyiRYuK01wtEdT8Nzdv3uT+/YLXgbC2tsbaWkyCLCvi81r5ZeWq+OeMJh382t1Hu4O/1tyFse3cqWlV9GUdhP9AlQtRezUTjCO2Q17Wo2uufpoF/uq/AkaW5dZEoRSDmpycHIyNjVm/fj19+vTRnh85ciQpKSls3rw533N69uyJtbU1xsbGbN68GVtbW4YMGcKMGTPyrV3yUFRUFHXr1uX8+fPajQE7dOjAxYsXkSQJBwcHevfuzSeffIKxccH/+LOzs8nOztY+TktLw8XFRQQ1QqUnPq9Vh0otseNCPEsPRHPhZhoACrmMV3ydeKO9B14OZuXcwmokK1Wz51TIXxBzGG0Wq8IAvLprApw6XUBP9KaVteIENcWaHXXnzh1UKlWBS8NfunSpwOdcuXKFffv2MXToULZv305UVBRvvfUWubm5zJo1K195tVrNu+++i5+fnzagARgyZAiurq44OTkRGhrKjBkziIiIYMOGDQXed968ecyZM6c4L08QBKFMKeQyevk48VIjRw5HadLBj0TdZcPZm2w4e5PO9ex4s4MHzUU6eOkztIAmwzRH6g3NnJuQtZAYDmGbNYeRFTToC76DoGbzIq8pJpSdYvXUxMXF4ezsTHBwsM4CY9OnT+fAgQMcP34833M8PT21v1k+7JlZuHAh8+fP11me/6EJEyawY8cODh8+TM2aNQtty759++jcuTNRUVHaPYweJ3pqhKpKfF6rttAbKSw9EM2OCwnaeasvuFrxZnsPOtWzQy4XX6RlRpIg4bxmeOr8ekh/bF83K3dN743PQLDJ/x0klJxS66mpUaMGCoWiWEvDOzo6oq+vrzPU5O3tTUJCAjk5OdpVbwEmTZrE1q1bOXjw4FMDGtDM7QEKDWoMDAwwMDAo8msTBEGoCHxqWvLz0GZcSUxnxaEr/HP6JqeuJTN29Sk87U1540UPXm4s0sHLhEwGjj6ao8tncPXAgw02/4Xkq3DgK81Rs7kmwGnQF0xsyrvV1Vqx/lUolUqaNWumszS8Wq1m7969hS4N7+fnR1RUlHavHoDLly/j6OioDWgkSWLSpEls3LiRffv24e7u/sy2PFzt9eEGh4IgCFVJbVtT5vX14fAT6eDvrQuh/Tf7+fWwSAcvU3KFZqubvstgWiT0XQF1/EEmhxsnYfv7sMAT1gzSrI0jNtgsF8+V0j1y5EiWLVtGixYtWLRoEX///TeXLl3C3t6eESNG4OzszLx58wC4fv06DRo0YOTIkbz99ttERkby+uuv88477/DRRx8B8NZbb7FmzRo2b96Ml5eX9l4WFhYYGRkRHR3NmjVr6NmzJzY2NoSGhjJlyhRq1qzJgQMHitRukf0kVBXi81o9FZQObvkgHXyUSAcvP/duaVLDQ/+C+JBH5w3MH2yw+Zomk0pssPncSjWlG+DHH39k/vz5JCQk0LhxY77//nvtcFCHDh1wc3Nj5cqV2vJHjx5lypQpnDt3DmdnZ8aMGaOT/SQrZLJVQEAAo0aN4vr16wwbNowLFy6QkZGBi4sLr776Kh9//LFYp6aEzJ49m02bNml7wMrDqFGjSElJYdOmTYWWeTK1383NjXfffZd33323TNpYEYjPa/WWlatiw5mbLDsYrU0HN9SXM6h5LZEOXt5uX3ow/2YdpF5/dN68JvgM0KxgbFev/NpXSZV6UFMZlVVQo1KrOHP7DImZidga29LUrimKSrCqcGUJapKSktDX18fMTJPqWh5BTVBQEB07diQ5ORlLS8siP2/Dhg0sWbKEc+fOkZ2dTYMGDZg9ezbdunUr1v1FUCOAJh1854UElhyI0kkHf9nXiTfa16aeQ9F+4RNKgVoNscEPNtjcDNmpj645+Giypxr2AzOxqW1RlNpEYeHpAq8F8tWJr7iV+Wgitb2xPTNbzMTf1b8cW1Z1VOZF/g4ePEiXLl2YO3culpaWBAQE0Lt3b44fP06TJk3Ku3lCJaOQy3jJx5GejRw4EnWXJQeiOBJ1l41nb7Lx7E061bNjgkgHLx9yObi11Rw95sPlnZoAJ3I3JIRqjt0fQ+2OmuEp716gNCnvVlcJYpCvhAReC2Rq0FSdgAbgduZtpgZNJfBaYKncd/369TRq1AgjIyNsbGzw9/cnIyODoKAgWrRogYmJCZaWlvj5+XHt2jXt87766ivs7e0xMzNjzJgxZGVlPeUuukaNGkWfPn2YO3cu9vb2WFpa8tlnn5GXl8e0adOwtramZs2aBAQE6Dzv/PnzdOrUSdvW8ePHk56enq/+OXPmYGtri7m5OW+++SY5OTnaax06dHhqr0xKSgpjx47VPr9Tp06EhDwa5549ezaNGzfmt99+w83NDQsLCwYNGsS9e/e0ZdRqNfPmzcPd3R0jIyN8fX1Zv349ADExMXTs2BEAKysrZDIZo0aNYvny5Tg5OelMiAd45ZVXeP311wFYtGgR06dPp3nz5tStW5e5c+dSt25d/v333yK+84KQn0wmo23dGvwxthVbJvnxUiNHZDLYd+k2A5Yepd+SYPaE3UKtrhad8hWPviE06AOD/4T3LkPPb6FmC5DUEL0XNo6H+XVhw3jN6sYqMfn7vxBBTSEkSSIzN7NIx73se8w7MQ+J/D80pAf/fXXiK+5l3ytSfUUdEYyPj2fw4MG8/vrrhIeHExQURN++fZEkiT59+tC+fXtCQ0M5evQo48eP185d+vvvv5k9ezZz587l1KlTODo68vPPPxfr/dm3bx9xcXEcPHiQhQsXMmvWLHr16oWVlRXHjx/nzTff5I033uDGjRsAZGRk0K1bN6ysrDh58iTr1q0jMDCQSZMm6dS7d+9e7Wv5888/2bBhQ7EWURwwYAC3b99mx44dnD59mqZNm9K5c2eSkpK0ZaKjo9m0aRNbt25l69atHDhwgK+++kp7fd68eaxevZqlS5dy8eJFpkyZwrBhwzhw4AAuLi78888/AERERBAfH8/ixYsZMGAAd+/eZf/+/dp6kpKS2LlzJ0OHDi2wrWq1mnv37lXq3iehYvGpaclPQ5uy770ODG5RC6VCzulryYxbfYpuiw6y/vQNcvLUz65IKB0mNtBiHIzdA2+fgQ4faNa7yc3Q9OT83he+qw+7PtJMOq4es0NKlJhTQ8FzFDJzM2m5pmV5NJXjQ45jrP/syX5nzpyhWbNmxMTE4Orqqj2flJSEjY0NQUFBtG/fPt/z2rRpQ5MmTfjpp5+051q1akVWVlaR5tSMGjWKoKAgrly5gvzBjP569ephZ2fHwYMHAVCpVFhYWPDLL78waNAgVqxYwYwZM7h+/bp2k9Lt27fTu3dv4uLisLe3Z9SoUfz7779cv35du/3F0qVLmTZtGqmpqcjl8qdOFD58+DAvvfQSt2/f1lmjqE6dOkyfPp3x48cze/Zs7ST3h/Nypk+fzsGDBzl27BjZ2dlYW1sTGBios0zB2LFjyczMZM2aNYXOqenTpw82Njb873//A2D58uXMmTOH69eva9+nx33zzTd89dVXXLp0qcDNYAsj5tQIRXU7LYtfj8Twx7Fr3MvW9AA4Whgytl1tBjV3wcRAzEAod5IEN0492GBzA9x/9AsYtt6PNti0ePrabVVZcebUiJ6aSszX15fOnTvTqFEjBgwYwIoVK0hOTsba2ppRo0bRrVs3evfuzeLFi3VWbw4PD9dmqz1U2DpDhWnQoIHOF7W9vT2NGjXSPlYoFNjY2HD79m3tPX19fbUBDWjWMFKr1UREROi8psf382rdujXp6elcv/5YJkEhQkJCSE9Px8bGBlNTU+1x9epVoqOjteXc3Ny0AQ1o1jp62M6oqCgyMzPp0qWLTh2rV6/WqaMgQ4cO5Z9//tGuZP3HH38waNCgAgOaNWvWMGfOHP7+++9iBTSCUBx25obM7FGPIx90Ykb3etiaGRCfmsXnW8No89U+Fu6O4G569rMrEkqPTAYuzeGlBfBeBAz6E+r30ew5lRgOe+fAdw1hZS8485tmjyqhUCJML4SRnhHHh+Tf9qEgp2+d5q29bz2z3M+df6aZfbMi3bsoFAoFe/bsITg4mN27d/PDDz/w0Ucfcfz4cQICAnjnnXfYuXMna9eu5eOPP2bPnj20atWqSHU/y5M7rstksgLPPTnHpDSlp6fj6OhIUFBQvmuP96g8rZ0P5/hs27YNZ2dnnXLPWqG6d+/eSJLEtm3baN68OYcOHeK7777LV+6vv/5i7NixrFu3Dn9/MYFcKH3mhvpM6ODBaD83Npy5yfKD0cTczeT7fVEsP3RFpINXFHpKqNdTc9xPgfAtEPo3xBx6dGx/H7x6PNhg0x8U+s+stjoRQU0hZDJZkYaAANo4tcHe2J7bmbcLnFcjQ4a9sT1tnNqUeHq3TCbDz88PPz8/Pv30U1xdXdm4cSNTp06lSZMmNGnShA8++IDWrVuzZs0aWrVqhbe3N8ePH2fEiBHaeo4dO1ai7XqSt7c3K1euJCMjQ9tbc+TIEeRyuc6CiyEhIdy/fx8jIyNtu0xNTXFxcXnmPZo2bUpCQgJ6enq4ubk9Vzvr16+PgYEBsbGxBQ7dAdqVsFUqlc55Q0ND+vbtyx9//EFUVBReXl40bdpUp8yff/7J66+/zl9//cVLL730XG0UhOdlqK9gSMtavNbchZ0XElh6IJrzN1NZGRzDb8eu0dvHkTc7eIh08IrAyBKajtAcKdfh/N+aLRruRGhWLL64EYysNanhvoPAuZnYYBMx/FQiFHIFM1vMBDQBzOMePp7RYkaJBzTHjx/XTvaNjY1lw4YNJCYmYmRkxAcffMDRo0e5du0au3fvJjIyEm9vbwAmT57Mr7/+SkBAAJcvX2bWrFlcvHixRNv2pKFDh2JoaMjIkSO5cOEC+/fv5+2332b48OE6u77n5OQwZswYwsLC2L59O7NmzWLSpEkFDuE8yd/fn9atW9OnTx92795NTEwMwcHBfPTRR5w6dapI7TQzM+P9999nypQprFq1iujoaM6cOcMPP/zAqlWrAHB1dUUmk7F161YSExN1MriGDh3Ktm3b+PXXX/NNEF6zZg0jRoxgwYIFtGzZkoSEBBISEkhNFd3JQtl6mA6+ZZIff4xtSds6NVCpJTadi6P7okOMDjjBiatJRU5aEEqZpQu0ew8mHofxB6DVRDCx08y/ObkCfukMPzSDoK8h6Up5t7ZciaCmhPi7+rOww0LsjHXnR9gb27Oww8JSWafG3NycgwcP0rNnTzw9Pfn4449ZsGABffv25dKlS/Tr1w9PT0/Gjx/PxIkTeeONNwB47bXX+OSTT5g+fTrNmjXj2rVrTJgwocTb9zhjY2N27dpFUlISzZs3p3///nTu3Jkff/xRp1znzp2pW7cuL774Iq+99hovv/wys2fPLtI9ZDIZ27dv58UXX2T06NF4enoyaNAgrl27phM4Pcvnn3/OJ598wrx58/D29qZ79+5s27ZNuyeZs7Mzc+bMYebMmdjb2+tkcHXq1Alra2siIiIYMmSITr3Lly8nLy+PiRMn4ujoqD0mT55c5LYJQkmSyWT41anB72Nb8u+ktrzUyBG5DPZHJDJwmSYdfPfFBJEOXlHIZODUGLrPhanhMOwfaDQQ9I0hKRqC5sL3TeB/XeHkL5CZ9MwqqxqR/YRYUVioXET2k1CaYu5ksPzQFZ307zp2przxYm1eaeyMUk/8LlzhZKfDpa2atPArQZo1cADk+lC3K/i+BnW7adbMqYTENgkFEHs/CVWF+LwKZeH2vSwCjsTw+1HddPAxbd0Z3KKWSAevqO4lwPn1mhTxhPOPzhtYaBYB9HkNarWuVBtsiqCmACKoKTpTU9NCr+3YsYN27dqVYWuEJ4nPq1CW0rJyWXM8lv8dvkriPU36t4WRPiNbuzKyjRs2pk/PChTK0a0wzQTj0HWQduPReYtajzbYtPUsv/YVkQhqCiCCmqKLiooq9Jqzs7M2M0koH+LzKpSHrFwVG8/eZPnBK1y9kwFodgd/7QUXxrarjYu1SAevsNRquHZYMzwVtgWy0x5dc2z8aINN04q5ZpYIagogghqhqhCfV6E8qdQSuy5q0sFDb2gy9xRyGb19HHmjvQfejiIdvELLvQ8ROzTr30TtAfWDvaZkCvDopBmeqvcSKCtOkCqCmgKIoEaoKsTnVagIJEkiOPouSw9EcyjyjvZ8By9bJrT3oIW7tXa/OaGCyrij2ZohdC3cfGzZC6UpePfWBDjuL0I5J7uIoKYAIqgRqgrxeRUqmvM3Ull6MJod5+N5mP3dpJYlb7b3oIu3PXK5CG4qvDtRD+bfrIXkmEfnzRyhUX9NgOPQqNCno1bBtWBIvwWm9uDapsSCIRHUFEAENUJVIT6vQkVVUDq4h60Jb7b3EOnglYUkwfUTjzbYzEp5dM2ugWZzzUYDwOKxbWTCtsDOGZAW9+icuRN0/xrqv/yfmySCmgKIoEaoKsTnVajonpYOPqhFLUxFOnjlkJcDkbs1vTeXd4Iq58EFGbi302RPyfVg4xuQb4ugB71zA1f/58BGBDUFEEGNUFWIz6tQWdx7LB389mPp4CNauzJKpINXLveTIWyzZoLxtSNFfJJM02Pz7vn/NBRVnKBG9AVWczKZjE2bNpXJvTp06MC7775bJvcSBKH8mRnq80Z7Dw7N6MhXfRvhXsOE1Pu5/LAvijZf7ePTzRe4npRZ3s0UisLICpqNgtHbYXIodPoEzGs+40kSpN3UzLUpI6IPsIRJKhWZp06Tl5iInq0txi80Q6YQ2yQIglB9GegpGNSiFgNecGH3xQSWPEgHX330Gn8cj6WXjyNvvOhBfSeRDl4pWLnCi++DpStsGPvs8um3Sr9ND4igpgSl7d7NrbnzyEtI0J7Tc3DA/sMPMO/atRxbJgiCUP4Uchk9GjnSvaEDR6PvsuRBOvjmc3FsPhdHBy9b3mzvQUuRDl45mDkUrZxp0TcU/q/E8FMJSdu9m5uT39UJaADybt3i5uR3Sdu9u8TvuXr1amxsbMjOztY536dPH4YPHw7AkiVL8PDwQKlU4uXlxW+//fbUOs+fP0+nTp0wMjLCxsaG8ePHk56eDkBQUBBKpZJDhw5py3/zzTfY2dlx61bZReKCIFRuMpmMNnVq8NuYlmx9uy29fDS7gwdFJDJo+TH6Lglml9gdvOJzbaOZM0NhAagMzJ015cqICGoKIUkS6szMIh2qe/e49cWXmlS4/BUBEre+nIvq3r0i1VfUudsDBgxApVKxZcsW7bnbt2+zbds2Xn/9dTZu3MjkyZN57733uHDhAm+88QajR49m//79BdaXkZFBt27dsLKy4uTJk6xbt47AwEAmTZoEPJoTM3z4cFJTUzl79iyffPIJv/zyC/b2ZReJC4JQdTR0tuDHIU3Z/34HhrashVJPztnYFN747TRdvjvA36eua9PDhQpGrtCkbQP5A5sHj7t/VaaL94nsJwrOJlFnZhLRtFl5NBWvM6eRGxdtieq33nqLmJgYtm/fDsDChQv56aefiIqKom3btjRo0IDly5dryw8cOJCMjAy2bdsGaH5j2rhxI3369GHFihXMmDGD69evY2JiAsD27dvp3bs3cXFx2Nvbk5OTQ8uWLfH09OTChQv4+fnp1P80HTp0oHHjxixatKgY74bwJJH9JFRlifeyCThyld+OXeNeliYd3MH8we7gLUU6eIVU4Do1zpqApozXqRGfjkpu3LhxNG/enJs3b+Ls7MzKlSsZNWoUMpmM8PBwxo8fr1Pez8+PxYsXF1hXeHg4vr6+2oDmYXm1Wk1ERAT29vYolUr++OMPfHx8cHV15bvvvivV1ycIQvVia2bA9O71mNDBQ5sOnpCWxZfbw/lhXyQjWrsxys+NGiIdvOKo/7Jmv6hSWlG4OERQUwiZkRFeZ04XqWzmqVNcH//GM8u5LF+G8QsvFOneRdWkSRN8fX1ZvXo1Xbt25eLFi9pemNISHKxJz0tKSiIpKUknCBIEQSgJD9PBR/m5sfGMZnfwK3cy+HF/FCsOXWHgCy6Mf1HsDl5hyBWaBfnKuxnl3YCKSiaTITc2LtJh4ueHnoMDFDZbXyZDz8EBEz+/ItVX3Fn/Y8eOZeXKlQQEBODv74+LiwsA3t7eHDmiu0jSkSNHqF+/foH1eHt7ExISQkZGhk55uVyOl5cXANHR0UyZMoUVK1bQsmVLRo4ciVotxrsFQSgdD9PB90xtz9JhTfGtaUF2nprfjl2jw7dBvPPnWcLi0sq7mUIFIYKaEiBTKLD/8IMHD54ISB48tv/wg1Jbr2bIkCHcuHGDFStW8Prrr2vPT5s2jZUrV7JkyRIiIyNZuHAhGzZs4P333y+wnqFDh2JoaMjIkSO5cOEC+/fv5+2332b48OHY29ujUqkYNmwY3bp1Y/To0QQEBBAaGsqCBQtK5XUJgiA8pJDL6N7QkU0T/VgzriUvetqiUktsCYmj5/eHGPnrCY5G3y1yooVQNYmgpoSYd+2K8+JF6D2RBaRnb4/z4kWluk6NhYUF/fr1w9TUlD59+mjP9+nTh8WLF/Ptt9/SoEEDli1bRkBAAB06dCiwHmNjY3bt2kVSUhLNmzenf//+dO7cmR9//BGAL7/8kmvXrrFs2TIAHB0dWb58OR9//DEhISGl9voEQRAekslktPGowerXW7D17bb09nVCLoMDlxMZvOIYr/4czM4LIh28uhLZT5RsNkl5rSjcuXNnGjRowPfff1/q9xLKl8h+EgRd1+5msOLQFf4+9Wh38Nq2Jrz5ogevNHHCQE+s6l6ZiQ0tC1BVN7RMTk4mKCiI/v37ExYWpp37IlRdlfnzKgilKfFeNiuDr7L66KN0cHtzA8a0dWdIS1eRDl5JiZTuMiRJErlZ91GpVCgUCvQNjcp0ee8mTZqQnJzM119/Xa4BTWxsbKETkAHCwsKoVatWGbZIqC7UahU3wy+SnpKMqaUVzt4NkJdDKqlQ/mzNDJjWrR5vtvfgzxOadPBbadnM3X6JH/dFiXTwakD01PD8v/lmpadz724iqrw87TmFnh5mNrYYmpqWWNsrg7y8PGJiYgq97ubmhp6eiKFLguipeSTyeDD7Vi4nPemO9pypdQ06jRpP3ZZltzS7UDFl56nYdPYmyw5e4UqiJqvTQE/OgBdqMr6dB7VsRDp4ZSCGnwpQ0kFNVno6KbfiC71uae9Y7QIboWyIoEYj8ngwWxbOLfT6y1M/FIGNAIBaLbE77BZLDkQTcj0FALkMXvJx4s32tWngZFG+DRSeqjhBzXNlP/3000+4ublhaGhIy5YtOXHixFPLp6SkMHHiRBwdHTEwMMDT01O7rH9R68zKymLixInY2NhgampKv379ym0TRUmSuHc38all7t1NFKmFglBK1GoV+1Y+fXuO/auWo1aryqhFQkUml8vo3tCBTW+10aaDqyX4NySOl74/zIhfTxAcfUf8zK4Cij0esHbtWqZOncrSpUtp2bIlixYtolu3bkRERGBnZ5evfE5ODl26dMHOzo7169fj7OzMtWvXsLS0LFadU6ZMYdu2baxbtw4LCwsmTZpE37598y0uVxZys+7rDDkVRJWXx93r15DJRda8ULJy8vJIT05iy8Y/yblXPRcdy7mfqTPkVJB7d+9wM/wiLg18yqhVQkX3MB28jUcNLtxMZdnBK2wLjePg5UQOXk7E18WSCe1r07W+A3J52c2NFEpOsYefWrZsSfPmzbVrl6jValxcXHj77beZOXNmvvJLly5l/vz5XLp0CX19/eeqMzU1FVtbW9asWUP//v0BuHTpEt7e3hw9epRWrVo9s90lOfx0P/0eqbcSnllOEEpDrkpFXMItzvwZQOYzvtiru57vTMPbr315N0OowGLvZj5IB79O9mPp4G+8WJs+TZxFOngFUGpzanJycjA2Nmb9+vU6i7yNHDmSlJQUNm/enO85PXv2xNraGmNjYzZv3oytrS1DhgxhxowZKBSKItW5b98+OnfuTHJysk4Pj6urK++++y5Tpkx5ZttLMqjJuZ9JUtzNZ5Yzs7ZBz0DMshdKVnZ2NtdiYzFS5aGopr9MJl67yqE/Vz2znK2rOy36DKBui9Yo9Ar+pUoQAO6kZ7PySAyrj8aQ9kQ6+OAWtTAzFJ+f8lJqKd137txBpVJh/8Squfb29ly6dKnA51y5coV9+/YxdOhQtm/fTlRUFG+99Ra5ubnMmjWrSHUmJCSgVCp1ApqHZRISCu4xyc7OJjs7W/s4La3kuun1DY1Q6Ok9dQhKoaeHsaVVmaZ3C9WDJFegpzSgpnu9ajtR2NW3CWd3bXvmEFTitatsW/wNRuYWNOzYBZ/O3bG0dyijVgqVSQ1TA97v5sWbHTz483gsvxy+ok0H/2FfFCNauzKqjTu2ZuIX1Yqs1Cd8qNVq7OzsWL58Oc2aNeO1117jo48+YunSpaV633nz5mFhYaE9Hm7yWBJkMhlmNrZPLWNmY1spAhqZTMamTZvKuxmCUCxyuYJOo8Y/tYz/uIm06jcYUytr7qelcnLzev73zljWf/kJkSeCUavEJGIhP1MDPca9WJuD0zvyTT8fatuacC8rj5/2R+P39T4+3nSe2LuZ5d1MoRDF6qmpUaMGCoUiX9bRrVu3cHAo+LcfR0dH9PX1UTy2VYC3tzcJCQnk5OQUqU4HBwdycnJISUnR6a152n0/+OADpk6dqn2clpZWooGNoakpljjmW6dGJleQmWpIWlI6Jua5ONa1FBPOBKEU1G3ZhpenfphvnRozmxp0HPlonZrW/QYRfeYEoXt2EBNyhmuhZ7kWehZTK2sadupGo05dMa/x9F9ShOrHQE/BwOYu9G9WUycd/Pdjsaw5HkvPRo682d6Dhs4iHbwiKVZQo1QqadasGXv37tXOf1Gr1ezdu5dJkyYV+Bw/Pz/WrFmDWq1G/iAT6PLlyzg6OqJUKgGeWWezZs3Q19dn79699OvXD4CIiAhiY2Np3bp1gfc1MDDAoJTnsxiammJgYqJdUTj2YipHN14jI+XRsJeJpQHtXquLR5P8mWGCIPw3dVu2waN5y6euKCxXKKjbvDV1m7cm5VYC5/fu5Pz+PaQnJ3Hsnz85vmEt7k1fwLdLD9x8m4rViAUdD9PBuzWw59iVJJYeiObA5US2hsazNTSednVrMKG9B609bCpF73xVV+zhp6lTp7JixQpWrVpFeHg4EyZMICMjg9GjRwMwYsQIPvjgA235CRMmkJSUxOTJk7l8+TLbtm1j7ty5TJw4sch1WlhYMGbMGKZOncr+/fs5ffo0o0ePpnXr1kXKfCpNMpkMpZExcZH3CQy4rBPQAGSkZLNz2QWiz94u8XuvXr0aGxsbnblDoNmde/jw4QAsWbIEDw8PlEolXl5e/Pbbb0+t8/z583Tq1AkjIyNsbGwYP3486enpAAQFBaFUKjl06JC2/DfffIOdnV2R1gxav349jRo10tbt7+9PRkZGcV+2IOiQyxW4NPDB2689Lg18nhqUWNo70G7IKN5YspKXJk/HpYEPkqTmyukTbPxqDr+8PZZjG9aSnpxUhq9AqAxkMhmtPWxY9XoLtr3Tlpcf7A5+KPIOQ345Tp+fjrDzQjwqsTt4uXquFYV//PFH5s+fT0JCAo0bN+b777+nZcuWAHTo0AE3NzdWrlypLX/06FGmTJnCuXPncHZ2ZsyYMdrsp6LUCZoMpffee48///yT7OxsunXrxs8//1zo8NOTipv9JEkSeTnqItWtVkv8OecYGSk5hZYxsTRg8KyWRRqK0lPKixTx379/H0dHR1asWMGAAQMAuH37Ns7OzuzevZuUlBRee+01Fi1ahL+/P1u3bmX69Ons2bOHjh07App/qBs3bqRPnz5kZGRQt25dWrduzZw5c7h9+zZjx47lxRdf1P59Tp8+nb///puQkBCuXLlCq1atWLduHS+//PJT2xofH0+tWrX45ptvePXVV7l37x6HDh1ixIgRmIqVl4tFrChcsu7evM75vTu5GLSXrAxNAC9XKPB4oSW+/j2p1dBHrDclFKjAdPAaJox/sTavNhXp4CVFbJNQgOIGNbnZKpZPPlAeTWX84vboGxTtH8Nbb71FTEyMdoXmhQsX8tNPPxEVFUXbtm1p0KABy5c/Wnl14MCBZGRksG3bNkA3qFmxYgUzZszg+vXrmJiYALB9+3Z69+5NXFwc9vb25OTk0LJlSzw9Pblw4QJ+fn469RfmzJkzNGvWjJiYGFxdXYv7lgiPEUFN6cjNySby2BFC9uwg7nK49rylgyM+/j1o0L4zxuZi/oSQX0Hp4HZmD3cHF+ng/1Wpb5MgVBzjxo1j9+7d3LypWTdn5cqVjBo1CplMRnh4OH5+fjrl/fz8CA8PL6gqwsPD8fX11QY0D8ur1WoiIiIAzbyqP/74g3/++YesrCy+++67IrXT19eXzp0706hRIwYMGMCKFStITk5+npcsCKVCX2lA/Rc7Mfjz+YyY/yONu72E0siIlIR4Dv7+K8snjGTb9/O5EX5BLKcv6HiYDh78QWc+6umNg7kht+9lM2/HJdp8tY9vdl4i8V72sysS/jOxbXIh9JRyxi8u2kqkcZEpbP0x5Jnlek3yxamuZZHuXVRNmjTB19eX1atX07VrVy5evKjthSktwcHBACQlJZGUlKQTBBVGoVCwZ88egoOD2b17Nz/88AMfffQRx48fx93dvVTbKwjFZVvLjc6vT6DdkFFcOnKQ0MCd3LoSyaUjB7h05ADWzi74dulB/XadxMa1gtbDdPCRbdzYdO4mSw9EcyUxg5+Dovnl8FUGNKvJ+Bdr42rz7J+ZwvMRPTWFkMlk6BsoinS41LfGxPLpmVamVga41LcuUn3FnUE/duxYVq5cSUBAAP7+/trUdW9v73x7Yx05coT69esXWI+3tzchISE6k3ePHDmCXC7Hy8sLgOjoaKZMmcKKFSto2bIlI0eORK0u2twjmUyGn58fc+bM4ezZsyiVSjZu3Fis1yoIZUlpaIRP524Mm/cdQ+d+R6NOXdEzMCDp5nX2r1zOsjdHsPPnRcRHRojeG0FLqSdn4AsuBE5pz7LhzWjsYklOnpo/jsfS8dsgJq05w4WbqeXdzCpJzKmhZOYoRJ+9zc5lFwq93v2NhqWW1p2amoqTkxN5eXmsXr2a1157DYBNmzYxcOBAFi9ejL+/P//++y/Tp08nMDCQDh06ALpzajIzM6lTpw5t2rRh9uzZJCYmMnbsWNq1a8fKlStRqVS0bdsWZ2dn1q9fT3x8PI0aNWLGjBlMmzbtqW08fvw4e/fupWvXrtjZ2XH8+HGGDRvGpk2b6NGjR6m8L1WVmFNTvrIzMwg/FERI4A7uxMZoz9u6uuPbpQfebTugNDIut/YJFY8kSRy/msSSIE06+EMiHbxoxEThApR2UAOawObQ2kidtG5TKwPaDiz9dWpGjBjBtm3biIuL01mfZ8mSJXz77bdcv34dd3d3Pv74Y226N+gGNaBJ6Z48eTJHjx7F2NiYfv36sXDhQkxNTfnss89YunQp58+fx8bGBoANGzYwePBgTpw4ga+vb6HtCw8PZ8qUKZw5c4a0tDRcXV15++23C13fSCicCGoqBkmSiI+8RMieHUQcPYQqNxfQbKPi7dceny49sHf3KOdWChVNWFwayw5G829IHA+zv31qWjChvQddGzigEIu15iOCmgKURVADmvTu+MgUMtKyMTE3KLMVhTt37kyDBg34/vvvS/1eQvkSQU3Fcz/9HmEH9hESuIPkuBva8w51PPH174FXm3boG4i/K+GR60madPC1Jx+lg7s/SAfvK9LBdYigpgBlFdSUteTkZIKCgujfvz9hYWHauS9C1VWZP69VnSRJ3Ag7T0jgTiKPB6NWadJ7DYxNqP9iJ3z8u1PDRSxpIDxyJz2bVcExrD56jdT7mt4+OzMDXm/rzlCRDg6IoKZAVTWocXNzIzk5mU8++YT333+/3NoRGxtb6ARkgLCwMGrVqlWGLaq6KvPntTrJTE3hQlAgoXt3knorQXveuV59fP17ULelH3oPtooRhPTsPP46Ecsvh66SkJYFgJmhHsNauTLazw07s+r7b10ENQWoqkFNRZGXl0dMTEyh193c3NDTEysIlATxea1cJLWaa+fPEbJnB9GnjyM9yBY0NDOnQfvO+Pp3x8rRuZxbKVQUOXlqNp27ybID0UQnajJRlXpy+jeryfh2tXGrUf3SwUVQUwAR1AhVhfi8Vl7pSXc5v383oXt3kX730c7itRr64tulBx4vtEIhgn8BzfzMPeG3WHogmrOxKQDIZdCjkSMTqtnu4CKoKYAIaoSqQnxeKz+1SsXVc6cIDdzJlbOn4MGPYWMLSxp16kqjTt2wsLMv51YKFYEkSZy4msSSA9EEReimg7/Z3oM21SAdXAQ1BRBBjVBViM9r1ZKWeJvQvbu4sH83GSkPtg6RyXD3bYpPl57UbvICcoXIhBEgPD6NZQei+Tf00W7gjZwtmNDBg25VOB1cBDUFEEGNUFWIz2vVpMrLI/r0cUIDd3It9Kz2vKm1DY06daNR566YWdcoxxYKFcX1pEx+OXSFv55IBx/XTpMObqhftYJgEdQUQAQ1QlUhPq9VX3JCHKGBO7kYFMj9e2kAyORyajdtgW+XHrj5NEEmF7vcVHd3H6SDr3osHdz2sd3BzatIOrgIagogghqhqhCf1+ojLzeXyBPBhO7ZwY3wR9uwWNjZ06hTNxp27IKJpVU5tlCoCDKy8/jzRCz/O3yV+NQH6eAGegxt5crrbSt/OrgIagoggpqCPblNQlkLCgqiY8eOJCcnY2lpWS5tqGyq8+e1Ort7I1bTe3NwL9kPNp2VK/So06I1vv49cGnQqMpPGBWeLidPzeZzN1l28ApRt9MBTTp4v6Y1eePFypsOLoKaApTdNgkqboZfJD0lGVNLK5y9GyCXV9zxzbIMajp06EDjxo1ZtGiR9lxOTg5JSUnY29uLH8hFJIKa6i03O4uIo4cJDdxBfGSE9ryVozM+/t1p0L4zRmZP/8EvVG1qtUTgg3TwM4+ngzd05M32HjSqWbnSwYsT1IgFEUpQ5PFg9q1cTnrSo/UnTK1r0GnUeOq2bFOOLau4lEolDg4O5d0MQag09A0MadjBn4Yd/Lkdc4XQwB2EHQoiOf4mB377H4f/Wo1nq7b4+vfAyctb/LJQDcnlMro2cKBLfXtOxiSzJCiK/RGJbDsfz7bz8bSto0kH96tT9dLBxUyzEhJ5PJgtC+fqBDQA6Ul32LJwLpHHg0v8nqtXr8bGxobs7Gyd83369NHuxL1kyRI8PDxQKpV4eXnx22+/PbXO8+fP06lTJ4yMjLCxsWH8+PGkp2u6MYOCglAqlRw6dEhb/ptvvsHOzo5bt249td5Ro0Zx4MABFi9ejEwmQyaTERMTQ1BQEDKZjJSUFABWrlyJpaUlu3btwtvbG1NTU7p37058fDwABw8eRF9fn4SEBJ363333Xdq1a/fsN00QqhA7t9r4j53Im0tX0WXcJOzcPFDl5hJ+aD9/zZrO6mmTOLvzX7IzM8q7qUI5kMlktHC3JmB0C3ZMbkefxk4o5DIOR91h2P+O8/KPR9j2WHp4VSCCmkJIkkRuVlaRjuzMDPYFLHtqfftWLiM7M6NI9RV1RHDAgAGoVCq2bNmiPXf79m22bdvG66+/zsaNG5k8eTLvvfceFy5c4I033mD06NHs37+/wPoyMjLo1q0bVlZWnDx5knXr1hEYGMikSZMAzfDRu+++y/Dhw0lNTeXs2bN88skn/PLLL9jbP32hsMWLF9O6dWvGjRtHfHw88fHxuLi4FFg2MzOTb7/9lt9++42DBw8SGxur3dfqxRdfpHbt2jrBWW5uLn/88Qevv/56kd43QahqlEbG+Ph3Z9hXixjy5QIaduyCntKAO9evsS9gGUvfHMGupd+TEB1Z3k0Vyom3ozmLBjUh6P0OjGztiqG+nPM3U5m45gydFwSx5ngsWbmq8m7mfybm1FDwHIXcrCy+H9m/PJrKO6vWo1/EuRJvvfUWMTExbN++HYCFCxfy008/ERUVRdu2bWnQoAHLly/Xlh84cCAZGRls27YN0J1Ts2LFCmbMmMH169cxMdFMKNu+fTu9e/cmLi4Oe3t7cnJyaNmyJZ6enly4cAE/Pz+d+p+moDk1T04UXrlyJaNHjyYqKgoPDw8Afv75Zz777DNt78w333zDypUrCQsLA2DDhg2MHDmShIQEbburMjGnRiiKrIx0wg7uJzRwB3dvxGrP27l74NulB/X82qM0NCrHFgrl6W56NquOXmNVcIxOOvjrfu4MbVWx0sGLM6dG9NRUcuPGjWP37t3cvHkT0AzfjBo1CplMRnh4OH5+fjrl/fz8CA8PL7Cu8PBwfH19dQIDPz8/1Go1ERGaCYlKpZI//viDf/75h6ysLL777rsSf03GxsbagAbA0dGR27dvax+PGjWKqKgojh07Bmhe88CBA6tFQCMIRWVoYkrTHr0Z+e1PvDbna7zbdUShr8/tq9HsWf4jy94cQeAvP3M75kp5N1UoBzamBkzt4knwzE580qs+jhaGJN7L5uudl/Cbt495O8K5/WC38MpETBQuhJ6BAe+sWl+ksjfCL7Dhq9nPLNd35mxqejcs0r2LqkmTJvj6+rJ69Wq6du3KxYsXtb0wpSU4WDM/KCkpiaSkpBIPJvT1dX9DkMlkOkNydnZ29O7dm4CAANzd3dmxYwdBQUEl2gZBqCpkMhk16zWgZr0GdBgxlrADewndu5Pk+DhC9mwnZM92HOt64dulJ56t26KvLPrPH6HyMzHQY0xbd4a3cmVLSBxLD0QTdTudZQeuEHA4hn7NnBn/ogfulSQdXAQ1hZDJZEUeAnL1bYKpdY18k4QfZ2ZTA1ffJqWS3j127FgWLVrEzZs38ff3185V8fb25siRI4wcOVJb9siRI9SvX7/Aery9vVm5ciUZGRnaQOXIkSPI5XK8vLwAiI6OZsqUKaxYsYK1a9cycuRIAgMDkRdhdVOlUolKVTJjtmPHjmXw4MHUrFkTDw+PfD1SgiDkZ2xuwQu9+9Ks16tcvxhKyJ4dRJ08SnxkBPGREexftZwGL3bGx78HNjULnvMmVE1KPTn9m9WkbxNn9l66zZKgKM7EpvDniev8dfI6PRo68GZ7D3xqWpZ3U59KDD+VALlcQadR459apuPI8aW2Xs2QIUO4ceMGK1as0JksO23aNFauXMmSJUuIjIxk4cKFbNiwQTvp9klDhw7F0NCQkSNHcuHCBfbv38/bb7/N8OHDsbe3R6VSMWzYMLp168bo0aMJCAggNDSUBQsWFKmdbm5uHD9+nJiYGO7cuYNarX7u19ytWzfMzc354osvGD169HPXIwjVkUwmo1ZDX3pPmcn4n1fSdtAIzG3tyc7I4MyOLax8bwJr58wk/MgB8nJzy7u5QhmSy2V0qW/PPxPa8PcbrelUzw5Jgu3nE3j5xyMM/eUYhyPv5EtoUakljkbfZfO5mxyNvltuGVWip6aE1G3ZhpenfphvnRozmxp0HFm669RYWFjQr18/tm3bprOIXp8+fVi8eDHffvstkydPxt3dnYCAADp06FBgPcbGxuzatYvJkyfTvHlzjI2N6devHwsXLgTgyy+/5Nq1a2zduhXQzHVZvnw5gwcPpmvXrvj6+j61ne+//z4jR46kfv363L9/n6tXrz73a5bL5YwaNYq5c+cyYsSI565HEKo7E0srWr46kOav9ONayFlCAndy5fQJboRd4EbYBYzMzGnYsQs+nbtj6eBY3s0VysjDdPAW7tZcSkhj2YErbAmJ40jUXY5E3aWhszlvtvegR0NH9oQlMOffMO0WDQCOFobM6l2f7g3L9jMjsp+oGisKd+7cmQYNGvD999+X+r0qijFjxpCYmKiT0l4diOwnobTdu3uH8/t2cX7fbtKT7mrPu/o0wde/B7WbtUChJ34nrm6uJ2Xyv8NX+etkLFm5mp52W1Mliek5+co+XNJvybCm/zmwEdskFKCq7v2UnJxMUFAQ/fv3JywsTDv3pSpLTU3l/PnzdOnShS1bttClS5fyblKZqsyfV6FyUatUXDlzkpDAHcSEnIEHXxcmVtY06tiFRp27YV7DrpxbKZS1pIwcVgbHsCr4Kqn38wotJwMcLAw5PKMTCvnzr1wstkmoRpo0aUJycjJff/11uQY0sbGxhU5ABggLC6NWrVolcq9XXnmFEydO8Oabb1a7gEYQypJcoaBO81bUad6K1NsJhO7dxYX9e8hITuLYhrUc37gO9ybN8PHvgXuTZhV6nzuh5FibKJnaxZMmLpaMXnmy0HISEJ+axYmrSbT2sCmTtomgppKLiYkp7yYA4OTkxLlz5556vaSI9G1BKHsWdg60GzySNgOGEHXyOKGB24m9EMqVMye5cuYkZjVs8enUjYYdu2BqXTZfYEL5Sssq2iTy2/fKbr0bEdQIJUJPT486deqUdzMEQShlCj19vFq3xat1W5LibhK6dycXgwK5dyeRI3//TvD6NdR5oRU+/t1xbdQYWRGWexAqJzuzog1/F7VcSRBBjSAIgvBcrJ2c6TB8DG1fG87l40cIDdzBzUthRJ4IJvJEMBb2Dvh07k7Djl0wNrco7+YKJayFuzWOFoYkpGZR0OTch3NqWrhbl1mbRFAjCIIg/Cd6SiX123WkfruO3ImNISRwJ2EH95F6K4FDa1ZyZO3v1G3ZBt8uPajp3RCZ7PknjQoVh0IuY1bv+kz4/Qwy0AlsHv4Nz+pd/z9NEi4ukf2EyCYRKhfxeRUqg9ysLC4dPUjonh06u4NbO9XEx78H9dt3wsjUrBxbKJSUnRfi+XxLGHZpudgg4y4St831+eTlklmnRmQ/CYIgCOVK39CQRh270qhjV25diSI0cCfhh4NIirtB0OoVHP5zFV5t2uHj3x3HuvVE700l1h59fDBFzaP1auQosaLsd/oWPTWI33yFykV8XoXKKjszk/DDQYTu2U5ibIz2vG0tN3y69MS7bQcMjI3Lr4FCsd2/cIe7v4cXet1mmDdGDWv8p3sUp6fmuaal//TTT7i5uWFoaEjLli05ceJEoWVXrlyJTCbTOZ78Qfzk9YfH/PnztWXc3NzyXf/qq6+ep/nCY2QyGZs2bSrvZgiCUA0YGBvTuGtPhn/zA4M//5YG7Tujp68kMTaGvf/7mWVvjmD38h+4dSWqvJsqFIGklkj5N/qpZVL+vYJUhvtAFXv4ae3atUydOpWlS5fSsmVLFi1aRLdu3YiIiMDOruCVJc3NzYmIiNA+frKbMT4+Xufxjh07GDNmDP369dM5/9lnnzFu3DjtYzOzijceK6klsq+mor6Xg9xMiYG7BbIynCQlCIJQ0clkMpw86+HkWY8OI8YRdnAvIYE7Sbp5nfN7d3F+7y4cPOri49+Dem1eRF/0SFZI2VdSUKXm3yLhcarUbLKvpmLoYVkmbSp2ULNw4ULGjRun3Rl56dKlbNu2jV9//ZWZM2cW+ByZTIaDg0OhdT55bfPmzXTs2JHatWvrnDczM3tqPeXt/oU7pPwbrfOXrLBQYtnb4z93vwmCIFRFhqamNO35Ck16vMzN8IuEBO4g8vgREqIjSYiOJGj1L9R/sSM+/j2wreVW3s2t9vKSs8iOTCErMpmsiKQiPUd97+mBT0kq1vBTTk4Op0+fxt/f/1EFcjn+/v4cPXq00Oelp6fj6uqKi4sLr7zyChcvXiy07K1bt9i2bRtjxozJd+2rr77CxsaGJk2aMH/+fPLyCt9zIjs7m7S0NJ2jND0cV3wyalWl5nD393DuX7hTyDOf3+rVq7GxsSE7O1vnfJ8+fRg+fDgAS5YswcPDA6VSiZeXF7/99ttT6zx//jydOnXCyMgIGxsbxo8fT3p6OqBZyVepVHLo0CFt+W+++QY7Oztu3br11HoTExNxcHBg7ty52nPBwcEolUr27t1brNctCELVI5PJqFm/IS+9M43xS1bx4tDRWNo7knM/k3O7trF62iT+/HQ6YQf3kZdTdl+S1Z06K4/7YXdJ3hxFwrenSPj6JMkbIrl//g5SjrpIdcjNlKXcykeK1VNz584dVCoV9vb2Ouft7e25dOlSgc/x8vLi119/xcfHh9TUVL799lvatGnDxYsXqVmzZr7yq1atwszMjL59++qcf+edd2jatCnW1tYEBwfzwQcfEB8fz8KFCwu877x585gzZ05xXp4OSZKQcov2FyapJZK3PH1cMXlLNMo6lkUaipLpy4uUCTBgwADeeecdtmzZwoABAwC4ffs227ZtY/fu3WzcuJHJkyezaNEi/P392bp1K6NHj6ZmzZp07NgxX30ZGRl069aN1q1bc/LkSW7fvs3YsWOZNGkSK1eupEOHDrz77rsMHz6ckJAQrly5wieffMK6devyfSaeZGtry6+//kqfPn3o2rUrXl5eDB8+nEmTJtG5c+dnvlZBEKoPY3MLmr/cjxd6vcq1CyGEBu4g6uQx4iLCiIsIY/+qFTRo3xkf/+5YO+X/HhGen6SSyLl5T9sbkxN7Dx6fEyMHpYs5BnUsMahjSdKfl1CnFR5kKiwMMHAvu4UXi5X9FBcXh7OzM8HBwbRu3Vp7fvr06Rw4cIDjx48/s47c3Fy8vb0ZPHgwn3/+eb7r9erVo0uXLvzwww9PrefXX3/ljTfeID09HQMDg3zXs7OzdXow0tLScHFxKXL2kzpHRdynwc98PaXB6bM2yJVF2xjurbfeIiYmhu3btwOa4cGffvqJqKgo2rZtS4MGDVi+fLm2/MCBA8nIyGDbtm2A5rejjRs30qdPH1asWMGMGTO4fv06JiYmAGzfvp3evXsTFxeHvb09OTk5tGzZEk9PTy5cuICfn59O/c8yceJEAgMDeeGFFzh//jwnT54s8O9PKJzIfhKqo/Sku1zYv4fQfbu4dydRe96lgQ++XXpQp3krFHpln0JcFeQlZZEVmUx2ZDJZUalIWbqjIAobQwzrWmFY1xIDD0vkho/6Qypa9lOxempq1KiBQqHIN9Rw69atIs910dfXp0mTJkRF5Z/dfujQISIiIli7du0z62nZsiV5eXnExMQUuDu1gYFBtfiyHDduHM2bN+fmzZs4OzuzcuVKRo0ahUwmIzw8nPHjx+uU9/PzY/HixQXWFR4ejq+vrzageVherVYTERGBvb09SqWSP/74Ax8fH1xdXfnuu++K1d5vv/2Whg0bsm7dOk6fPl0t/o4EQfjvTK1taNVvEC1eHUDMuTOE7NnO1bOnuX4xlOsXQzG2sKRhB398/LtjYVdx515WBOr7eWRHp5AVpemNUd3V3XBSZqiHYR0LDOpaYVjHEj0bo0LrMmpYA5th3gXMJzXAsnftMp9PWqygRqlU0qxZM/bu3UufPn0AUKvV7N27l0mTJhWpDpVKxfnz5+nZs2e+a//73/9o1qwZvr6+z6zn3LlzyOXyQjOu/iuZvhynz9oUqWz21VTuBhQ+T+ghm9ENitQNJ9Mv+lSnJk2a4Ovry+rVq+natSsXL17U9sKUluBgTQ9WUlISSUlJOkHQs0RHRxMXF4darSYmJoZGjRqVVjMFQaiC5HIFtZs2p3bT5qTduc35fbs5v283GclJnNi8nhNb/sHNtyk+/t3xaNoCuaJovd5VmaSSyLmeRlZkCtmRyeTcuAePz66Qy1DWMsOwrhUGdS1ROpshUxQ9a9eoYQ0M69tUiMzfYmc/TZ06lZEjR/LCCy/QokULFi1aREZGhjYbasSIETg7OzNv3jxAk4bdqlUr6tSpQ0pKCvPnz+fatWuMHTtWp960tDTWrVvHggUL8t3z6NGjHD9+nI4dO2JmZsbRo0eZMmUKw4YNw8rK6nle9zPJZDJkRRwCMqxrhcJC+dTUNoWFAYZ1rUrlL3ns2LEsWrSImzdv4u/vj4uLCwDe3t4cOXKEkSNHasseOXKE+vXrF1iPt7c3K1euJCMjQxuoHDlyBLlcru0Ni46OZsqUKaxYsYK1a9cycuRIAgMDkRdhJ96cnByGDRvGa6+9hpeXF2PHjuX8+fOlFpgKglC1mdeww2/gMFr1HcSVMycI2bODa6FniTl3mphzpzG1tqFRp6406tQNM5vqk4EqSRKqu5ohpazIFLKjU5CyVTpl9GoYYVDXUhPIeFggN/hvGwzI5LIyS9t+mmK/itdee43ExEQ+/fRTEhISaNy4MTt37tROFI2NjdX5gktOTmbcuHEkJCRgZWVFs2bNCA4OzvfF+tdffyFJEoMHD853TwMDA/766y9mz55NdnY27u7uTJkyhalTpxa3+aVCJpdh2dvjqeOKlr1rl1rUOmTIEN5//31WrFjB6tWrteenTZvGwIEDadKkCf7+/vz7779s2LCBwMDAAusZOnQos2bNYuTIkcyePZvExETefvtthg8fjr29PSqVimHDhtGtWzdGjx5N9+7dadSoEQsWLGDatGnPbOdHH31Eamoq33//Paampmzfvp3XX3+drVu3lth7IQhC9aPQ06NuizbUbdGGlIR4Qvfu5EJQIOlJdzm6/k+O/bOW2s2a4+vfA1ffJsjlVa/3Rp2ZS1Z0inaCrypZNytWbqyHQR1LDOtoemP0rEp2Pp6kUpF56jR5iYno2dpi/EIzZOXQSya2SaDkJl4WvE5N2Ywrjhgxgm3bthEXF6czT2XJkiV8++23XL9+HXd3dz7++GNtujfoThQGTUr35MmTOXr0KMbGxvTr14+FCxdiamrKZ599xtKlSzl//jw2NjYAbNiwgcGDB3PixImnDhsGBQXRpUsX9u/fT9u2bQGIiYnB19eXr776igkTJpTCu1I1iYnCgvBsebm5RJ0IJjRwJ9fDzmvPm9va49O5Gw07dsHEsnR6+suCpFKTE3vvwQTfFM2Q0uPf5goZylrmGHpqemP0nUxL7RfrtN27uTV3HnkJCdpzeg4O2H/4AeZdu/73+osxUVgENZTsl0R5rSjcuXNnGjRowPfff1/q9xLKlwhqBKF47t68TmjgTsIO7CUrQ7PullyhoM4LrfDp0oNaDXyQFWEIvTxJkkTenftkX04mKyqF7OhUpJwnhpTsjB7Mi7HCwN0CuUHp95Sk7d7NzcnvwpOhxINlSZwXL/rPgY0IagpQVTe0TE5OJigoiP79+xMWFlZgJphQtVTmz6sglKfcnGwuHz1MSOAO4i8/WlvNytGJRp2706B9Z4zNy25NlWdRZeRqspQuJ5MdlYIq5YkhJRM9DOo8SLWua4WeRdlmk0oqFVGd/XV6aHTIZOjZ21Nnb+B/GooqtZRuoeJp0qQJycnJfP311+Ua0MTGxhY6ARkgLCyMWrVqlWGLBEEQdOkrDWjQvjMN2ncm8dpVQgJ3En5oH8nxcRz8/VeO/LUaz1Zt8fHvjnO9BkVaBLUkSXlqsq+laebFRCWTezM935CSgZu5JtW6rhX6jiblurdgxokThQc0AJJEXkICmadOY9KyRZm0SQQ1lVxMTEx5NwEAJycnzp0799TrgiAIFYWtqzv+Yybw4tBRXDpygJA9O7h9NZrww0GEHw7CpmYtfPx7UP/FjhiamJZKGyRJIu92pjbVOvtKar6V7PXsjbUL3yndLYq8MGtJU6Wmkn35MlkRl8mOiCArIoKs8MKTYx6Xl5j47EIlRAQ1QonQ09OjTp065d0MQRCEYlEaGuHTuTs+nbuTEB1JyJ4dXAo+wN0bsexfuYxDa1bi1aYdvl164ODh+Z97b1TpOWRHpWgDGdUTWwzITfUxrGP5oDfGEoV5GQ8p5eWRc+3ag8DlQQBzOYK8uPjnrlPP1rYEW/iMe5XZnQRBEAShAnPwqIuDR106jBhD2KH9hO7ZwZ3r17gYFMjFoEDs3Dzw8e+Od9v2KI2Mi1SnlKsm+1qqNojJjcvQLaAnx8DdXDPBt44l+g5lN6SUl5xMdsRlsiMuaQOY7KgopCc2SdY21ckRQ696GHh5YujlhbJOHa6PHUfe7dv5JwqDdk6N8QvNSvmVPHZLMVH40cRLNzc3jIwKXw5aECqC+/fvExMTIyYKC0IpkySJuMuXCN2znYhjh1Hl5gKgb2hE/XYd8PHvgZ1b7XzPybuVqV34Ludq/iElfUcTbU+MgZs5Mv3SHVKScnPJvnpVE8BcjiDrUgTZERGaYKQAMiMjDDzr6gQwBp6eKAqYpKvNfgLdwEZkP5Wup70pKpWKy5cvY2dnp11/RRAqqtTUVOLi4qhTpw76+mIDP0EoC/fvpRF2cB8he3aQHH9Te96xjhe+L/bAxaoeeVczyIpKQX3viSElMyWGD1fvrWOJwkxZau3Mu3uXrEuXHvTARJB1+TI5UVFIDwKyJ+m7uGgCF08vDOp5Yejlhb6LS7FS3MU6NeXgWW9KfHw8KSkp2NnZYWxsXOaz3gWhKNRqNXFxcejr61OrVi3xORWEMiZJEtdDQrm66yh51zKxN3DF0kB3qxeZvhylu4V2gq+efcl/p6hzcsi5ciVfAKO6c6fA8nITEwy8vB7reXnQ+2Ja9L37nqY0VxQWKd3P4eEu47cL6Y4ThIpCLpeLgEYQypCklshNyNBuQSCPuYdHXgN47Ps1KTuBW/djSLh/FaWrBT6e3ajb0gu9/9ibqsmQSiT7smbI6OHQUfbVq5CXl/8JMhnKWrUwqPfY0JGXF/rOzqX6M0OmUJRZ2vZT2yF6anSpVCpyC+mmE4SKQKlUFmkDUUEQnp8qLZusB0FMdlQK6nTd7wWFhVKz8J2nJtX6xpULhATuIPr0CSS1Zg6NkZk5DTr449O5G1aOzs+8pzo7m+zIKE3QcvlB9tGlS6hSUgosLzc3x9DTU9MD82DoyKBOHeTGRZvEXFmI4acCFOdNEQRBEKoXdY6K7Kup2t6YvFuZOtdlSjkGtS01m0J6WqFna1Rgz8e9pDtc2LeH0H27SL/7aCioVqPG+Pp3x+OFVsgVCvISEh4NHT0IYHKuXgW1Ol+dyOUo3d0x9PLUDBt5eWJYrx56Dg7VosdWBDUFEEGNIAiC8JCklsiNz9D0xFxOJvtaGqgez94BfWfTRwvf1TJHplf0HlK1SsXVc6cI2bmVq6HneLg0sCEyaqak4xJ3B6Pc/MNHCktLDOrVeyyA8cKgjgfyapzpKObUCIIgCMIT8lKyyY58sCFkVDLqDN2gQmFp8GBDSEsMPCxRmBR9PowkSeTevKldbTc74jJcuoR3bCyuegqu25hz3dqMLH09oixNiLIwxl4tw9O+Ju6Nm2FUrx4Gnl7o2dlWi96X0iKCGkEQBKFKUmc/GFK6nKwZUkq8r3NdplRg4GGhDWT0ahQ8pPQkVXoG2ZcfDhtFaLOP1BkZBZY3s7CkaW1PWnrW5ZaJARFxsdy4EsktBdy6c4OzZ7PwsTKlYQNvzERA85+I4SdBEAShSpDUErk30x8tfBebf0hJ6WKmnRejdDFDpih8SElSq8m9fl0TuFzSbBeQHXGZ3OvXCywv09dHWafOo8m7D7KP9GrUyFc2Of4moXt3cSEokKx7aZrny+V4NGuJr393XH2aFGutmKpMzKkpgAhqBEEQqp685CzNvJjIFLKjU1BnPjGkZG2oWbm3jhWGHhbIjQseUlKlpT3YsFETuGRFXCI7MgopM7PA8np2do8yjh5M3jVwd0dWzBTuvJwcIk8EE7JnBzcvXdSet7B3wKdzdxp28MfYwrJYdVY1IqgpgAhqBEEQKj91Vh7ZV1K1gUzenSeGlAwUmp6YByv46tnobn0jqVSPbdj4aOgoNy6uwPvJlEoM6tbFwMsLw3qPAhg9K6sSf213rl8jdO9Owg7sIztTM5QlV+hRt0VrfLv0oGb9RtVyvo0IagogghpBEITKR1JJ5Ny8p5kXE/VgSOnxrGc5KF3MNb0xda1Q1jRDptB88eclJ5N9OfLBho0PApjIyKdv2Pgg48jQyxODevVQ1qqFTK9sp5/mZmcRcfQwoXt2EB8VoT1v5VQTX//u1G/fGSNTszJtU3kSQU0BRFAjCIJQOeTdva/JULqcTFZ0ClKWSue6no3how0hPSyRKSRyYmK0O01nRWjWf8m7davA+mVGRhjUratdbVeTPu2JwsKiLF5esdy6Gk1o4A7CDx8gN0vTK6XQ18erVVt8uvTEybNele+9EUFNAURQIwiCUDGp7+eRHa1Z9C4rKgXV3Syd6zJDvQfzYizRqwGqW1cfC2Ainr5hY82aDwKXRwGMvotLie1LVFZy7mcSfvgAIYE7SIy5oj1fo5YbPv7dqd+uIwbGJbOPU0UjgpoCiKBGEAShYpBUanKu3yMrMoXsyGRyrt97uDadhlyG0sUUPWs15MaRczOcnMua7CNVYiEbNhob627Y6FUPA8+6KExNy+ZFlRFJkkiIvkzInh1EBB8iL0czlKZnYIC3X3t8/Hvg4FG3nFtZskRQUwAR1AiCIJQPSZLIu5ulWfjuQZaSlK07pCQ3AZleMqqkSHIij5IdFfH0DRt1ApgHGzZWsxTorIx0wg7uJzRwB3dvxGrP29eug49/D+r5vYjS0OgpNVQOIqgpgAhqBEEQyo46M5es6BTtXkqq5Ccm58pyUWdeJzf2DLkxp5DuJ+WrQ25m9iBweWzH6Tp1kJtUzWGW5yVJEjcvXSRkzw4ijx9B9SAYVBoZ4d2uE77+3bF1dS/nVj4/EdQUQAQ1giAIpUfKU5MTe4+sqGSyLieTezNdZ0hJUqtQJUWhunWRvMRw1CmxaAvI5Sjd3HR6Xgy9vNBzdKzyk2BLWmZaKhcP7CU0cAcpCfHa846e9fD174Fn67boKw3KsYXFJ4KaAoigRhAEoeRIkkRe4n3uh93m/vl4cuNzQK07/KNKi0N1O4y8xDBUdyJBlY3CwgKDevV0575U8w0bS4OkVhN7MZTQPTuIOnUMtUoz3GdoYkqDDp1p1Lk7Ns4u5dzKohFBTQFEUCMIgvD8JEkiO+o6GSejybmShuqeIciMdcqos9NQ3Q7XBDF3L6N0stIELY/1wOjZ2YnelzKWkZLMhf17CN27k7TE29rzLvUb4dOlB3VbtEahV7yVkMuSCGoKIIIaQRCEolFnZJB1+TJZ4ZfJirhFXiJI1EBu5oxM9qg3RlLlorobhTr9KnqWuSjdbTH01gwdKT08kCuV5fgqhCep1SquhZwlJHAHV06fRJI0qxgamVvQsGMXfDp3x9LeoZxbmZ8IagogghpBEARdklpN7o0b2g0bsy9HkH0tCUllhZ5tfRQ1PJHp6c6/UGclIjdIQ+lsiJFvTYwa1Ctww0ahYku7k8iF/bs5v3cX6cmPJmm7+jTBt0sPajdtgaKMV1IujAhqCiCCGkEQqjPVvXuPNmy8FKFZuC4yEvIUKOy80bP1RmFXH7nRE3sayXLQqwGG9Wpg2roOetYi86gqUatURJ85QeieHcSEnoUHIYGJlTWNOnWlUaeumNewK9c2iqCmACKoEQShOtBs2BhL9uXHNmy8dOnRho1yPRQ2dVHYeqNnVx+FZS3dCuSgrGWCUX07DOpaoe9gLObAVBMptxI4v3cn5/fv4X5aKgAymRz3pi/g698Dt8ZNkcvLfiVmEdQUoLSCGkmlIvPUafISE9GztcX4hWaVbvltQRAqJ1VKClmXL5N9SbParnbDxizdbQbk5s4o7OqjX7Mxcgt3ZDLdYQV9R5NHeym5WSDTr16L2Am6VHm5RJ08RsieHVy/GKo9b1bDFp/O3WnYsQumVtY6z1GrVdwMv0h6SjKmllY4ezcosQBIBDUFKI2gJm33bm7NnUdeQoL2nJ6DA/YffoB5164lcg9BEAQpL+/Bho0ROgHM4z97Hic3t8WgYQf07RsgKewgTzeIkZspMaxriaGnFQYelijMxIReoWBJcTcIDdzJxaBAsjLSAZArFHi80BJf/57UauhD1Mlj7Fu5nPSkR1tYmFrXoNOo8dRt2eY/t0EENQUo6aAmbfdubk5+Vzv+qPWgm9Z58SIR2AiCUGx5SUnajRqzIy6TFXGJnKhopJycAsvrOztjUK8BStfGyIxdUWUao0rS3dxRpi/HoLYFBnWsMPS0RM9ODCkJxZObk03ksSOE7NlB3OVw7XljC0syU1MKfd7LUz/8z4GNCGoKUJJBjaRSEdXZv9DfkpDJ0LO3p87eQDEUJQhCgaScHLKvXtUJYLIjIshLTCywvNzYGANPzwd7HnmhZ18HSWVFTux9smNSIe+xH+Uy0Hcy1Qwn1bXCwNUcmZ4YUhJKRmJsDKGBO7h4YB+5WfefWtbMpgZjf/zffxqKKs73d8XI16pkMk+dLjygAZAk8hISiO7REz0bG2T/b+/Ow6OqD/3xv8+Z5Uz2hZA9JGEL+5IEIrgikShcqrf2CopKuYo+banV1AXaWzf6LVYtUq0tPr0i/CxeqderbQFjka0qEcOmgBBCIAlLEpZkMtlmPZ/fH5MMmWQmyWTP5P16nnnIOedztpDJvPPZjkGBrBggGQyQFcX5r0GBpBic2wwBLcookA0GSMq1MrJBgRQQcG1fRQF0Ov6lRTQICCHguHIF5sJTsBSevBZgzpwBbDaP++iSR8AwNu3aQxvHjYMcEgVLsQnmomqYTxuhfmsGcG0afE2YvqlfTASU0eHQBA3cydRocBs+IgVz//NHGDl9Bv7vpefbLVt79QounDiOpIlT+uTauhRq3nzzTbzyyiuoqKjA1KlT8cYbb2DmzJkey27cuBHLli1zW6coCswtOrL98Ic/xKZNm9zK5OTkIC8vz7VcVVWFn/70p/jHP/4BWZZx99134/e//z2C++Gx8t7+kmrNVlYGW1lZxwW7QpbdQ5LSNvh0KTwZApr+NUBSmsoYDJAYoog6pFossBYXNwWYQpgLT8JSeAqOqrYPawRaPLBxbPPzjsZCGTMGclAQVKsDlrM1sJyqRtX/XoK9ssRtX0kvQxkZDmVMOAxjIqAdHsD3KPUpc0N9p8rVGat7+Uqu8TnUbNmyBbm5uVi/fj2ysrKwbt065OTkoLCwENHRnseyh4aGorCw0LXs6Y13++2345133nEtK4r7hE9LlixBeXk5duzYAZvNhmXLluGRRx7Be++95+stdJt2+PBOlRv+5M+hT06GMFsgLGaoZguEudH5r2vZDNVihjBbrv1rbnTuYzZDtbj/6+rDo6oQDQ1wNDT04p22IEnthie3sKQYIAUYvIan5nWuwKS0KmMwQNLr+QuaBiwhBOyVlU3B5VqAsZ4tAZqeseNGlqFPTnYGl3FpUMY6A4w2Pt71cy5UAdvFOtQVVMFyqhiWUhPgaNWklBAMQ1NtjH5ECJuUqF8Fh0d0XMiHcj3B51Czdu1aLF++3FX7sn79emzbtg0bNmzAypUrPe4jSRJiY9ufellRFK9lTpw4gby8PBQUFCAzMxMA8MYbb2D+/Pl49dVXER8f7+ttdEtgZga0sbGwV1a27SgMuPrUDFu2rEf71AghIGw2Z8hpNDcFIzNEc/DxGp7cQ1NzmfbCkytEqWrzySEaG+FobASMxh67J68kya2myGt4ahGO3GqcWgaq5jIewpPruIrCEEUeqWYzLEWnm5qOnAHGUlgIR02Nx/JyWFiLJ02PvfbAxoCANmXtRgssRdUwF1XDUmyEWm93264JV5wjlEaHO0cpsUmJBpCE8RMRHBnlNuqptZBhUUgYP7HPrsmnUGO1WnHw4EGsWrXKtU6WZWRnZyM/P9/rfnV1dUhOToaqqkhPT8dvfvMbTJzofpN79uxBdHQ0IiIicOutt+LXv/41hg0bBgDIz89HeHi4K9AAQHZ2NmRZxv79+/Hv//7vbc5psVhgsVhcyyaTyZdbbZek0SDmF6uco58kyT3YNH0wxvxiVY93EpYkCZJeD+j10PTBBIJuIcpbeLK0ClgewpNrf4/hyXwtWLUOUWYzHK3m2+hNnsNTy6a8dsJT878BAR2Gp+YyDFE9o6fmihJCwH7xojO4nCqEuWnWXWtp6bWfy5Y0GigjU6G0bDoaN67dBzaqFgcsZ4ywFBlhLqqG/bJ7J0tJ0UAZFe7q4KsdZuDPCQ1YsqzBrT98BH9f+xuvZeYsfaRPJ+zzKdRcuXIFDocDMTExbutjYmJw8uRJj/ukpaVhw4YNmDJlCmpqavDqq69i9uzZOH78OBITEwE4m56+//3vIzU1FcXFxfjFL36BO+64A/n5+dBoNKioqGjTtKXVahEZGYkKLx1216xZgxdeeMGX2/NJ6Lx5wO/XtZ2nJibGb+ap6Y8QBZutbfBxq3HyNTy1KtuqTMumAleI8vIXeE+TWvd/at0/ylNoUloEK1cNVOt+Ue7hqbmWSpL9r6miq3NFqfX1sBQVXWs6apr3Ra2t9VheExEBZVwaDGnjXAFGP2qUs9N+O4QqYLtQ5+zcW1QNa1ltmyYlfVKIa+I7fVIIJI3//T+R/xqTNRvfy/1Fm3lqQoZFYc7Snpmnxhe9Pvpp1qxZmDVrlmt59uzZGD9+PN566y2sXr0aALB48WLX9smTJ2PKlCkYNWoU9uzZg7lz53bpvKtWrUJubq5r2WQyISkpqYt34VnovHkImTuXMwr3EEmSnAFKrwdCQvrknKJliPIUnrzVTpnNEI0eQpNbXykLRGOjW0iD/VrzgrBYICwWeKgD6BWSXt+2E7khoIOmvRadxz017Smtmvha1kr1cojyNleUvbLSuf736xCSnQ3bhQswnzzpGjJtPlUIW9k5z03HOh2UkSOdnXfT0qCkjYMhbSw0UVGdrjGxV5lhPl3trI05bYRobNWkFGlwTnw3xjnxnRzAQag0uI3Jmo1RM7J6bUZhX/j0boqKioJGo0FlZaXb+srKyg77zDTT6XSYPn06Tp8+7bXMyJEjERUVhdOnT2Pu3LmIjY3FpUuX3MrY7XZUVVV5Pa+iKG06G/cGSaNBUJbnkV808Ek6HTQ6HdBHo+iE3e4KRs1BR21sbD88tej/1Nnw5ApRLYYMC6sVwmrtuxCl07mFJTnA0Krmqe0oveYyXsNTUxlodahY/WvPwaRp3YWfPwlJq4Vo9DyPhnb48GtDppsCjJKa4qyd9IFqtsNSXOMKMvYrrZqUDM1NSs7aGO2wtn1riAY7Wdb02bDt9vgUavR6PTIyMrBz507cddddAABVVbFz506sWLGiU8dwOBw4evQo5s+f77XM+fPncfXqVcTFxQFw1vYYjUYcPHgQGRkZAIBdu3ZBVVVkZWX5cgtE/UrSaqEJ1gLBffOkY+FweA4+LUOTxdL58OTWfNe2aU+0DFE2m3O5thYexgP1vqbzSzod9GNGNzUdjXV14tVGRnZ8DA+EQ8B6oRaWU9UwFxlhPWeCW1KUAX1SqKtfjD4xBJKG/WKI+oLP9Z65ublYunQpMjMzMXPmTKxbtw719fWu0VAPPvggEhISsGbNGgDAiy++iOuuuw6jR4+G0WjEK6+8gtLSUjz88MMAnJ2IX3jhBdx9992IjY1FcXExnn76aYwePRo5OTkAgPHjx+P222/H8uXLsX79ethsNqxYsQKLFy/u85FPRIOJpNFACgqCHNSHIcoVkryHJ/cO5u1McdCiia9lGUddndcamJain3oSkUuXQtJ2r4nHfrUR5iKjc6RSsRHC7B7TtFEBUEY3NymFQTawSYmoP/j8zlu0aBEuX76MZ599FhUVFZg2bRry8vJcnYfLysogt2hLr66uxvLly1FRUYGIiAhkZGRg3759mDBhAgBAo9Hg22+/xaZNm2A0GhEfH4958+Zh9erVbs1HmzdvxooVKzB37lzX5Huvv/56d++fiHqQpNFACgyEHBjYq+ep3/81ypYu7bCcYdLkLgUatdEOS7GxqYOvEY4q91F4UoAWhtFNE9+NjoA20uDzOYio5/HZT0Q06Liev9bBXFGdff6acKiwnqt11cZYz9UCLQ8rS9Anh7gmvtMlBEOS2aRE1Bf47Cci8mvuc0XJ0AwbDUkJg7DUwHH1NADR7lxRQgjYr5qbJr4zwlJshLC0alIaHuBsThoTDmVkGGSFvy6JBjq+S4loUAqdNw+2X76O+oNmyEqYa71qqUFQhgGh87LdyqsNNpiLmya+O1UNh9Hitl0O1F7rFzMmAtrw3h89SUQ9i6GGiAalxmNX0HhMaTMBnqyEofEY0PDNZWhC9K6nWtvOt2pS0khQkkNdE9/p4tmkRDTYMdQQ0aAjVAHjP4rbLVP1P21nOdfGBDo7+I6NgJIaBlnPiTKJ/AlDDRENWMKhQm20Q22wN/1rg9pgh/VcLRw11g73lwwaGMZFOjv4jg6HJoxNSkT+jKGGiHqdsKtNwcQZSty+bg4rzeGl4dr61p13fRV+52gETY/uuCAR+QWGGiLqNGFzuAKHo94G0egloLi+dm4T1u49nEEyaCEHNr90ziHYxR0/eFQT6tsjD4hocGOoIRpihBAQVtVzrUm7tSl2wN6NcCIBcoAzlDj/1V5bbvG11HJ9gPPr1h14hSpQ8duv222C0oQpUFLDvG4nIv/DUEM0SAkhICyOa002rWtNvK1vtAOObsy5KUvugcRTQAnUQg5oFVYUTY+NLpJkCeELR+HqX054LRO+cCRHMxENMQw1RP1MqALCbPfev8RDR1m10bm+W4/c1khtaklcAcVDKGleL+k1kKT+DwsBk6Iw7P7xMP6j2K3GRhOmIHzhSARMiurHqyOi/sBQQ9RDhENANbfuU+KlM2yjHaJ5udHuPn+KjySd3EEzjueAIunkARFOuiNgUhQME4bBcrYGaq0VcogeSmoYa2iIhiiGGqJWhF11hQ1XKGlvtE7TcusnN/tK0mtaBI+WIUXnvj6gZROPFpJuaM+1IskSDKPC+/syiGgAYKghvyVsXjrDtmnacV8vrN0MJwaN574mLcNK668DtJC0cscHJyIirxhqaEATQjjDSTudXoWXgCJsPTBSJ0ALqaOA0nK9QQtJw6YPIqL+wFBDfcI5jNiBdkfleGzasQH27nQ4Qasmm/aHEzdvkwxthxETEdHAxlBDPhFq8zBiLyN0PI3WaZ7jRO1GONFI7XZ69doZVt9zw4iJiGhgY6jpJqGKQTnyQqjCvTNsm2Yc7wGlOyN1oJVa1ZZ4CCUevpb0g3+kDhER9S6Gmm5oPHbFwxwZeoQvHNVnc2R4e+CftxE6zc08wmzv1nklvdx2VI6HsCIFaKEJatGsM8RH6hARUe9hqOmixmNXPM5m6qix4upfTmDY/eN9CjauYcQ+DCFWG7r/wD9J0Xjv9OqtNiXAOccJERERAKiqQHmREfUmC4JCFcSNCYfcD60WDDVdIFQB4z+K2y1T/fFpSAYNhNnhOaD05gP/2ukA27qjrKRhOCEioq4rPnwJn28pQr3R4loXFK7gxkVjMGp6dJ9eC0NNF1jO1rT7ID0AUOtsuPLfx3w7cDsP/JOaljWdfOAfERFRbys+fAl5b7X9rKs3WpD31jHc/uikPg02DDVdoNa2H2iaySE6aCMDOjWEuKcf+EdERNSbVFXg8y1F7Zb54q9FSJ06vM+aohhqukAO0XeqXOTicZy+nYiI/FJ5kdGtycmTumoLyouMSEiL6JNrYoeKLlBSw6AJaz/YaMIUKKlhfXRFREREfave1H6g8bVcT2Co6QJJlhC+cFS7ZcIXjmRTEhER+aXy00Yc+excp8oGhSq9fDXXsPmpiwImRWHY/eM9zFOjIHzhyD6bp4aIiKivXCyqRsG2Epw/Wd2p8sERzuHdfYWhphsCJkXBMGHYoJxRmIiIqDOEELhwyogD287iwikjAECWJYybHYfhScHY+z+nvO57wz1j+nS+GoaabpJkiZ2BiYjI7wghcL6wGgVbz6L8dA0AQNZIGH99PNJzRiB0WAAAICBU32aemuAIBTfcw3lqiIiIqB8JIXDuRBUKtpag4kxTmNFKmHh9PKbnJCMk0uBWftT0aKROHc4ZhYmIiGhgEEKg7HgVCradReVZEwBAo5Mx8YZ4TJ+XjOAI7x1+ZVnqs2Hb7WGoISIiGsKEECg9ehUF287iUmktAECrkzHxpgRMnzcCQWF9N3qpuxhqiGhQc6gOHLp0CJcbLmN44HCkR6dDI/Np8EQdEULg7DdXULDtLK6cqwMAaPUyJt2ciOm3jUBgaOcmmh1IGGqIaND6rPQzvPT1S6hsqHStiwmMwcqZK5GdnN2PV0Y0cAlV4MyRyyjYXoKr55vCjKLBlFsSMHXu4AwzzRhqiGhQ+qz0M+TuyYWAcFt/qeEScvfkYu0taxlsiFoQqsDpQ5dwYHsJqi7WAwB0Bg2m3JKIqdlJCAgevGGmGUMNEQ06DtWBl75+qU2gAQABAQkSfvv1bzEnaQ6bomjIU1WB0wcrcWB7KarLnWFGb9Bgyq1JmDo3CYYgXT9fYc9hqCGiHuNQHbALOxyqAzbVBrtqd76E/drXTS/X9qZtDtXhXC9sbcq2PI5NtaHMVObW5NSagEBFQwX+3/7/h1Hho6CTddBr9NDLeue/Gn2bdTqNDopGubbctF0r89ckDU6qQ0XRAWfNjLGyAQCgBGox5dYkTJmT6FdhplmX3q1vvvkmXnnlFVRUVGDq1Kl44403MHPmTI9lN27ciGXLlrmtUxQFZrMZAGCz2fBf//Vf2L59O86cOYOwsDBkZ2fjpZdeQnx8vGuflJQUlJaWuh1nzZo1WLlyZVduocewkyJ1hyrUth/yHYQAh3C4r+9ECGgZGloe2+2cns7r4To8Hbv55anmpD99cOqDbh9DlmToZWfo6SgUuba3CkbN69o7hqJRnNtbhq/mfVodU5I4azl5pzpUnPq6Egc+KUHNpUYAzjAzLTsJk+ckQQnw36Du851t2bIFubm5WL9+PbKysrBu3Trk5OSgsLAQ0dGeZw4MDQ1FYWGha7nlG7KhoQGHDh3Cr371K0ydOhXV1dX42c9+hu9973s4cOCA23FefPFFLF++3LUcEhLi6+X3KHZS7HudDgHtfBh3FALaW+ctBLhqJnwIAQ7hgCrU/v6W9jqtpIVW9vBqsV4n61xfaySNWzmdrGtzjKuNV7Hr3K4Ozz07fjZC9aGwOqywqlbYHDZYVav7ssMKi8Pitr3l/4sqVJgdZpgd5t78NvmkZRhqHZS6GsDa27+jY/IPuYHB4VBR+FUFDn5SAtMV58+rIUiHabclYfLNidD7cZhp5vMdrl27FsuXL3fVvqxfvx7btm3Dhg0bvNaaSJKE2NhYj9vCwsKwY8cOt3V/+MMfMHPmTJSVlWHEiBGu9SEhIV6P09cGSyfFjkJAZz6MW4eA5iYGjx/y7YSANjUMnQwBLWsYGALaWW4nBDSHhZbhoaNw0bxNI2vct3k4tqdtGlkDraTtlVoFh+pAzoc5uNRwyWPtkAQJMYEx+OPcP3bpA9eu2mF1WGFTba4AZHVYPa5rHZQ8rbM5bM7g5ClcdeKYdtXudn021QabakM96rv8PexJGknTqfDkKRgpGsVjrVZnarq8rdPKvfNzN1A57CpO5pfjYF4paq86w0xAiA7Tskdg0s0J0Bt6P8wMlFYLn+7UarXi4MGDWLVqlWudLMvIzs5Gfn6+1/3q6uqQnJwMVVWRnp6O3/zmN5g4caLX8jU1NZAkCeHh4W7rX3rpJaxevRojRozAfffdhyeeeAJaredbsFgssFiuPYfCZDJ18i471lEnRQB4Pv951Fprr4WKToaA9moZ2g0BXmoYhmoIaP5r3+1DuhMhoPkDvHm5syGgde1CZ0KAp316KwT4G42swcqZK5G7JxcSJLf3ogTn9++Zmc90+Zdq8//HQKEK9VrwaRmCWgYh1UOtk4ft7a3zJWy1/J47hAON9kY0orEfv0vXSJDcAlF7/ac6qtXqdFOjpwDXYrssyT1+nw6bihP55TiYV4K6KufnXUCIDtPnJWPSTQnQKX0TKgZSq4VP79orV67A4XAgJibGbX1MTAxOnjzpcZ+0tDRs2LABU6ZMQU1NDV599VXMnj0bx48fR2JiYpvyZrMZzzzzDO69916Ehoa61j/22GNIT09HZGQk9u3bh1WrVqG8vBxr1671eN41a9bghRde8OX2Ou3QpUPtdlIEgBpLDZ7d92yvnL+7vH2AdyoEdFCL4C0EaGRNh8f29te+TvJwTIaAIS87ORtrb1nr8ZfpMzOfGRA1pT1FlmQoGgWKZmDM7CqEcNZmtQhAnkJRZ4JShzVVLcu2E9YcwnHt+iCc21UrYOvHb1QLWknrCjqK3Lb/lC+1UjqhB06Gw3IgGGqdM7hoggSiZ2sQk6mBariMk6aadpsaeyq0D7RWC0kI0emefRcvXkRCQgL27duHWbNmudY//fTT2Lt3L/bv39/hMWw2G8aPH497770Xq1evbrPt7rvvxvnz57Fnzx63UNPahg0b8Oijj6Kurg6K0vaN7qmmJikpCTU1Ne0etzO2n9mOZz5/psNyYyPGIj4ovtMhwGNfgk6EgDb7MQTQEDJQqr2pfzlUR6droDyu62R46uwxbWrPpymNQ4fxl67D9AvZCLKFAwDqdUYcTvgMJ6K/gkPT+XP2RAd4razFlsItqLd5bgZtbgbOuzuvW+9Jk8mEsLCwTn1++xTVoqKioNFoUFnpXktRWVnZ6b4uOp0O06dPx+nTp93W22w23HPPPSgtLcWuXbs6vPCsrCzY7XaUlJQgLS2tzXZFUTyGnZ4wPHB4p8qtnLkSM2Jn9Mo1EJGTRtbwfUbQyBoEyAEI0Ab096UAcNZmeaqBam4e9KlJ0GqDejwM2qMxkBudE+TZAxtxddwpXE4uQiAsmOyY6HaM5j5c3poM+6IDfPPUCocuHeqz96hPoUav1yMjIwM7d+7EXXfdBQBQVRU7d+7EihUrOnUMh8OBo0ePYv78+a51zYGmqKgIu3fvxrBhwzo8zpEjRyDLstcRV70pPTodMYExHXZSTI9O7/NrIyKi/idJkqv2o6tsFgeO7b2AwztK0VjrrIUJjlSQcXsKxs+Kg0a3oNPHEkI4B1+0qoHqTv+rU9Wn8OXFLzs89+WGy13+HvjK50a13NxcLF26FJmZmZg5cybWrVuH+vp612ioBx98EAkJCVizZg0A5zDs6667DqNHj4bRaMQrr7yC0tJSPPzwwwCcgeYHP/gBDh06hK1bt8LhcKCiogIAEBkZCb1ej/z8fOzfvx9z5sxBSEgI8vPz8cQTT+D+++9HRETfP+q8tzspEhHR0GU125vCTBnMdc4wEzLMgMw7UpB2XSw0Wt87HUuSBJ2kg07WIVAX2CPXWVBR0KlQ09nWjZ7gc6hZtGgRLl++jGeffRYVFRWYNm0a8vLyXJ2Hy8rKIMvXvuHV1dVYvnw5KioqEBERgYyMDOzbtw8TJkwAAFy4cAF///vfAQDTpk1zO9fu3btxyy23QFEUvP/++3j++edhsViQmpqKJ554Arm5uV29724bSp0UiYio91kb7fh2z3l889k5mOudYSZ0eAAy70jG2KxYaDQ9P4KqOwZiq4VPHYUHM186GvmCnRSJiKg7LI12fLvrHL7ZeQ6WBuecRGHRAcicn4KxM2IgD7Aw01Lz6CcAHlstemL0ky+f3ww1RERE/cBcb3OGmV3nYW10hpmI2EBk3JGCMZnRAzrMtORpnprYwNgea7XotdFPRERE1D3mehu+2XkO3+46B6vZOb9ORFwQZsxPwaiMaMjy4Jp2Izs5G3OS5gyIVguGGiIioj7QWGfFkc/O4eju87BZnGEmMj4IMxakYtT04ZAGWZhpaaBMrcBQQ0RE1Isaa604vKMMR/degL0pzAxLDMaMBSkYOXVwh5mBhqGGiIioFzSYrDj8z1Ic+9cF2K3O5/ANHxGCzPkpSJ0axdndewFDDRERUQ+qr7Hg8KdlOP75BdhtzjATnRyCGQtSkTx5GMNML2KoISIi6gF11RYc+mcpvvv8Ihx2Z5iJSQ3FjAWpGDExkmGmDzDUEBERdUNtlRmHPi3Fd19ehGp3zpISOzIMM/4tBUnjGWb6EkMNERFRF5iuNuJQXilO7CuH6nCGmbjRYZjxb6lITItgmOkHDDVEREQ+MF1pxMFPSnAyvwKq6gwzCWPDMWNBKhLS+v55hHQNQw0REVEn1FxuwIFPSlH4VQVEU5hJHBeBGQtSED+GYWYgYKghIiJqh7GyAQc+KcGprytdYSZpQiRmzE9B3Ojw/r04csNQQ0RE5EF1RT0ObC9BUUElmp+SmDxpGDLnpyB2ZFj/Xhx5xFBDRETUQtXFehzYfhZFBy+h+cHTKVOikDk/BTEpfCDyQMZQQ0REBODqhToUbCtB8eFrYSZ1ahRmLEjF8BEh/Xtx1CkMNURENKRdOV+Lgm0lOHP4smvdqOnDkTE/BcOTGGYGE4YaIiIaki6X1aJg21mc/eaKc4UEjE6PRub8FAxLCO7fi6MuYaghIqIhpbLEhAPbzqLk6FXnCgkYkxmDjDuSMSyeYWYwY6ghIqIhoeJMDQq2laDsuDPMSBIwZmYMMu9IQURsUD9fHfUEhhoiIvJr5aeNKNhegnPfVQEAJFlC2swYZNyRgvCYwH6+OupJDDVEROSXLhZVo2BbCc6frAbgDDPjrotF+u3JCI9mmPFHDDVEROQ3hBC4cMqIA9vO4sIpIwBAliWMmx2HjNuTERoV0L8XSL2KoYaIiAY9IQTOF1ajYOtZlJ+uAQDIGgnjr49Hes4IhA5jmBkKGGqIiGjQEkLg3IkqFGwtQcWZpjCjlTDx+nhMz0lGSKShn6+Q+hJDDRERDTpCCJQdr0LBtrOoPGsCAGh0MibeEI/p85IRHKH08xVSf2CoISKiQUMIgdKjV1Gw7SwuldYCALQ6GRNvSsD0eSMQFMYwM5Qx1BAR0YAnhMDZb66gYNtZXDlXBwDQ6mVMujkR028bgcBQfT9fIQ0EDDVERDRgCVXgzJHLKNhegqvnm8KMosGUWxIwdS7DDLljqCEiogFHqAKnD13Cge0lqLpYDwDQGTSYcksipmYnISCYYYbaYqghIqIBQ1UFTh+sxIHtpagud4YZvUGDKbcmYercJBiCdP18hTSQMdQQEVG/Ux0qig44a2aMlQ0AACVQiym3JmHKnESGGeoUhhoiIuo3qkPFqa8rceCTEtRcagTgDDPTspMweU4SlAB+TFHn8aeFiIj6nMOhovCrChz8pASmK2YAgCFIh2m3JWHyzYnQM8xQF/CnhoiI+ozDruJkfjkO5pWi9mpTmAnWYfptIzDp5gToDfxYoq7jTw8REfU6h03FifxyHMwrQV2VBQAQEKLD9HnJmHRTAnSKpp+vkPwBQw0REfUau82BE1+W49CnpairdoaZwFA90nOSMeHGeOj0DDPUc+Su7PTmm28iJSUFBoMBWVlZ+Prrr72W3bhxIyRJcnsZDO4PGBNC4Nlnn0VcXBwCAgKQnZ2NoqIitzJVVVVYsmQJQkNDER4ejoceegh1dXVduXwiIupldqsD3+4+h7/8Vz7+9f4p1FVbEBSmx42LxuCBX8/C1LlJDDTU43yuqdmyZQtyc3Oxfv16ZGVlYd26dcjJyUFhYSGio6M97hMaGorCwkLXsiRJbttffvllvP7669i0aRNSU1Pxq1/9Cjk5Ofjuu+9cAWjJkiUoLy/Hjh07YLPZsGzZMjzyyCN47733fL0FIiLqJTarA8f/dQGH/1mGBpMVABAcoSA9Jxnjr4+DVscgQ71HEkIIX3bIysrCjBkz8Ic//AEAoKoqkpKS8NOf/hQrV65sU37jxo14/PHHYTQaPR5PCIH4+Hj8/Oc/x5NPPgkAqKmpQUxMDDZu3IjFixfjxIkTmDBhAgoKCpCZmQkAyMvLw/z583H+/HnEx8d3eN0mkwlhYWGoqalBaGioL7dMREQdsFkcOLb3Ag7vKEVjrQ0AEBypIOP2FIyfFQeNrksNA0Q+fX779FNmtVpx8OBBZGdnXzuALCM7Oxv5+fle96urq0NycjKSkpJw55134vjx465tZ8+eRUVFhdsxw8LCkJWV5Tpmfn4+wsPDXYEGALKzsyHLMvbv3+/xnBaLBSaTye1FREQ9y2q249Cnpfj/frkP+/7vNBprbQgZZsCc+8fh/hdnYdJNCQw01Gd8an66cuUKHA4HYmJi3NbHxMTg5MmTHvdJS0vDhg0bMGXKFNTU1ODVV1/F7Nmzcfz4cSQmJqKiosJ1jNbHbN5WUVHRpmlLq9UiMjLSVaa1NWvW4IUXXvDl9oiIqJOsjXZ8u+c8vvnsHMz1zpqZ0OEByLwjGWOzYqHRMMhQ3+v10U+zZs3CrFmzXMuzZ8/G+PHj8dZbb2H16tW9dt5Vq1YhNzfXtWwymZCUlNRr5yMiGgosjXZ8u+scvtl5DpYGOwAgLDoAmfNTMHZGDGSGGepHPoWaqKgoaDQaVFZWuq2vrKxEbGxsp46h0+kwffp0nD59GgBc+1VWViIuLs7tmNOmTXOVuXTpkttx7HY7qqqqvJ5XURQoitKpayIiovaZ623OMLPrPKyNzjATHhOIzPkpGJMZzTBDA4JPP4V6vR4ZGRnYuXOna52qqti5c6dbbUx7HA4Hjh496gowqampiI2NdTumyWTC/v37XcecNWsWjEYjDh486Cqza9cuqKqKrKwsX26BiIh8YK63Yf/fz+DdX+5DwbYSWBvtiIgLwryHJuLe57KQlhXLQEMDhs/NT7m5uVi6dCkyMzMxc+ZMrFu3DvX19Vi2bBkA4MEHH0RCQgLWrFkDAHjxxRdx3XXXYfTo0TAajXjllVdQWlqKhx9+GIBzePfjjz+OX//61xgzZoxrSHd8fDzuuusuAMD48eNx++23Y/ny5Vi/fj1sNhtWrFiBxYsXd2rkExER+aaxzoojn53D0d3nYbM4AACR8UGYsSAVo6YPhyRLHRyBqO/5HGoWLVqEy5cv49lnn0VFRQWmTZuGvLw8V0ffsrIyyPK11F5dXY3ly5ejoqICERERyMjIwL59+zBhwgRXmaeffhr19fV45JFHYDQaccMNNyAvL89tkr7NmzdjxYoVmDt3LmRZxt13343XX3+9O/dOREStNNZacXhHGY7uvQB7U5gZlhiMGQtSMHIqwwwNbD7PUzNYcZ4aIiLvGkxWHP5nKY796wLsVhUAMHxECDLnpyB1ShTDDPUbXz6/+ewnIqIhrL7GgsOfluH45xdgtznDTHRyCGYsSEXy5GFtZoAnGsgYaoiIhqC6agsO/bMU331+EQ67M8zEpIZixoJUjJgYyTBDgxJDDRHREFJbZcahT0vx3ZcXodqdvQ9iR4Zhxr+lIGk8wwwNbgw1RERDgOlqIw7lleLEvnKoDmeYiRsdhhn/lorEtAiGGfILDDVERH7MdKURBz8pwcn8CqiqM8wkjA3HjAWpSEiL6OerI+pZDDVERH6o5nIDDnxSisKvKiCawkziuAjMWJCC+DEMM+SfGGqIiPyIsbIBBz4pwamvK11hJmlCJGbMT0Hc6PD+vTiiXsZQQ0TkB6or6nFgewmKCirRPPvYiInDMGNBCmJHhvXvxRH1EYYaIqJBrOpiPQ5sP4uig5eApjCTMnkYMhekIiaFE43S0MJQQ0Q0CF29UIeCbSUoPnwtzKROjcKMBakYPiKkfy+OqJ8w1HSTqgqUFxlRb7IgKFRB3JhwyJxOnIh6yZXztSjYVoIzhy+71o2aPhwZ81MwPIlhhoY2hppuKD58CZ9vKUK90eJaFxSu4MZFYzBqenQ/XhkR+ZvLZbUo2HYWZ7+54lwhAaPTo5E5PwXDEoL79+KIBgiGmi4qPnwJeW8da7O+3mhB3lvHcPujkxhsiKjbKktMOLDtLEqOXnWukIAxmTHIuCMZw+IZZohaYqjpAlUV+HxLUbtlvvhrEVKnDmdTFBF1ScWZGhRsK0HZcWeYkSRgzMwYZN6RgojYoH6+OqKBiaGmC8qLjG5NTp7UVVtw+mAlRqVHQ6OR++jKiGiwKz9tRMH2Epz7rgoAIMkS0mbGIOOOFITHBPbz1RENbAw1XVBvaj/QNNvx9nfYseE7BIXqERRhQEiEguAIA4Ijm/5tWg4M07NGh2iIu1hUjYJtJTh/shqAM8yMuy4W6bcnIzyaYYaoMxhquiAoVOlUOUkGhArU11hRX2PFpRLP5WRZQmC4HiEtgk7r4BMQouMD54j8jBACF04ZcWDbWVw4ZQTg/H0wbnYcMm5PRmhUQP9eINEgw1DTBXFjwhEUrrTbBBUcoeD+1bNgabCjrtqMuioLaqvNqKu2uJbrqs2or7FCVYVzucr78TRaGUERyrXanggFwZEGBIcrrgCkBGoZfIgGASEEzhdWo2DrWZSfrgEAyBoJ46+PR3rOCIQOY5gh6gqGmi6QZQk3LhrjcfRTsxvuGQONVkZgqB6BoXpEJ3supzpUNJisqKu2oLaqReiptqCuabmh1gqHXYXpciNMlxu9nlOraJwhpznwRChtan/0Bv6XE/UXIQTOnahCwdYSVJxpCjNaCROuj0d6TjJCIg39fIVEg5skRPNTQvybyWRCWFgYampqEBraM1OHe5qnJjhCwQ339Ow8NQ67inqjpU3gqW2xbK6zdepY+gCtW8hxq/lp+ler1/TYtRORM8yUHa9CwbazqDxrAuCsfZ1wYzzS5yUjOKJzTdpEQ5Evn98MNd00UGYUtlsd7qGnuin0VF1bZ220d+pYhmCdW8hp/jqkqZkrKFyBRssRXUQdEUKg9OhVFGw7i0ultQAAjU7GpBsTMD1nBILCGGaIOuLL5zfbIrpJliUkpEX092VAq9cgPCaw3SGfVrPdLeTUVptRX91y2QK7xQFznQ3mOhuunKvzfCAJCAzRuzVzNQegkKblwDCFI7poyBJC4Ow3V1Cw7azrfaTVy5h0UwKm3cYwQ9RbGGqGEL1Bi8h4LSLjPU/cJYRo6tjctl9Pc81PfbUFDruzH1CDyer667M1SZYQFKZ3H8nVolNzcISCwBA9JAYf8iNCFThz5DIKtpfg6vmmMKNoMOWWBEydOwKBofp+vkIi/8ZQQy6SJMEQpIMhSIeoRM/Trwsh0Fhrc2vmalP7Y7RCqKJpuwU44/l8slZq6tjsXtvTspOzEsQRXTTwCVXg9KFLOLC9BFUX6wEAOoMGU25JxNTsJAQEM8wQ9QWGGvKJJEkdj+hSBRpNVucQ9ir3fj7NtT/1JitUu4DpihmmK2av59Pq5BZNXJ6Djz6AP8bUP1RV4PTBShzYXorqcmeY0Rs0mHJrEqbOTYIhSNfPV0g0tPDTgHqcLEsIClcQFK4AqZ7LOBytRnRVWdp0dG6stcFuU2GsbICxssHr+fQGTYsZm9v28wmONEDHEV3Ug1SHiqIDzpqZ5p9NJVCLKbcmYcqcRIYZon7CUEP9QqORETosoN1Jxuw2h6sJyxV8jO5NXpYGO6xmB6zl9a6/lD1RgrTOEVxeZmwODleg0XFEF7VPdag49XUlDnxSgppLzjmjlEAtpmUnYfKcJCisNSTqV3wH0oCl1WkQHh3Y7nNvrGa7s8an9YzNLTo52ywOWOrtsNTXuTpvehIQqnebtyeo5eSFkQYEhekh8+GkQ5LDoaLwqwoc/KTE1VxqCNJh2m1JmHxzIptAiQYIvhNpUNMbtNDHahER631El7XR7nnG5ha1Pw6bikaTFY3tjeiSgMCwFn17ItvO2MwRXf7FYVdxMr8cB/NKUXu1KcwE6zD9thGYdHMCZ+gmGmD4jiS/JkkSlEAdlEAdhiV4H9FlrrO1nbywRSfneqMFqkOg3uj8unlW2NZkjbM/UesJC1v28TEE8+GkA53DpuJEfjkO5pW4nskWEKLD9HnJmHRTAnQK+2gRDUQMNTTkSZKEgBA9AkL0GD4ixGMZoQo01FrbDF9vudxQ4ww+tVfNTX/V13g8lkYnt5mzp/XkhfoADmXvD3abAye+LMehT0ud0xEACAzVIz0nGRNujGeHc6IBjqGGqBOckwkqCApTEJPqeZpu1aGivsbq6stT23IIu9E5Y3OjyQqHTUXN5UbUtPNwUp2i8Txjc4tOzqwt6Dl2qwPffXkRh/JKUV9jBQAEhemRfnsyJlwfz+ehEQ0SDDVEPUTWyAiJNLT7pGWHTb02gqvV5IXNDyi11NthszhQXdGA6grvQ9mVQG27MzYHRyjQ6vhh3B6b1YHj/7qAw/8sQ4PJGWaCIxSk5yRj/PVx/P4RDTIMNUR9SKOTETY8AGHDvQ9lt1kcHicsbH4+V121GTazA5YGOywNdbh6oZ0RXSE6DzM2txjhFa5AMwRHdNksDhzbewGHd5Sisdb5hPvgSAUZt6dg/Kw4Du8nGqQYaogGGJ2iQURskNcRXQBgabQ7g47R/flcrnl9qsyw21Q01trQWGvD5TLPI7ogAUGh+rYTFjbXAIUbEBim95uHk1rN9qYwUwZznTPMhAwzIPOOFKRdF8unzxMNcl0KNW+++SZeeeUVVFRUYOrUqXjjjTcwc+bMDvd7//33ce+99+LOO+/Exx9/7FrvrUPkyy+/jKeeegoAkJKSgtLSUrfta9aswcqVK7tyC0SDmhKghZIQ3O6ILku93a1fT5vh7NVNI7pqrKivsaLyrOdzybKEwHB9m+HrLQNQQMjAHtFlbbTj2z3n8c1n52Cud4aZ0OEByLwjGWOzYodkbRWRP/I51GzZsgW5ublYv349srKysG7dOuTk5KCwsBDR0dFe9yspKcGTTz6JG2+8sc228vJyt+VPPvkEDz30EO6++2639S+++CKWL1/uWg4J8TxShWiokyQJhmAdDME6DE/qYESXhweTNq+rr7FCVYVzW9PQZk80WrlpssK2z+dqXlYCe2dEl6oKlBcZUW+yIChUQdyYcFfNkqXRjm93ncM3O8/B0mAHAIRFByBzfgrGzojhZIpEfsbnULN27VosX74cy5YtAwCsX78e27Ztw4YNG7zWmjgcDixZsgQvvPACPv/8cxiNRrftsbGxbst/+9vfMGfOHIwcOdJtfUhISJuyRNQ1biO6UryP6GowWT1PXti03GCywmFXYbrcCFM7I7q0iuba87kiDO4zNjfV/vg6mV3x4Uv4fEsR6o3XAldQuILr7hwJ05VGfLPrPKyNzjATHhOIzPkpGJMZzTBD5KckIYTobGGr1YrAwED87//+L+666y7X+qVLl8JoNOJvf/ubx/2ee+45fPvtt/joo4/wwx/+EEaj0a35qaXKykokJiZi06ZNuO+++1zrU1JSYDabYbPZMGLECNx333144oknoNV6/iVosVhgsVz7RWcymZCUlISamhqEhnr+BU5EvnPYmx9O6j5hYcsaoOYmn47oA7StZmxuO5dP8/Dq4sOXkPfWsQ6PGREXhBnzUzAqI9pv+gYRDSUmkwlhYWGd+vz26c+iK1euwOFwICYmxm19TEwMTp486XGfL774Am+//TaOHDnSqXNs2rQJISEh+P73v++2/rHHHkN6ejoiIyOxb98+rFq1CuXl5Vi7dq3H46xZswYvvPBCp85JRF2n0coIjQpAaFQ7I7qsDtS3nrG52uLW5GVttMPaaEdVox1VF70/nNQQrENQuB7GSu+1QoCzJuq2ZRMwOiOaj64gGiJ6dfRTbW0tHnjgAfz5z39GVFRUp/bZsGEDlixZAoPBfa6P3Nxc19dTpkyBXq/Ho48+ijVr1kBRlDbHWbVqlds+zTU1RNT3dHoNwmMCER7T/sNJ28zY3KqTs92qwlxnc41cao9QBQJD+SwuoqHEp1ATFRUFjUaDyspKt/WVlZUe+7oUFxejpKQECxcudK1TVdV5Yq0WhYWFGDVqlGvb559/jsLCQmzZsqXDa8nKyoLdbkdJSQnS0tLabFcUxWPYIaKBSW/QIjJei8h47w8ntTTYUVdtRuH+ChzZca7DY9abvHduJiL/41NvOb1ej4yMDOzcudO1TlVV7Ny5E7NmzWpTfty4cTh69CiOHDnien3ve9/DnDlzcOTIkTY1J2+//TYyMjIwderUDq/lyJEjkGW53RFXROQ/JEmCIUiHqMQQpEzqXM1vUCj/sCEaSnxufsrNzcXSpUuRmZmJmTNnYt26daivr3eNhnrwwQeRkJCANWvWwGAwYNKkSW77h4eHA0Cb9SaTCR988AF+97vftTlnfn4+9u/fjzlz5iAkJAT5+fl44okncP/99yMiIsLXWyCiQS5uTDiCwhW3UU+tBUc4h3cT0dDhc6hZtGgRLl++jGeffRYVFRWYNm0a8vLyXJ2Hy8rKIMu+D5d8//33IYTAvffe22aboih4//338fzzz8NisSA1NRVPPPGEW58ZIho6ZFnCjYvGtDv66YZ7xnC0E9EQ49OQ7sHMlyFhRDQ4eJqnJjhCwQ33jMGo6WyaJvIHvTakm4hoIBk1PRqpU4d7nVGYiIYWhhoiGtRkWUJCGvvWEZGPo5+IiIiIBiqGGiIiIvILDDVERETkFxhqiIiIyC8w1BAREZFfYKghIiIiv8BQQ0RERH6BoYaIiIj8AkMNERER+YUhM6Nw8yOuTCZTP18JERERdVbz53ZnHlU5ZEJNbW0tACApKamfr4SIiIh8VVtbi7CwsHbLDJmndKuqiosXLyIkJASS1LMPuzOZTEhKSsK5c+f88gngvL/Bz9/v0d/vD/D/e+T9DX69dY9CCNTW1iI+Ph6y3H6vmSFTUyPLMhITE3v1HKGhoX77wwrw/vyBv9+jv98f4P/3yPsb/HrjHjuqoWnGjsJERETkFxhqiIiIyC8w1PQARVHw3HPPQVGU/r6UXsH7G/z8/R79/f4A/79H3t/gNxDucch0FCYiIiL/xpoaIiIi8gsMNUREROQXGGqIiIjILzDUEBERkV9gqGnyr3/9CwsXLkR8fDwkScLHH3/cbvk9e/ZAkqQ2r4qKinb3ufPOOxEXF4egoCBMmzYNmzdv7uE7IRqcfH0PAoDFYsEvf/lLJCcnQ1EUpKSkYMOGDe3uU1ZWhgULFiAwMBDR0dF46qmnYLfbe+guiAavNWvWYMaMGQgJCUF0dDTuuusuFBYWdrjfBx98gHHjxsFgMGDy5MnYvn17h/vs2bMH6enpUBQFo0ePxsaNG3vgDhhqXOrr6zF16lS8+eabPu1XWFiI8vJy1ys6Otpr2X379mHKlCn48MMP8e2332LZsmV48MEHsXXr1u5ePtGg15X34D333IOdO3fi7bffRmFhIf7nf/4HaWlpXss7HA4sWLAAVqsV+/btw6ZNm7Bx40Y8++yzPXELRIPa3r178ZOf/ARfffUVduzYAZvNhnnz5qG+vt7rPvv27cO9996Lhx56CIcPH8Zdd92Fu+66C8eOHfO6z9mzZ7FgwQLMmTMHR44cweOPP46HH34Yn376afdvQlAbAMRHH33Ubpndu3cLAKK6urpb55o/f75YtmxZt45B5G868x785JNPRFhYmLh69Wqnj7t9+3Yhy7KoqKhwrfvTn/4kQkNDhcVi6erlEvmlS5cuCQBi7969Xsvcc889YsGCBW7rsrKyxKOPPup1n6efflpMnDjRbd2iRYtETk5O9y5YCMGamm6aNm0a4uLicNttt+HLL7/0ef+amhpERkb2wpUR+be///3vyMzMxMsvv4yEhASMHTsWTz75JBobG73uk5+fj8mTJyMmJsa1LicnByaTCcePH++LyyYaNGpqagCg3c+o/Px8ZGdnu63LyclBfn5+j+7TWUPmgZY9LS4uDuvXr0dmZiYsFgv++7//G7fccgv279+P9PT0Th3jr3/9KwoKCvDWW2/18tUS+Z8zZ87giy++gMFgwEcffYQrV67gxz/+Ma5evYp33nnH4z4VFRVugQaAa7m9/nBEQ42qqnj88cdx/fXXY9KkSV7LeXtPtfd+8raPyWRCY2MjAgICunzdDDVdlJaW5tZ2P3v2bBQXF+O1117Du+++2+H+u3fvxrJly/DnP/8ZEydO7M1LJfJLqqpCkiRs3rzZ9QTftWvX4gc/+AH++Mc/dusXI9FQ95Of/ATHjh3DF1980d+X4hM2P/WgmTNn4vTp0x2W27t3LxYuXIjXXnsNDz74YB9cGZH/iYuLQ0JCgivQAMD48eMhhMD58+c97hMbG4vKykq3dc3LsbGxvXexRIPIihUrsHXrVuzevRuJiYntlvX2nmrv/eRtn9DQ0G7/McJQ04OOHDmCuLi4dsvs2bMHCxYswG9/+1s88sgjfXRlRP7n+uuvx8WLF1FXV+dad+rUKciy7PUX8axZs3D06FFcunTJtW7Hjh0IDQ3FhAkTev2aiQYyIQRWrFiBjz76CLt27UJqamqH+8yaNQs7d+50W7djxw7MmjWrR/fptG53NfYTtbW14vDhw+Lw4cMCgFi7dq04fPiwKC0tFUIIsXLlSvHAAw+4yr/22mvi448/FkVFReLo0aPiZz/7mZBlWXz22WeuMm+88Ya49dZbXcu7du0SgYGBYtWqVaK8vNz18mX0BpG/8vU9WFtbKxITE8UPfvADcfz4cbF3714xZswY8fDDD7vK/N///Z9IS0tzLdvtdjFp0iQxb948ceTIEZGXlyeGDx8uVq1a1Xc3SjRA/ehHPxJhYWFiz549bp9RDQ0NrjIPPPCAWLlypWv5yy+/FFqtVrz66qvixIkT4rnnnhM6nU4cPXrUVab1e/fMmTMiMDBQPPXUU+LEiRPizTffFBqNRuTl5XX7HhhqmjQP0W79Wrp0qRBCiKVLl4qbb77ZVf63v/2tGDVqlDAYDCIyMlLccsstYteuXW7HfO6550RycrJreenSpR7P0fK4REOVr+9BIYQ4ceKEyM7OFgEBASIxMVHk5ua6/QJ+5513ROu/3UpKSsQdd9whAgICRFRUlPj5z38ubDZbb98e0YDn6f0HQLzzzjuuMjfffLPrPdnsr3/9qxg7dqzQ6/Vi4sSJYtu2bW7bPb13d+/eLaZNmyb0er0YOXKk2zm6Q2q6ESIiIqJBjX1qiIiIyC8w1BAREZFfYKghIiIiv8BQQ0RERH6BoYaIiIj8AkMNERER+QWGGiIiIvILDDVERB6kpKRg3bp1/X0ZROQDTr5HRD1mz549mDNnDqqrqxEeHt7fl9Mtly9fRlBQEAIDA/v7Uoiok7T9fQFERH3NarVCr9e3W2b48OF9dDVE1FPY/EREPrFYLHjssccQHR0Ng8GAG264AQUFBSgpKcGcOXMAABEREZAkCT/84Q9x+fJlxMbG4je/+Y3rGPv27YNer2/zpN7WTp06BUmScPLkSbf1r732GkaNGuVaPnbsGO644w4EBwcjJiYGDzzwAK5cueLafsstt2DFihV4/PHHERUVhZycHAgh8Pzzz2PEiBFQFAXx8fF47LHHXPu0bn4qKyvDnXfeieDgYISGhuKee+5BZWWla/vzzz+PadOm4d1330VKSgrCwsKwePFi1NbW+vYNJqIuY6ghIp88/fTT+PDDD7Fp0yYcOnQIo0ePRk5ODkJCQvDhhx8CAAoLC1FeXo7f//73GD58ODZs2IDnn38eBw4cQG1tLR544AGsWLECc+fObfdcY8eORWZmJjZv3uy2fvPmzbjvvvsAAEajEbfeeiumT5+OAwcOIC8vD5WVlbjnnnvc9tm0aRP0ej2+/PJLrF+/Hh9++CFee+01vPXWWygqKsLHH3+MyZMne7wOVVVx5513oqqqCnv37sWOHTtw5swZLFq0yK1ccXExPv74Y2zduhVbt27F3r178dJLL/n0/SWibuiRx2IS0ZBQV1cndDqd2Lx5s2ud1WoV8fHx4uWXX3Y9abu6urrNvj/+8Y/F2LFjxX333ScmT54szGZzp8752muviVGjRrmWCwsLBQBx4sQJIYQQq1evFvPmzXPb59y5cwKAKCwsFEI4nyw8ffp0tzK/+93vxNixY4XVavV43uTkZPHaa68JIYT45z//KTQajSgrK3NtP378uAAgvv76ayGEEM8995wIDAwUJpPJVeapp54SWVlZnbpPIuo+1tQQUacVFxfDZrPh+uuvd63T6XSYOXMmTpw40e6+r776Kux2Oz744ANs3rwZiqJ06pyLFy9GSUkJvvrqKwDOWpr09HSMGzcOAPDNN99g9+7dCA4Odr2atxUXF7uOk5GR4Xbc//iP/0BjYyNGjhyJ5cuX46OPPoLdbvd4DSdOnEBSUhKSkpJc6yZMmIDw8HC3+05JSUFISIhrOS4uDpcuXerUfRJR9zHUEFGfKC4uxsWLF6GqKkpKSjq9X2xsLG699Va89957AID33nsPS5YscW2vq6vDwoULceTIEbdXUVERbrrpJle5oKAgt+MmJSWhsLAQf/zjHxEQEIAf//jHuOmmm2Cz2bp8jzqdzm1ZkiSoqtrl4xGRbxhqiKjTRo0a5eqX0sxms6GgoAATJkxwjShyOBxu+1mtVtx///1YtGgRVq9ejYcfftinGowlS5Zgy5YtyM/Px5kzZ7B48WLXtvT0dBw/fhwpKSkYPXq026t1kGktICAACxcuxOuvv449e/YgPz8fR48ebVNu/PjxOHfuHM6dO+da991338FoNGLChAmdvg8i6l0MNUTUaUFBQfjRj36Ep556Cnl5efjuu++wfPlyNDQ04KGHHkJycjIkScLWrVtx+fJl1NXVAQB++ctfoqamBq+//jqeeeYZjB07Fv/5n//Z6fN+//vfR21tLX70ox9hzpw5iI+Pd237yU9+gqqqKtx7770oKChAcXExPv30UyxbtqxNuGpp48aNePvtt3Hs2DGcOXMGf/nLXxAQEIDk5OQ2ZbOzszF58mQsWbIEhw4dwtdff40HH3wQN998MzIzM334DhJRb2KoISKfvPTSS7j77rvxwAMPID09HadPn8ann36KiIgIJCQk4IUXXsDKlSsRExODFStWYM+ePVi3bh3effddhIaGQpZlvPvuu/j888/xpz/9qVPnDAkJwcKFC/HNN9+4NT0BQHx8PL788ks4HA7MmzcPkydPxuOPP47w8HDIsvdfceHh4fjzn/+M66+/HlOmTMFnn32Gf/zjHxg2bFibspIk4W9/+xsiIiJw0003ITs7GyNHjsSWLVt8++YRUa/ijMJERETkF1hTQ0RERH6BoYaI+tXEiRPdhmO3fLWedI+IqD1sfiKiflVaWup1GHVMTIzbvC9ERO1hqCEiIiK/wOYnIiIi8gsMNUREROQXGGqIiIjILzDUEBERkV9gqCEiIiK/wFBDREREfoGhhoiIiPwCQw0RERH5hf8fqGTd21ewdCUAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"detection\"\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
    ]
   },
   {
@@ -4231,966 +195,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">large</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/f1-score</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"21\" valign=\"top\">instance_segmentation</th>\n",
-       "      <th rowspan=\"3\" valign=\"top\">all</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.696079</td>\n",
-       "      <td>0.212765</td>\n",
-       "      <td>428.611111</td>\n",
-       "      <td>238.535505</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.722487</td>\n",
-       "      <td>0.218987</td>\n",
-       "      <td>636.666667</td>\n",
-       "      <td>147.592714</td>\n",
-       "      <td>0.669671</td>\n",
-       "      <td>0.206640</td>\n",
-       "      <td>220.555556</td>\n",
-       "      <td>66.462465</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.694077</td>\n",
-       "      <td>0.216897</td>\n",
-       "      <td>469.905556</td>\n",
-       "      <td>272.033738</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.725643</td>\n",
-       "      <td>0.214996</td>\n",
-       "      <td>699.066667</td>\n",
-       "      <td>191.797115</td>\n",
-       "      <td>0.662510</td>\n",
-       "      <td>0.217776</td>\n",
-       "      <td>240.744444</td>\n",
-       "      <td>71.547465</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.692212</td>\n",
-       "      <td>0.173157</td>\n",
-       "      <td>412.591923</td>\n",
-       "      <td>335.058244</td>\n",
-       "      <td>0.561832</td>\n",
-       "      <td>0.04465</td>\n",
-       "      <td>307.870861</td>\n",
-       "      <td>135.972287</td>\n",
-       "      <td>0.772444</td>\n",
-       "      <td>0.149944</td>\n",
-       "      <td>726.968158</td>\n",
-       "      <td>311.002051</td>\n",
-       "      <td>0.677170</td>\n",
-       "      <td>0.193333</td>\n",
-       "      <td>150.576220</td>\n",
-       "      <td>43.437080</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">maskrcnn_efficientnetb2b</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.455910</td>\n",
-       "      <td>0.028018</td>\n",
-       "      <td>326.533333</td>\n",
-       "      <td>182.132580</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.434700</td>\n",
-       "      <td>0.013276</td>\n",
-       "      <td>491.000000</td>\n",
-       "      <td>82.749622</td>\n",
-       "      <td>0.477120</td>\n",
-       "      <td>0.021571</td>\n",
-       "      <td>162.066667</td>\n",
-       "      <td>12.919408</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.461997</td>\n",
-       "      <td>0.020244</td>\n",
-       "      <td>356.500000</td>\n",
-       "      <td>208.258461</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.448180</td>\n",
-       "      <td>0.015597</td>\n",
-       "      <td>549.400000</td>\n",
-       "      <td>66.395030</td>\n",
-       "      <td>0.475813</td>\n",
-       "      <td>0.014199</td>\n",
-       "      <td>163.600000</td>\n",
-       "      <td>12.318459</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.541728</td>\n",
-       "      <td>0.015624</td>\n",
-       "      <td>289.018947</td>\n",
-       "      <td>228.566702</td>\n",
-       "      <td>0.539351</td>\n",
-       "      <td>0.00667</td>\n",
-       "      <td>211.362224</td>\n",
-       "      <td>47.369743</td>\n",
-       "      <td>0.556079</td>\n",
-       "      <td>0.012111</td>\n",
-       "      <td>572.675808</td>\n",
-       "      <td>139.322058</td>\n",
-       "      <td>0.529754</td>\n",
-       "      <td>0.014815</td>\n",
-       "      <td>83.018810</td>\n",
-       "      <td>5.937532</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">maskrcnn_efficientnetb2b_tile</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.908520</td>\n",
-       "      <td>0.027065</td>\n",
-       "      <td>449.400000</td>\n",
-       "      <td>309.576126</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.933680</td>\n",
-       "      <td>0.007427</td>\n",
-       "      <td>731.400000</td>\n",
-       "      <td>128.385357</td>\n",
-       "      <td>0.883360</td>\n",
-       "      <td>0.003232</td>\n",
-       "      <td>167.400000</td>\n",
-       "      <td>18.474306</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.907773</td>\n",
-       "      <td>0.025610</td>\n",
-       "      <td>584.666667</td>\n",
-       "      <td>409.029414</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.931660</td>\n",
-       "      <td>0.004777</td>\n",
-       "      <td>959.800000</td>\n",
-       "      <td>153.917835</td>\n",
-       "      <td>0.883887</td>\n",
-       "      <td>0.005141</td>\n",
-       "      <td>209.533333</td>\n",
-       "      <td>30.547413</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.885213</td>\n",
-       "      <td>0.026622</td>\n",
-       "      <td>558.735292</td>\n",
-       "      <td>380.463272</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.908549</td>\n",
-       "      <td>0.014153</td>\n",
-       "      <td>915.563500</td>\n",
-       "      <td>83.083080</td>\n",
-       "      <td>0.861878</td>\n",
-       "      <td>0.005741</td>\n",
-       "      <td>201.907084</td>\n",
-       "      <td>21.770491</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">maskrcnn_r50</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.533810</td>\n",
-       "      <td>0.077434</td>\n",
-       "      <td>364.866667</td>\n",
-       "      <td>80.488355</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.606500</td>\n",
-       "      <td>0.014040</td>\n",
-       "      <td>439.200000</td>\n",
-       "      <td>26.395075</td>\n",
-       "      <td>0.461120</td>\n",
-       "      <td>0.009180</td>\n",
-       "      <td>290.533333</td>\n",
-       "      <td>8.126090</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.534367</td>\n",
-       "      <td>0.081863</td>\n",
-       "      <td>361.200000</td>\n",
-       "      <td>88.877527</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.610400</td>\n",
-       "      <td>0.009295</td>\n",
-       "      <td>442.000000</td>\n",
-       "      <td>22.704625</td>\n",
-       "      <td>0.458333</td>\n",
-       "      <td>0.023229</td>\n",
-       "      <td>280.400000</td>\n",
-       "      <td>30.596296</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.523647</td>\n",
-       "      <td>0.109784</td>\n",
-       "      <td>234.196772</td>\n",
-       "      <td>95.125006</td>\n",
-       "      <td>0.524566</td>\n",
-       "      <td>0.006375</td>\n",
-       "      <td>249.317997</td>\n",
-       "      <td>75.954041</td>\n",
-       "      <td>0.652662</td>\n",
-       "      <td>0.006055</td>\n",
-       "      <td>317.774784</td>\n",
-       "      <td>67.600832</td>\n",
-       "      <td>0.393713</td>\n",
-       "      <td>0.014005</td>\n",
-       "      <td>135.497534</td>\n",
-       "      <td>11.723947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">maskrcnn_r50_tile</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.902670</td>\n",
-       "      <td>0.026835</td>\n",
-       "      <td>450.200000</td>\n",
-       "      <td>282.280493</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.928020</td>\n",
-       "      <td>0.002764</td>\n",
-       "      <td>713.800000</td>\n",
-       "      <td>73.801761</td>\n",
-       "      <td>0.877320</td>\n",
-       "      <td>0.002463</td>\n",
-       "      <td>186.600000</td>\n",
-       "      <td>11.225962</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.902093</td>\n",
-       "      <td>0.027937</td>\n",
-       "      <td>452.066667</td>\n",
-       "      <td>267.324411</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.928420</td>\n",
-       "      <td>0.004203</td>\n",
-       "      <td>702.800000</td>\n",
-       "      <td>58.113682</td>\n",
-       "      <td>0.875767</td>\n",
-       "      <td>0.002374</td>\n",
-       "      <td>201.333333</td>\n",
-       "      <td>15.654250</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.890951</td>\n",
-       "      <td>0.017972</td>\n",
-       "      <td>495.746950</td>\n",
-       "      <td>388.570003</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.906390</td>\n",
-       "      <td>0.010444</td>\n",
-       "      <td>840.086523</td>\n",
-       "      <td>207.783741</td>\n",
-       "      <td>0.875512</td>\n",
-       "      <td>0.004661</td>\n",
-       "      <td>151.407376</td>\n",
-       "      <td>11.023524</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">maskrcnn_swint</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.482933</td>\n",
-       "      <td>0.051676</td>\n",
-       "      <td>500.700000</td>\n",
-       "      <td>193.476157</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.502600</td>\n",
-       "      <td>0.066057</td>\n",
-       "      <td>678.000000</td>\n",
-       "      <td>62.016127</td>\n",
-       "      <td>0.463267</td>\n",
-       "      <td>0.026037</td>\n",
-       "      <td>323.400000</td>\n",
-       "      <td>42.309311</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.459697</td>\n",
-       "      <td>0.064939</td>\n",
-       "      <td>551.166667</td>\n",
-       "      <td>207.050376</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.504800</td>\n",
-       "      <td>0.063940</td>\n",
-       "      <td>733.200000</td>\n",
-       "      <td>112.070067</td>\n",
-       "      <td>0.414593</td>\n",
-       "      <td>0.017724</td>\n",
-       "      <td>369.133333</td>\n",
-       "      <td>32.513758</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.622212</td>\n",
-       "      <td>0.051998</td>\n",
-       "      <td>397.383223</td>\n",
-       "      <td>177.948747</td>\n",
-       "      <td>0.621578</td>\n",
-       "      <td>0.00794</td>\n",
-       "      <td>462.932363</td>\n",
-       "      <td>103.506909</td>\n",
-       "      <td>0.682745</td>\n",
-       "      <td>0.005726</td>\n",
-       "      <td>545.741135</td>\n",
-       "      <td>97.840752</td>\n",
-       "      <td>0.562314</td>\n",
-       "      <td>0.017370</td>\n",
-       "      <td>183.476170</td>\n",
-       "      <td>21.562015</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">maskrcnn_swint_tile</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.892630</td>\n",
-       "      <td>0.039234</td>\n",
-       "      <td>479.966667</td>\n",
-       "      <td>307.582909</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.929420</td>\n",
-       "      <td>0.003533</td>\n",
-       "      <td>766.600000</td>\n",
-       "      <td>86.329601</td>\n",
-       "      <td>0.855840</td>\n",
-       "      <td>0.008197</td>\n",
-       "      <td>193.333333</td>\n",
-       "      <td>4.102845</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.898533</td>\n",
-       "      <td>0.033851</td>\n",
-       "      <td>513.833333</td>\n",
-       "      <td>316.750096</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.930400</td>\n",
-       "      <td>0.001642</td>\n",
-       "      <td>807.200000</td>\n",
-       "      <td>102.355752</td>\n",
-       "      <td>0.866667</td>\n",
-       "      <td>0.006074</td>\n",
-       "      <td>220.466667</td>\n",
-       "      <td>10.353743</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.884045</td>\n",
-       "      <td>0.052296</td>\n",
-       "      <td>659.058769</td>\n",
-       "      <td>552.208102</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>0.928237</td>\n",
-       "      <td>0.006831</td>\n",
-       "      <td>1169.967195</td>\n",
-       "      <td>178.130373</td>\n",
-       "      <td>0.839852</td>\n",
-       "      <td>0.034990</td>\n",
-       "      <td>148.150343</td>\n",
-       "      <td>42.450482</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                                                all  \\\n",
-       "metric                                                          test/f1-score   \n",
-       "stat                                                                     mean   \n",
-       "task                  model                         otx_version                 \n",
-       "instance_segmentation all                           1.5.2            0.696079   \n",
-       "                                                    1.6.0            0.694077   \n",
-       "                                                    2.0.0            0.692212   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2            0.455910   \n",
-       "                                                    1.6.0            0.461997   \n",
-       "                                                    2.0.0            0.541728   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2            0.908520   \n",
-       "                                                    1.6.0            0.907773   \n",
-       "                                                    2.0.0            0.885213   \n",
-       "                      maskrcnn_r50                  1.5.2            0.533810   \n",
-       "                                                    1.6.0            0.534367   \n",
-       "                                                    2.0.0            0.523647   \n",
-       "                      maskrcnn_r50_tile             1.5.2            0.902670   \n",
-       "                                                    1.6.0            0.902093   \n",
-       "                                                    2.0.0            0.890951   \n",
-       "                      maskrcnn_swint                1.5.2            0.482933   \n",
-       "                                                    1.6.0            0.459697   \n",
-       "                                                    2.0.0            0.622212   \n",
-       "                      maskrcnn_swint_tile           1.5.2            0.892630   \n",
-       "                                                    1.6.0            0.898533   \n",
-       "                                                    2.0.0            0.884045   \n",
-       "\n",
-       "data_group                                                                 \\\n",
-       "metric                                                                      \n",
-       "stat                                                                  std   \n",
-       "task                  model                         otx_version             \n",
-       "instance_segmentation all                           1.5.2        0.212765   \n",
-       "                                                    1.6.0        0.216897   \n",
-       "                                                    2.0.0        0.173157   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2        0.028018   \n",
-       "                                                    1.6.0        0.020244   \n",
-       "                                                    2.0.0        0.015624   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2        0.027065   \n",
-       "                                                    1.6.0        0.025610   \n",
-       "                                                    2.0.0        0.026622   \n",
-       "                      maskrcnn_r50                  1.5.2        0.077434   \n",
-       "                                                    1.6.0        0.081863   \n",
-       "                                                    2.0.0        0.109784   \n",
-       "                      maskrcnn_r50_tile             1.5.2        0.026835   \n",
-       "                                                    1.6.0        0.027937   \n",
-       "                                                    2.0.0        0.017972   \n",
-       "                      maskrcnn_swint                1.5.2        0.051676   \n",
-       "                                                    1.6.0        0.064939   \n",
-       "                                                    2.0.0        0.051998   \n",
-       "                      maskrcnn_swint_tile           1.5.2        0.039234   \n",
-       "                                                    1.6.0        0.033851   \n",
-       "                                                    2.0.0        0.052296   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                          train/e2e_time   \n",
-       "stat                                                                      mean   \n",
-       "task                  model                         otx_version                  \n",
-       "instance_segmentation all                           1.5.2           428.611111   \n",
-       "                                                    1.6.0           469.905556   \n",
-       "                                                    2.0.0           412.591923   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2           326.533333   \n",
-       "                                                    1.6.0           356.500000   \n",
-       "                                                    2.0.0           289.018947   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2           449.400000   \n",
-       "                                                    1.6.0           584.666667   \n",
-       "                                                    2.0.0           558.735292   \n",
-       "                      maskrcnn_r50                  1.5.2           364.866667   \n",
-       "                                                    1.6.0           361.200000   \n",
-       "                                                    2.0.0           234.196772   \n",
-       "                      maskrcnn_r50_tile             1.5.2           450.200000   \n",
-       "                                                    1.6.0           452.066667   \n",
-       "                                                    2.0.0           495.746950   \n",
-       "                      maskrcnn_swint                1.5.2           500.700000   \n",
-       "                                                    1.6.0           551.166667   \n",
-       "                                                    2.0.0           397.383223   \n",
-       "                      maskrcnn_swint_tile           1.5.2           479.966667   \n",
-       "                                                    1.6.0           513.833333   \n",
-       "                                                    2.0.0           659.058769   \n",
-       "\n",
-       "data_group                                                                   \\\n",
-       "metric                                                                        \n",
-       "stat                                                                    std   \n",
-       "task                  model                         otx_version               \n",
-       "instance_segmentation all                           1.5.2        238.535505   \n",
-       "                                                    1.6.0        272.033738   \n",
-       "                                                    2.0.0        335.058244   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2        182.132580   \n",
-       "                                                    1.6.0        208.258461   \n",
-       "                                                    2.0.0        228.566702   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2        309.576126   \n",
-       "                                                    1.6.0        409.029414   \n",
-       "                                                    2.0.0        380.463272   \n",
-       "                      maskrcnn_r50                  1.5.2         80.488355   \n",
-       "                                                    1.6.0         88.877527   \n",
-       "                                                    2.0.0         95.125006   \n",
-       "                      maskrcnn_r50_tile             1.5.2        282.280493   \n",
-       "                                                    1.6.0        267.324411   \n",
-       "                                                    2.0.0        388.570003   \n",
-       "                      maskrcnn_swint                1.5.2        193.476157   \n",
-       "                                                    1.6.0        207.050376   \n",
-       "                                                    2.0.0        177.948747   \n",
-       "                      maskrcnn_swint_tile           1.5.2        307.582909   \n",
-       "                                                    1.6.0        316.750096   \n",
-       "                                                    2.0.0        552.208102   \n",
-       "\n",
-       "data_group                                                              large  \\\n",
-       "metric                                                          test/f1-score   \n",
-       "stat                                                                     mean   \n",
-       "task                  model                         otx_version                 \n",
-       "instance_segmentation all                           1.5.2                       \n",
-       "                                                    1.6.0                       \n",
-       "                                                    2.0.0            0.561832   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2                       \n",
-       "                                                    1.6.0                       \n",
-       "                                                    2.0.0            0.539351   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2                       \n",
-       "                                                    1.6.0                       \n",
-       "                                                    2.0.0                       \n",
-       "                      maskrcnn_r50                  1.5.2                       \n",
-       "                                                    1.6.0                       \n",
-       "                                                    2.0.0            0.524566   \n",
-       "                      maskrcnn_r50_tile             1.5.2                       \n",
-       "                                                    1.6.0                       \n",
-       "                                                    2.0.0                       \n",
-       "                      maskrcnn_swint                1.5.2                       \n",
-       "                                                    1.6.0                       \n",
-       "                                                    2.0.0            0.621578   \n",
-       "                      maskrcnn_swint_tile           1.5.2                       \n",
-       "                                                    1.6.0                       \n",
-       "                                                    2.0.0                       \n",
-       "\n",
-       "data_group                                                                 \\\n",
-       "metric                                                                      \n",
-       "stat                                                                  std   \n",
-       "task                  model                         otx_version             \n",
-       "instance_segmentation all                           1.5.2                   \n",
-       "                                                    1.6.0                   \n",
-       "                                                    2.0.0         0.04465   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2                   \n",
-       "                                                    1.6.0                   \n",
-       "                                                    2.0.0         0.00667   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2                   \n",
-       "                                                    1.6.0                   \n",
-       "                                                    2.0.0                   \n",
-       "                      maskrcnn_r50                  1.5.2                   \n",
-       "                                                    1.6.0                   \n",
-       "                                                    2.0.0        0.006375   \n",
-       "                      maskrcnn_r50_tile             1.5.2                   \n",
-       "                                                    1.6.0                   \n",
-       "                                                    2.0.0                   \n",
-       "                      maskrcnn_swint                1.5.2                   \n",
-       "                                                    1.6.0                   \n",
-       "                                                    2.0.0         0.00794   \n",
-       "                      maskrcnn_swint_tile           1.5.2                   \n",
-       "                                                    1.6.0                   \n",
-       "                                                    2.0.0                   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                          train/e2e_time   \n",
-       "stat                                                                      mean   \n",
-       "task                  model                         otx_version                  \n",
-       "instance_segmentation all                           1.5.2                        \n",
-       "                                                    1.6.0                        \n",
-       "                                                    2.0.0           307.870861   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2                        \n",
-       "                                                    1.6.0                        \n",
-       "                                                    2.0.0           211.362224   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2                        \n",
-       "                                                    1.6.0                        \n",
-       "                                                    2.0.0                        \n",
-       "                      maskrcnn_r50                  1.5.2                        \n",
-       "                                                    1.6.0                        \n",
-       "                                                    2.0.0           249.317997   \n",
-       "                      maskrcnn_r50_tile             1.5.2                        \n",
-       "                                                    1.6.0                        \n",
-       "                                                    2.0.0                        \n",
-       "                      maskrcnn_swint                1.5.2                        \n",
-       "                                                    1.6.0                        \n",
-       "                                                    2.0.0           462.932363   \n",
-       "                      maskrcnn_swint_tile           1.5.2                        \n",
-       "                                                    1.6.0                        \n",
-       "                                                    2.0.0                        \n",
-       "\n",
-       "data_group                                                                   \\\n",
-       "metric                                                                        \n",
-       "stat                                                                    std   \n",
-       "task                  model                         otx_version               \n",
-       "instance_segmentation all                           1.5.2                     \n",
-       "                                                    1.6.0                     \n",
-       "                                                    2.0.0        135.972287   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2                     \n",
-       "                                                    1.6.0                     \n",
-       "                                                    2.0.0         47.369743   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2                     \n",
-       "                                                    1.6.0                     \n",
-       "                                                    2.0.0                     \n",
-       "                      maskrcnn_r50                  1.5.2                     \n",
-       "                                                    1.6.0                     \n",
-       "                                                    2.0.0         75.954041   \n",
-       "                      maskrcnn_r50_tile             1.5.2                     \n",
-       "                                                    1.6.0                     \n",
-       "                                                    2.0.0                     \n",
-       "                      maskrcnn_swint                1.5.2                     \n",
-       "                                                    1.6.0                     \n",
-       "                                                    2.0.0        103.506909   \n",
-       "                      maskrcnn_swint_tile           1.5.2                     \n",
-       "                                                    1.6.0                     \n",
-       "                                                    2.0.0                     \n",
-       "\n",
-       "data_group                                                             medium  \\\n",
-       "metric                                                          test/f1-score   \n",
-       "stat                                                                     mean   \n",
-       "task                  model                         otx_version                 \n",
-       "instance_segmentation all                           1.5.2            0.722487   \n",
-       "                                                    1.6.0            0.725643   \n",
-       "                                                    2.0.0            0.772444   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2            0.434700   \n",
-       "                                                    1.6.0            0.448180   \n",
-       "                                                    2.0.0            0.556079   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2            0.933680   \n",
-       "                                                    1.6.0            0.931660   \n",
-       "                                                    2.0.0            0.908549   \n",
-       "                      maskrcnn_r50                  1.5.2            0.606500   \n",
-       "                                                    1.6.0            0.610400   \n",
-       "                                                    2.0.0            0.652662   \n",
-       "                      maskrcnn_r50_tile             1.5.2            0.928020   \n",
-       "                                                    1.6.0            0.928420   \n",
-       "                                                    2.0.0            0.906390   \n",
-       "                      maskrcnn_swint                1.5.2            0.502600   \n",
-       "                                                    1.6.0            0.504800   \n",
-       "                                                    2.0.0            0.682745   \n",
-       "                      maskrcnn_swint_tile           1.5.2            0.929420   \n",
-       "                                                    1.6.0            0.930400   \n",
-       "                                                    2.0.0            0.928237   \n",
-       "\n",
-       "data_group                                                                 \\\n",
-       "metric                                                                      \n",
-       "stat                                                                  std   \n",
-       "task                  model                         otx_version             \n",
-       "instance_segmentation all                           1.5.2        0.218987   \n",
-       "                                                    1.6.0        0.214996   \n",
-       "                                                    2.0.0        0.149944   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2        0.013276   \n",
-       "                                                    1.6.0        0.015597   \n",
-       "                                                    2.0.0        0.012111   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2        0.007427   \n",
-       "                                                    1.6.0        0.004777   \n",
-       "                                                    2.0.0        0.014153   \n",
-       "                      maskrcnn_r50                  1.5.2        0.014040   \n",
-       "                                                    1.6.0        0.009295   \n",
-       "                                                    2.0.0        0.006055   \n",
-       "                      maskrcnn_r50_tile             1.5.2        0.002764   \n",
-       "                                                    1.6.0        0.004203   \n",
-       "                                                    2.0.0        0.010444   \n",
-       "                      maskrcnn_swint                1.5.2        0.066057   \n",
-       "                                                    1.6.0        0.063940   \n",
-       "                                                    2.0.0        0.005726   \n",
-       "                      maskrcnn_swint_tile           1.5.2        0.003533   \n",
-       "                                                    1.6.0        0.001642   \n",
-       "                                                    2.0.0        0.006831   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                          train/e2e_time   \n",
-       "stat                                                                      mean   \n",
-       "task                  model                         otx_version                  \n",
-       "instance_segmentation all                           1.5.2           636.666667   \n",
-       "                                                    1.6.0           699.066667   \n",
-       "                                                    2.0.0           726.968158   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2           491.000000   \n",
-       "                                                    1.6.0           549.400000   \n",
-       "                                                    2.0.0           572.675808   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2           731.400000   \n",
-       "                                                    1.6.0           959.800000   \n",
-       "                                                    2.0.0           915.563500   \n",
-       "                      maskrcnn_r50                  1.5.2           439.200000   \n",
-       "                                                    1.6.0           442.000000   \n",
-       "                                                    2.0.0           317.774784   \n",
-       "                      maskrcnn_r50_tile             1.5.2           713.800000   \n",
-       "                                                    1.6.0           702.800000   \n",
-       "                                                    2.0.0           840.086523   \n",
-       "                      maskrcnn_swint                1.5.2           678.000000   \n",
-       "                                                    1.6.0           733.200000   \n",
-       "                                                    2.0.0           545.741135   \n",
-       "                      maskrcnn_swint_tile           1.5.2           766.600000   \n",
-       "                                                    1.6.0           807.200000   \n",
-       "                                                    2.0.0          1169.967195   \n",
-       "\n",
-       "data_group                                                                   \\\n",
-       "metric                                                                        \n",
-       "stat                                                                    std   \n",
-       "task                  model                         otx_version               \n",
-       "instance_segmentation all                           1.5.2        147.592714   \n",
-       "                                                    1.6.0        191.797115   \n",
-       "                                                    2.0.0        311.002051   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2         82.749622   \n",
-       "                                                    1.6.0         66.395030   \n",
-       "                                                    2.0.0        139.322058   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2        128.385357   \n",
-       "                                                    1.6.0        153.917835   \n",
-       "                                                    2.0.0         83.083080   \n",
-       "                      maskrcnn_r50                  1.5.2         26.395075   \n",
-       "                                                    1.6.0         22.704625   \n",
-       "                                                    2.0.0         67.600832   \n",
-       "                      maskrcnn_r50_tile             1.5.2         73.801761   \n",
-       "                                                    1.6.0         58.113682   \n",
-       "                                                    2.0.0        207.783741   \n",
-       "                      maskrcnn_swint                1.5.2         62.016127   \n",
-       "                                                    1.6.0        112.070067   \n",
-       "                                                    2.0.0         97.840752   \n",
-       "                      maskrcnn_swint_tile           1.5.2         86.329601   \n",
-       "                                                    1.6.0        102.355752   \n",
-       "                                                    2.0.0        178.130373   \n",
-       "\n",
-       "data_group                                                              small  \\\n",
-       "metric                                                          test/f1-score   \n",
-       "stat                                                                     mean   \n",
-       "task                  model                         otx_version                 \n",
-       "instance_segmentation all                           1.5.2            0.669671   \n",
-       "                                                    1.6.0            0.662510   \n",
-       "                                                    2.0.0            0.677170   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2            0.477120   \n",
-       "                                                    1.6.0            0.475813   \n",
-       "                                                    2.0.0            0.529754   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2            0.883360   \n",
-       "                                                    1.6.0            0.883887   \n",
-       "                                                    2.0.0            0.861878   \n",
-       "                      maskrcnn_r50                  1.5.2            0.461120   \n",
-       "                                                    1.6.0            0.458333   \n",
-       "                                                    2.0.0            0.393713   \n",
-       "                      maskrcnn_r50_tile             1.5.2            0.877320   \n",
-       "                                                    1.6.0            0.875767   \n",
-       "                                                    2.0.0            0.875512   \n",
-       "                      maskrcnn_swint                1.5.2            0.463267   \n",
-       "                                                    1.6.0            0.414593   \n",
-       "                                                    2.0.0            0.562314   \n",
-       "                      maskrcnn_swint_tile           1.5.2            0.855840   \n",
-       "                                                    1.6.0            0.866667   \n",
-       "                                                    2.0.0            0.839852   \n",
-       "\n",
-       "data_group                                                                 \\\n",
-       "metric                                                                      \n",
-       "stat                                                                  std   \n",
-       "task                  model                         otx_version             \n",
-       "instance_segmentation all                           1.5.2        0.206640   \n",
-       "                                                    1.6.0        0.217776   \n",
-       "                                                    2.0.0        0.193333   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2        0.021571   \n",
-       "                                                    1.6.0        0.014199   \n",
-       "                                                    2.0.0        0.014815   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2        0.003232   \n",
-       "                                                    1.6.0        0.005141   \n",
-       "                                                    2.0.0        0.005741   \n",
-       "                      maskrcnn_r50                  1.5.2        0.009180   \n",
-       "                                                    1.6.0        0.023229   \n",
-       "                                                    2.0.0        0.014005   \n",
-       "                      maskrcnn_r50_tile             1.5.2        0.002463   \n",
-       "                                                    1.6.0        0.002374   \n",
-       "                                                    2.0.0        0.004661   \n",
-       "                      maskrcnn_swint                1.5.2        0.026037   \n",
-       "                                                    1.6.0        0.017724   \n",
-       "                                                    2.0.0        0.017370   \n",
-       "                      maskrcnn_swint_tile           1.5.2        0.008197   \n",
-       "                                                    1.6.0        0.006074   \n",
-       "                                                    2.0.0        0.034990   \n",
-       "\n",
-       "data_group                                                                      \\\n",
-       "metric                                                          train/e2e_time   \n",
-       "stat                                                                      mean   \n",
-       "task                  model                         otx_version                  \n",
-       "instance_segmentation all                           1.5.2           220.555556   \n",
-       "                                                    1.6.0           240.744444   \n",
-       "                                                    2.0.0           150.576220   \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2           162.066667   \n",
-       "                                                    1.6.0           163.600000   \n",
-       "                                                    2.0.0            83.018810   \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2           167.400000   \n",
-       "                                                    1.6.0           209.533333   \n",
-       "                                                    2.0.0           201.907084   \n",
-       "                      maskrcnn_r50                  1.5.2           290.533333   \n",
-       "                                                    1.6.0           280.400000   \n",
-       "                                                    2.0.0           135.497534   \n",
-       "                      maskrcnn_r50_tile             1.5.2           186.600000   \n",
-       "                                                    1.6.0           201.333333   \n",
-       "                                                    2.0.0           151.407376   \n",
-       "                      maskrcnn_swint                1.5.2           323.400000   \n",
-       "                                                    1.6.0           369.133333   \n",
-       "                                                    2.0.0           183.476170   \n",
-       "                      maskrcnn_swint_tile           1.5.2           193.333333   \n",
-       "                                                    1.6.0           220.466667   \n",
-       "                                                    2.0.0           148.150343   \n",
-       "\n",
-       "data_group                                                                  \n",
-       "metric                                                                      \n",
-       "stat                                                                   std  \n",
-       "task                  model                         otx_version             \n",
-       "instance_segmentation all                           1.5.2        66.462465  \n",
-       "                                                    1.6.0        71.547465  \n",
-       "                                                    2.0.0        43.437080  \n",
-       "                      maskrcnn_efficientnetb2b      1.5.2        12.919408  \n",
-       "                                                    1.6.0        12.318459  \n",
-       "                                                    2.0.0         5.937532  \n",
-       "                      maskrcnn_efficientnetb2b_tile 1.5.2        18.474306  \n",
-       "                                                    1.6.0        30.547413  \n",
-       "                                                    2.0.0        21.770491  \n",
-       "                      maskrcnn_r50                  1.5.2         8.126090  \n",
-       "                                                    1.6.0        30.596296  \n",
-       "                                                    2.0.0        11.723947  \n",
-       "                      maskrcnn_r50_tile             1.5.2        11.225962  \n",
-       "                                                    1.6.0        15.654250  \n",
-       "                                                    2.0.0        11.023524  \n",
-       "                      maskrcnn_swint                1.5.2        42.309311  \n",
-       "                                                    1.6.0        32.513758  \n",
-       "                                                    2.0.0        21.562015  \n",
-       "                      maskrcnn_swint_tile           1.5.2         4.102845  \n",
-       "                                                    1.6.0        10.353743  \n",
-       "                                                    2.0.0        42.450482  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/f1-score'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"instance_segmentation\"\n",
-    "import summary\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
    ]
   },
   {
@@ -5202,840 +214,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">large</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"24\" valign=\"top\">semantic_segmentation</th>\n",
-       "      <th rowspan=\"3\" valign=\"top\">all</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.801202</td>\n",
-       "      <td>0.080189</td>\n",
-       "      <td>452.066667</td>\n",
-       "      <td>404.472840</td>\n",
-       "      <td>0.873317</td>\n",
-       "      <td>0.025642</td>\n",
-       "      <td>866.685714</td>\n",
-       "      <td>391.846291</td>\n",
-       "      <td>0.832677</td>\n",
-       "      <td>0.024532</td>\n",
-       "      <td>385.942857</td>\n",
-       "      <td>198.198792</td>\n",
-       "      <td>0.697612</td>\n",
-       "      <td>0.031463</td>\n",
-       "      <td>103.571429</td>\n",
-       "      <td>33.241105</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.803278</td>\n",
-       "      <td>0.079803</td>\n",
-       "      <td>453.517460</td>\n",
-       "      <td>378.970507</td>\n",
-       "      <td>0.875509</td>\n",
-       "      <td>0.022410</td>\n",
-       "      <td>825.485714</td>\n",
-       "      <td>366.633041</td>\n",
-       "      <td>0.833951</td>\n",
-       "      <td>0.028135</td>\n",
-       "      <td>425.228571</td>\n",
-       "      <td>197.016584</td>\n",
-       "      <td>0.700373</td>\n",
-       "      <td>0.030760</td>\n",
-       "      <td>109.838095</td>\n",
-       "      <td>35.009651</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.910953</td>\n",
-       "      <td>0.070576</td>\n",
-       "      <td>302.838850</td>\n",
-       "      <td>324.003280</td>\n",
-       "      <td>0.942900</td>\n",
-       "      <td>0.038841</td>\n",
-       "      <td>604.485819</td>\n",
-       "      <td>368.933489</td>\n",
-       "      <td>0.931877</td>\n",
-       "      <td>0.040272</td>\n",
-       "      <td>251.122139</td>\n",
-       "      <td>153.782894</td>\n",
-       "      <td>0.858081</td>\n",
-       "      <td>0.087900</td>\n",
-       "      <td>52.908594</td>\n",
-       "      <td>25.014806</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dino_v2</th>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.941659</td>\n",
-       "      <td>0.007102</td>\n",
-       "      <td>140.043463</td>\n",
-       "      <td>91.298028</td>\n",
-       "      <td>0.947067</td>\n",
-       "      <td>0.000738</td>\n",
-       "      <td>249.571440</td>\n",
-       "      <td>60.417202</td>\n",
-       "      <td>0.944425</td>\n",
-       "      <td>0.003814</td>\n",
-       "      <td>117.517779</td>\n",
-       "      <td>20.152915</td>\n",
-       "      <td>0.933485</td>\n",
-       "      <td>0.005637</td>\n",
-       "      <td>53.041172</td>\n",
-       "      <td>5.079175</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">litehrnet_18</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.793200</td>\n",
-       "      <td>0.078512</td>\n",
-       "      <td>361.955556</td>\n",
-       "      <td>346.002451</td>\n",
-       "      <td>0.870560</td>\n",
-       "      <td>0.025089</td>\n",
-       "      <td>736.600000</td>\n",
-       "      <td>374.496729</td>\n",
-       "      <td>0.815900</td>\n",
-       "      <td>0.009569</td>\n",
-       "      <td>250.400000</td>\n",
-       "      <td>34.947103</td>\n",
-       "      <td>0.693140</td>\n",
-       "      <td>0.014617</td>\n",
-       "      <td>98.866667</td>\n",
-       "      <td>4.388115</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.787596</td>\n",
-       "      <td>0.085609</td>\n",
-       "      <td>316.733333</td>\n",
-       "      <td>225.156672</td>\n",
-       "      <td>0.867600</td>\n",
-       "      <td>0.012963</td>\n",
-       "      <td>573.600000</td>\n",
-       "      <td>176.199603</td>\n",
-       "      <td>0.816660</td>\n",
-       "      <td>0.034493</td>\n",
-       "      <td>271.200000</td>\n",
-       "      <td>74.048633</td>\n",
-       "      <td>0.678527</td>\n",
-       "      <td>0.019146</td>\n",
-       "      <td>105.400000</td>\n",
-       "      <td>3.226625</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.932344</td>\n",
-       "      <td>0.028567</td>\n",
-       "      <td>341.499501</td>\n",
-       "      <td>297.302349</td>\n",
-       "      <td>0.955495</td>\n",
-       "      <td>0.003147</td>\n",
-       "      <td>711.489397</td>\n",
-       "      <td>163.206770</td>\n",
-       "      <td>0.946434</td>\n",
-       "      <td>0.005825</td>\n",
-       "      <td>253.055289</td>\n",
-       "      <td>51.674060</td>\n",
-       "      <td>0.895104</td>\n",
-       "      <td>0.012676</td>\n",
-       "      <td>59.953815</td>\n",
-       "      <td>8.669003</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">litehrnet_18_old</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.789304</td>\n",
-       "      <td>0.076936</td>\n",
-       "      <td>293.022222</td>\n",
-       "      <td>165.675695</td>\n",
-       "      <td>0.855200</td>\n",
-       "      <td>0.013159</td>\n",
-       "      <td>475.600000</td>\n",
-       "      <td>72.268942</td>\n",
-       "      <td>0.824340</td>\n",
-       "      <td>0.023465</td>\n",
-       "      <td>300.400000</td>\n",
-       "      <td>63.184650</td>\n",
-       "      <td>0.688373</td>\n",
-       "      <td>0.017236</td>\n",
-       "      <td>103.066667</td>\n",
-       "      <td>3.766814</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.786153</td>\n",
-       "      <td>0.076305</td>\n",
-       "      <td>316.977778</td>\n",
-       "      <td>203.516992</td>\n",
-       "      <td>0.857220</td>\n",
-       "      <td>0.016596</td>\n",
-       "      <td>522.000000</td>\n",
-       "      <td>150.334627</td>\n",
-       "      <td>0.812720</td>\n",
-       "      <td>0.029946</td>\n",
-       "      <td>323.200000</td>\n",
-       "      <td>118.153290</td>\n",
-       "      <td>0.688520</td>\n",
-       "      <td>0.009787</td>\n",
-       "      <td>105.733333</td>\n",
-       "      <td>5.922650</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">litehrnet_s</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.776878</td>\n",
-       "      <td>0.083797</td>\n",
-       "      <td>283.000000</td>\n",
-       "      <td>207.511331</td>\n",
-       "      <td>0.837720</td>\n",
-       "      <td>0.016933</td>\n",
-       "      <td>520.400000</td>\n",
-       "      <td>168.684024</td>\n",
-       "      <td>0.828320</td>\n",
-       "      <td>0.018131</td>\n",
-       "      <td>245.200000</td>\n",
-       "      <td>14.342245</td>\n",
-       "      <td>0.664593</td>\n",
-       "      <td>0.016316</td>\n",
-       "      <td>83.400000</td>\n",
-       "      <td>4.316634</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.780684</td>\n",
-       "      <td>0.078185</td>\n",
-       "      <td>287.466667</td>\n",
-       "      <td>214.803483</td>\n",
-       "      <td>0.849200</td>\n",
-       "      <td>0.013897</td>\n",
-       "      <td>518.800000</td>\n",
-       "      <td>194.202729</td>\n",
-       "      <td>0.814100</td>\n",
-       "      <td>0.020779</td>\n",
-       "      <td>254.800000</td>\n",
-       "      <td>78.788959</td>\n",
-       "      <td>0.678753</td>\n",
-       "      <td>0.022780</td>\n",
-       "      <td>88.800000</td>\n",
-       "      <td>2.478799</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.900662</td>\n",
-       "      <td>0.136722</td>\n",
-       "      <td>274.812942</td>\n",
-       "      <td>216.038593</td>\n",
-       "      <td>0.957334</td>\n",
-       "      <td>0.002663</td>\n",
-       "      <td>531.122749</td>\n",
-       "      <td>106.230355</td>\n",
-       "      <td>0.946714</td>\n",
-       "      <td>0.004594</td>\n",
-       "      <td>243.058984</td>\n",
-       "      <td>74.218361</td>\n",
-       "      <td>0.797938</td>\n",
-       "      <td>0.213405</td>\n",
-       "      <td>50.257092</td>\n",
-       "      <td>12.274067</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">litehrnet_x</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.785993</td>\n",
-       "      <td>0.083017</td>\n",
-       "      <td>533.244444</td>\n",
-       "      <td>423.876675</td>\n",
-       "      <td>0.866300</td>\n",
-       "      <td>0.017787</td>\n",
-       "      <td>1016.400000</td>\n",
-       "      <td>365.829605</td>\n",
-       "      <td>0.813680</td>\n",
-       "      <td>0.005351</td>\n",
-       "      <td>422.000000</td>\n",
-       "      <td>121.644975</td>\n",
-       "      <td>0.678000</td>\n",
-       "      <td>0.013356</td>\n",
-       "      <td>161.333333</td>\n",
-       "      <td>7.457286</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.797547</td>\n",
-       "      <td>0.089478</td>\n",
-       "      <td>577.822222</td>\n",
-       "      <td>381.006017</td>\n",
-       "      <td>0.872980</td>\n",
-       "      <td>0.017022</td>\n",
-       "      <td>1003.600000</td>\n",
-       "      <td>230.680081</td>\n",
-       "      <td>0.840140</td>\n",
-       "      <td>0.017262</td>\n",
-       "      <td>556.000000</td>\n",
-       "      <td>153.632679</td>\n",
-       "      <td>0.679520</td>\n",
-       "      <td>0.025314</td>\n",
-       "      <td>173.866667</td>\n",
-       "      <td>9.191179</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.936045</td>\n",
-       "      <td>0.028982</td>\n",
-       "      <td>663.720018</td>\n",
-       "      <td>540.300234</td>\n",
-       "      <td>0.958721</td>\n",
-       "      <td>0.002324</td>\n",
-       "      <td>1350.001533</td>\n",
-       "      <td>90.593968</td>\n",
-       "      <td>0.949946</td>\n",
-       "      <td>0.004748</td>\n",
-       "      <td>540.464061</td>\n",
-       "      <td>95.793543</td>\n",
-       "      <td>0.899467</td>\n",
-       "      <td>0.018846</td>\n",
-       "      <td>100.694460</td>\n",
-       "      <td>19.656324</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">segnext_b</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.839918</td>\n",
-       "      <td>0.068165</td>\n",
-       "      <td>755.200000</td>\n",
-       "      <td>565.063430</td>\n",
-       "      <td>0.900560</td>\n",
-       "      <td>0.010430</td>\n",
-       "      <td>1380.000000</td>\n",
-       "      <td>287.963539</td>\n",
-       "      <td>0.869080</td>\n",
-       "      <td>0.018173</td>\n",
-       "      <td>747.600000</td>\n",
-       "      <td>265.132608</td>\n",
-       "      <td>0.750113</td>\n",
-       "      <td>0.009100</td>\n",
-       "      <td>138.000000</td>\n",
-       "      <td>10.453601</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.840502</td>\n",
-       "      <td>0.070198</td>\n",
-       "      <td>712.577778</td>\n",
-       "      <td>559.297738</td>\n",
-       "      <td>0.905700</td>\n",
-       "      <td>0.004395</td>\n",
-       "      <td>1326.600000</td>\n",
-       "      <td>391.804543</td>\n",
-       "      <td>0.867500</td>\n",
-       "      <td>0.010656</td>\n",
-       "      <td>670.000000</td>\n",
-       "      <td>243.076120</td>\n",
-       "      <td>0.748307</td>\n",
-       "      <td>0.016270</td>\n",
-       "      <td>141.133333</td>\n",
-       "      <td>22.823721</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.913254</td>\n",
-       "      <td>0.058105</td>\n",
-       "      <td>326.306775</td>\n",
-       "      <td>255.196579</td>\n",
-       "      <td>0.958464</td>\n",
-       "      <td>0.005264</td>\n",
-       "      <td>612.218633</td>\n",
-       "      <td>144.336964</td>\n",
-       "      <td>0.945740</td>\n",
-       "      <td>0.007987</td>\n",
-       "      <td>317.915808</td>\n",
-       "      <td>91.020347</td>\n",
-       "      <td>0.835558</td>\n",
-       "      <td>0.017472</td>\n",
-       "      <td>48.785884</td>\n",
-       "      <td>16.684130</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">segnext_s</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.826380</td>\n",
-       "      <td>0.075776</td>\n",
-       "      <td>490.133333</td>\n",
-       "      <td>450.091363</td>\n",
-       "      <td>0.899100</td>\n",
-       "      <td>0.007635</td>\n",
-       "      <td>1044.200000</td>\n",
-       "      <td>278.753834</td>\n",
-       "      <td>0.852820</td>\n",
-       "      <td>0.008922</td>\n",
-       "      <td>348.400000</td>\n",
-       "      <td>99.595683</td>\n",
-       "      <td>0.727220</td>\n",
-       "      <td>0.013569</td>\n",
-       "      <td>77.800000</td>\n",
-       "      <td>6.602188</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.823887</td>\n",
-       "      <td>0.074476</td>\n",
-       "      <td>508.777778</td>\n",
-       "      <td>421.939770</td>\n",
-       "      <td>0.891100</td>\n",
-       "      <td>0.017441</td>\n",
-       "      <td>1011.000000</td>\n",
-       "      <td>238.806407</td>\n",
-       "      <td>0.853140</td>\n",
-       "      <td>0.018563</td>\n",
-       "      <td>435.600000</td>\n",
-       "      <td>118.212943</td>\n",
-       "      <td>0.727420</td>\n",
-       "      <td>0.020387</td>\n",
-       "      <td>79.733333</td>\n",
-       "      <td>6.057135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.908043</td>\n",
-       "      <td>0.063181</td>\n",
-       "      <td>257.829828</td>\n",
-       "      <td>237.223319</td>\n",
-       "      <td>0.958401</td>\n",
-       "      <td>0.004527</td>\n",
-       "      <td>556.128453</td>\n",
-       "      <td>108.954920</td>\n",
-       "      <td>0.943163</td>\n",
-       "      <td>0.010303</td>\n",
-       "      <td>187.996527</td>\n",
-       "      <td>50.200930</td>\n",
-       "      <td>0.822566</td>\n",
-       "      <td>0.000015</td>\n",
-       "      <td>29.364503</td>\n",
-       "      <td>1.377366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">segnext_t</th>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>0.796742</td>\n",
-       "      <td>0.089296</td>\n",
-       "      <td>447.911111</td>\n",
-       "      <td>387.313713</td>\n",
-       "      <td>0.883780</td>\n",
-       "      <td>0.007440</td>\n",
-       "      <td>893.600000</td>\n",
-       "      <td>277.181890</td>\n",
-       "      <td>0.824600</td>\n",
-       "      <td>0.023395</td>\n",
-       "      <td>387.600000</td>\n",
-       "      <td>98.561149</td>\n",
-       "      <td>0.681847</td>\n",
-       "      <td>0.019098</td>\n",
-       "      <td>62.533333</td>\n",
-       "      <td>2.744692</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.806576</td>\n",
-       "      <td>0.080327</td>\n",
-       "      <td>454.266667</td>\n",
-       "      <td>362.375829</td>\n",
-       "      <td>0.884760</td>\n",
-       "      <td>0.009957</td>\n",
-       "      <td>822.800000</td>\n",
-       "      <td>280.833937</td>\n",
-       "      <td>0.833400</td>\n",
-       "      <td>0.010437</td>\n",
-       "      <td>465.800000</td>\n",
-       "      <td>173.730251</td>\n",
-       "      <td>0.701567</td>\n",
-       "      <td>0.007184</td>\n",
-       "      <td>74.200000</td>\n",
-       "      <td>7.504073</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.844660</td>\n",
-       "      <td>0.047138</td>\n",
-       "      <td>115.659425</td>\n",
-       "      <td>111.538807</td>\n",
-       "      <td>0.864816</td>\n",
-       "      <td>0.061111</td>\n",
-       "      <td>220.868525</td>\n",
-       "      <td>119.500245</td>\n",
-       "      <td>0.846713</td>\n",
-       "      <td>0.053972</td>\n",
-       "      <td>97.846522</td>\n",
-       "      <td>74.030194</td>\n",
-       "      <td>0.822452</td>\n",
-       "      <td>0.000116</td>\n",
-       "      <td>28.263229</td>\n",
-       "      <td>1.398035</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                               all            \\\n",
-       "metric                                             test/dice             \n",
-       "stat                                                    mean       std   \n",
-       "task                  model            otx_version                       \n",
-       "semantic_segmentation all              1.5.2        0.801202  0.080189   \n",
-       "                                       1.6.0        0.803278  0.079803   \n",
-       "                                       2.0.0        0.910953  0.070576   \n",
-       "                      dino_v2          2.0.0        0.941659  0.007102   \n",
-       "                      litehrnet_18     1.5.2        0.793200  0.078512   \n",
-       "                                       1.6.0        0.787596  0.085609   \n",
-       "                                       2.0.0        0.932344  0.028567   \n",
-       "                      litehrnet_18_old 1.5.2        0.789304  0.076936   \n",
-       "                                       1.6.0        0.786153  0.076305   \n",
-       "                      litehrnet_s      1.5.2        0.776878  0.083797   \n",
-       "                                       1.6.0        0.780684  0.078185   \n",
-       "                                       2.0.0        0.900662  0.136722   \n",
-       "                      litehrnet_x      1.5.2        0.785993  0.083017   \n",
-       "                                       1.6.0        0.797547  0.089478   \n",
-       "                                       2.0.0        0.936045  0.028982   \n",
-       "                      segnext_b        1.5.2        0.839918  0.068165   \n",
-       "                                       1.6.0        0.840502  0.070198   \n",
-       "                                       2.0.0        0.913254  0.058105   \n",
-       "                      segnext_s        1.5.2        0.826380  0.075776   \n",
-       "                                       1.6.0        0.823887  0.074476   \n",
-       "                                       2.0.0        0.908043  0.063181   \n",
-       "                      segnext_t        1.5.2        0.796742  0.089296   \n",
-       "                                       1.6.0        0.806576  0.080327   \n",
-       "                                       2.0.0        0.844660  0.047138   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                             train/e2e_time               \n",
-       "stat                                                         mean         std   \n",
-       "task                  model            otx_version                              \n",
-       "semantic_segmentation all              1.5.2           452.066667  404.472840   \n",
-       "                                       1.6.0           453.517460  378.970507   \n",
-       "                                       2.0.0           302.838850  324.003280   \n",
-       "                      dino_v2          2.0.0           140.043463   91.298028   \n",
-       "                      litehrnet_18     1.5.2           361.955556  346.002451   \n",
-       "                                       1.6.0           316.733333  225.156672   \n",
-       "                                       2.0.0           341.499501  297.302349   \n",
-       "                      litehrnet_18_old 1.5.2           293.022222  165.675695   \n",
-       "                                       1.6.0           316.977778  203.516992   \n",
-       "                      litehrnet_s      1.5.2           283.000000  207.511331   \n",
-       "                                       1.6.0           287.466667  214.803483   \n",
-       "                                       2.0.0           274.812942  216.038593   \n",
-       "                      litehrnet_x      1.5.2           533.244444  423.876675   \n",
-       "                                       1.6.0           577.822222  381.006017   \n",
-       "                                       2.0.0           663.720018  540.300234   \n",
-       "                      segnext_b        1.5.2           755.200000  565.063430   \n",
-       "                                       1.6.0           712.577778  559.297738   \n",
-       "                                       2.0.0           326.306775  255.196579   \n",
-       "                      segnext_s        1.5.2           490.133333  450.091363   \n",
-       "                                       1.6.0           508.777778  421.939770   \n",
-       "                                       2.0.0           257.829828  237.223319   \n",
-       "                      segnext_t        1.5.2           447.911111  387.313713   \n",
-       "                                       1.6.0           454.266667  362.375829   \n",
-       "                                       2.0.0           115.659425  111.538807   \n",
-       "\n",
-       "data_group                                             large            \\\n",
-       "metric                                             test/dice             \n",
-       "stat                                                    mean       std   \n",
-       "task                  model            otx_version                       \n",
-       "semantic_segmentation all              1.5.2        0.873317  0.025642   \n",
-       "                                       1.6.0        0.875509  0.022410   \n",
-       "                                       2.0.0        0.942900  0.038841   \n",
-       "                      dino_v2          2.0.0        0.947067  0.000738   \n",
-       "                      litehrnet_18     1.5.2        0.870560  0.025089   \n",
-       "                                       1.6.0        0.867600  0.012963   \n",
-       "                                       2.0.0        0.955495  0.003147   \n",
-       "                      litehrnet_18_old 1.5.2        0.855200  0.013159   \n",
-       "                                       1.6.0        0.857220  0.016596   \n",
-       "                      litehrnet_s      1.5.2        0.837720  0.016933   \n",
-       "                                       1.6.0        0.849200  0.013897   \n",
-       "                                       2.0.0        0.957334  0.002663   \n",
-       "                      litehrnet_x      1.5.2        0.866300  0.017787   \n",
-       "                                       1.6.0        0.872980  0.017022   \n",
-       "                                       2.0.0        0.958721  0.002324   \n",
-       "                      segnext_b        1.5.2        0.900560  0.010430   \n",
-       "                                       1.6.0        0.905700  0.004395   \n",
-       "                                       2.0.0        0.958464  0.005264   \n",
-       "                      segnext_s        1.5.2        0.899100  0.007635   \n",
-       "                                       1.6.0        0.891100  0.017441   \n",
-       "                                       2.0.0        0.958401  0.004527   \n",
-       "                      segnext_t        1.5.2        0.883780  0.007440   \n",
-       "                                       1.6.0        0.884760  0.009957   \n",
-       "                                       2.0.0        0.864816  0.061111   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                             train/e2e_time               \n",
-       "stat                                                         mean         std   \n",
-       "task                  model            otx_version                              \n",
-       "semantic_segmentation all              1.5.2           866.685714  391.846291   \n",
-       "                                       1.6.0           825.485714  366.633041   \n",
-       "                                       2.0.0           604.485819  368.933489   \n",
-       "                      dino_v2          2.0.0           249.571440   60.417202   \n",
-       "                      litehrnet_18     1.5.2           736.600000  374.496729   \n",
-       "                                       1.6.0           573.600000  176.199603   \n",
-       "                                       2.0.0           711.489397  163.206770   \n",
-       "                      litehrnet_18_old 1.5.2           475.600000   72.268942   \n",
-       "                                       1.6.0           522.000000  150.334627   \n",
-       "                      litehrnet_s      1.5.2           520.400000  168.684024   \n",
-       "                                       1.6.0           518.800000  194.202729   \n",
-       "                                       2.0.0           531.122749  106.230355   \n",
-       "                      litehrnet_x      1.5.2          1016.400000  365.829605   \n",
-       "                                       1.6.0          1003.600000  230.680081   \n",
-       "                                       2.0.0          1350.001533   90.593968   \n",
-       "                      segnext_b        1.5.2          1380.000000  287.963539   \n",
-       "                                       1.6.0          1326.600000  391.804543   \n",
-       "                                       2.0.0           612.218633  144.336964   \n",
-       "                      segnext_s        1.5.2          1044.200000  278.753834   \n",
-       "                                       1.6.0          1011.000000  238.806407   \n",
-       "                                       2.0.0           556.128453  108.954920   \n",
-       "                      segnext_t        1.5.2           893.600000  277.181890   \n",
-       "                                       1.6.0           822.800000  280.833937   \n",
-       "                                       2.0.0           220.868525  119.500245   \n",
-       "\n",
-       "data_group                                            medium            \\\n",
-       "metric                                             test/dice             \n",
-       "stat                                                    mean       std   \n",
-       "task                  model            otx_version                       \n",
-       "semantic_segmentation all              1.5.2        0.832677  0.024532   \n",
-       "                                       1.6.0        0.833951  0.028135   \n",
-       "                                       2.0.0        0.931877  0.040272   \n",
-       "                      dino_v2          2.0.0        0.944425  0.003814   \n",
-       "                      litehrnet_18     1.5.2        0.815900  0.009569   \n",
-       "                                       1.6.0        0.816660  0.034493   \n",
-       "                                       2.0.0        0.946434  0.005825   \n",
-       "                      litehrnet_18_old 1.5.2        0.824340  0.023465   \n",
-       "                                       1.6.0        0.812720  0.029946   \n",
-       "                      litehrnet_s      1.5.2        0.828320  0.018131   \n",
-       "                                       1.6.0        0.814100  0.020779   \n",
-       "                                       2.0.0        0.946714  0.004594   \n",
-       "                      litehrnet_x      1.5.2        0.813680  0.005351   \n",
-       "                                       1.6.0        0.840140  0.017262   \n",
-       "                                       2.0.0        0.949946  0.004748   \n",
-       "                      segnext_b        1.5.2        0.869080  0.018173   \n",
-       "                                       1.6.0        0.867500  0.010656   \n",
-       "                                       2.0.0        0.945740  0.007987   \n",
-       "                      segnext_s        1.5.2        0.852820  0.008922   \n",
-       "                                       1.6.0        0.853140  0.018563   \n",
-       "                                       2.0.0        0.943163  0.010303   \n",
-       "                      segnext_t        1.5.2        0.824600  0.023395   \n",
-       "                                       1.6.0        0.833400  0.010437   \n",
-       "                                       2.0.0        0.846713  0.053972   \n",
-       "\n",
-       "data_group                                                                     \\\n",
-       "metric                                             train/e2e_time               \n",
-       "stat                                                         mean         std   \n",
-       "task                  model            otx_version                              \n",
-       "semantic_segmentation all              1.5.2           385.942857  198.198792   \n",
-       "                                       1.6.0           425.228571  197.016584   \n",
-       "                                       2.0.0           251.122139  153.782894   \n",
-       "                      dino_v2          2.0.0           117.517779   20.152915   \n",
-       "                      litehrnet_18     1.5.2           250.400000   34.947103   \n",
-       "                                       1.6.0           271.200000   74.048633   \n",
-       "                                       2.0.0           253.055289   51.674060   \n",
-       "                      litehrnet_18_old 1.5.2           300.400000   63.184650   \n",
-       "                                       1.6.0           323.200000  118.153290   \n",
-       "                      litehrnet_s      1.5.2           245.200000   14.342245   \n",
-       "                                       1.6.0           254.800000   78.788959   \n",
-       "                                       2.0.0           243.058984   74.218361   \n",
-       "                      litehrnet_x      1.5.2           422.000000  121.644975   \n",
-       "                                       1.6.0           556.000000  153.632679   \n",
-       "                                       2.0.0           540.464061   95.793543   \n",
-       "                      segnext_b        1.5.2           747.600000  265.132608   \n",
-       "                                       1.6.0           670.000000  243.076120   \n",
-       "                                       2.0.0           317.915808   91.020347   \n",
-       "                      segnext_s        1.5.2           348.400000   99.595683   \n",
-       "                                       1.6.0           435.600000  118.212943   \n",
-       "                                       2.0.0           187.996527   50.200930   \n",
-       "                      segnext_t        1.5.2           387.600000   98.561149   \n",
-       "                                       1.6.0           465.800000  173.730251   \n",
-       "                                       2.0.0            97.846522   74.030194   \n",
-       "\n",
-       "data_group                                             small            \\\n",
-       "metric                                             test/dice             \n",
-       "stat                                                    mean       std   \n",
-       "task                  model            otx_version                       \n",
-       "semantic_segmentation all              1.5.2        0.697612  0.031463   \n",
-       "                                       1.6.0        0.700373  0.030760   \n",
-       "                                       2.0.0        0.858081  0.087900   \n",
-       "                      dino_v2          2.0.0        0.933485  0.005637   \n",
-       "                      litehrnet_18     1.5.2        0.693140  0.014617   \n",
-       "                                       1.6.0        0.678527  0.019146   \n",
-       "                                       2.0.0        0.895104  0.012676   \n",
-       "                      litehrnet_18_old 1.5.2        0.688373  0.017236   \n",
-       "                                       1.6.0        0.688520  0.009787   \n",
-       "                      litehrnet_s      1.5.2        0.664593  0.016316   \n",
-       "                                       1.6.0        0.678753  0.022780   \n",
-       "                                       2.0.0        0.797938  0.213405   \n",
-       "                      litehrnet_x      1.5.2        0.678000  0.013356   \n",
-       "                                       1.6.0        0.679520  0.025314   \n",
-       "                                       2.0.0        0.899467  0.018846   \n",
-       "                      segnext_b        1.5.2        0.750113  0.009100   \n",
-       "                                       1.6.0        0.748307  0.016270   \n",
-       "                                       2.0.0        0.835558  0.017472   \n",
-       "                      segnext_s        1.5.2        0.727220  0.013569   \n",
-       "                                       1.6.0        0.727420  0.020387   \n",
-       "                                       2.0.0        0.822566  0.000015   \n",
-       "                      segnext_t        1.5.2        0.681847  0.019098   \n",
-       "                                       1.6.0        0.701567  0.007184   \n",
-       "                                       2.0.0        0.822452  0.000116   \n",
-       "\n",
-       "data_group                                                                    \n",
-       "metric                                             train/e2e_time             \n",
-       "stat                                                         mean        std  \n",
-       "task                  model            otx_version                            \n",
-       "semantic_segmentation all              1.5.2           103.571429  33.241105  \n",
-       "                                       1.6.0           109.838095  35.009651  \n",
-       "                                       2.0.0            52.908594  25.014806  \n",
-       "                      dino_v2          2.0.0            53.041172   5.079175  \n",
-       "                      litehrnet_18     1.5.2            98.866667   4.388115  \n",
-       "                                       1.6.0           105.400000   3.226625  \n",
-       "                                       2.0.0            59.953815   8.669003  \n",
-       "                      litehrnet_18_old 1.5.2           103.066667   3.766814  \n",
-       "                                       1.6.0           105.733333   5.922650  \n",
-       "                      litehrnet_s      1.5.2            83.400000   4.316634  \n",
-       "                                       1.6.0            88.800000   2.478799  \n",
-       "                                       2.0.0            50.257092  12.274067  \n",
-       "                      litehrnet_x      1.5.2           161.333333   7.457286  \n",
-       "                                       1.6.0           173.866667   9.191179  \n",
-       "                                       2.0.0           100.694460  19.656324  \n",
-       "                      segnext_b        1.5.2           138.000000  10.453601  \n",
-       "                                       1.6.0           141.133333  22.823721  \n",
-       "                                       2.0.0            48.785884  16.684130  \n",
-       "                      segnext_s        1.5.2            77.800000   6.602188  \n",
-       "                                       1.6.0            79.733333   6.057135  \n",
-       "                                       2.0.0            29.364503   1.377366  \n",
-       "                      segnext_t        1.5.2            62.533333   2.744692  \n",
-       "                                       1.6.0            74.200000   7.504073  \n",
-       "                                       2.0.0            28.263229   1.398035  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/dice'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"semantic_segmentation\"\n",
     "display(summary.summarize_table(history, task))\n",
-    "display(summary.summarize_graph(history, task))"
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Semantic Segmentation SemiSL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "task = \"semantic_segmentation_semisl\"\n",
+    "display(summary.summarize_table(history, task))\n",
+    "display(summary.summarize_graph(history, task))\n",
+    "display(summary.summarize_graph_geti(history, task))"
    ]
   },
   {
@@ -6047,276 +252,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">small</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">visual_prompting</th>\n",
-       "      <th rowspan=\"2\" valign=\"top\">all</th>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.937287</td>\n",
-       "      <td>0.009505</td>\n",
-       "      <td>186.259259</td>\n",
-       "      <td>121.317633</td>\n",
-       "      <td>0.930820</td>\n",
-       "      <td>0.006189</td>\n",
-       "      <td>248.800000</td>\n",
-       "      <td>129.429346</td>\n",
-       "      <td>0.945371</td>\n",
-       "      <td>0.005977</td>\n",
-       "      <td>108.083333</td>\n",
-       "      <td>40.413242</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.920771</td>\n",
-       "      <td>0.009924</td>\n",
-       "      <td>154.093418</td>\n",
-       "      <td>39.833948</td>\n",
-       "      <td>0.915978</td>\n",
-       "      <td>0.010312</td>\n",
-       "      <td>140.166178</td>\n",
-       "      <td>53.043310</td>\n",
-       "      <td>0.925564</td>\n",
-       "      <td>0.007108</td>\n",
-       "      <td>168.020658</td>\n",
-       "      <td>10.254700</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">sam_tiny_vit</th>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.935015</td>\n",
-       "      <td>0.005823</td>\n",
-       "      <td>117.777778</td>\n",
-       "      <td>44.270632</td>\n",
-       "      <td>0.931100</td>\n",
-       "      <td>0.004785</td>\n",
-       "      <td>139.400000</td>\n",
-       "      <td>48.634350</td>\n",
-       "      <td>0.939908</td>\n",
-       "      <td>0.001550</td>\n",
-       "      <td>90.750000</td>\n",
-       "      <td>17.872750</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.912837</td>\n",
-       "      <td>0.006668</td>\n",
-       "      <td>131.597513</td>\n",
-       "      <td>41.326215</td>\n",
-       "      <td>0.906852</td>\n",
-       "      <td>0.003233</td>\n",
-       "      <td>96.467262</td>\n",
-       "      <td>26.570300</td>\n",
-       "      <td>0.918822</td>\n",
-       "      <td>0.000158</td>\n",
-       "      <td>166.727763</td>\n",
-       "      <td>7.166526</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">sam_vit_b</th>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.939559</td>\n",
-       "      <td>0.012102</td>\n",
-       "      <td>254.740741</td>\n",
-       "      <td>136.981525</td>\n",
-       "      <td>0.930540</td>\n",
-       "      <td>0.007943</td>\n",
-       "      <td>358.200000</td>\n",
-       "      <td>73.523466</td>\n",
-       "      <td>0.950833</td>\n",
-       "      <td>0.001179</td>\n",
-       "      <td>125.416667</td>\n",
-       "      <td>51.867620</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.928705</td>\n",
-       "      <td>0.004856</td>\n",
-       "      <td>176.589323</td>\n",
-       "      <td>22.745220</td>\n",
-       "      <td>0.925104</td>\n",
-       "      <td>0.004539</td>\n",
-       "      <td>183.865094</td>\n",
-       "      <td>29.165301</td>\n",
-       "      <td>0.932305</td>\n",
-       "      <td>0.000223</td>\n",
-       "      <td>169.313552</td>\n",
-       "      <td>13.456205</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                      all                           \\\n",
-       "metric                                    test/dice           train/e2e_time   \n",
-       "stat                                           mean       std           mean   \n",
-       "task             model        otx_version                                      \n",
-       "visual_prompting all          1.6.0        0.937287  0.009505     186.259259   \n",
-       "                              2.0.0        0.920771  0.009924     154.093418   \n",
-       "                 sam_tiny_vit 1.6.0        0.935015  0.005823     117.777778   \n",
-       "                              2.0.0        0.912837  0.006668     131.597513   \n",
-       "                 sam_vit_b    1.6.0        0.939559  0.012102     254.740741   \n",
-       "                              2.0.0        0.928705  0.004856     176.589323   \n",
-       "\n",
-       "data_group                                               medium            \\\n",
-       "metric                                                test/dice             \n",
-       "stat                                              std      mean       std   \n",
-       "task             model        otx_version                                   \n",
-       "visual_prompting all          1.6.0        121.317633  0.930820  0.006189   \n",
-       "                              2.0.0         39.833948  0.915978  0.010312   \n",
-       "                 sam_tiny_vit 1.6.0         44.270632  0.931100  0.004785   \n",
-       "                              2.0.0         41.326215  0.906852  0.003233   \n",
-       "                 sam_vit_b    1.6.0        136.981525  0.930540  0.007943   \n",
-       "                              2.0.0         22.745220  0.925104  0.004539   \n",
-       "\n",
-       "data_group                                                            \\\n",
-       "metric                                    train/e2e_time               \n",
-       "stat                                                mean         std   \n",
-       "task             model        otx_version                              \n",
-       "visual_prompting all          1.6.0           248.800000  129.429346   \n",
-       "                              2.0.0           140.166178   53.043310   \n",
-       "                 sam_tiny_vit 1.6.0           139.400000   48.634350   \n",
-       "                              2.0.0            96.467262   26.570300   \n",
-       "                 sam_vit_b    1.6.0           358.200000   73.523466   \n",
-       "                              2.0.0           183.865094   29.165301   \n",
-       "\n",
-       "data_group                                    small                           \\\n",
-       "metric                                    test/dice           train/e2e_time   \n",
-       "stat                                           mean       std           mean   \n",
-       "task             model        otx_version                                      \n",
-       "visual_prompting all          1.6.0        0.945371  0.005977     108.083333   \n",
-       "                              2.0.0        0.925564  0.007108     168.020658   \n",
-       "                 sam_tiny_vit 1.6.0        0.939908  0.001550      90.750000   \n",
-       "                              2.0.0        0.918822  0.000158     166.727763   \n",
-       "                 sam_vit_b    1.6.0        0.950833  0.001179     125.416667   \n",
-       "                              2.0.0        0.932305  0.000223     169.313552   \n",
-       "\n",
-       "data_group                                            \n",
-       "metric                                                \n",
-       "stat                                             std  \n",
-       "task             model        otx_version             \n",
-       "visual_prompting all          1.6.0        40.413242  \n",
-       "                              2.0.0        10.254700  \n",
-       "                 sam_tiny_vit 1.6.0        17.872750  \n",
-       "                              2.0.0         7.166526  \n",
-       "                 sam_vit_b    1.6.0        51.867620  \n",
-       "                              2.0.0        13.456205  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/dice'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"visual_prompting\"\n",
     "display(summary.summarize_table(history, task))\n",
@@ -6332,236 +270,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>data_group</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">all</th>\n",
-       "      <th colspan=\"4\" halign=\"left\">medium</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>metric</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">test/dice</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">train/e2e_time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>stat</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>task</th>\n",
-       "      <th>model</th>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">zero_shot_visual_prompting</th>\n",
-       "      <th rowspan=\"2\" valign=\"top\">all</th>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.158710</td>\n",
-       "      <td>0.063130</td>\n",
-       "      <td>9.400000</td>\n",
-       "      <td>0.699206</td>\n",
-       "      <td>0.158710</td>\n",
-       "      <td>0.063130</td>\n",
-       "      <td>9.400000</td>\n",
-       "      <td>0.699206</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.584749</td>\n",
-       "      <td>0.078921</td>\n",
-       "      <td>11.542402</td>\n",
-       "      <td>0.737340</td>\n",
-       "      <td>0.584749</td>\n",
-       "      <td>0.078921</td>\n",
-       "      <td>11.542402</td>\n",
-       "      <td>0.737340</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">sam_tiny_vit</th>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.098820</td>\n",
-       "      <td>0.000179</td>\n",
-       "      <td>8.800000</td>\n",
-       "      <td>0.447214</td>\n",
-       "      <td>0.098820</td>\n",
-       "      <td>0.000179</td>\n",
-       "      <td>8.800000</td>\n",
-       "      <td>0.447214</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.659619</td>\n",
-       "      <td>0.000051</td>\n",
-       "      <td>10.851746</td>\n",
-       "      <td>0.122360</td>\n",
-       "      <td>0.659619</td>\n",
-       "      <td>0.000051</td>\n",
-       "      <td>10.851746</td>\n",
-       "      <td>0.122360</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">sam_vit_b</th>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>0.218600</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.218600</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>0.509878</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>12.233059</td>\n",
-       "      <td>0.125579</td>\n",
-       "      <td>0.509878</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>12.233059</td>\n",
-       "      <td>0.125579</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "data_group                                                all            \\\n",
-       "metric                                              test/dice             \n",
-       "stat                                                     mean       std   \n",
-       "task                       model        otx_version                       \n",
-       "zero_shot_visual_prompting all          1.6.0        0.158710  0.063130   \n",
-       "                                        2.0.0        0.584749  0.078921   \n",
-       "                           sam_tiny_vit 1.6.0        0.098820  0.000179   \n",
-       "                                        2.0.0        0.659619  0.000051   \n",
-       "                           sam_vit_b    1.6.0        0.218600  0.000000   \n",
-       "                                        2.0.0        0.509878  0.000000   \n",
-       "\n",
-       "data_group                                                                    \\\n",
-       "metric                                              train/e2e_time             \n",
-       "stat                                                          mean       std   \n",
-       "task                       model        otx_version                            \n",
-       "zero_shot_visual_prompting all          1.6.0             9.400000  0.699206   \n",
-       "                                        2.0.0            11.542402  0.737340   \n",
-       "                           sam_tiny_vit 1.6.0             8.800000  0.447214   \n",
-       "                                        2.0.0            10.851746  0.122360   \n",
-       "                           sam_vit_b    1.6.0            10.000000  0.000000   \n",
-       "                                        2.0.0            12.233059  0.125579   \n",
-       "\n",
-       "data_group                                             medium            \\\n",
-       "metric                                              test/dice             \n",
-       "stat                                                     mean       std   \n",
-       "task                       model        otx_version                       \n",
-       "zero_shot_visual_prompting all          1.6.0        0.158710  0.063130   \n",
-       "                                        2.0.0        0.584749  0.078921   \n",
-       "                           sam_tiny_vit 1.6.0        0.098820  0.000179   \n",
-       "                                        2.0.0        0.659619  0.000051   \n",
-       "                           sam_vit_b    1.6.0        0.218600  0.000000   \n",
-       "                                        2.0.0        0.509878  0.000000   \n",
-       "\n",
-       "data_group                                                                    \n",
-       "metric                                              train/e2e_time            \n",
-       "stat                                                          mean       std  \n",
-       "task                       model        otx_version                           \n",
-       "zero_shot_visual_prompting all          1.6.0             9.400000  0.699206  \n",
-       "                                        2.0.0            11.542402  0.737340  \n",
-       "                           sam_tiny_vit 1.6.0             8.800000  0.447214  \n",
-       "                                        2.0.0            10.851746  0.122360  \n",
-       "                           sam_vit_b    1.6.0            10.000000  0.000000  \n",
-       "                                        2.0.0            12.233059  0.125579  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<Axes: title={'center': 'test/dice'}, xlabel='otx_version'>,\n",
-       " <Axes: title={'center': 'train/e2e_time'}, xlabel='otx_version'>]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "task = \"zero_shot_visual_prompting\"\n",
     "display(summary.summarize_table(history, task))\n",
     "display(summary.summarize_graph(history, task))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Keypoint Detection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "task = \"keypoint_detection\"\n",
+    "display(summary.summarize_table(history, task))\n",
+    "display(summary.summarize_graph(history, task))"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -6571,120 +306,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>otx_ref</th>\n",
-       "      <th>test_branch</th>\n",
-       "      <th>test_commit</th>\n",
-       "      <th>cpu_info</th>\n",
-       "      <th>accelerator_info</th>\n",
-       "      <th>user_name</th>\n",
-       "      <th>machine_name</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>otx_version</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1.5.2</th>\n",
-       "      <td>20240404-175403</td>\n",
-       "      <td>1.5.2</td>\n",
-       "      <td>test/add-perf-vsp-act-v1</td>\n",
-       "      <td>d6e681b</td>\n",
-       "      <td>Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz</td>\n",
-       "      <td>GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff...</td>\n",
-       "      <td>goodsong81</td>\n",
-       "      <td>9784b1a8c02f</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.6.0</th>\n",
-       "      <td>20240406-194259</td>\n",
-       "      <td>1.6.0</td>\n",
-       "      <td>test/add-perf-vsp-act-v1</td>\n",
-       "      <td>383e8ea</td>\n",
-       "      <td>Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz</td>\n",
-       "      <td>GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a66...</td>\n",
-       "      <td>goodsong81</td>\n",
-       "      <td>3c27d4313dab</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0.0</th>\n",
-       "      <td>20240402-103545</td>\n",
-       "      <td>ddf4714</td>\n",
-       "      <td>test/add-action-benchmark-v2</td>\n",
-       "      <td>ddf4714</td>\n",
-       "      <td>Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz</td>\n",
-       "      <td>GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a66...</td>\n",
-       "      <td>goodsong81</td>\n",
-       "      <td>3c27d4313dab</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                        date  otx_ref                   test_branch  \\\n",
-       "otx_version                                                           \n",
-       "1.5.2        20240404-175403    1.5.2      test/add-perf-vsp-act-v1   \n",
-       "1.6.0        20240406-194259    1.6.0      test/add-perf-vsp-act-v1   \n",
-       "2.0.0        20240402-103545  ddf4714  test/add-action-benchmark-v2   \n",
-       "\n",
-       "            test_commit                                    cpu_info  \\\n",
-       "otx_version                                                           \n",
-       "1.5.2           d6e681b  Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz   \n",
-       "1.6.0           383e8ea  Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz   \n",
-       "2.0.0           ddf4714  Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz   \n",
-       "\n",
-       "                                              accelerator_info   user_name  \\\n",
-       "otx_version                                                                  \n",
-       "1.5.2        GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff...  goodsong81   \n",
-       "1.6.0        GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a66...  goodsong81   \n",
-       "2.0.0        GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a66...  goodsong81   \n",
-       "\n",
-       "             machine_name  \n",
-       "otx_version                \n",
-       "1.5.2        9784b1a8c02f  \n",
-       "1.6.0        3c27d4313dab  \n",
-       "2.0.0        3c27d4313dab  "
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "summary.summarize_meta(history)"
    ]
@@ -6706,7 +330,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/tests/perf/history/summary.py b/tests/perf/history/summary.py
index 568eccdd54e..3a38352b84e 100644
--- a/tests/perf/history/summary.py
+++ b/tests/perf/history/summary.py
@@ -11,11 +11,15 @@
 import os
 import sys
 from pathlib import Path
-from typing import Any
 from zipfile import ZipFile
 
+import matplotlib.pyplot as plt
 import pandas as pd
 
+pd.set_option("display.max_rows", None)
+pd.set_option("display.max_columns", None)
+pd.set_option("display.width", None)
+
 V1_V2_NAME_MAP = {
     # Columns
     "data_size": "data_group",
@@ -50,11 +54,12 @@
     "repeat": "seed",
     # Task names
     "single_label_classification": "classification/multi_class_cls",
+    "Single_label_semi_sl_classificaiton": "classification/multi_class_cls_semisl",
     "multi_label_classification": "classification/multi_label_cls",
     "hierarchical_label_classification": "classification/h_label_cls",
     # Model names
-    "ote_anomaly_padim": "padim",
-    "ote_anomaly_stfpm": "stfpm",
+    "ote_anomaly_classification_padim": "padim",
+    "ote_anomaly_classification_stfpm": "stfpm",
     "ote_anomaly_detection_padim": "padim",
     "ote_anomaly_detection_stfpm": "stfpm",
     "ote_anomaly_segmentation_padim": "padim",
@@ -117,12 +122,12 @@
     "classification/h_label/h_label_CUB_medium": "hlabel_CUB_medium",
     "classification/h_label/h_label_food101_large": "hlabel_food101_large",
     "classification/h_label/h_label_CUB_": "all",
-    "detection/pothole_small/1": "pothole_small_1",
-    "detection/pothole_small/2": "pothole_small_2",
-    "detection/pothole_small/3": "pothole_small_3",
-    "detection/pothole_small/": "all",
-    "detection/pothole_medium": "pothole_medium",
-    "detection/vitens_large": "vitens_large",
+    "detection/bdd_small/1": "bdd_small_1",
+    "detection/bdd_small/2": "bdd_small_2",
+    "detection/bdd_small/3": "bdd_small_3",
+    "detection/bdd_small/": "all",
+    "detection/bdd_medium": "bdd_medium",
+    "detection/bdd_large": "bdd_large",
     "detection/": "all",
     "instance_seg/wgisd_small/1": "wgisd_small_1",
     "instance_seg/wgisd_small/2": "wgisd_small_2",
@@ -141,8 +146,8 @@
     "semantic_seg/kvasir_small/2": "kvasir_small_2",
     "semantic_seg/kvasir_small/3": "kvasir_small_3",
     "semantic_seg/kvasir_small/": "all",
-    "semantic_seg/kvasir_medium": "kvasir_medium",
-    "semantic_seg/kvasir_large": "kvasir_large",
+    "semantic_seg/cityscapes_185_70_medium": "cityscapes_185_70_medium",
+    "semantic_seg/voc_2012_cut_large": "voc_2012_cut_large",
     "semantic_seg/kvasir_": "all",
     "visual_prompting/wgisd_small/1": "wgisd_small_1",
     "visual_prompting/wgisd_small/2": "wgisd_small_2",
@@ -150,38 +155,62 @@
     "visual_prompting/coco_car_person_medium": "coco_car_person_medium",
     "visual_prompting/Vitens-Coliform-coco": "vitens_coliform",
     "zero_shot_visual_prompting/coco_car_person_medium": "coco_car_person_medium",
+    "keypoint_detection/coco_person_keypoint_medium": "coco_person_keypoint_medium",
 }
 
 
 TASK_METRIC_MAP = {
-    "anomaly": "f1-score",
+    "anomaly_classification": "f1-score",
     "anomaly_detection": "f1-score",
     "anomaly_segmentation": "f1-score",
     "classification/multi_class_cls": "accuracy",
+    "classification/multi_class_cls_semisl": "accuracy",
     "classification/multi_label_cls": "accuracy",
     "classification/h_label_cls": "accuracy",
     "detection": "f1-score",
     "instance_segmentation": "f1-score",
     "semantic_segmentation": "dice",
+    "semantic_segmentation_semisl": "dice",
     "visual_prompting": "dice",
     "zero_shot_visual_prompting": "dice",
+    "keypoint_detection": "accuracy",
 }
 
 
 TASK_ABBR_MAP = {
-    "anomaly": "anc",
-    "anomaly_detection": "and",
-    "anomaly_segmentation": "ans",
+    "anomaly_classification": "ano_cls",
+    "anomaly_detection": "ano_det",
+    "anomaly_segmentation": "ano_seg",
     "classification/multi_class_cls": "cls",
-    "classification/multi_label_cls": "clm",
-    "classification/h_label_cls": "clh",
+    "classification/multi_class_cls_semisl": "cls_semisl",
+    "classification/multi_label_cls": "m_cls",
+    "classification/h_label_cls": "h_cls",
     "detection": "det",
-    "instance_segmentation": "isg",
-    "semantic_segmentation": "ssg",
-    "visual_prompting": "vsp",
+    "instance_segmentation": "iseg",
+    "semantic_segmentation": "sseg",
+    "semantic_segmentation_semisl": "sseg_semisl",
+    "visual_prompting": "vp",
     "zero_shot_visual_prompting": "zvp",
+    "keypoint_detection": "k_det",
 }
 
+
+GETI_DEFAULT_MODEL = {
+    "anomaly_classification": {"padim", "stfpm"},
+    "anomaly_detection": {"padim", "stfpm"},
+    "anomaly_segmentation": {"padim", "stfpm"},
+    "classification/multi_class_cls": {"efficientnet_b0", "efficientnet_v2", "mobilenet_v3_large"},
+    "classification/multi_label_cls": {"efficientnet_b0", "efficientnet_v2", "mobilenet_v3_large"},
+    "classification/h_label_cls": {"efficientnet_b0", "efficientnet_v2", "mobilenet_v3_large"},
+    "detection": {"atss_mobilenetv2", "ssd_mobilenetv2", "yolox_tiny"},
+    "instance_segmentation": {
+        "non-tile": ["maskrcnn_efficientnetb2b", "maskrcnn_r50"],
+        "tile": ["maskrcnn_efficientnetb2b_tile", "maskrcnn_r50_tile"],
+    },
+    "semantic_segmentation": {"litehrnet_18", "litehrnet_s", "litehrnet_x"},
+}
+
+
 METADATA_ENTRIES = [
     "date",
     "otx_ref",
@@ -239,7 +268,7 @@ def normalize(data: pd.DataFrame) -> pd.DataFrame:
     data.loc[tiling_indices, "task"] = data.loc[tiling_indices, "task"].str.replace("tiling_", "")
     data.loc[tiling_indices, "model"] = data.loc[tiling_indices, "model"] + "_tile"
     # Map anomaly metrics
-    anomaly_indices = data["task"] == "anomaly"
+    anomaly_indices = data["task"] == "anomaly_classification"
     if "test/image_F1Score" in data:
         data.loc[anomaly_indices, "test/f1-score"] = data.loc[anomaly_indices, "test/image_F1Score"]
     if "export/image_F1Score" in data:
@@ -273,6 +302,8 @@ def average(raw_data: pd.DataFrame, keys: list[str]) -> pd.DataFrame:
     """Average raw data w.r.t. given keys."""
     if raw_data is None or len(raw_data) == 0:
         return pd.DataFrame()
+    # To avoid SettingWithCopyWarning
+    raw_data = raw_data.copy()
     # Preproc
     for col in METADATA_ENTRIES:
         raw_data.loc[:, col] = raw_data[col].astype(str)  # Prevent strings like '2.0.0' being loaded as float
@@ -294,85 +325,229 @@ def summarize(raw_data: pd.DataFrame, metrics: list[str] | None = None) -> pd.Da
     if not metrics:
         # Add all numeric metrics
         metrics = raw_data.select_dtypes(include=["number"]).columns.to_list()
-    # Aggregate base
-    raw_data = average(raw_data, ["otx_version", "task", "model", "data_group", "seed"])
-    data = raw_data.pivot_table(
+
+    grouped_data = raw_data.groupby(["otx_version", "task", "model", "data_group"])
+    aggregated = grouped_data.agg({metric: ["mean", "std"] for metric in metrics}).reset_index()
+
+    # Flatten the MultiIndex columns, excluding 'otx_version', 'task', 'model', 'data_group'
+    cols_to_exclude = {"otx_version", "task", "model", "data_group"}
+    aggregated.columns = [
+        ("_".join(col) if col[0] not in cols_to_exclude else col[0]) for col in aggregated.columns.to_numpy()
+    ]
+
+    # Calculate the 'all' data group by taking the mean of the means across all data groups for each model
+    # Only numeric columns should be included in the mean calculation
+    numeric_cols = aggregated.select_dtypes(include=["number"]).columns
+    all_data = aggregated.groupby(["otx_version", "task", "model"])[numeric_cols].mean().reset_index()
+    all_data["data_group"] = "all"
+
+    # Combine the 'all' data group with the rest of the data
+    combined_data = pd.concat([all_data, aggregated], ignore_index=True)
+
+    # Pivot the combined data to create the summary table
+    summary_data = combined_data.pivot_table(
         index=["task", "model", "otx_version"],
         columns=["data_group"],
-        values=metrics,
-        aggfunc=["mean", "std"],
-    )
-    data.columns = data.columns.rename(["stat", "metric", "data_group"])
-    data = data.reorder_levels(["data_group", "metric", "stat"], axis=1)
-    data00 = data
-    # Aggregate by data_group
-    data = raw_data.pivot_table(index=["task", "model", "otx_version"], values=metrics, aggfunc=["mean", "std"])
-    columns = data.columns.to_frame()
-    columns["data_group"] = "all"
-    data.columns = pd.MultiIndex.from_frame(columns)
-    data.columns = data.columns.rename(["stat", "metric", "data_group"])
-    data = data.reorder_levels(["data_group", "metric", "stat"], axis=1)
-    data01 = data
-    # Aggregate by model
-    data = raw_data.pivot_table(
-        index=["task", "otx_version"],
-        columns=["data_group"],
-        values=metrics,
-        aggfunc=["mean", "std"],
+        values=[col for col in aggregated.columns if col not in cols_to_exclude],
+        aggfunc="first",
     )
-    indices = data.index.to_frame()
-    indices["model"] = "all"
-    data.index = pd.MultiIndex.from_frame(indices)
-    data = data.reorder_levels(["task", "model", "otx_version"], axis=0)
-    data.columns = data.columns.rename(["stat", "metric", "data_group"])
-    data = data.reorder_levels(["data_group", "metric", "stat"], axis=1)
-    data10 = data
-    # Aggregate by data_group & model
-    data = raw_data.pivot_table(index=["task", "otx_version"], values=metrics, aggfunc=["mean", "std"])
-    indices = data.index.to_frame()
-    indices["model"] = "all"
-    data.index = pd.MultiIndex.from_frame(indices)
-    data = data.reorder_levels(["task", "model", "otx_version"], axis=0)
-    columns = data.columns.to_frame()
-    columns["data_group"] = "all"
-    data.columns = pd.MultiIndex.from_frame(columns)
-    data.columns = data.columns.rename(["stat", "metric", "data_group"])
-    data = data.reorder_levels(["data_group", "metric", "stat"], axis=1)
-    data11 = data
-    # Merge all
-    data0 = pd.concat([data00, data01], axis=1)
-    data1 = pd.concat([data10, data11], axis=1)
-    data = pd.concat([data0, data1], axis=0)
-    data = data.sort_index(axis=0).sort_index(axis=1)
-    # NOTE: if needed -> data = data.style.set_sticky(axis="index")
-    return data.dropna(axis=1, how="all").fillna("")
+
+    # Split the flattened column names and create a MultiIndex
+    new_columns = []
+    for col in summary_data.columns:
+        metric_stat, data_group = col
+        metric, stat = metric_stat.rsplit("_", 1)  # Split on the last underscore
+        new_columns.append((metric, stat, data_group))
+
+    # Assign the new MultiIndex to the columns of the DataFrame
+    summary_data.columns = pd.MultiIndex.from_tuples(new_columns, names=["metric", "stat", "data_group"])
+
+    # Sort the index and columns
+    summary_data = summary_data.reorder_levels(["data_group", "metric", "stat"], axis=1)
+    return summary_data.sort_index(axis=1)
 
 
 def summarize_table(history: pd.DataFrame, task: str) -> pd.DataFrame:
     """Summarize benchmark histoy table by task."""
     score_metric = TASK_METRIC_MAP[task]
     metrics = [
+        f"export/{score_metric}",
+        f"optimize/{score_metric}",
         f"test/{score_metric}",
         "train/e2e_time",
+        "train/epoch",
+        "train/iter_time",
     ]
-    raw_data = history.query(f"task == '{task}' and data != 'all' and data_group != 'all'")
-    return summarize(raw_data, metrics)
+    raw_data = history.query(f"task == '{task}'")
+    summary_data = summarize(raw_data, metrics)
+    avg_row = summary_data.groupby(["task", "otx_version"]).mean().reset_index()
+    avg_row["model"] = "avg"
+    summary_data = pd.concat([summary_data, avg_row.set_index(["task", "model", "otx_version"])])
+
+    geti_models = GETI_DEFAULT_MODEL.get(task, set())
+    if task == "instance_segmentation":
+        for tile_type, models in geti_models.items():
+            model_name = f"geti_default_avg ({tile_type})"
+            geti_data = summary_data.loc[summary_data.index.get_level_values("model").isin(models)]
+            geti_default_avg_row = geti_data.groupby(["task", "otx_version"]).mean().reset_index()
+            geti_default_avg_row["model"] = model_name
+            geti_default_avg_row["task"] = task
+            summary_data = pd.concat([summary_data, geti_default_avg_row.set_index(["task", "model", "otx_version"])])
+    else:
+        geti_data = summary_data.loc[summary_data.index.get_level_values("model").isin(geti_models)]
+        geti_default_avg_row = geti_data.groupby(["task", "otx_version"]).mean().reset_index()
+        geti_default_avg_row["model"] = "geti_default_avg"
+        geti_default_avg_row["task"] = task
+        summary_data = pd.concat([summary_data, geti_default_avg_row.set_index(["task", "model", "otx_version"])])
+
+    if task == "instance_segmentation":
+        order = ["avg", "geti_default_avg (non-tile)", "geti_default_avg (tile)"] + [
+            model
+            for model in summary_data.index.get_level_values("model").unique()
+            if model not in ["avg", "geti_default_avg (non-tile)", "geti_default_avg (tile)"]
+        ]
+    else:
+        order = ["avg", "geti_default_avg"] + [
+            model
+            for model in summary_data.index.get_level_values("model").unique()
+            if model not in ["avg", "geti_default_avg"]
+        ]
+    summary_data = summary_data.reindex(order, level="model")
+
+    # Round all numeric columns to four decimal places
+    for col in summary_data.columns:
+        if isinstance(col, tuple):  # Check if the column name is a tuple (MultiIndex)
+            metric = col[1]  # Get the metric part of the column name
+            stat = col[2]  # Get the stat part of the column name
+            if metric in ["train/e2e_time", "train/epoch"] and stat in ["mean", "std"]:
+                # Convert to integers
+                summary_data[col] = summary_data[col].fillna(0).astype(int)
+            else:
+                # Round to four decimal places
+                summary_data[col] = summary_data[col].round(4)
+    return summary_data
 
 
-def summarize_graph(history: pd.DataFrame, task: str) -> list[Any]:
-    """Summarize benchmark histoy graph by task."""
+def create_graphs(data: pd.DataFrame, metrics: list[str], title_prefix: str) -> list[plt.Figure]:
+    """Create and return graphs for the given data and metrics."""
+    figures = []
+    for metric in metrics:
+        fig, ax = plt.subplots()
+        pivot_data = data.pivot_table(index=["otx_version"], columns=["model"], values=metric, aggfunc="mean")
+        if not pivot_data.empty and pivot_data.count().sum() > 0:
+            pivot_data.plot(ax=ax, title=f"{title_prefix} - {metric}", marker="o", legend=True)
+            ax.set_xlabel("OTX Version")
+            ax.set_ylabel(metric)
+            figures.append(fig)
+        else:
+            print(f"No numeric data available to plot for {metric}.")
+            plt.close(fig)
+    return figures
+
+
+def display_graphs_in_row(figures, num_columns):
+    """Display a list of matplotlib Figures in a single row with a given number of columns."""
+    num_graphs = len(figures)
+    num_rows = 1  # We want a single row
+    fig, axs = plt.subplots(num_rows, num_columns, figsize=(5 * num_columns, 5))
+
+    # Flatten the axs array and remove excess axes if there are any
+    axs = axs.flatten() if num_columns > 1 else [axs]
+    for idx, ax in enumerate(axs):
+        if idx < num_graphs:
+            figure = figures[idx]
+            orig_ax = figure.axes[0]
+            for line in orig_ax.lines:
+                ax.plot(
+                    line.get_xdata(),
+                    line.get_ydata(),
+                    label=line.get_label(),
+                    color=line.get_color(),
+                    marker=line.get_marker(),
+                )
+            for patch in orig_ax.patches:
+                ax.add_patch(patch)
+            ax.set_xlim(orig_ax.get_xlim())
+            ax.set_ylim(orig_ax.get_ylim())
+            ax.set_xlabel(orig_ax.get_xlabel())
+            ax.set_ylabel(orig_ax.get_ylabel())
+            ax.set_title(orig_ax.get_title())
+            ax.set_xticks(orig_ax.get_xticks())
+            ax.set_xticklabels([tick.get_text() for tick in orig_ax.get_xticklabels()])
+            if orig_ax.get_legend() is not None:
+                ax.legend()
+            plt.close(figure)
+
+    # Hide any unused Axes
+    for ax in axs[num_graphs:]:
+        ax.set_visible(False)
+
+    plt.tight_layout()
+    plt.show()
+
+
+def summarize_graph(history: pd.DataFrame, task: str):
+    """Summarize benchmark history graph by task."""
     score_metric = TASK_METRIC_MAP[task]
     metrics = [
         f"test/{score_metric}",
+        f"export/{score_metric}",
+        f"optimize/{score_metric}",
+        "train/iter_time",
+        "train/epoch",
         "train/e2e_time",
     ]
-    raw_data = history.query(f"task == '{task}' and data != 'all' and data_group != 'all'")
-    graphs = []
-    for metric in metrics:
-        data = raw_data.pivot_table(index=["otx_version"], columns=["model"], values=metric, aggfunc="mean")
-        ax = data.plot(title=metric, marker="o")
-        graphs.append(ax)
-    return graphs
+    filtered_data = history.query(f"task == '{task}'")
+    task_abbr = TASK_ABBR_MAP.get(task, task)  # Get the abbreviation for the task
+    title_prefix = f"(avg) {task_abbr}"
+    figures = create_graphs(filtered_data, metrics, title_prefix)
+    display_graphs_in_row(figures, len(metrics))
+
+
+def summarize_graph_geti(history: pd.DataFrame, task: str):
+    """Summarize benchmark history graph by task using GETI data from raw data."""
+    score_metric = TASK_METRIC_MAP[task]
+    metrics = [
+        f"test/{score_metric}",
+        f"export/{score_metric}",
+        f"optimize/{score_metric}",
+        "train/iter_time",
+        "train/epoch",
+        "train/e2e_time",
+    ]
+    task_abbr = TASK_ABBR_MAP.get(task, task)  # Get the abbreviation for the task
+    geti_models = GETI_DEFAULT_MODEL.get(task, set())
+
+    # Determine if the task has specific tile types
+    if isinstance(geti_models, dict) and task == "instance_segmentation":
+        # Handle 'instance_segmentation' task with tile types
+        for tile_type, models in geti_models.items():
+            models_list = list(models)
+            # Filter data for each tile type and create graphs
+            tile_filtered_data = history.query(f"task == '{task}' and model in {models_list}")
+            title_prefix = f"(geti_default_avg) {task_abbr}_{tile_type}"
+            figures = create_graphs(tile_filtered_data, metrics, title_prefix)
+            display_graphs_in_row(figures, len(metrics))
+            # Create and display graphs for each tile type and data_group
+            for data_group in tile_filtered_data["data_group"].unique():
+                group_filtered_data = tile_filtered_data.query(f"data_group == '{data_group}'")
+                title_prefix = f"(geti_default_{data_group}) {task_abbr}_{tile_type}"
+                figures = create_graphs(group_filtered_data, metrics, title_prefix)
+                display_graphs_in_row(figures, len(metrics))
+    else:
+        # Handle general tasks without tile types
+        geti_models_list = list(geti_models)
+        # Filter data for GETI models and create graphs for 'geti_default_avg'
+        geti_filtered_data = history.query(f"task == '{task}' and model in {geti_models_list}")
+        title_prefix = f"(geti_default_avg) {task_abbr}"
+        figures = create_graphs(geti_filtered_data, metrics, title_prefix)
+        display_graphs_in_row(figures, len(metrics))
+        # Create and display graphs for each data_group
+        for data_group in geti_filtered_data["data_group"].unique():
+            group_filtered_data = geti_filtered_data.query(f"data_group == '{data_group}'")
+            title_prefix = f"(geti_default_{data_group}) {task_abbr}"
+            figures = create_graphs(group_filtered_data, metrics, title_prefix)
+            display_graphs_in_row(figures, len(metrics))
 
 
 def summarize_meta(history: pd.DataFrame):
@@ -404,8 +579,15 @@ def summarize_meta(history: pd.DataFrame):
 
     tasks = sorted(raw_data["task"].unique())
     for task in tasks:
-        data = raw_data.query(f"task == '{task}' and data != 'all' and data_group != 'all'")
-        data = summarize(data)
+        # Skip action tasks
+        if task in ["action_classification", "action_detection"]:
+            print(f"Skipping task: {task}")
+            continue
+
+        # Use summarize_table function to get a detailed summary for each task
+        summary_data = summarize_table(raw_data, task)
+
+        # Save the detailed summary data to an Excel file, including the index
         task_str = task.replace("/", "_")
-        data.to_excel(output_root / f"perf-benchmark-summary-{task_str}.xlsx")
+        summary_data.to_excel(output_root / f"perf-benchmark-summary-{task_str}.xlsx")
         print(f"    Saved {task} summary to", str(output_root / f"perf-benchmark-summary-{task_str}.xlsx"))
diff --git a/tests/perf/history/v1.5.2/perf-benchmark-raw-all.csv b/tests/perf/history/v1.5.2/perf-benchmark-raw-all.csv
index 1f822f5755e..bdc4f814627 100644
--- a/tests/perf/history/v1.5.2/perf-benchmark-raw-all.csv
+++ b/tests/perf/history/v1.5.2/perf-benchmark-raw-all.csv
@@ -1,1801 +1,921 @@
 otx_version,task,model,data_group,data,seed,Dice Average(export),Dice Average(optimize),Dice Average(train),avg_data_time,avg_iter_time,epoch,std_data_time,std_iter_time,train_e2e_time,val_score,f-measure(export),f-measure(optimize),f-measure(train),Accuracy(export),Accuracy(optimize),Accuracy(train),machine_name,test_commit,test_branch,accelerator_info,otx_ref,cpu_info,user_name,date
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,20.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,20,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,20.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,20,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,20.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,20,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,20.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,20,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,20.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,20,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,18.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,18,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,18.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,18,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,18.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,18,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,17.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,17,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,18.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,18,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,0,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,103,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,1,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,93,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,2,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,96,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,3,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,97,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,4,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,95,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,0,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,77,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,1,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,74,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,2,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,72,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,3,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,72,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,4,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,73,0,1,1,1,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,0,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,19,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,1,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,19,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,2,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,19,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,3,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,20,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,4,,,,,,,,,15.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,20,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,103.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,17,0,0.7018,0.7044,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,93.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,17,0,0.7018,0.7018,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,96.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,17,0,0.7031,0.7076,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,97.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,17,0,0.7025,0.7025,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,95.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,17,0,0.7018,0.7057,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,77.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,97,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,74.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,91,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,72.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,92,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,72.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,93,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,73.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,92,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,0,,,,,,,,,42.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,75,0,0.679,0.6725,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,1,,,,,,,,,40.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,73,0,0.6713,0.6667,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,2,,,,,,,,,42.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,72,0,0.7666,0.7488,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,3,,,,,,,,,42.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,72,0,0.7735,0.738,0.9974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,4,,,,,,,,,41.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,72,0,0.7057,0.7037,0.9974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,0,,,,,,,,,42.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,22,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,1,,,,,,,,,41.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,23,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,2,,,,,,,,,41.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,23,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,3,,,,,,,,,41.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,23,0,1,1,0.9982,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,4,,,,,,,,,41.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,23,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,0,,,,,,,,,43.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,18,0,1,1,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,1,,,,,,,,,41.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,18,0,1,1,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,2,,,,,,,,,40.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,18,0,1,1,0.9974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,3,,,,,,,,,41.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,18,0,1,1,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,4,,,,,,,,,41.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,19,0,1,1,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,19.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,126,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,19.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,126,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,19.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,126,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,20.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,126,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,20.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,126,0,1,1,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,17.0,0.0,0.7018,0.7044,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,94,0,1,1,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,17.0,0.0,0.7018,0.7018,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,95,0,1,1,0.9974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,17.0,0.0,0.7031,0.7076,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,93,0,1,1,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,17.0,0.0,0.7025,0.7025,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,96,0,1,1,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,17.0,0.0,0.7018,0.7057,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,94,0,1,1,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,0,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,1,,,,,,,,,14.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,2,,,,,,,,,14.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,3,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,4,,,,,,,,,14.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,0,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,1,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,2,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,3,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,4,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,0,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,1,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,2,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,3,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,4,,,,,,,,,15.0,0.0,0.9341,0.9341,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,97.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,91.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,92.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,93.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,92.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,75.0,0.0,0.679,0.6725,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,73.0,0.0,0.6713,0.6667,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,72.0,0.0,0.7666,0.7488,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,72.0,0.0,0.7735,0.738,0.9974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,72.0,0.0,0.7057,0.7037,0.9974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,0,,,,,,,,,43.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,1,,,,,,,,,40.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,2,,,,,,,,,41.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,3,,,,,,,,,43.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,4,,,,,,,,,44.0,0.0,0.9971,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,0,,,,,,,,,43.0,0.0,1.0,1.0,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,1,,,,,,,,,43.0,0.0,0.9941,0.9941,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,2,,,,,,,,,42.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,3,,,,,,,,,43.0,0.0,0.9971,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,4,,,,,,,,,42.0,0.0,0.9911,0.9941,1.0,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,0,,,,,,,,,42.0,0.0,0.9971,0.9971,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,1,,,,,,,,,42.0,0.0,0.9971,1.0,0.9941,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,2,,,,,,,,,42.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,3,,,,,,,,,43.0,0.0,0.9941,0.9971,0.9911,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,4,,,,,,,,,42.0,0.0,1.0,1.0,0.9941,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,22.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,23.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,23.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,23.0,0.0,1.0,1.0,0.9982,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,23.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,18.0,0.0,1.0,1.0,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,18.0,0.0,1.0,1.0,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,18.0,0.0,1.0,1.0,0.9974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,18.0,0.0,1.0,1.0,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,19.0,0.0,1.0,1.0,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,0,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,1,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,2,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,3,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,4,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,0,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,1,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,2,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,3,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,4,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,0,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,1,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,2,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,3,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,4,,,,,,,,,15.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,0,,,,,,,,,126.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,1,,,,,,,,,126.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,2,,,,,,,,,126.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,3,,,,,,,,,126.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,4,,,,,,,,,126.0,0.0,1.0,1.0,0.9991,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,0,,,,,,,,,94.0,0.0,1.0,1.0,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,1,,,,,,,,,95.0,0.0,1.0,1.0,0.9974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,2,,,,,,,,,93.0,0.0,1.0,1.0,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,3,,,,,,,,,96.0,0.0,1.0,1.0,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,4,,,,,,,,,94.0,0.0,1.0,1.0,0.9987,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,0,,,,,,,,,48.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,1,,,,,,,,,47.0,0.0,1.0,1.0,0.9911,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,2,,,,,,,,,47.0,0.0,0.9941,0.9941,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,3,,,,,,,,,47.0,0.0,0.9851,0.9881,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,4,,,,,,,,,48.0,0.0,0.9941,0.9911,0.9911,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,0,,,,,,,,,47.0,0.0,0.9851,0.9851,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,1,,,,,,,,,49.0,0.0,0.9941,0.9971,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,2,,,,,,,,,48.0,0.0,0.9971,0.9971,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,3,,,,,,,,,48.0,0.0,0.9851,0.9881,0.9941,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,4,,,,,,,,,47.0,0.0,0.9851,0.9881,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,0,,,,,,,,,48.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,1,,,,,,,,,47.0,0.0,0.9971,0.9851,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,2,,,,,,,,,47.0,0.0,0.9728,0.979,0.9941,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,3,,,,,,,,,47.0,0.0,1.0,1.0,0.9971,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,4,,,,,,,,,47.0,0.0,0.9971,1.0,0.9911,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-175403
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,0,,,,0.0166,0.2095,28.0,0.0005,0.0019,348.0,0.775,0.7948,0.7975,0.7939,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,1,,,,0.0161,0.2092,36.0,0.0007,0.0025,435.0,0.7935,0.8006,0.7944,0.8017,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,2,,,,0.0164,0.2083,42.0,0.0008,0.0022,501.0,0.7977,0.8201,0.8198,0.8211,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,3,,,,0.0161,0.2076,38.0,0.0007,0.0019,452.0,0.7783,0.7992,0.8033,0.7998,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,4,,,,0.0159,0.2077,32.0,0.0007,0.0016,389.0,0.7807,0.8001,0.8034,0.8017,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,0,,,,0.0183,0.2114,30.0,0.0009,0.0022,251.0,0.7339,0.6978,0.7025,0.6978,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,1,,,,0.0175,0.2099,42.0,0.001,0.0025,342.0,0.7607,0.741,0.7491,0.7357,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,2,,,,0.0178,0.2124,44.0,0.0009,0.0026,363.0,0.7472,0.7407,0.7407,0.7407,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,3,,,,0.0172,0.2108,28.0,0.0012,0.0027,236.0,0.7308,0.7241,0.7148,0.7216,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,4,,,,0.0174,0.211,28.0,0.001,0.0026,235.0,0.7233,0.75,0.7448,0.75,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,0,,,,0.0785,0.2687,50.0,0.0075,0.0104,59.0,0.7692,0.5143,0.5175,0.5203,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,1,,,,0.0779,0.2705,35.0,0.0087,0.0131,46.0,0.7586,0.5328,0.5373,0.5405,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,2,,,,0.0762,0.2711,45.0,0.0083,0.0112,55.0,0.6667,0.562,0.5785,0.562,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,3,,,,0.0773,0.2681,45.0,0.0074,0.0105,55.0,0.75,0.5703,0.552,0.5594,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,4,,,,0.0758,0.2688,40.0,0.0076,0.0095,49.0,0.75,0.5447,0.5479,0.5455,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,0,,,,0.0774,0.269,30.0,0.0094,0.0106,40.0,0.6111,0.5725,0.5891,0.5746,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,1,,,,0.0762,0.2662,30.0,0.0081,0.0099,40.0,0.6061,0.5569,0.5837,0.5547,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,2,,,,0.0767,0.2692,25.0,0.007,0.0086,36.0,0.6667,0.5204,0.5191,0.5248,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,3,,,,0.0782,0.2675,40.0,0.0076,0.01,50.0,0.55,0.5813,0.5904,0.581,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,4,,,,0.075,0.2652,55.0,0.0078,0.0109,64.0,0.5957,0.5954,0.5979,0.6008,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,0,,,,0.0776,0.2728,45.0,0.0067,0.0091,56.0,0.5385,0.5231,0.5122,0.5174,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,1,,,,0.0757,0.2682,45.0,0.0074,0.0085,55.0,0.6207,0.5217,0.5387,0.524,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,2,,,,0.0765,0.2702,50.0,0.0093,0.0103,60.0,0.6154,0.4602,0.4649,0.4566,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,3,,,,0.0774,0.27,75.0,0.007,0.0082,84.0,0.6667,0.5862,0.5959,0.5882,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,4,,,,0.0775,0.2703,60.0,0.0079,0.0093,70.0,0.6667,0.5551,0.5439,0.5574,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,0,,,,0.0173,0.1598,48.0,0.0007,0.0016,468.0,0.6815,0.6928,0.6832,0.6946,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,1,,,,0.0173,0.1586,52.0,0.0009,0.0019,499.0,0.6773,0.684,0.6786,0.684,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,2,,,,0.0176,0.1582,70.0,0.0007,0.0017,661.0,0.6945,0.7252,0.7226,0.7261,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,3,,,,0.0176,0.1593,68.0,0.0008,0.0017,635.0,0.701,0.7088,0.7073,0.7091,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,4,,,,0.0173,0.1587,62.0,0.0008,0.0017,582.0,0.6813,0.7029,0.7,0.7033,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,0,,,,0.0181,0.1568,62.0,0.001,0.0021,392.0,0.6856,0.6118,0.6094,0.6118,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,1,,,,0.0182,0.1571,70.0,0.001,0.0023,437.0,0.6856,0.6494,0.6388,0.6494,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,2,,,,0.0182,0.1576,42.0,0.0011,0.0024,273.0,0.6392,0.6008,0.5962,0.6,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,3,,,,0.0183,0.1565,44.0,0.0011,0.0019,284.0,0.6667,0.6263,0.6226,0.6159,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,4,,,,0.0182,0.1577,54.0,0.0008,0.0022,342.0,0.6721,0.676,0.6782,0.6758,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,0,,,,0.0876,0.2224,65.0,0.0076,0.0103,66.0,0.6429,0.437,0.44,0.437,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,1,,,,0.0868,0.222,30.0,0.0077,0.0075,37.0,0.5455,0.44,0.4365,0.44,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,2,,,,0.0857,0.2195,40.0,0.0092,0.0101,45.0,0.5333,0.4286,0.4369,0.4384,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,3,,,,0.0837,0.2177,75.0,0.0074,0.0095,73.0,0.72,0.4409,0.438,0.4409,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,4,,,,0.0869,0.2196,40.0,0.0072,0.0085,45.0,0.5455,0.4348,0.4397,0.4329,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,0,,,,0.0823,0.2142,45.0,0.0092,0.0112,48.0,0.5128,0.5054,0.5019,0.5054,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,1,,,,0.0803,0.2136,50.0,0.0073,0.0091,51.0,0.5854,0.4626,0.4789,0.4689,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,2,,,,0.0814,0.2159,25.0,0.0079,0.0091,32.0,0.4138,0.3269,0.3455,0.3269,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,3,,,,0.0808,0.2128,25.0,0.0072,0.0094,32.0,0.4848,0.3983,0.4132,0.3917,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,4,,,,0.0799,0.2124,40.0,0.0075,0.0091,43.0,0.5,0.4444,0.4444,0.4444,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,0,,,,0.0826,0.2148,45.0,0.0074,0.0092,48.0,0.6154,0.4331,0.4429,0.4269,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,1,,,,0.0798,0.214,35.0,0.0052,0.007,40.0,0.56,0.3948,0.3983,0.395,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,2,,,,0.0826,0.2155,80.0,0.0082,0.0086,76.0,0.5,0.4098,0.4132,0.4085,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,3,,,,0.0802,0.2152,50.0,0.0077,0.0098,52.0,0.6667,0.4651,0.4758,0.459,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,4,,,,0.0818,0.2153,45.0,0.0094,0.0107,47.0,0.5714,0.4272,0.4211,0.4272,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,0,,,,0.0572,0.2009,34.0,0.0029,0.0023,369.0,0.7438,0.7749,0.7627,0.7779,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,1,,,,0.0583,0.2031,46.0,0.005,0.0042,494.0,0.7553,0.779,0.7662,0.7831,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,2,,,,0.061,0.2046,32.0,0.005,0.0037,353.0,0.7428,0.7739,0.7666,0.7779,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,3,,,,0.0558,0.2019,22.0,0.0044,0.0037,248.0,0.7402,0.7687,0.7637,0.7721,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,4,,,,0.0526,0.1996,56.0,0.006,0.0051,581.0,0.7445,0.7756,0.7663,0.7821,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,0,,,,0.0343,0.1758,42.0,0.0037,0.0027,285.0,0.6745,0.7372,0.7345,0.7372,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,1,,,,0.0339,0.1765,50.0,0.0046,0.0027,330.0,0.7003,0.7097,0.722,0.7122,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,2,,,,0.0354,0.1753,30.0,0.0042,0.0026,203.0,0.6678,0.6996,0.6882,0.7194,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,3,,,,0.0352,0.1768,42.0,0.0036,0.0024,280.0,0.723,0.7376,0.7376,0.7491,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,4,,,,0.0349,0.1769,58.0,0.0039,0.0025,381.0,0.6782,0.7622,0.7442,0.7568,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,0,,,,0.1134,0.2448,40.0,0.0085,0.0078,49.0,0.4167,0.5017,0.4825,0.5087,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,1,,,,0.1136,0.2485,35.0,0.0063,0.0084,42.0,0.439,0.4814,0.5,0.487,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,2,,,,0.1146,0.2463,50.0,0.0088,0.0088,55.0,0.6667,0.537,0.518,0.5083,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,3,,,,0.1108,0.2435,75.0,0.0076,0.0085,76.0,0.6452,0.5252,0.5312,0.5169,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,4,,,,0.1149,0.2469,85.0,0.0082,0.0074,85.0,0.5,0.56,0.5683,0.5508,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,0,,,,0.1148,0.2473,40.0,0.0096,0.0087,46.0,0.4706,0.5615,0.5538,0.5615,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,1,,,,0.1142,0.2454,30.0,0.0083,0.0091,37.0,0.5294,0.4211,0.4522,0.4192,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,2,,,,0.1134,0.2471,40.0,0.0076,0.0094,46.0,0.5128,0.5765,0.5848,0.5461,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,3,,,,0.1123,0.2472,30.0,0.0091,0.0107,38.0,0.4737,0.461,0.4585,0.4731,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,4,,,,0.1142,0.2465,35.0,0.0057,0.0066,42.0,0.5143,0.4901,0.5057,0.5164,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,0,,,,0.1108,0.246,40.0,0.0051,0.0073,47.0,0.5625,0.5208,0.4967,0.4835,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,1,,,,0.1126,0.2508,30.0,0.0067,0.0071,38.0,0.6667,0.4396,0.4478,0.4571,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,2,,,,0.1187,0.2521,40.0,0.0104,0.0109,47.0,0.6364,0.4425,0.4502,0.4312,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,3,,,,0.1137,0.2465,40.0,0.0075,0.0079,46.0,0.6923,0.4913,0.4983,0.4626,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,4,,,,0.1126,0.2455,40.0,0.0082,0.0082,47.0,0.6,0.5018,0.5034,0.5402,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,0,,,,0.0074,0.3327,32.0,0.0003,0.0023,1376.0,0.8059,0.8318,0.8317,0.8317,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,1,,,,0.0076,0.3319,37.0,0.0003,0.0018,1575.0,0.7936,0.8283,0.8259,0.8292,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,2,,,,0.007,0.3296,33.0,0.0003,0.0019,1400.0,0.7967,0.8291,0.8276,0.8294,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,3,,,,0.0072,0.3296,31.0,0.0003,0.0022,1322.0,0.8146,0.829,0.829,0.8282,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,4,,,,0.0071,0.3293,25.0,0.0003,0.0021,1074.0,0.8013,0.8219,0.8189,0.8228,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,0,,,,0.008,0.337,22.0,0.0004,0.0024,651.0,0.771,0.7106,0.7106,0.7106,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,1,,,,0.0067,0.3325,34.0,0.0002,0.0023,980.0,0.7796,0.7714,0.7599,0.7687,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,2,,,,0.0076,0.3349,18.0,0.0001,0.0018,543.0,0.741,0.7231,0.719,0.7292,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,3,,,,0.0079,0.3338,36.0,0.0004,0.0022,1043.0,0.7538,0.7548,0.7518,0.7548,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,4,,,,0.0079,0.3355,29.0,0.0003,0.0019,852.0,0.7525,0.7208,0.7254,0.7279,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,0,,,,0.0238,0.3488,52.0,0.0028,0.0092,175.0,0.8571,0.59,0.5985,0.5923,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,1,,,,0.0237,0.3471,36.0,0.003,0.0085,128.0,0.72,0.5956,0.5918,0.5956,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,2,,,,0.0234,0.3455,28.0,0.0027,0.008,102.0,0.7097,0.5338,0.527,0.5321,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,3,,,,0.0235,0.3497,32.0,0.0024,0.0061,113.0,0.6452,0.5755,0.5654,0.5735,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,4,,,,0.0255,0.3486,16.0,0.0023,0.0078,66.0,0.6364,0.4564,0.4508,0.4564,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,0,,,,0.0241,0.3504,24.0,0.0025,0.0071,91.0,0.7,0.5901,0.5861,0.5901,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,1,,,,0.0246,0.348,24.0,0.0035,0.0063,92.0,0.5294,0.5993,0.6047,0.6014,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,2,,,,0.0243,0.3516,28.0,0.0035,0.007,103.0,0.6829,0.604,0.6063,0.5933,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,3,,,,0.0234,0.346,44.0,0.0028,0.0084,151.0,0.619,0.6207,0.6181,0.6222,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,4,,,,0.0237,0.3464,24.0,0.004,0.0083,92.0,0.75,0.5911,0.5899,0.5959,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,0,,,,0.024,0.3501,32.0,0.0031,0.0077,119.0,0.7857,0.6084,0.6169,0.6084,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,1,,,,0.0257,0.3493,20.0,0.0032,0.0073,79.0,0.6364,0.4783,0.4696,0.4783,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,2,,,,0.0245,0.3507,20.0,0.0023,0.0096,78.0,0.6923,0.5441,0.5436,0.5461,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,3,,,,0.0256,0.35,24.0,0.0032,0.0078,91.0,0.6923,0.5763,0.5809,0.5786,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,4,,,,0.0245,0.353,28.0,0.0027,0.0058,103.0,0.72,0.5509,0.5493,0.5489,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,0,,,,0.0359,0.2807,16.0,0.0087,0.0035,276.0,0.7704,0.7727,0.769,0.7767,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,1,,,,0.0353,0.2817,28.0,0.0065,0.0038,459.0,0.8168,0.7989,0.7963,0.7932,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,2,,,,0.0331,0.2819,20.0,0.0102,0.0048,339.0,0.7993,0.7884,0.7863,0.7856,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,3,,,,0.0341,0.2814,24.0,0.0076,0.0063,396.0,0.7837,0.7869,0.7866,0.7904,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,4,,,,0.0369,0.2796,34.0,0.0116,0.0044,543.0,0.8036,0.8002,0.7887,0.7753,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,0,,,,0.0244,0.264,34.0,0.0038,0.0086,367.0,0.6984,0.7292,0.7317,0.7191,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,1,,,,0.0238,0.2637,54.0,0.0034,0.0081,562.0,0.6875,0.6565,0.6643,0.6735,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,2,,,,0.0254,0.2615,50.0,0.0061,0.0105,518.0,0.7072,0.7113,0.7088,0.7021,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,3,,,,0.0247,0.2644,50.0,0.0038,0.0097,523.0,0.6923,0.7085,0.7015,0.7106,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,4,,,,0.025,0.26,18.0,0.0043,0.0086,204.0,0.6646,0.6875,0.6863,0.6942,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,0,,,,0.1509,0.376,30.0,0.0093,0.02,65.0,0.5,0.3512,0.3469,0.3398,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,1,,,,0.1541,0.3749,25.0,0.0082,0.0239,56.0,0.375,0.4731,0.4531,0.4375,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,2,,,,0.1532,0.3681,25.0,0.0093,0.033,56.0,0.4545,0.4,0.4157,0.3704,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,3,,,,0.1558,0.3978,35.0,0.0111,0.03,76.0,0.6667,0.4065,0.4,0.4094,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,4,,,,0.1637,0.3798,25.0,0.0101,0.0178,57.0,0.4211,0.3137,0.2551,0.3107,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,0,,,,0.1681,0.3957,35.0,0.0127,0.0186,75.0,0.4651,0.4706,0.4891,0.4755,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,1,,,,0.1551,0.3794,30.0,0.0119,0.0268,64.0,0.3684,0.52,0.5182,0.52,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,2,,,,0.1516,0.3708,30.0,0.0098,0.0298,63.0,0.5294,0.4718,0.4539,0.4741,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,3,,,,0.1621,0.3944,25.0,0.0114,0.0309,56.0,0.5532,0.5141,0.4902,0.4982,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,4,,,,0.1534,0.3664,30.0,0.0111,0.0169,63.0,0.4865,0.4074,0.4027,0.3769,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,0,,,,0.1511,0.3818,40.0,0.0085,0.0199,79.0,0.3636,0.3826,0.3733,0.3874,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,1,,,,0.1523,0.3802,50.0,0.0096,0.0264,98.0,0.3333,0.4377,0.4545,0.4169,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,2,,,,0.173,0.3958,35.0,0.0182,0.0283,76.0,0.4242,0.4788,0.4686,0.4732,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,3,,,,0.1524,0.3882,25.0,0.0107,0.0285,57.0,0.4865,0.4262,0.4195,0.4404,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,4,,,,0.1542,0.3677,25.0,0.0086,0.0183,56.0,0.4737,0.4487,0.4568,0.4532,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,0,,,,0.0933,0.2857,36.0,0.0056,0.0046,544.0,0.7887,0.7828,0.781,0.7871,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,1,,,,0.0929,0.2851,36.0,0.0055,0.0056,542.0,0.7686,0.7605,0.765,0.7688,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,2,,,,0.094,0.2858,52.0,0.0045,0.0035,772.0,0.7993,0.7938,0.7926,0.792,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,3,,,,0.0932,0.2847,44.0,0.0044,0.0041,658.0,0.7918,0.7737,0.7682,0.761,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,4,,,,0.0992,0.2905,46.0,0.0092,0.0091,706.0,0.8027,0.7789,0.7729,0.7753,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,0,,,,0.0718,0.2576,38.0,0.0059,0.0047,368.0,0.6642,0.6534,0.6454,0.6179,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,1,,,,0.081,0.2687,42.0,0.0058,0.0069,419.0,0.6645,0.6901,0.6714,0.7021,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,2,,,,0.0683,0.2536,56.0,0.0057,0.0043,525.0,0.7035,0.7254,0.722,0.7106,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,3,,,,0.0684,0.255,26.0,0.0076,0.0077,256.0,0.6721,0.6618,0.6502,0.6739,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,4,,,,0.0609,0.2469,54.0,0.0043,0.0036,495.0,0.7021,0.708,0.7185,0.7163,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,0,,,,0.1588,0.3321,75.0,0.0125,0.0123,103.0,0.48,0.4252,0.4186,0.4269,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,1,,,,0.1858,0.3603,30.0,0.0174,0.0161,50.0,0.2,0.1218,0.1236,0.1188,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,2,,,,0.1801,0.3535,70.0,0.0163,0.0151,100.0,0.3636,0.2315,0.2304,0.2512,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,3,,,,0.1812,0.3529,45.0,0.0167,0.0162,68.0,0.2667,0.2042,0.2064,0.19,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,4,,,,0.1654,0.336,35.0,0.0187,0.0179,54.0,0.25,0.0816,0.0928,0.114,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,0,,,,0.1667,0.3373,55.0,0.0152,0.0142,78.0,0.359,0.4444,0.4332,0.4638,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,1,,,,0.1865,0.3593,55.0,0.0148,0.0148,81.0,0.3333,0.3897,0.3958,0.3695,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,2,,,,0.1617,0.336,50.0,0.0131,0.0117,72.0,0.3226,0.4034,0.4,0.4135,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,3,,,,0.1658,0.3393,80.0,0.0159,0.0141,109.0,0.4667,0.3982,0.3412,0.3774,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,4,,,,0.1804,0.3518,65.0,0.0155,0.0144,92.0,0.5,0.4191,0.4238,0.4059,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,0,,,,0.1779,0.3512,60.0,0.02,0.0187,87.0,0.3846,0.4127,0.4211,0.4056,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,1,,,,0.1708,0.3452,40.0,0.0181,0.0175,61.0,0.3478,0.2659,0.272,0.2982,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,2,,,,0.1823,0.3544,50.0,0.0139,0.0141,75.0,0.5,0.3849,0.3951,0.3902,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,3,,,,0.1617,0.3334,35.0,0.014,0.0141,54.0,0.4,0.2415,0.2199,0.2222,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,4,,,,0.1588,0.3334,60.0,0.0124,0.0134,86.0,0.4706,0.4369,0.4361,0.4459,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,0,,,,0.0066,0.2425,41.0,0.0003,0.007,1253.0,0.8024,0.7917,0.7915,0.7929,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,1,,,,0.0065,0.242,37.0,0.0003,0.0078,1130.0,0.7987,0.7857,0.7846,0.7918,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,2,,,,0.0068,0.2416,31.0,0.0003,0.0088,954.0,0.7929,0.7881,0.7899,0.791,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,3,,,,0.0067,0.2423,37.0,0.0003,0.0061,1134.0,0.8019,0.7935,0.7905,0.7833,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,4,,,,0.0067,0.2429,37.0,0.0003,0.006,1130.0,0.8263,0.8021,0.8015,0.7855,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,0,,,,0.0073,0.239,38.0,0.0004,0.0078,811.0,0.7059,0.7045,0.7111,0.7122,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,1,,,,0.007,0.2387,42.0,0.0004,0.0077,890.0,0.707,0.7354,0.7343,0.7178,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,2,,,,0.007,0.2369,32.0,0.0005,0.0085,676.0,0.7121,0.7121,0.7138,0.7085,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,3,,,,0.0073,0.2391,18.0,0.0004,0.0101,396.0,0.5961,0.6593,0.6714,0.6202,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,4,,,,0.0072,0.2349,41.0,0.0003,0.0078,860.0,0.7173,0.7376,0.7325,0.7365,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,0,,,,0.0431,0.2687,20.0,0.0031,0.0171,74.0,0.4167,0.3146,0.3245,0.313,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,1,,,,0.0423,0.264,24.0,0.0037,0.0201,81.0,0.5,0.4916,0.4871,0.492,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,2,,,,0.042,0.2595,20.0,0.0037,0.023,69.0,0.7692,0.3925,0.4122,0.3893,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,3,,,,0.042,0.2776,16.0,0.0027,0.0227,59.0,0.2353,0.335,0.3267,0.3163,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,4,,,,0.0446,0.2569,20.0,0.0051,0.019,68.0,0.5714,0.2319,0.2584,0.2817,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,0,,,,0.0431,0.2666,28.0,0.0044,0.0177,90.0,0.5294,0.4924,0.4946,0.4597,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,1,,,,0.0431,0.2689,20.0,0.004,0.0198,70.0,0.4444,0.42,0.4054,0.4108,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,2,,,,0.0432,0.2722,36.0,0.0042,0.0263,111.0,0.5,0.5339,0.5512,0.529,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,3,,,,0.0416,0.2763,20.0,0.0032,0.0238,71.0,0.5,0.3168,0.31,0.3204,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,4,,,,0.0402,0.2561,24.0,0.0032,0.0153,78.0,0.5854,0.3916,0.3693,0.3841,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,0,,,,0.0425,0.2671,32.0,0.0042,0.0176,100.0,0.3529,0.4036,0.4101,0.3776,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,1,,,,0.0401,0.2682,20.0,0.0037,0.0223,69.0,0.5517,0.503,0.4804,0.4868,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,2,,,,0.0415,0.2645,24.0,0.004,0.0251,80.0,0.381,0.3243,0.3789,0.3149,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,3,,,,0.0419,0.2762,24.0,0.0034,0.0231,81.0,0.4324,0.4426,0.4416,0.4426,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,4,,,,0.0428,0.2516,16.0,0.0033,0.0133,57.0,0.4242,0.4082,0.431,0.4167,,,,3c27d4313dab,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-194950
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,0,,,,0.0353,0.1195,24.0,0.0033,0.0029,119.0,73.1097,,,,0.3101,0.3097,0.3097,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,0,,,,0.0353,0.1195,24,0.0033,0.0029,119,73.1097,,,,0.3101,0.3097,0.3097,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,1,,,,0.0358,0.1199,26.0,0.0027,0.0025,120.0,73.6859,,,,0.3373,0.3346,0.3377,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,1,,,,0.0358,0.1199,26,0.0027,0.0025,120,73.6859,,,,0.3373,0.3346,0.3377,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,2,,,,0.0361,0.1198,28.0,0.0027,0.0027,127.0,73.5897,,,,0.2905,0.2887,0.2909,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,2,,,,0.0361,0.1198,28,0.0027,0.0027,127,73.5897,,,,0.2905,0.2887,0.2909,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,3,,,,0.0357,0.1202,24.0,0.0045,0.0038,112.0,73.9827,,,,0.3167,0.3128,0.3158,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,3,,,,0.0357,0.1202,24,0.0045,0.0038,112,73.9827,,,,0.3167,0.3128,0.3158,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,4,,,,0.0345,0.1201,22.0,0.0035,0.0034,103.0,73.1462,,,,0.3014,0.3014,0.3005,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,4,,,,0.0345,0.1201,22,0.0035,0.0034,103,73.1462,,,,0.3014,0.3014,0.3005,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,0,,,,0.0975,0.1592,25.0,0.0176,0.0205,18.0,73.6111,,,,0.7542,0.7542,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,0,,,,0.0975,0.1592,25,0.0176,0.0205,18,73.6111,,,,0.7542,0.7542,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,1,,,,0.088,0.1517,25.0,0.0189,0.0229,17.0,75.0,,,,0.7373,0.7458,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,1,,,,0.088,0.1517,25,0.0189,0.0229,17,75,,,,0.7373,0.7458,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,2,,,,0.0807,0.1449,40.0,0.0174,0.0197,22.0,69.4444,,,,0.7881,0.8051,0.7966,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,2,,,,0.0807,0.1449,40,0.0174,0.0197,22,69.4444,,,,0.7881,0.8051,0.7966,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,3,,,,0.086,0.1512,45.0,0.0182,0.0213,24.0,69.4444,,,,0.7288,0.7373,0.7288,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,3,,,,0.086,0.1512,45,0.0182,0.0213,24,69.4444,,,,0.7288,0.7373,0.7288,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,4,,,,0.0787,0.1458,30.0,0.0153,0.016,19.0,72.9167,,,,0.7627,0.7542,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/1,4,,,,0.0787,0.1458,30,0.0153,0.016,19,72.9167,,,,0.7627,0.7542,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,0,,,,0.0917,0.1579,25.0,0.0213,0.0248,18.0,73.6111,,,,0.7373,0.7288,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,0,,,,0.0917,0.1579,25,0.0213,0.0248,18,73.6111,,,,0.7373,0.7288,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,1,,,,0.0771,0.1411,25.0,0.0126,0.014,17.0,73.6111,,,,0.7881,0.7966,0.7797,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,1,,,,0.0771,0.1411,25,0.0126,0.014,17,73.6111,,,,0.7881,0.7966,0.7797,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,2,,,,0.0871,0.1535,40.0,0.0147,0.0188,22.0,70.8333,,,,0.7542,0.7458,0.7542,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,2,,,,0.0871,0.1535,40,0.0147,0.0188,22,70.8333,,,,0.7542,0.7458,0.7542,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,3,,,,0.0856,0.152,20.0,0.0192,0.0222,16.0,69.4444,,,,0.7373,0.7458,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,3,,,,0.0856,0.152,20,0.0192,0.0222,16,69.4444,,,,0.7373,0.7458,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,4,,,,0.0788,0.1405,35.0,0.0142,0.018,20.0,75.0,,,,0.7542,0.7797,0.7542,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/2,4,,,,0.0788,0.1405,35,0.0142,0.018,20,75,,,,0.7542,0.7797,0.7542,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,0,,,,0.0889,0.1543,25.0,0.0242,0.0254,18.0,77.7778,,,,0.839,0.839,0.8475,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,0,,,,0.0889,0.1543,25,0.0242,0.0254,18,77.7778,,,,0.839,0.839,0.8475,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,1,,,,0.0807,0.1478,40.0,0.017,0.0197,22.0,68.75,,,,0.8136,0.8051,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,1,,,,0.0807,0.1478,40,0.017,0.0197,22,68.75,,,,0.8136,0.8051,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,2,,,,0.0853,0.1535,20.0,0.0146,0.0148,16.0,63.8889,,,,0.6356,0.6356,0.6271,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,2,,,,0.0853,0.1535,20,0.0146,0.0148,16,63.8889,,,,0.6356,0.6356,0.6271,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,3,,,,0.0854,0.1466,45.0,0.0168,0.0192,24.0,70.8333,,,,0.7712,0.7712,0.7712,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,3,,,,0.0854,0.1466,45,0.0168,0.0192,24,70.8333,,,,0.7712,0.7712,0.7712,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,4,,,,0.0812,0.1465,30.0,0.0192,0.0187,19.0,70.8333,,,,0.7627,0.7712,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/h_label/h_label_CUB_small/3,4,,,,0.0812,0.1465,30,0.0192,0.0187,19,70.8333,,,,0.7627,0.7712,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,0,,,,0.0099,0.2509,24.0,0.0011,0.0016,208.0,74.2312,,,,0.3434,0.3272,0.343,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,0,,,,0.0099,0.2509,24,0.0011,0.0016,208,74.2312,,,,0.3434,0.3272,0.343,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,1,,,,0.0092,0.2518,32.0,0.0008,0.0017,275.0,74.4136,,,,0.346,0.3373,0.3451,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,1,,,,0.0092,0.2518,32,0.0008,0.0017,275,74.4136,,,,0.346,0.3373,0.3451,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,2,,,,0.0096,0.2523,22.0,0.0013,0.0017,192.0,74.2288,,,,0.3338,0.3211,0.3325,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,2,,,,0.0096,0.2523,22,0.0013,0.0017,192,74.2288,,,,0.3338,0.3211,0.3325,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,3,,,,0.0094,0.2523,30.0,0.0011,0.0045,259.0,74.4674,,,,0.35,0.3473,0.3508,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,3,,,,0.0094,0.2523,30,0.0011,0.0045,259,74.4674,,,,0.35,0.3473,0.3508,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,4,,,,0.0098,0.2523,30.0,0.001,0.0018,257.0,74.7316,,,,0.3526,0.3447,0.353,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/h_label/h_label_CUB_medium,4,,,,0.0098,0.2523,30,0.001,0.0018,257,74.7316,,,,0.3526,0.3447,0.353,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,0,,,,0.09,0.2369,25.0,0.0165,0.0233,26.0,72.9167,,,,0.8729,0.8898,0.8729,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,0,,,,0.09,0.2369,25,0.0165,0.0233,26,72.9167,,,,0.8729,0.8898,0.8729,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,1,,,,0.086,0.2326,35.0,0.0186,0.0244,32.0,75.0,,,,0.8983,0.8475,0.8983,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,1,,,,0.086,0.2326,35,0.0186,0.0244,32,75,,,,0.8983,0.8475,0.8983,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,2,,,,0.0779,0.2246,25.0,0.0079,0.0121,25.0,72.9167,,,,0.839,0.8475,0.839,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,2,,,,0.0779,0.2246,25,0.0079,0.0121,25,72.9167,,,,0.839,0.8475,0.839,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,3,,,,0.0931,0.2416,25.0,0.0216,0.0271,26.0,72.9167,,,,0.9153,0.9153,0.9153,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,3,,,,0.0931,0.2416,25,0.0216,0.0271,26,72.9167,,,,0.9153,0.9153,0.9153,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,4,,,,0.0756,0.2307,25.0,0.0159,0.0218,25.0,73.6111,,,,0.8898,0.8644,0.8814,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/1,4,,,,0.0756,0.2307,25,0.0159,0.0218,25,73.6111,,,,0.8898,0.8644,0.8814,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,0,,,,0.0863,0.2392,25.0,0.0166,0.019,26.0,72.2222,,,,0.8729,0.8814,0.8729,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,0,,,,0.0863,0.2392,25,0.0166,0.019,26,72.2222,,,,0.8729,0.8814,0.8729,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,1,,,,0.0846,0.2365,40.0,0.0174,0.0216,35.0,72.2222,,,,0.8305,0.8305,0.839,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,1,,,,0.0846,0.2365,40,0.0174,0.0216,35,72.2222,,,,0.8305,0.8305,0.839,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,2,,,,0.0839,0.2341,30.0,0.0141,0.0199,29.0,75.0,,,,0.7881,0.7966,0.7797,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,2,,,,0.0839,0.2341,30,0.0141,0.0199,29,75,,,,0.7881,0.7966,0.7797,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,3,,,,0.0932,0.2443,25.0,0.0178,0.0236,26.0,77.7778,,,,0.8983,0.8814,0.8983,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,3,,,,0.0932,0.2443,25,0.0178,0.0236,26,77.7778,,,,0.8983,0.8814,0.8983,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,4,,,,0.0848,0.2354,30.0,0.0194,0.0205,29.0,77.7778,,,,0.8136,0.8136,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/2,4,,,,0.0848,0.2354,30,0.0194,0.0205,29,77.7778,,,,0.8136,0.8136,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,0,,,,0.0933,0.2415,25.0,0.0188,0.0215,26.0,75.6944,,,,0.8814,0.8898,0.8814,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,0,,,,0.0933,0.2415,25,0.0188,0.0215,26,75.6944,,,,0.8814,0.8898,0.8814,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,1,,,,0.0877,0.2375,30.0,0.0144,0.0206,29.0,75.6944,,,,0.8644,0.8559,0.8729,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,1,,,,0.0877,0.2375,30,0.0144,0.0206,29,75.6944,,,,0.8644,0.8559,0.8729,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,2,,,,0.0839,0.236,35.0,0.0168,0.0213,33.0,75.6944,,,,0.8305,0.839,0.8305,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,2,,,,0.0839,0.236,35,0.0168,0.0213,33,75.6944,,,,0.8305,0.839,0.8305,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,3,,,,0.0903,0.2443,25.0,0.0213,0.0285,27.0,73.6111,,,,0.822,0.7712,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,3,,,,0.0903,0.2443,25,0.0213,0.0285,27,73.6111,,,,0.822,0.7712,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,4,,,,0.09,0.2431,25.0,0.0203,0.0219,26.0,75.6944,,,,0.8729,0.839,0.8729,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/h_label/h_label_CUB_small/3,4,,,,0.09,0.2431,25,0.0203,0.0219,26,75.6944,,,,0.8729,0.839,0.8729,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,0,,,,0.0095,0.232,34.0,0.0013,0.0017,259.0,73.0298,,,,0.2931,0.29,0.294,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,0,,,,0.0095,0.232,34,0.0013,0.0017,259,73.0298,,,,0.2931,0.29,0.294,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,1,,,,0.0098,0.233,38.0,0.0011,0.0014,290.0,73.1724,,,,0.3206,0.3101,0.322,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,1,,,,0.0098,0.233,38,0.0011,0.0014,290,73.1724,,,,0.3206,0.3101,0.322,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,2,,,,0.0097,0.2328,38.0,0.0011,0.0014,289.0,72.9978,,,,0.304,0.294,0.3053,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,2,,,,0.0097,0.2328,38,0.0011,0.0014,289,72.9978,,,,0.304,0.294,0.3053,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,3,,,,0.0097,0.2331,26.0,0.0013,0.0018,202.0,73.0371,,,,0.2795,0.2725,0.2791,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,3,,,,0.0097,0.2331,26,0.0013,0.0018,202,73.0371,,,,0.2795,0.2725,0.2791,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,4,,,,0.0099,0.233,34.0,0.0013,0.0015,261.0,73.1703,,,,0.3128,0.304,0.3115,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/h_label/h_label_CUB_medium,4,,,,0.0099,0.233,34,0.0013,0.0015,261,73.1703,,,,0.3128,0.304,0.3115,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,0,,,,0.0801,0.1709,40.0,0.0184,0.0212,23.0,70.8333,,,,0.8136,0.7542,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,0,,,,0.0801,0.1709,40,0.0184,0.0212,23,70.8333,,,,0.8136,0.7542,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,1,,,,0.0878,0.1741,35.0,0.0171,0.0207,21.0,70.8333,,,,0.8644,0.8305,0.8644,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,1,,,,0.0878,0.1741,35,0.0171,0.0207,21,70.8333,,,,0.8644,0.8305,0.8644,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,2,,,,0.0847,0.1681,35.0,0.018,0.0219,21.0,70.8333,,,,0.8305,0.7966,0.8305,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,2,,,,0.0847,0.1681,35,0.018,0.0219,21,70.8333,,,,0.8305,0.7966,0.8305,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,3,,,,0.0832,0.1726,30.0,0.0167,0.0172,20.0,73.6111,,,,0.822,0.7881,0.8305,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,3,,,,0.0832,0.1726,30,0.0167,0.0172,20,73.6111,,,,0.822,0.7881,0.8305,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,4,,,,0.0856,0.175,45.0,0.0178,0.0209,24.0,70.8333,,,,0.8136,0.8136,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/1,4,,,,0.0856,0.175,45,0.0178,0.0209,24,70.8333,,,,0.8136,0.8136,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,0,,,,0.0818,0.1674,35.0,0.0179,0.0225,21.0,70.8333,,,,0.8051,0.8051,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,0,,,,0.0818,0.1674,35,0.0179,0.0225,21,70.8333,,,,0.8051,0.8051,0.8136,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,1,,,,0.0767,0.1656,45.0,0.0124,0.0152,24.0,73.6111,,,,0.8475,0.7966,0.8475,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,1,,,,0.0767,0.1656,45,0.0124,0.0152,24,73.6111,,,,0.8475,0.7966,0.8475,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,2,,,,0.0866,0.1743,50.0,0.0185,0.0226,26.0,72.9167,,,,0.8559,0.7542,0.8559,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,2,,,,0.0866,0.1743,50,0.0185,0.0226,26,72.9167,,,,0.8559,0.7542,0.8559,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,3,,,,0.0863,0.1745,55.0,0.0184,0.0212,27.0,75.6944,,,,0.8051,0.7966,0.7966,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,3,,,,0.0863,0.1745,55,0.0184,0.0212,27,75.6944,,,,0.8051,0.7966,0.7966,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,4,,,,0.08,0.1693,45.0,0.0153,0.0181,24.0,72.9167,,,,0.822,0.7881,0.822,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/2,4,,,,0.08,0.1693,45,0.0153,0.0181,24,72.9167,,,,0.822,0.7881,0.822,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,0,,,,0.0785,0.1686,40.0,0.0162,0.0195,22.0,70.8333,,,,0.9068,0.839,0.9068,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,0,,,,0.0785,0.1686,40,0.0162,0.0195,22,70.8333,,,,0.9068,0.839,0.9068,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,1,,,,0.0856,0.1727,45.0,0.0186,0.0207,24.0,67.3611,,,,0.8475,0.8475,0.8559,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,1,,,,0.0856,0.1727,45,0.0186,0.0207,24,67.3611,,,,0.8475,0.8475,0.8559,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,2,,,,0.0794,0.1645,40.0,0.0163,0.0223,21.0,67.3611,,,,0.8559,0.8305,0.8559,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,2,,,,0.0794,0.1645,40,0.0163,0.0223,21,67.3611,,,,0.8559,0.8305,0.8559,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,3,,,,0.083,0.1707,45.0,0.0177,0.021,24.0,73.6111,,,,0.8305,0.8051,0.8305,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,3,,,,0.083,0.1707,45,0.0177,0.021,24,73.6111,,,,0.8305,0.8051,0.8305,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,4,,,,0.0855,0.1735,45.0,0.0162,0.0188,24.0,70.1389,,,,0.8475,0.8475,0.839,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/h_label/h_label_CUB_small/3,4,,,,0.0855,0.1735,45,0.0162,0.0188,24,70.1389,,,,0.8475,0.8475,0.839,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,0,,,,0.021,0.1213,40.0,0.006,0.003,178.0,73.2649,,,,0.2791,0.2594,0.2791,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,0,,,,0.021,0.1213,40,0.006,0.003,178,73.2649,,,,0.2791,0.2594,0.2791,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,1,,,,0.0217,0.1218,26.0,0.0057,0.0024,120.0,72.1924,,,,0.2362,0.2126,0.2367,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,1,,,,0.0217,0.1218,26,0.0057,0.0024,120,72.1924,,,,0.2362,0.2126,0.2367,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,2,,,,0.0222,0.1217,20.0,0.0052,0.0022,95.0,71.92,,,,0.217,0.1846,0.2183,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,2,,,,0.0222,0.1217,20,0.0052,0.0022,95,71.92,,,,0.217,0.1846,0.2183,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,3,,,,0.0242,0.1219,18.0,0.0067,0.0023,87.0,71.396,,,,0.2174,0.1815,0.217,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,3,,,,0.0242,0.1219,18,0.0067,0.0023,87,71.396,,,,0.2174,0.1815,0.217,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,4,,,,0.0225,0.1218,20.0,0.0069,0.0028,95.0,71.367,,,,0.2135,0.1767,0.2135,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/h_label/h_label_CUB_medium,4,,,,0.0225,0.1218,20,0.0069,0.0028,95,71.367,,,,0.2135,0.1767,0.2135,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,0,,,,0.0822,0.1531,25.0,0.0137,0.0213,16.0,70.8333,,,,0.7458,0.7373,0.7458,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,0,,,,0.0822,0.1531,25,0.0137,0.0213,16,70.8333,,,,0.7458,0.7373,0.7458,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,1,,,,0.0852,0.154,25.0,0.0213,0.0261,16.0,71.5278,,,,0.6864,0.661,0.7034,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,1,,,,0.0852,0.154,25,0.0213,0.0261,16,71.5278,,,,0.6864,0.661,0.7034,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,2,,,,0.082,0.1474,30.0,0.0151,0.0186,17.0,73.6111,,,,0.7627,0.7373,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,2,,,,0.082,0.1474,30,0.0151,0.0186,17,73.6111,,,,0.7627,0.7373,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,3,,,,0.0823,0.151,30.0,0.0154,0.019,17.0,68.75,,,,0.7034,0.6695,0.7119,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,3,,,,0.0823,0.151,30,0.0154,0.019,17,68.75,,,,0.7034,0.6695,0.7119,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,4,,,,0.0863,0.1534,25.0,0.0185,0.0227,16.0,70.8333,,,,0.7203,0.6356,0.7288,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/1,4,,,,0.0863,0.1534,25,0.0185,0.0227,16,70.8333,,,,0.7203,0.6356,0.7288,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,0,,,,0.0788,0.1468,40.0,0.0144,0.0186,20.0,75.6944,,,,0.7203,0.6864,0.7203,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,0,,,,0.0788,0.1468,40,0.0144,0.0186,20,75.6944,,,,0.7203,0.6864,0.7203,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,1,,,,0.081,0.1486,40.0,0.0169,0.022,20.0,75.6944,,,,0.7542,0.7288,0.7542,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,1,,,,0.081,0.1486,40,0.0169,0.022,20,75.6944,,,,0.7542,0.7288,0.7542,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,2,,,,0.0821,0.1498,45.0,0.0178,0.0203,22.0,77.7778,,,,0.7288,0.6525,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,2,,,,0.0821,0.1498,45,0.0178,0.0203,22,77.7778,,,,0.7288,0.6525,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,3,,,,0.0846,0.1537,40.0,0.0157,0.0209,20.0,73.6111,,,,0.7373,0.6441,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,3,,,,0.0846,0.1537,40,0.0157,0.0209,20,73.6111,,,,0.7373,0.6441,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,4,,,,0.0872,0.1556,45.0,0.0188,0.0235,22.0,75.6944,,,,0.7458,0.678,0.7458,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/2,4,,,,0.0872,0.1556,45,0.0188,0.0235,22,75.6944,,,,0.7458,0.678,0.7458,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,0,,,,0.0805,0.1442,30.0,0.0151,0.0199,17.0,71.5278,,,,0.7203,0.678,0.7288,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,0,,,,0.0805,0.1442,30,0.0151,0.0199,17,71.5278,,,,0.7203,0.678,0.7288,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,1,,,,0.0822,0.1525,30.0,0.0149,0.0162,18.0,68.75,,,,0.7627,0.6864,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,1,,,,0.0822,0.1525,30,0.0149,0.0162,18,68.75,,,,0.7627,0.6864,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,2,,,,0.0826,0.1539,45.0,0.0186,0.0199,22.0,68.75,,,,0.7627,0.661,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,2,,,,0.0826,0.1539,45,0.0186,0.0199,22,68.75,,,,0.7627,0.661,0.7627,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,3,,,,0.0783,0.1407,35.0,0.0162,0.0197,19.0,65.9722,,,,0.7458,0.678,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,3,,,,0.0783,0.1407,35,0.0162,0.0197,19,65.9722,,,,0.7458,0.678,0.7373,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,4,,,,0.0882,0.1568,75.0,0.0196,0.0242,31.0,73.6111,,,,0.7288,0.661,0.7203,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,hierarchical_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/h_label/h_label_CUB_small/3,4,,,,0.0882,0.1568,75,0.0196,0.0242,31,73.6111,,,,0.7288,0.661,0.7203,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,0,,,,0.0108,0.2555,18.0,0.0003,0.0022,435.0,0.5169,0.436,0.4267,0.4306,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,0,,,,0.0108,0.2555,18,0.0003,0.0022,435,0.5169,0.436,0.4267,0.4306,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,1,,,,0.0106,0.2537,25.0,0.0003,0.0012,581.0,0.5513,0.4414,0.2195,0.4298,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,1,,,,0.0106,0.2537,25,0.0003,0.0012,581,0.5513,0.4414,0.2195,0.4298,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,2,,,,0.0099,0.2527,25.0,0.0003,0.0016,579.0,0.5394,0.4613,0.4467,0.4461,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,2,,,,0.0099,0.2527,25,0.0003,0.0016,579,0.5394,0.4613,0.4467,0.4461,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,3,,,,0.0099,0.2517,19.0,0.0003,0.0015,452.0,0.5472,0.4555,0.4477,0.4498,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,3,,,,0.0099,0.2517,19,0.0003,0.0015,452,0.5472,0.4555,0.4477,0.4498,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,4,,,,0.0098,0.2514,17.0,0.0003,0.0013,408.0,0.5029,0.4339,0.4232,0.4172,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,instance_seg/coco_car_person_medium,4,,,,0.0098,0.2514,17,0.0003,0.0013,408,0.5029,0.4339,0.4232,0.4172,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,0,,,,0.029,0.2818,44.0,0.0022,0.0047,164.0,0.5588,0.3609,0.3967,0.5338,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,0,,,,0.029,0.2818,44,0.0022,0.0047,164,0.5588,0.3609,0.3967,0.5338,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,1,,,,0.0277,0.2793,36.0,0.0027,0.0048,138.0,0.559,0.257,0.2526,0.4467,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,1,,,,0.0277,0.2793,36,0.0027,0.0048,138,0.559,0.257,0.2526,0.4467,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,2,,,,0.0279,0.2802,56.0,0.0028,0.0074,199.0,0.5789,0.3268,0.3508,0.5244,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,2,,,,0.0279,0.2802,56,0.0028,0.0074,199,0.5789,0.3268,0.3508,0.5244,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,3,,,,0.027,0.2796,48.0,0.0024,0.0056,174.0,0.5021,0.3119,0.2822,0.4719,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,3,,,,0.027,0.2796,48,0.0024,0.0056,174,0.5021,0.3119,0.2822,0.4719,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,4,,,,0.0266,0.2802,36.0,0.0023,0.0058,139.0,0.5339,0.2879,0.2737,0.4689,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/1,4,,,,0.0266,0.2802,36,0.0023,0.0058,139,0.5339,0.2879,0.2737,0.4689,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,0,,,,0.0269,0.282,48.0,0.0028,0.0076,175.0,0.4852,0.3992,0.3712,0.5186,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,0,,,,0.0269,0.282,48,0.0028,0.0076,175,0.4852,0.3992,0.3712,0.5186,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,1,,,,0.0269,0.2812,48.0,0.0029,0.006,175.0,0.5351,0.3747,0.3563,0.5145,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,1,,,,0.0269,0.2812,48,0.0029,0.006,175,0.5351,0.3747,0.3563,0.5145,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,2,,,,0.0279,0.2821,40.0,0.0027,0.0059,152.0,0.5083,0.3241,0.2408,0.4925,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,2,,,,0.0279,0.2821,40,0.0027,0.0059,152,0.5083,0.3241,0.2408,0.4925,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,3,,,,0.0269,0.2811,40.0,0.002,0.0048,152.0,0.5195,0.3437,0.3373,0.5068,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,3,,,,0.0269,0.2811,40,0.002,0.0048,152,0.5195,0.3437,0.3373,0.5068,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,4,,,,0.0269,0.2846,44.0,0.003,0.0079,165.0,0.4473,0.3477,0.3372,0.4809,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/2,4,,,,0.0269,0.2846,44,0.003,0.0079,165,0.4473,0.3477,0.3372,0.4809,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,0,,,,0.0276,0.2824,44.0,0.0027,0.005,164.0,0.5305,0.3181,0.3031,0.4812,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,0,,,,0.0276,0.2824,44,0.0027,0.005,164,0.5305,0.3181,0.3031,0.4812,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,1,,,,0.0279,0.2844,48.0,0.0028,0.0055,177.0,0.5448,0.38,0.3337,0.4533,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,1,,,,0.0279,0.2844,48,0.0028,0.0055,177,0.5448,0.38,0.3337,0.4533,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,2,,,,0.0284,0.2844,52.0,0.0024,0.0048,189.0,0.5468,0.2689,0.2769,0.4325,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,2,,,,0.0284,0.2844,52,0.0024,0.0048,189,0.5468,0.2689,0.2769,0.4325,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,3,,,,0.0276,0.284,32.0,0.0026,0.0109,128.0,0.5137,0.3075,0.3144,0.3879,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,3,,,,0.0276,0.284,32,0.0026,0.0109,128,0.5137,0.3075,0.3144,0.3879,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,4,,,,0.0275,0.2822,36.0,0.0031,0.0061,140.0,0.5182,0.3085,0.3032,0.4429,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,instance_seg/wgisd_small/3,4,,,,0.0275,0.2822,36,0.0031,0.0061,140,0.5182,0.3085,0.3032,0.4429,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,0,,,,0.0183,0.3819,12.0,0.0007,0.0022,414.0,0.6763,0.605,0.6187,0.6065,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,0,,,,0.0183,0.3819,12,0.0007,0.0022,414,0.6763,0.605,0.6187,0.6065,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,1,,,,0.0181,0.3802,12.0,0.0006,0.0037,413.0,0.6571,0.6216,0.6151,0.6145,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,1,,,,0.0181,0.3802,12,0.0006,0.0037,413,0.6571,0.6216,0.6151,0.6145,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,2,,,,0.0178,0.3813,13.0,0.0005,0.0027,445.0,0.6629,0.6262,0.6298,0.6139,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,2,,,,0.0178,0.3813,13,0.0005,0.0027,445,0.6629,0.6262,0.6298,0.6139,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,3,,,,0.0173,0.3808,14.0,0.0004,0.0041,476.0,0.6627,0.5889,0.5943,0.5822,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,3,,,,0.0173,0.3808,14,0.0004,0.0041,476,0.6627,0.5889,0.5943,0.5822,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,4,,,,0.0189,0.3826,13.0,0.0005,0.003,448.0,0.6559,0.5955,0.5991,0.6154,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,instance_seg/coco_car_person_medium,4,,,,0.0189,0.3826,13,0.0005,0.003,448,0.6559,0.5955,0.5991,0.6154,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,0,,,,0.0283,0.4538,48.0,0.0032,0.0047,239.0,0.4787,0.4475,0.4437,0.4569,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,0,,,,0.0283,0.4538,48,0.0032,0.0047,239,0.4787,0.4475,0.4437,0.4569,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,1,,,,0.0287,0.4528,64.0,0.0026,0.0046,309.0,0.5333,0.4507,0.45,0.4787,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,1,,,,0.0287,0.4528,64,0.0026,0.0046,309,0.5333,0.4507,0.45,0.4787,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,2,,,,0.0276,0.4543,48.0,0.0027,0.0056,239.0,0.4779,0.4508,0.4552,0.4219,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,2,,,,0.0276,0.4543,48,0.0027,0.0056,239,0.4779,0.4508,0.4552,0.4219,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,3,,,,0.0301,0.4586,84.0,0.0027,0.0051,403.0,0.5487,0.4831,0.4809,0.5022,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,3,,,,0.0301,0.4586,84,0.0027,0.0051,403,0.5487,0.4831,0.4809,0.5022,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,4,,,,0.0282,0.4562,76.0,0.0029,0.0058,365.0,0.5795,0.461,0.4661,0.5265,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/1,4,,,,0.0282,0.4562,76,0.0029,0.0058,365,0.5795,0.461,0.4661,0.5265,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,0,,,,0.0285,0.4579,76.0,0.0025,0.0048,368.0,0.463,0.4268,0.4197,0.5073,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,0,,,,0.0285,0.4579,76,0.0025,0.0048,368,0.463,0.4268,0.4197,0.5073,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,1,,,,0.0285,0.4552,48.0,0.0031,0.0068,243.0,0.4602,0.3684,0.3752,0.4639,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,1,,,,0.0285,0.4552,48,0.0031,0.0068,243,0.4602,0.3684,0.3752,0.4639,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,2,,,,0.0296,0.4571,72.0,0.003,0.0051,349.0,0.4772,0.4292,0.4221,0.5284,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,2,,,,0.0296,0.4571,72,0.003,0.0051,349,0.4772,0.4292,0.4221,0.5284,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,3,,,,0.0282,0.4539,48.0,0.0023,0.0036,240.0,0.4497,0.391,0.3962,0.5062,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,3,,,,0.0282,0.4539,48,0.0023,0.0036,240,0.4497,0.391,0.3962,0.5062,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,4,,,,0.0271,0.4497,44.0,0.0027,0.0052,221.0,0.4553,0.3742,0.3775,0.4421,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/2,4,,,,0.0271,0.4497,44,0.0027,0.0052,221,0.4553,0.3742,0.3775,0.4421,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,0,,,,0.0283,0.454,64.0,0.0025,0.0081,308.0,0.5704,0.4133,0.4193,0.4584,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,0,,,,0.0283,0.454,64,0.0025,0.0081,308,0.5704,0.4133,0.4193,0.4584,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,1,,,,0.0268,0.45,64.0,0.0028,0.0049,306.0,0.5373,0.3973,0.3991,0.4026,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,1,,,,0.0268,0.45,64,0.0028,0.0049,306,0.5373,0.3973,0.3991,0.4026,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,2,,,,0.0288,0.4531,56.0,0.0028,0.0044,274.0,0.566,0.4151,0.4141,0.4349,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,2,,,,0.0288,0.4531,56,0.0028,0.0044,274,0.566,0.4151,0.4141,0.4349,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,3,,,,0.0273,0.4505,44.0,0.0027,0.0044,221.0,0.5191,0.3856,0.3841,0.3774,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,3,,,,0.0273,0.4505,44,0.0027,0.0044,221,0.5191,0.3856,0.3841,0.3774,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,4,,,,0.027,0.4526,56.0,0.0022,0.0071,273.0,0.5735,0.3829,0.3896,0.4094,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,instance_seg/wgisd_small/3,4,,,,0.027,0.4526,56,0.0022,0.0071,273,0.5735,0.3829,0.3896,0.4094,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,0,,,,0.0253,0.5277,17.0,0.0012,0.0035,745.0,0.6134,0.5803,0.5645,0.5395,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,0,,,,0.0253,0.5277,17,0.0012,0.0035,745,0.6134,0.5803,0.5645,0.5395,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,1,,,,0.0274,0.5292,16.0,0.0006,0.0043,703.0,0.6462,0.607,0.5908,0.5593,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,1,,,,0.0274,0.5292,16,0.0006,0.0043,703,0.6462,0.607,0.5908,0.5593,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,2,,,,0.0265,0.5253,13.0,0.0006,0.0044,580.0,0.5192,0.4674,0.477,0.4002,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,2,,,,0.0265,0.5253,13,0.0006,0.0044,580,0.5192,0.4674,0.477,0.4002,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,3,,,,0.0267,0.5281,15.0,0.0015,0.0057,663.0,0.5651,0.5213,0.5069,0.4727,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,3,,,,0.0267,0.5281,15,0.0015,0.0057,663,0.5651,0.5213,0.5069,0.4727,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,4,,,,0.0261,0.5233,16.0,0.0009,0.0068,699.0,0.6275,0.5762,0.5675,0.5413,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,instance_seg/coco_car_person_medium,4,,,,0.0261,0.5233,16,0.0009,0.0068,699,0.6275,0.5762,0.5675,0.5413,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,0,,,,0.0347,0.514,56.0,0.0033,0.0106,310.0,0.5506,0.5335,0.507,0.5305,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,0,,,,0.0347,0.514,56,0.0033,0.0106,310,0.5506,0.5335,0.507,0.5305,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,1,,,,0.0355,0.5046,60.0,0.0031,0.0072,328.0,0.515,0.4799,0.4479,0.481,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,1,,,,0.0355,0.5046,60,0.0031,0.0072,328,0.515,0.4799,0.4479,0.481,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,2,,,,0.0333,0.5037,80.0,0.0031,0.0072,416.0,0.5255,0.5024,0.4615,0.4849,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,2,,,,0.0333,0.5037,80,0.0031,0.0072,416,0.5255,0.5024,0.4615,0.4849,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,3,,,,0.0329,0.5015,68.0,0.0033,0.0068,358.0,0.5141,0.5263,0.5303,0.5145,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,3,,,,0.0329,0.5015,68,0.0033,0.0068,358,0.5141,0.5263,0.5303,0.5145,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,4,,,,0.0328,0.5001,64.0,0.0033,0.0095,339.0,0.4853,0.4722,0.4377,0.4662,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/1,4,,,,0.0328,0.5001,64,0.0033,0.0095,339,0.4853,0.4722,0.4377,0.4662,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,0,,,,0.0345,0.5086,64.0,0.0027,0.0096,345.0,0.4168,0.5107,0.4783,0.5028,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,0,,,,0.0345,0.5086,64,0.0027,0.0096,345,0.4168,0.5107,0.4783,0.5028,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,1,,,,0.0332,0.5052,56.0,0.003,0.0075,303.0,0.4058,0.4686,0.4246,0.4621,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,1,,,,0.0332,0.5052,56,0.003,0.0075,303,0.4058,0.4686,0.4246,0.4621,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,2,,,,0.0345,0.5066,64.0,0.0031,0.0093,342.0,0.442,0.5392,0.5191,0.5306,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,2,,,,0.0345,0.5066,64,0.0031,0.0093,342,0.442,0.5392,0.5191,0.5306,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,3,,,,0.0323,0.5054,52.0,0.003,0.0077,284.0,0.4199,0.5059,0.4841,0.4982,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,3,,,,0.0323,0.5054,52,0.003,0.0077,284,0.4199,0.5059,0.4841,0.4982,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,4,,,,0.0351,0.5088,40.0,0.0023,0.008,230.0,0.4019,0.4374,0.365,0.4048,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/2,4,,,,0.0351,0.5088,40,0.0023,0.008,230,0.4019,0.4374,0.365,0.4048,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,0,,,,0.0323,0.5022,60.0,0.0029,0.0079,320.0,0.5243,0.4138,0.3005,0.4023,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,0,,,,0.0323,0.5022,60,0.0029,0.0079,320,0.5243,0.4138,0.3005,0.4023,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,1,,,,0.0346,0.5066,84.0,0.0032,0.0073,438.0,0.5119,0.4529,0.3821,0.4433,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,1,,,,0.0346,0.5066,84,0.0032,0.0073,438,0.5119,0.4529,0.3821,0.4433,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,2,,,,0.0329,0.5045,68.0,0.0027,0.0071,362.0,0.5571,0.4899,0.431,0.4706,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,2,,,,0.0329,0.5045,68,0.0027,0.0071,362,0.5571,0.4899,0.431,0.4706,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,3,,,,0.0339,0.5053,36.0,0.0028,0.0067,209.0,0.4647,0.3759,0.3489,0.349,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,3,,,,0.0339,0.5053,36,0.0028,0.0067,209,0.4647,0.3759,0.3489,0.349,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,4,,,,0.0332,0.5044,48.0,0.0031,0.0077,267.0,0.538,0.4223,0.3754,0.4082,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,instance_seg/wgisd_small/3,4,,,,0.0332,0.5044,48,0.0031,0.0077,267,0.538,0.4223,0.3754,0.4082,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,0,,,,0.0544,0.1254,17.0,0.0029,0.003,548.0,0.9783,,,,0.9787,0.9787,0.9787,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,0,,,,0.0544,0.1254,17,0.0029,0.003,548,0.9783,,,,0.9787,0.9787,0.9787,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,1,,,,0.0547,0.1262,15.0,0.0028,0.0032,429.0,0.9761,,,,0.9763,0.9761,0.9762,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,1,,,,0.0547,0.1262,15,0.0028,0.0032,429,0.9761,,,,0.9763,0.9761,0.9762,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,2,,,,0.0539,0.1251,20.0,0.0037,0.0036,561.0,0.9786,,,,0.9776,0.9774,0.9776,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,2,,,,0.0539,0.1251,20,0.0037,0.0036,561,0.9786,,,,0.9776,0.9774,0.9776,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,3,,,,0.054,0.1247,24.0,0.0037,0.0035,667.0,0.9786,,,,0.9786,0.9783,0.9785,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,3,,,,0.054,0.1247,24,0.0037,0.0035,667,0.9786,,,,0.9786,0.9783,0.9785,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,4,,,,0.0536,0.1247,21.0,0.0031,0.0033,584.0,0.9789,,,,0.9781,0.978,0.978,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/multi_label/multilabel_food101_large,4,,,,0.0536,0.1247,21,0.0031,0.0033,584,0.9789,,,,0.9781,0.978,0.978,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,0,,,,0.0591,0.1307,24.0,0.0045,0.0042,146.0,0.9891,,,,0.9882,0.9885,0.9883,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,0,,,,0.0591,0.1307,24,0.0045,0.0042,146,0.9891,,,,0.9882,0.9885,0.9883,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,1,,,,0.0585,0.1304,28.0,0.0055,0.0049,156.0,0.9899,,,,0.9881,0.9881,0.9881,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,1,,,,0.0585,0.1304,28,0.0055,0.0049,156,0.9899,,,,0.9881,0.9881,0.9881,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,2,,,,0.0577,0.1299,32.0,0.004,0.0037,177.0,0.9899,,,,0.9895,0.9892,0.9894,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,2,,,,0.0577,0.1299,32,0.004,0.0037,177,0.9899,,,,0.9895,0.9892,0.9894,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,3,,,,0.0559,0.1281,30.0,0.004,0.003,165.0,0.9901,,,,0.9889,0.9888,0.9888,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,3,,,,0.0559,0.1281,30,0.004,0.003,165,0.9901,,,,0.9889,0.9888,0.9888,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,4,,,,0.0571,0.1295,28.0,0.0044,0.004,156.0,0.9901,,,,0.9884,0.9887,0.9884,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/multi_label/multilabel_CUB_medium,4,,,,0.0571,0.1295,28,0.0044,0.004,156,0.9901,,,,0.9884,0.9887,0.9884,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,0,,,,0.0427,0.1051,16.0,0.0022,0.0064,22.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,0,,,,0.0427,0.1051,16,0.0022,0.0064,22,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,1,,,,0.0433,0.1069,16.0,0.003,0.006,22.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,1,,,,0.0433,0.1069,16,0.003,0.006,22,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,2,,,,0.0433,0.1095,16.0,0.0024,0.0066,22.0,0.9583,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,2,,,,0.0433,0.1095,16,0.0024,0.0066,22,0.9583,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,3,,,,0.0415,0.1033,16.0,0.0031,0.0057,22.0,0.9583,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,3,,,,0.0415,0.1033,16,0.0031,0.0057,22,0.9583,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,4,,,,0.0395,0.1019,16.0,0.003,0.0044,22.0,0.9583,,,,0.9887,0.9831,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/1,4,,,,0.0395,0.1019,16,0.003,0.0044,22,0.9583,,,,0.9887,0.9831,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,0,,,,0.0422,0.1044,16.0,0.0028,0.0046,22.0,1.0,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,0,,,,0.0422,0.1044,16,0.0028,0.0046,22,1,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,1,,,,0.043,0.1061,16.0,0.0028,0.0054,22.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,1,,,,0.043,0.1061,16,0.0028,0.0054,22,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,2,,,,0.0416,0.1066,16.0,0.0033,0.0057,22.0,1.0,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,2,,,,0.0416,0.1066,16,0.0033,0.0057,22,1,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,3,,,,0.0417,0.1024,16.0,0.0019,0.0051,22.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,3,,,,0.0417,0.1024,16,0.0019,0.0051,22,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,4,,,,0.0414,0.1046,16.0,0.0033,0.0061,21.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/2,4,,,,0.0414,0.1046,16,0.0033,0.0061,21,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,0,,,,0.0414,0.1027,16.0,0.0026,0.0046,21.0,1.0,,,,0.9774,0.9774,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,0,,,,0.0414,0.1027,16,0.0026,0.0046,21,1,,,,0.9774,0.9774,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,1,,,,0.0428,0.106,16.0,0.0025,0.0068,22.0,1.0,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,1,,,,0.0428,0.106,16,0.0025,0.0068,22,1,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,2,,,,0.0419,0.1035,16.0,0.0028,0.0055,22.0,1.0,,,,0.9944,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,2,,,,0.0419,0.1035,16,0.0028,0.0055,22,1,,,,0.9944,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,3,,,,0.043,0.108,16.0,0.0017,0.0031,22.0,1.0,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,3,,,,0.043,0.108,16,0.0017,0.0031,22,1,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,4,,,,0.0423,0.1045,16.0,0.0027,0.0059,22.0,1.0,,,,0.9774,0.9774,0.9774,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/multi_label/multilabel_CUB_small/3,4,,,,0.0423,0.1045,16,0.0027,0.0059,22,1,,,,0.9774,0.9774,0.9774,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,0,,,,0.0098,0.3305,17.0,0.0025,0.0048,1034.0,0.9898,,,,0.9895,0.9893,0.9895,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,0,,,,0.0098,0.3305,17,0.0025,0.0048,1034,0.9898,,,,0.9895,0.9893,0.9895,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,1,,,,0.0099,0.3328,16.0,0.0022,0.0041,982.0,0.9898,,,,0.989,0.9892,0.9891,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,1,,,,0.0099,0.3328,16,0.0022,0.0041,982,0.9898,,,,0.989,0.9892,0.9891,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,2,,,,0.0098,0.3312,16.0,0.0023,0.0041,974.0,0.99,,,,0.9896,0.9892,0.9896,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,2,,,,0.0098,0.3312,16,0.0023,0.0041,974,0.99,,,,0.9896,0.9892,0.9896,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,3,,,,0.0098,0.3301,17.0,0.0023,0.0037,1034.0,0.9893,,,,0.9885,0.9877,0.9885,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,3,,,,0.0098,0.3301,17,0.0023,0.0037,1034,0.9893,,,,0.9885,0.9877,0.9885,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,4,,,,0.0099,0.3314,16.0,0.0021,0.0043,977.0,0.9892,,,,0.9882,0.9878,0.9882,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/multi_label/multilabel_food101_large,4,,,,0.0099,0.3314,16,0.0021,0.0043,977,0.9892,,,,0.9882,0.9878,0.9882,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,0,,,,0.0204,0.3414,26.0,0.0012,0.004,329.0,0.9964,,,,0.9957,0.9958,0.9957,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,0,,,,0.0204,0.3414,26,0.0012,0.004,329,0.9964,,,,0.9957,0.9958,0.9957,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,1,,,,0.0208,0.3365,22.0,0.0009,0.0034,279.0,0.9959,,,,0.9956,0.9956,0.9956,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,1,,,,0.0208,0.3365,22,0.0009,0.0034,279,0.9959,,,,0.9956,0.9956,0.9956,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,2,,,,0.0206,0.3385,26.0,0.0008,0.004,328.0,0.9964,,,,0.9958,0.9957,0.9958,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,2,,,,0.0206,0.3385,26,0.0008,0.004,328,0.9964,,,,0.9958,0.9957,0.9958,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,3,,,,0.0205,0.342,26.0,0.001,0.0036,331.0,0.9965,,,,0.996,0.9959,0.996,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,3,,,,0.0205,0.342,26,0.001,0.0036,331,0.9965,,,,0.996,0.9959,0.996,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,4,,,,0.0204,0.343,22.0,0.0009,0.005,283.0,0.996,,,,0.9956,0.9955,0.9956,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/multi_label/multilabel_CUB_medium,4,,,,0.0204,0.343,22,0.0009,0.005,283,0.996,,,,0.9956,0.9955,0.9956,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,0,,,,0.0435,0.3135,16.0,0.0022,0.0122,43.0,1.0,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,0,,,,0.0435,0.3135,16,0.0022,0.0122,43,1,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,1,,,,0.0418,0.3111,16.0,0.003,0.0127,43.0,1.0,,,,0.9887,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,1,,,,0.0418,0.3111,16,0.003,0.0127,43,1,,,,0.9887,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,2,,,,0.0436,0.3108,16.0,0.0025,0.0089,43.0,0.9583,,,,0.9831,0.9944,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,2,,,,0.0436,0.3108,16,0.0025,0.0089,43,0.9583,,,,0.9831,0.9944,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,3,,,,0.0446,0.3229,16.0,0.0026,0.0097,44.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,3,,,,0.0446,0.3229,16,0.0026,0.0097,44,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,4,,,,0.0426,0.3119,16.0,0.0022,0.0112,43.0,1.0,,,,1.0,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/1,4,,,,0.0426,0.3119,16,0.0022,0.0112,43,1,,,,1,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,0,,,,0.0401,0.308,16.0,0.0024,0.0094,43.0,1.0,,,,0.9887,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,0,,,,0.0401,0.308,16,0.0024,0.0094,43,1,,,,0.9887,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,1,,,,0.043,0.3189,16.0,0.0032,0.0116,44.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,1,,,,0.043,0.3189,16,0.0032,0.0116,44,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,2,,,,0.0434,0.3144,16.0,0.0029,0.0113,43.0,1.0,,,,0.9944,1.0,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,2,,,,0.0434,0.3144,16,0.0029,0.0113,43,1,,,,0.9944,1,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,3,,,,0.0447,0.3153,16.0,0.0035,0.0129,44.0,1.0,,,,0.9944,1.0,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,3,,,,0.0447,0.3153,16,0.0035,0.0129,44,1,,,,0.9944,1,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,4,,,,0.0419,0.3119,16.0,0.0022,0.0097,43.0,1.0,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/2,4,,,,0.0419,0.3119,16,0.0022,0.0097,43,1,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,0,,,,0.0416,0.3157,16.0,0.0029,0.0146,43.0,1.0,,,,0.9887,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,0,,,,0.0416,0.3157,16,0.0029,0.0146,43,1,,,,0.9887,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,1,,,,0.0439,0.3215,16.0,0.0028,0.0104,44.0,1.0,,,,1.0,0.9944,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,1,,,,0.0439,0.3215,16,0.0028,0.0104,44,1,,,,1,0.9944,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,2,,,,0.0431,0.313,16.0,0.0028,0.0078,43.0,1.0,,,,0.9944,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,2,,,,0.0431,0.313,16,0.0028,0.0078,43,1,,,,0.9944,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,3,,,,0.0419,0.3231,16.0,0.0024,0.0079,45.0,1.0,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,3,,,,0.0419,0.3231,16,0.0024,0.0079,45,1,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,4,,,,0.0443,0.3144,16.0,0.0026,0.0104,43.0,1.0,,,,0.9887,1.0,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/multi_label/multilabel_CUB_small/3,4,,,,0.0443,0.3144,16,0.0026,0.0104,43,1,,,,0.9887,1,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,0,,,,0.0106,0.1887,25.0,0.0024,0.0042,942.0,0.9831,,,,0.9824,0.981,0.9823,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,0,,,,0.0106,0.1887,25,0.0024,0.0042,942,0.9831,,,,0.9824,0.981,0.9823,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,1,,,,0.0101,0.1864,22.0,0.0022,0.0037,827.0,0.9798,,,,0.9794,0.978,0.9794,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,1,,,,0.0101,0.1864,22,0.0022,0.0037,827,0.9798,,,,0.9794,0.978,0.9794,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,2,,,,0.0098,0.1857,44.0,0.0021,0.0035,1627.0,0.9852,,,,0.9846,0.9844,0.9846,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,2,,,,0.0098,0.1857,44,0.0021,0.0035,1627,0.9852,,,,0.9846,0.9844,0.9846,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,3,,,,0.0101,0.1876,22.0,0.0021,0.0035,828.0,0.9831,,,,0.9823,0.982,0.9823,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,3,,,,0.0101,0.1876,22,0.0021,0.0035,828,0.9831,,,,0.9823,0.982,0.9823,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,4,,,,0.0099,0.1854,22.0,0.0021,0.0038,823.0,0.9804,,,,0.9802,0.9791,0.9802,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/multi_label/multilabel_food101_large,4,,,,0.0099,0.1854,22,0.0021,0.0038,823,0.9804,,,,0.9802,0.9791,0.9802,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,0,,,,0.0203,0.1968,30.0,0.001,0.0042,229.0,0.9937,,,,0.9936,0.9932,0.9936,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,0,,,,0.0203,0.1968,30,0.001,0.0042,229,0.9937,,,,0.9936,0.9932,0.9936,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,1,,,,0.0203,0.1962,24.0,0.001,0.0036,184.0,0.9932,,,,0.9922,0.9919,0.9922,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,1,,,,0.0203,0.1962,24,0.001,0.0036,184,0.9932,,,,0.9922,0.9919,0.9922,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,2,,,,0.0202,0.1967,28.0,0.0011,0.0038,214.0,0.9941,,,,0.9934,0.9932,0.9934,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,2,,,,0.0202,0.1967,28,0.0011,0.0038,214,0.9941,,,,0.9934,0.9932,0.9934,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,3,,,,0.0203,0.196,46.0,0.0012,0.004,343.0,0.9943,,,,0.9942,0.9943,0.9941,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,3,,,,0.0203,0.196,46,0.0012,0.004,343,0.9943,,,,0.9942,0.9943,0.9941,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,4,,,,0.0201,0.1961,22.0,0.0011,0.0052,169.0,0.9929,,,,0.9921,0.9919,0.9921,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/multi_label/multilabel_CUB_medium,4,,,,0.0201,0.1961,22,0.0011,0.0052,169,0.9929,,,,0.9921,0.9919,0.9921,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,0,,,,0.0419,0.1885,16.0,0.0034,0.0149,27.0,1.0,,,,0.9944,1.0,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,0,,,,0.0419,0.1885,16,0.0034,0.0149,27,1,,,,0.9944,1,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,1,,,,0.0395,0.184,16.0,0.0028,0.0126,27.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,1,,,,0.0395,0.184,16,0.0028,0.0126,27,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,2,,,,0.0407,0.1796,16.0,0.0025,0.0113,27.0,1.0,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,2,,,,0.0407,0.1796,16,0.0025,0.0113,27,1,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,3,,,,0.0415,0.1892,16.0,0.0025,0.0132,28.0,1.0,,,,0.9944,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,3,,,,0.0415,0.1892,16,0.0025,0.0132,28,1,,,,0.9944,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,4,,,,0.0418,0.1837,16.0,0.0029,0.0107,27.0,1.0,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/1,4,,,,0.0418,0.1837,16,0.0029,0.0107,27,1,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,0,,,,0.0432,0.1869,16.0,0.0026,0.0132,27.0,1.0,,,,0.9774,0.9774,0.9774,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,0,,,,0.0432,0.1869,16,0.0026,0.0132,27,1,,,,0.9774,0.9774,0.9774,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,1,,,,0.0438,0.1928,16.0,0.002,0.011,28.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,1,,,,0.0438,0.1928,16,0.002,0.011,28,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,2,,,,0.0433,0.1942,16.0,0.0026,0.018,28.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,2,,,,0.0433,0.1942,16,0.0026,0.018,28,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,3,,,,0.0437,0.1869,16.0,0.0021,0.0157,27.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,3,,,,0.0437,0.1869,16,0.0021,0.0157,27,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,4,,,,0.0409,0.1901,16.0,0.003,0.0143,28.0,1.0,,,,0.9718,0.9605,0.9718,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/2,4,,,,0.0409,0.1901,16,0.003,0.0143,28,1,,,,0.9718,0.9605,0.9718,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,0,,,,0.0435,0.1858,20.0,0.0098,0.021,32.0,1.0,,,,0.9379,0.9379,0.9379,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,0,,,,0.0435,0.1858,20,0.0098,0.021,32,1,,,,0.9379,0.9379,0.9379,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,1,,,,0.041,0.1771,16.0,0.003,0.0081,27.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,1,,,,0.041,0.1771,16,0.003,0.0081,27,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,2,,,,0.0417,0.1899,16.0,0.0034,0.0086,27.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,2,,,,0.0417,0.1899,16,0.0034,0.0086,27,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,3,,,,0.0419,0.1834,16.0,0.0019,0.01,27.0,1.0,,,,0.9435,0.9548,0.9435,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,3,,,,0.0419,0.1834,16,0.0019,0.01,27,1,,,,0.9435,0.9548,0.9435,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,4,,,,0.0405,0.1763,16.0,0.0027,0.0073,26.0,1.0,,,,0.9831,0.9887,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/multi_label/multilabel_CUB_small/3,4,,,,0.0405,0.1763,16,0.0027,0.0073,26,1,,,,0.9831,0.9887,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,0,,,,0.0106,0.1489,16.0,0.0022,0.0032,511.0,0.9809,,,,0.9803,0.9766,0.9803,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,0,,,,0.0106,0.1489,16,0.0022,0.0032,511,0.9809,,,,0.9803,0.9766,0.9803,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,1,,,,0.0105,0.1487,23.0,0.0022,0.0035,725.0,0.9818,,,,0.981,0.9795,0.981,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,1,,,,0.0105,0.1487,23,0.0022,0.0035,725,0.9818,,,,0.981,0.9795,0.981,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,2,,,,0.0107,0.1489,22.0,0.0021,0.0029,694.0,0.9821,,,,0.9814,0.9782,0.9813,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,2,,,,0.0107,0.1489,22,0.0021,0.0029,694,0.9821,,,,0.9814,0.9782,0.9813,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,3,,,,0.0104,0.148,20.0,0.0021,0.0029,630.0,0.982,,,,0.981,0.9789,0.9811,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,3,,,,0.0104,0.148,20,0.0021,0.0029,630,0.982,,,,0.981,0.9789,0.9811,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,4,,,,0.0106,0.1468,23.0,0.0021,0.0032,717.0,0.9814,,,,0.9811,0.9785,0.981,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/multi_label/multilabel_food101_large,4,,,,0.0106,0.1468,23,0.0021,0.0032,717,0.9814,,,,0.9811,0.9785,0.981,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,0,,,,0.0211,0.1577,30.0,0.0009,0.0029,191.0,0.9943,,,,0.9935,0.9926,0.9935,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,0,,,,0.0211,0.1577,30,0.0009,0.0029,191,0.9943,,,,0.9935,0.9926,0.9935,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,1,,,,0.0215,0.1609,24.0,0.0011,0.0039,157.0,0.9941,,,,0.993,0.9917,0.993,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,1,,,,0.0215,0.1609,24,0.0011,0.0039,157,0.9941,,,,0.993,0.9917,0.993,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,2,,,,0.0215,0.1596,26.0,0.0009,0.0029,168.0,0.9939,,,,0.9935,0.9927,0.9935,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,2,,,,0.0215,0.1596,26,0.0009,0.0029,168,0.9939,,,,0.9935,0.9927,0.9935,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,3,,,,0.0211,0.1582,22.0,0.001,0.0033,142.0,0.994,,,,0.9931,0.9922,0.993,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,3,,,,0.0211,0.1582,22,0.001,0.0033,142,0.994,,,,0.9931,0.9922,0.993,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,4,,,,0.0213,0.1581,34.0,0.0012,0.004,215.0,0.9942,,,,0.9938,0.9927,0.9938,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/multi_label/multilabel_CUB_medium,4,,,,0.0213,0.1581,34,0.0012,0.004,215,0.9942,,,,0.9938,0.9927,0.9938,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,0,,,,0.0419,0.1646,16.0,0.0022,0.0104,25.0,1.0,,,,1.0,0.9944,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,0,,,,0.0419,0.1646,16,0.0022,0.0104,25,1,,,,1,0.9944,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,1,,,,0.0429,0.162,16.0,0.0029,0.009,25.0,1.0,,,,0.9887,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,1,,,,0.0429,0.162,16,0.0029,0.009,25,1,,,,0.9887,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,2,,,,0.0433,0.165,16.0,0.0019,0.0128,25.0,1.0,,,,0.9887,0.9831,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,2,,,,0.0433,0.165,16,0.0019,0.0128,25,1,,,,0.9887,0.9831,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,3,,,,0.0436,0.1688,16.0,0.0026,0.0084,25.0,1.0,,,,0.9944,0.9887,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,3,,,,0.0436,0.1688,16,0.0026,0.0084,25,1,,,,0.9944,0.9887,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,4,,,,0.0423,0.1595,16.0,0.0023,0.0092,25.0,1.0,,,,0.9944,0.9831,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/1,4,,,,0.0423,0.1595,16,0.0023,0.0092,25,1,,,,0.9944,0.9831,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,0,,,,0.0405,0.1683,16.0,0.0034,0.0113,25.0,1.0,,,,0.9887,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,0,,,,0.0405,0.1683,16,0.0034,0.0113,25,1,,,,0.9887,0.9944,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,1,,,,0.043,0.1628,16.0,0.0022,0.0126,25.0,1.0,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,1,,,,0.043,0.1628,16,0.0022,0.0126,25,1,,,,0.9887,0.9887,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,2,,,,0.0425,0.1671,16.0,0.0025,0.0095,25.0,1.0,,,,0.9774,0.9887,0.9774,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,2,,,,0.0425,0.1671,16,0.0025,0.0095,25,1,,,,0.9774,0.9887,0.9774,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,3,,,,0.0428,0.1672,16.0,0.0023,0.0092,25.0,1.0,,,,0.9718,0.9887,0.9718,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,3,,,,0.0428,0.1672,16,0.0023,0.0092,25,1,,,,0.9718,0.9887,0.9718,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,4,,,,0.0412,0.1703,16.0,0.0021,0.008,26.0,1.0,,,,0.9944,0.9831,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/2,4,,,,0.0412,0.1703,16,0.0021,0.008,26,1,,,,0.9944,0.9831,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,0,,,,0.0416,0.1639,16.0,0.0028,0.0096,25.0,1.0,,,,0.9944,0.9887,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,0,,,,0.0416,0.1639,16,0.0028,0.0096,25,1,,,,0.9944,0.9887,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,1,,,,0.0416,0.1562,16.0,0.0025,0.0098,24.0,1.0,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,1,,,,0.0416,0.1562,16,0.0025,0.0098,24,1,,,,0.9944,0.9944,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,2,,,,0.0426,0.1643,16.0,0.003,0.0094,25.0,1.0,,,,0.9944,0.9661,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,2,,,,0.0426,0.1643,16,0.003,0.0094,25,1,,,,0.9944,0.9661,0.9944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,3,,,,0.0436,0.1711,16.0,0.0033,0.0109,26.0,1.0,,,,0.9887,0.9831,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,3,,,,0.0436,0.1711,16,0.0033,0.0109,26,1,,,,0.9887,0.9831,0.9887,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,4,,,,0.0409,0.1593,16.0,0.0028,0.0088,25.0,1.0,,,,0.9718,0.9322,0.9718,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,4,,,,0.0409,0.1593,16,0.0028,0.0088,25,1,,,,0.9718,0.9322,0.9718,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,0,0.896,0.8943,0.8969,0.0071,0.2784,37.0,0.007,0.0117,1354.0,0.925,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,1,0.8315,0.8321,0.8321,0.007,0.2832,17.0,0.007,0.0128,644.0,0.9139,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,2,0.8878,0.889,0.8886,0.007,0.2775,20.0,0.0069,0.0117,739.0,0.9147,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,3,0.869,0.8642,0.8686,0.007,0.2802,16.0,0.007,0.0127,600.0,0.9146,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,4,0.8671,0.8665,0.8666,0.0071,0.2783,9.0,0.0073,0.0131,346.0,0.908,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,0,0.8107,0.8087,0.8101,0.0107,0.283,11.0,0.0106,0.0168,198.0,0.8787,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,1,0.8232,0.8247,0.8237,0.0108,0.2805,16.0,0.0101,0.0145,278.0,0.8858,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,2,0.8281,0.8276,0.8285,0.0117,0.2832,13.0,0.0108,0.0188,231.0,0.891,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,3,0.8092,0.8124,0.8104,0.0112,0.2797,16.0,0.0098,0.0177,276.0,0.8855,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,4,0.8068,0.8021,0.8068,0.0111,0.2905,15.0,0.0099,0.0151,269.0,0.8824,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,0,0.7489,0.7495,0.7492,0.0751,0.3487,42.0,0.0083,0.0162,99.0,0.8688,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,1,0.6816,0.6793,0.6815,0.0729,0.3494,39.0,0.0087,0.0184,93.0,0.866,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,2,0.7322,0.7311,0.7311,0.0746,0.3455,39.0,0.0066,0.0155,92.0,0.8635,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,3,0.7492,0.747,0.751,0.075,0.3438,49.0,0.0075,0.0142,112.0,0.8351,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,4,0.7244,0.7251,0.725,0.0765,0.3432,39.0,0.0075,0.0119,91.0,0.839,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,0,0.6685,0.6696,0.6686,0.0733,0.3448,46.0,0.0071,0.0151,106.0,0.7893,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,1,0.7005,0.6977,0.7003,0.0722,0.3448,41.0,0.0095,0.0171,96.0,0.766,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,2,0.6994,0.6996,0.7001,0.0725,0.3447,41.0,0.008,0.0114,95.0,0.7966,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,3,0.7376,0.7358,0.7379,0.0721,0.3431,46.0,0.0093,0.0143,105.0,0.768,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,4,0.6954,0.6941,0.6948,0.0729,0.343,49.0,0.0095,0.0155,110.0,0.781,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,0,0.6727,0.6731,0.6731,0.0754,0.3415,44.0,0.0075,0.014,100.0,0.7866,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,1,0.6286,0.6285,0.6287,0.0765,0.3482,39.0,0.0071,0.0163,91.0,0.776,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,2,0.6821,0.6834,0.6839,0.076,0.345,45.0,0.0077,0.0142,104.0,0.8016,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,3,0.6262,0.6262,0.6269,0.0765,0.3569,41.0,0.0074,0.0178,97.0,0.7871,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,4,0.6445,0.6441,0.645,0.0762,0.341,40.0,0.0069,0.0143,92.0,0.7821,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,0,0.8523,0.3041,0.8525,0.007,0.2766,16.0,0.0069,0.0124,595.0,0.9098,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,1,0.8696,0.3069,0.8688,0.0067,0.2819,11.0,0.0069,0.0122,423.0,0.9107,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,2,0.8593,0.2719,0.8582,0.0069,0.2776,12.0,0.0071,0.0127,453.0,0.9199,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,3,0.8327,0.2986,0.8342,0.0069,0.2797,11.0,0.0071,0.013,419.0,0.9135,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,4,0.862,0.3021,0.8623,0.0069,0.277,13.0,0.0071,0.0121,488.0,0.912,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,0,0.8316,0.3039,0.832,0.0106,0.2795,15.0,0.0104,0.0162,262.0,0.8855,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,1,0.8455,0.1829,0.8457,0.0103,0.2817,21.0,0.0102,0.015,361.0,0.9005,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,2,0.8393,0.3023,0.8396,0.0102,0.2787,16.0,0.01,0.0137,276.0,0.8914,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,3,0.8172,0.302,0.8176,0.0106,0.2781,22.0,0.0107,0.0174,373.0,0.8877,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,4,0.7855,0.3021,0.7868,0.0103,0.2813,13.0,0.01,0.0177,230.0,0.8825,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,0,0.7405,0.3119,0.7416,0.0745,0.3469,41.0,0.0083,0.0176,97.0,0.8477,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,1,0.7188,0.3096,0.7186,0.0732,0.3427,39.0,0.0088,0.0155,92.0,0.8435,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,2,0.7212,0.3228,0.7202,0.0753,0.3478,39.0,0.008,0.0135,92.0,0.8544,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,3,0.7159,0.2273,0.717,0.0755,0.3458,51.0,0.0076,0.0124,117.0,0.8491,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,4,0.7103,0.3022,0.7104,0.076,0.344,47.0,0.0087,0.0172,108.0,0.8498,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,0,0.6506,0.302,0.6517,0.0729,0.3474,46.0,0.0093,0.0137,108.0,0.7945,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,1,0.6935,0.1309,0.6928,0.0743,0.3431,46.0,0.0082,0.014,105.0,0.7692,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,2,0.6715,0.3055,0.6719,0.072,0.3437,47.0,0.008,0.0154,107.0,0.7803,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,3,0.6992,0.3232,0.6991,0.0715,0.3434,42.0,0.0074,0.0128,98.0,0.7636,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,4,0.6977,0.3021,0.6974,0.0745,0.3466,46.0,0.0103,0.0159,105.0,0.7819,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,0,0.626,0.302,0.627,0.079,0.3539,49.0,0.0099,0.0175,112.0,0.7923,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,1,0.71,0.3183,0.7107,0.0758,0.3476,40.0,0.0077,0.0137,93.0,0.7949,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,2,0.6116,0.3057,0.6127,0.0787,0.3522,52.0,0.0094,0.0152,119.0,0.7867,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,3,0.691,0.3283,0.691,0.0764,0.3508,41.0,0.007,0.0137,96.0,0.7873,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,4,0.6628,0.3043,0.6635,0.0763,0.3464,42.0,0.0063,0.0147,97.0,0.817,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,0,0.8329,0.8086,0.8335,0.007,0.2246,19.0,0.0068,0.0115,565.0,0.9149,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,1,0.8247,0.8195,0.8256,0.0072,0.2254,24.0,0.0074,0.0123,709.0,0.9107,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,2,0.8188,0.6072,0.8188,0.0068,0.2247,8.0,0.0068,0.0114,250.0,0.8877,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,3,0.8543,0.8376,0.8542,0.007,0.2286,19.0,0.0069,0.0116,574.0,0.9127,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,4,0.8567,0.8276,0.8565,0.007,0.223,17.0,0.0067,0.0126,504.0,0.9137,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,0,0.8254,0.7526,0.8264,0.0106,0.229,17.0,0.0102,0.0147,230.0,0.8916,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,1,0.8151,0.7971,0.816,0.0103,0.2264,19.0,0.0098,0.0151,255.0,0.8894,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,2,0.8453,0.8416,0.8458,0.0103,0.2251,17.0,0.0098,0.0161,229.0,0.8862,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,3,0.8059,0.7371,0.8061,0.0105,0.2279,19.0,0.0104,0.0164,256.0,0.8877,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,4,0.847,0.8365,0.8473,0.0105,0.2268,19.0,0.0103,0.0161,256.0,0.8892,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,0,0.671,0.6754,0.6716,0.0746,0.2902,41.0,0.0096,0.0165,79.0,0.8347,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,1,0.71,0.6911,0.7099,0.0746,0.2957,39.0,0.0087,0.0189,76.0,0.8404,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,2,0.6852,0.6242,0.6847,0.0728,0.2924,47.0,0.009,0.0149,88.0,0.8059,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,3,0.7074,0.6852,0.7087,0.0734,0.2932,40.0,0.007,0.0122,78.0,0.8388,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,4,0.7055,0.6928,0.7047,0.0746,0.3003,39.0,0.0084,0.0142,76.0,0.8088,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,0,0.6879,0.6012,0.6881,0.072,0.2948,45.0,0.008,0.0112,85.0,0.7728,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,1,0.6816,0.6434,0.6824,0.0708,0.2886,39.0,0.0062,0.0126,74.0,0.8122,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,2,0.6742,0.5436,0.6743,0.071,0.2901,41.0,0.0094,0.0169,78.0,0.7616,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,3,0.6668,0.6076,0.6671,0.0696,0.2897,42.0,0.0084,0.0153,80.0,0.7888,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,4,0.6923,0.6486,0.692,0.0713,0.2918,54.0,0.0086,0.0159,99.0,0.817,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,0,0.6762,0.5721,0.6758,0.0759,0.3024,52.0,0.0076,0.0127,97.0,0.7585,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,1,0.649,0.5784,0.6493,0.0762,0.2914,44.0,0.0078,0.0134,82.0,0.7413,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,2,0.5623,0.4976,0.562,0.0752,0.2937,50.0,0.007,0.0146,92.0,0.7507,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,3,0.6175,0.5196,0.6173,0.0787,0.3021,43.0,0.009,0.0156,83.0,0.7865,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,4,0.5823,0.5119,0.581,0.0764,0.2973,44.0,0.009,0.0154,84.0,0.7492,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,0,0.8962,0.8644,0.8968,0.0072,0.5047,25.0,0.007,0.0112,1636.0,0.9298,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,1,0.8531,0.8278,0.8532,0.0071,0.5055,11.0,0.0076,0.0126,737.0,0.912,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,2,0.8542,0.8255,0.8544,0.007,0.5025,13.0,0.0073,0.0109,860.0,0.9092,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,3,0.8616,0.7978,0.8617,0.0069,0.5038,12.0,0.007,0.0123,798.0,0.9017,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,4,0.8643,0.8411,0.8654,0.0072,0.5008,16.0,0.0075,0.0112,1051.0,0.9067,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,0,0.8105,0.7521,0.8112,0.0117,0.502,18.0,0.0112,0.0158,526.0,0.8919,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,1,0.8055,0.7314,0.8055,0.0108,0.5039,10.0,0.0097,0.0118,305.0,0.8695,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,2,0.8178,0.7895,0.8178,0.0113,0.505,16.0,0.0104,0.0151,472.0,0.8954,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,3,0.8152,0.8091,0.8157,0.0112,0.5041,18.0,0.0104,0.0177,529.0,0.8809,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,4,0.8183,0.748,0.8182,0.011,0.5047,9.0,0.01,0.0141,278.0,0.8796,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,0,0.6963,0.5816,0.6961,0.0775,0.5746,42.0,0.0085,0.0117,159.0,0.8537,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,1,0.7728,0.687,0.7737,0.0779,0.5762,55.0,0.0097,0.0277,203.0,0.849,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,2,0.723,0.6829,0.7235,0.0755,0.5713,43.0,0.0073,0.0258,160.0,0.8461,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,3,0.7486,0.61,0.7488,0.0773,0.5708,39.0,0.0075,0.0248,148.0,0.8674,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,4,0.7491,0.667,0.7498,0.0773,0.5734,41.0,0.0083,0.0193,158.0,0.8405,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,0,0.6854,0.5861,0.6863,0.0761,0.5715,40.0,0.0101,0.0183,151.0,0.823,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,1,0.6249,0.5143,0.625,0.0747,0.5726,43.0,0.0068,0.0246,161.0,0.777,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,2,0.6624,0.6247,0.6611,0.0727,0.5686,49.0,0.0075,0.0153,179.0,0.7807,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,3,0.6826,0.5969,0.6819,0.0734,0.5701,39.0,0.0086,0.0256,146.0,0.7736,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,4,0.6599,0.6022,0.66,0.0744,0.5751,40.0,0.0096,0.0169,151.0,0.7815,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,0,0.5974,0.4154,0.5967,0.0793,0.5721,39.0,0.006,0.0102,148.0,0.7762,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,1,0.6688,0.4551,0.6686,0.079,0.5793,40.0,0.0085,0.0141,153.0,0.7726,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,2,0.6914,0.6608,0.6917,0.0778,0.5743,41.0,0.0077,0.0115,153.0,0.8023,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,3,0.5809,0.5709,0.5808,0.0805,0.5727,48.0,0.0099,0.0166,177.0,0.7809,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,4,0.6245,0.4798,0.626,0.078,0.5758,46.0,0.0075,0.0162,173.0,0.7662,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,0,0.895,0.8947,0.8955,0.0088,0.3383,31.0,0.007,0.0081,1291.0,0.9404,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,1,0.9054,0.9064,0.9059,0.0088,0.3382,25.0,0.0071,0.0085,1048.0,0.936,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,2,0.9138,0.9102,0.9144,0.0088,0.3377,42.0,0.007,0.0081,1737.0,0.9411,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,3,0.9008,0.8941,0.9002,0.0086,0.3375,39.0,0.0071,0.008,1617.0,0.946,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,4,0.8862,0.882,0.8868,0.0084,0.3372,29.0,0.0072,0.0082,1207.0,0.9385,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,0,0.8798,0.8768,0.8801,0.0127,0.3414,36.0,0.0102,0.0116,582.0,0.9115,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,1,0.8656,0.8642,0.8659,0.0129,0.3427,61.0,0.0103,0.0122,975.0,0.9189,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,2,0.8442,0.8336,0.8449,0.0128,0.3427,31.0,0.0102,0.0119,506.0,0.9057,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,3,0.8926,0.8891,0.8926,0.0127,0.3407,69.0,0.01,0.0116,1090.0,0.9212,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,4,0.8617,0.8646,0.8619,0.0129,0.3426,36.0,0.0102,0.0116,585.0,0.9134,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,0,0.7407,0.7238,0.742,0.0768,0.4054,30.0,0.0114,0.015,91.0,0.8607,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,1,0.7816,0.7758,0.7841,0.0757,0.4044,66.0,0.0087,0.0121,182.0,0.8898,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,2,0.729,0.7345,0.7298,0.0782,0.4068,37.0,0.0084,0.0111,107.0,0.8467,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,3,0.7873,0.7837,0.7864,0.075,0.4036,73.0,0.0078,0.0101,202.0,0.8629,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,4,0.7605,0.7643,0.763,0.0774,0.4061,52.0,0.0083,0.0107,151.0,0.8707,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,0,0.7526,0.7204,0.7542,0.075,0.4028,38.0,0.0081,0.0097,109.0,0.7971,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,1,0.7219,0.6832,0.7229,0.0761,0.4055,43.0,0.008,0.0116,127.0,0.8135,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,2,0.7377,0.617,0.7398,0.0748,0.402,42.0,0.0105,0.012,123.0,0.806,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,3,0.7172,0.6851,0.7169,0.0756,0.4056,49.0,0.009,0.0109,143.0,0.8153,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,4,0.734,0.6845,0.7346,0.0758,0.4068,46.0,0.0098,0.013,134.0,0.8239,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,0,0.7767,0.7586,0.7789,0.0798,0.4089,70.0,0.0096,0.0111,200.0,0.8231,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,1,0.7594,0.7587,0.7699,0.0817,0.4093,48.0,0.009,0.0108,136.0,0.7974,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,2,0.7698,0.7373,0.771,0.0787,0.4069,53.0,0.0072,0.008,148.0,0.8179,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,3,0.7062,0.6984,0.7075,0.0786,0.4077,35.0,0.0097,0.01,104.0,0.7786,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,4,0.7489,0.6895,0.7507,0.0785,0.4074,39.0,0.0079,0.0094,113.0,0.8171,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,0,0.8883,0.8862,0.8902,0.0088,0.1969,58.0,0.0069,0.0076,1413.0,0.9437,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,1,0.8937,0.8988,0.8952,0.0085,0.1965,40.0,0.0065,0.0072,970.0,0.9291,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,2,0.8954,0.8946,0.8959,0.0084,0.1957,37.0,0.0068,0.0077,897.0,0.9418,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,3,0.9064,0.9049,0.9066,0.0086,0.1963,29.0,0.0067,0.0076,709.0,0.9354,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,4,0.9071,0.9048,0.9076,0.0084,0.1965,51.0,0.0069,0.0078,1232.0,0.9414,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,0,0.8464,0.8551,0.8457,0.0118,0.1985,25.0,0.0098,0.0113,246.0,0.9112,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,1,0.8571,0.8653,0.8579,0.0112,0.1976,39.0,0.01,0.0113,371.0,0.9171,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,2,0.8509,0.8531,0.8513,0.0112,0.1977,37.0,0.0099,0.0112,352.0,0.912,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,3,0.8639,0.8563,0.8654,0.0118,0.1997,28.0,0.0095,0.0107,273.0,0.9139,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,4,0.8433,0.8428,0.8438,0.0122,0.2002,53.0,0.0098,0.0113,500.0,0.9173,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,0,0.7663,0.7656,0.7655,0.0763,0.2651,50.0,0.0091,0.0097,91.0,0.8448,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,1,0.7554,0.7472,0.752,0.0761,0.2647,41.0,0.0109,0.0123,77.0,0.8479,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,2,0.723,0.7261,0.7235,0.0773,0.2656,36.0,0.0116,0.0136,67.0,0.8283,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,3,0.7602,0.7568,0.7624,0.0764,0.2642,53.0,0.0082,0.0102,94.0,0.8581,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,4,0.7623,0.771,0.7621,0.0764,0.2639,65.0,0.0099,0.0111,111.0,0.8337,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,0,0.7316,0.7244,0.7295,0.0724,0.2607,32.0,0.0088,0.0096,63.0,0.812,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,1,0.7132,0.6672,0.7136,0.0761,0.2637,36.0,0.008,0.0089,67.0,0.8174,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,2,0.7001,0.696,0.7023,0.0756,0.2634,36.0,0.0121,0.0138,67.0,0.7918,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,3,0.7179,0.695,0.719,0.0746,0.2633,32.0,0.009,0.0122,62.0,0.7933,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,4,0.7206,0.7021,0.7181,0.0746,0.2629,41.0,0.0126,0.0136,75.0,0.7818,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,0,0.7185,0.7111,0.7191,0.0774,0.2652,49.0,0.0063,0.0078,87.0,0.8187,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,1,0.7199,0.7064,0.7214,0.0798,0.2676,44.0,0.0092,0.0104,80.0,0.8002,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,2,0.6866,0.6577,0.687,0.0788,0.2664,45.0,0.009,0.0107,79.0,0.7868,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,3,0.7292,0.711,0.7285,0.0791,0.2671,37.0,0.0091,0.0104,69.0,0.819,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,4,0.7039,0.6871,0.7043,0.0811,0.2683,42.0,0.0109,0.0118,78.0,0.8133,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,0,0.8833,0.8847,0.8836,0.008,0.167,46.0,0.0068,0.0079,965.0,0.9379,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,1,0.8932,0.8911,0.8937,0.0081,0.1682,41.0,0.0066,0.0077,867.0,0.93,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,2,0.8827,0.8866,0.8835,0.0082,0.1673,33.0,0.0067,0.0079,697.0,0.936,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,3,0.885,0.8788,0.8853,0.0084,0.1673,29.0,0.0067,0.0077,615.0,0.9316,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,4,0.8724,0.8714,0.8728,0.0082,0.1684,63.0,0.0067,0.0079,1324.0,0.9415,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,0,0.8458,0.8391,0.847,0.0112,0.1705,44.0,0.0099,0.0113,380.0,0.9162,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,1,0.7999,0.7982,0.7991,0.0112,0.1693,27.0,0.0099,0.0116,239.0,0.9103,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,2,0.8505,0.8513,0.8504,0.0113,0.1704,51.0,0.0099,0.0114,438.0,0.9176,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,3,0.8209,0.8193,0.8208,0.0112,0.1709,43.0,0.0096,0.0114,375.0,0.9154,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,4,0.8057,0.802,0.8057,0.0117,0.1707,59.0,0.0101,0.0121,506.0,0.918,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,0,0.7129,0.7328,0.715,0.0742,0.235,44.0,0.0072,0.0074,67.0,0.8391,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,1,0.5887,0.525,0.596,0.0756,0.2366,31.0,0.0069,0.0085,51.0,0.7605,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,2,0.7187,0.7171,0.721,0.079,0.2393,47.0,0.0098,0.0109,71.0,0.8105,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,3,0.6671,0.6667,0.6716,0.0737,0.2312,32.0,0.0103,0.0115,51.0,0.812,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,4,0.6836,0.6725,0.6854,0.0737,0.2334,32.0,0.0067,0.009,51.0,0.8156,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,0,0.6816,0.6737,0.6827,0.0737,0.2315,35.0,0.0093,0.0098,55.0,0.7106,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,1,0.6905,0.6715,0.6908,0.0707,0.2303,53.0,0.0072,0.0081,76.0,0.7257,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,2,0.6556,0.644,0.6567,0.074,0.235,33.0,0.0087,0.0114,52.0,0.6889,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,3,0.6966,0.6643,0.6977,0.0732,0.2317,44.0,0.0089,0.0096,67.0,0.7772,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,4,0.6857,0.6515,0.6888,0.0732,0.2314,37.0,0.0081,0.0093,57.0,0.7148,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,0,0.6898,0.6791,0.6921,0.0791,0.2396,41.0,0.0072,0.0088,63.0,0.8005,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,1,0.6598,0.6603,0.6598,0.0781,0.2378,48.0,0.0078,0.0091,72.0,0.7915,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,2,0.6911,0.6993,0.6909,0.0776,0.2372,47.0,0.0121,0.0127,70.0,0.8318,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,3,0.6771,0.6713,0.6788,0.0799,0.24,42.0,0.0086,0.0101,64.0,0.7895,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,4,0.6992,0.6782,0.7004,0.0768,0.2358,48.0,0.0088,0.0093,71.0,0.8069,,,,,,,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240405-165806
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,0,,,,0.0524,0.1203,26.0,0.0023,0.0021,754.0,0.842,,,,0.8402,0.8407,0.8407,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,0,,,,0.0524,0.1203,26,0.0023,0.0021,754,0.842,,,,0.8402,0.8407,0.8407,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,1,,,,0.0545,0.1219,27.0,0.0025,0.0023,731.0,0.8425,,,,0.838,0.8372,0.8377,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,1,,,,0.0545,0.1219,27,0.0025,0.0023,731,0.8425,,,,0.838,0.8372,0.8377,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,2,,,,0.0539,0.1217,33.0,0.0024,0.0022,885.0,0.8512,,,,0.8462,0.8463,0.8463,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,2,,,,0.0539,0.1217,33,0.0024,0.0022,885,0.8512,,,,0.8462,0.8463,0.8463,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,3,,,,0.0536,0.1216,44.0,0.0024,0.0021,1192.0,0.8522,,,,0.8485,0.8505,0.8485,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,3,,,,0.0536,0.1216,44,0.0024,0.0021,1192,0.8522,,,,0.8485,0.8505,0.8485,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,4,,,,0.0533,0.1225,19.0,0.0022,0.0021,522.0,0.825,,,,0.8288,0.8295,0.8288,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,4,,,,0.0533,0.1225,19,0.0022,0.0021,522,0.825,,,,0.8288,0.8295,0.8288,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,0,,,,0.0526,0.12,32.0,0.0032,0.0023,172.0,0.7877,,,,0.7686,0.7631,0.7686,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,0,,,,0.0526,0.12,32,0.0032,0.0023,172,0.7877,,,,0.7686,0.7631,0.7686,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,1,,,,0.0513,0.1191,32.0,0.0033,0.0024,162.0,0.8012,,,,0.778,0.7795,0.7772,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,1,,,,0.0513,0.1191,32,0.0033,0.0024,162,0.8012,,,,0.778,0.7795,0.7772,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,2,,,,0.0516,0.1189,28.0,0.0036,0.003,143.0,0.7758,,,,0.7467,0.7428,0.7467,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,2,,,,0.0516,0.1189,28,0.0036,0.003,143,0.7758,,,,0.7467,0.7428,0.7467,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,3,,,,0.0525,0.121,26.0,0.0054,0.0044,135.0,0.7803,,,,0.7529,0.7529,0.7537,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,3,,,,0.0525,0.121,26,0.0054,0.0044,135,0.7803,,,,0.7529,0.7529,0.7537,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,4,,,,0.0518,0.1193,40.0,0.0033,0.0028,200.0,0.8161,,,,0.7725,0.7725,0.7701,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/single_label/multiclass_CUB_medium,4,,,,0.0518,0.1193,40,0.0033,0.0028,200,0.8161,,,,0.7725,0.7725,0.7701,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,0,,,,0.0743,0.1439,20.0,0.014,0.0182,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,0,,,,0.0743,0.1439,20,0.014,0.0182,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,1,,,,0.0708,0.1453,20.0,0.0171,0.0227,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,1,,,,0.0708,0.1453,20,0.0171,0.0227,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,2,,,,0.0656,0.139,20.0,0.0121,0.0172,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,2,,,,0.0656,0.139,20,0.0121,0.0172,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,3,,,,0.0675,0.1447,20.0,0.0152,0.0174,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,3,,,,0.0675,0.1447,20,0.0152,0.0174,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,4,,,,0.0702,0.1402,20.0,0.0174,0.026,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/1,4,,,,0.0702,0.1402,20,0.0174,0.026,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,0,,,,0.072,0.1424,20.0,0.0166,0.0276,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,0,,,,0.072,0.1424,20,0.0166,0.0276,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,1,,,,0.0664,0.1391,20.0,0.0145,0.0169,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,1,,,,0.0664,0.1391,20,0.0145,0.0169,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,2,,,,0.0562,0.1263,20.0,0.0097,0.0152,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,2,,,,0.0562,0.1263,20,0.0097,0.0152,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,3,,,,0.072,0.1505,20.0,0.0158,0.023,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,3,,,,0.072,0.1505,20,0.0158,0.023,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,4,,,,0.0682,0.1406,20.0,0.0134,0.0173,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/2,4,,,,0.0682,0.1406,20,0.0134,0.0173,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,0,,,,0.0748,0.1502,20.0,0.0111,0.0172,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,0,,,,0.0748,0.1502,20,0.0111,0.0172,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,1,,,,0.0703,0.1427,20.0,0.0176,0.0242,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,1,,,,0.0703,0.1427,20,0.0176,0.0242,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,2,,,,0.0761,0.1554,20.0,0.0246,0.0355,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,2,,,,0.0761,0.1554,20,0.0246,0.0355,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,3,,,,0.0719,0.1453,20.0,0.0171,0.0217,16.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,3,,,,0.0719,0.1453,20,0.0171,0.0217,16,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,4,,,,0.0585,0.1288,20.0,0.0099,0.0171,15.0,1.0,,,,0.9831,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_DeiT-Tiny,small,classification/single_label/multiclass_CUB_small/3,4,,,,0.0585,0.1288,20,0.0099,0.0171,15,1,,,,0.9831,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,0,,,,0.0017,0.1619,22.0,0.0015,0.0024,743.0,0.8815,,,,0.8775,0.8635,0.8773,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,0,,,,0.0017,0.1619,22,0.0015,0.0024,743,0.8815,,,,0.8775,0.8635,0.8773,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,1,,,,0.0017,0.1678,20.0,0.0015,0.0034,694.0,0.8872,,,,0.8798,0.8722,0.8792,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,1,,,,0.0017,0.1678,20,0.0015,0.0034,694,0.8872,,,,0.8798,0.8722,0.8792,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,2,,,,0.0017,0.1627,20.0,0.0014,0.0023,679.0,0.8843,,,,0.8787,0.8682,0.8773,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,2,,,,0.0017,0.1627,20,0.0014,0.0023,679,0.8843,,,,0.8787,0.8682,0.8773,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,3,,,,0.0017,0.1633,23.0,0.0015,0.0033,779.0,0.8825,,,,0.8722,0.8688,0.8718,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,3,,,,0.0017,0.1633,23,0.0015,0.0033,779,0.8825,,,,0.8722,0.8688,0.8718,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,4,,,,0.0017,0.1626,19.0,0.0015,0.0031,648.0,0.885,,,,0.8785,0.8673,0.8775,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,large,classification/single_label/multiclass_food101_large,4,,,,0.0017,0.1626,19,0.0015,0.0031,648,0.885,,,,0.8785,0.8673,0.8775,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,0,,,,0.0092,0.1722,16.0,0.0011,0.0025,119.0,0.8804,,,,0.8413,0.828,0.8413,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,0,,,,0.0092,0.1722,16,0.0011,0.0025,119,0.8804,,,,0.8413,0.828,0.8413,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,1,,,,0.009,0.1722,22.0,0.001,0.0027,159.0,0.87,,,,0.8468,0.828,0.8468,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,1,,,,0.009,0.1722,22,0.001,0.0027,159,0.87,,,,0.8468,0.828,0.8468,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,2,,,,0.0086,0.1696,22.0,0.0008,0.0031,158.0,0.8774,,,,0.8522,0.8342,0.853,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,2,,,,0.0086,0.1696,22,0.0008,0.0031,158,0.8774,,,,0.8522,0.8342,0.853,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,3,,,,0.0087,0.1706,16.0,0.0008,0.0037,118.0,0.8744,,,,0.8452,0.8311,0.8483,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,3,,,,0.0087,0.1706,16,0.0008,0.0037,118,0.8744,,,,0.8452,0.8311,0.8483,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,4,,,,0.0089,0.1693,24.0,0.0011,0.003,170.0,0.8685,,,,0.835,0.8272,0.8366,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,medium,classification/single_label/multiclass_CUB_medium,4,,,,0.0089,0.1693,24,0.0011,0.003,170,0.8685,,,,0.835,0.8272,0.8366,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,0,,,,0.0761,0.2301,20.0,0.0167,0.027,22.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,0,,,,0.0761,0.2301,20,0.0167,0.027,22,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,1,,,,0.0745,0.2391,20.0,0.0202,0.0473,23.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,1,,,,0.0745,0.2391,20,0.0202,0.0473,23,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,2,,,,0.0709,0.2252,20.0,0.0133,0.0246,22.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,2,,,,0.0709,0.2252,20,0.0133,0.0246,22,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,3,,,,0.0741,0.2339,20.0,0.0158,0.0315,23.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,3,,,,0.0741,0.2339,20,0.0158,0.0315,23,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,4,,,,0.0684,0.2396,20.0,0.0138,0.029,24.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/1,4,,,,0.0684,0.2396,20,0.0138,0.029,24,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,0,,,,0.068,0.2174,20.0,0.0176,0.0303,22.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,0,,,,0.068,0.2174,20,0.0176,0.0303,22,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,1,,,,0.0692,0.2291,20.0,0.0153,0.028,23.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,1,,,,0.0692,0.2291,20,0.0153,0.028,23,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,2,,,,0.0754,0.2441,20.0,0.0226,0.0326,24.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,2,,,,0.0754,0.2441,20,0.0226,0.0326,24,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,3,,,,0.0726,0.2376,20.0,0.0148,0.0261,23.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,3,,,,0.0726,0.2376,20,0.0148,0.0261,23,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,4,,,,0.0756,0.2396,20.0,0.0133,0.027,24.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/2,4,,,,0.0756,0.2396,20,0.0133,0.027,24,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,0,,,,0.0773,0.2371,20.0,0.0176,0.0319,23.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,0,,,,0.0773,0.2371,20,0.0176,0.0319,23,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,1,,,,0.0654,0.2225,20.0,0.0134,0.0194,22.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,1,,,,0.0654,0.2225,20,0.0134,0.0194,22,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,2,,,,0.0691,0.2387,20.0,0.0181,0.0263,23.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,2,,,,0.0691,0.2387,20,0.0181,0.0263,23,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,3,,,,0.0781,0.2401,20.0,0.0139,0.0199,23.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,3,,,,0.0781,0.2401,20,0.0139,0.0199,23,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,4,,,,0.0705,0.237,20.0,0.0177,0.02,23.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficientNet-V2-S,small,classification/single_label/multiclass_CUB_small/3,4,,,,0.0705,0.237,20,0.0177,0.02,23,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,0,,,,0.0195,0.1193,30.0,0.0028,0.0024,793.0,0.843,,,,0.833,0.8272,0.8333,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,0,,,,0.0195,0.1193,30,0.0028,0.0024,793,0.843,,,,0.833,0.8272,0.8333,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,1,,,,0.0188,0.1183,31.0,0.0024,0.0022,813.0,0.85,,,,0.839,0.8288,0.8387,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,1,,,,0.0188,0.1183,31,0.0024,0.0022,813,0.85,,,,0.839,0.8288,0.8387,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,2,,,,0.0211,0.1206,43.0,0.0022,0.0022,1137.0,0.8438,,,,0.8448,0.8377,0.8448,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,2,,,,0.0211,0.1206,43,0.0022,0.0022,1137,0.8438,,,,0.8448,0.8377,0.8448,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,3,,,,0.0217,0.1214,32.0,0.0025,0.0025,855.0,0.847,,,,0.8373,0.8263,0.8368,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,3,,,,0.0217,0.1214,32,0.0025,0.0025,855,0.847,,,,0.8373,0.8263,0.8368,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,4,,,,0.0201,0.1199,30.0,0.0025,0.0023,798.0,0.8462,,,,0.8378,0.8278,0.8387,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,large,classification/single_label/multiclass_food101_large,4,,,,0.0201,0.1199,30,0.0025,0.0023,798,0.8462,,,,0.8378,0.8278,0.8387,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,0,,,,0.0223,0.121,26.0,0.003,0.003,133.0,0.8146,,,,0.7842,0.7498,0.7834,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,0,,,,0.0223,0.121,26,0.003,0.003,133,0.8146,,,,0.7842,0.7498,0.7834,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,1,,,,0.0217,0.1199,20.0,0.004,0.0036,104.0,0.8057,,,,0.7803,0.7553,0.7811,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,1,,,,0.0217,0.1199,20,0.004,0.0036,104,0.8057,,,,0.7803,0.7553,0.7811,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,2,,,,0.0219,0.119,24.0,0.0025,0.0026,122.0,0.8027,,,,0.7928,0.7764,0.7944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,2,,,,0.0219,0.119,24,0.0025,0.0026,122,0.8027,,,,0.7928,0.7764,0.7944,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,3,,,,0.0248,0.1235,34.0,0.0043,0.0031,174.0,0.8042,,,,0.7866,0.7725,0.7858,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,3,,,,0.0248,0.1235,34,0.0043,0.0031,174,0.8042,,,,0.7866,0.7725,0.7858,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,4,,,,0.0226,0.1206,16.0,0.0021,0.0021,87.0,0.7534,,,,0.7295,0.7068,0.7287,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,medium,classification/single_label/multiclass_CUB_medium,4,,,,0.0226,0.1206,16,0.0021,0.0021,87,0.7534,,,,0.7295,0.7068,0.7287,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,0,,,,0.0695,0.1612,20.0,0.0168,0.0184,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,0,,,,0.0695,0.1612,20,0.0168,0.0184,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,1,,,,0.0526,0.1501,20.0,0.0109,0.0126,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,1,,,,0.0526,0.1501,20,0.0109,0.0126,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,2,,,,0.0585,0.1576,20.0,0.0112,0.017,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,2,,,,0.0585,0.1576,20,0.0112,0.017,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,3,,,,0.0676,0.1653,20.0,0.0153,0.0213,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,3,,,,0.0676,0.1653,20,0.0153,0.0213,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,4,,,,0.0662,0.1615,20.0,0.0164,0.0234,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/1,4,,,,0.0662,0.1615,20,0.0164,0.0234,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,0,,,,0.0683,0.165,20.0,0.0179,0.0232,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,0,,,,0.0683,0.165,20,0.0179,0.0232,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,1,,,,0.0669,0.1575,20.0,0.0188,0.0255,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,1,,,,0.0669,0.1575,20,0.0188,0.0255,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,2,,,,0.0688,0.1612,20.0,0.0128,0.0181,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,2,,,,0.0688,0.1612,20,0.0128,0.0181,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,3,,,,0.0646,0.1649,20.0,0.0105,0.0186,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,3,,,,0.0646,0.1649,20,0.0105,0.0186,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,4,,,,0.0587,0.1546,20.0,0.0131,0.0168,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/2,4,,,,0.0587,0.1546,20,0.0131,0.0168,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,0,,,,0.0655,0.1607,20.0,0.0131,0.0176,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,0,,,,0.0655,0.1607,20,0.0131,0.0176,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,1,,,,0.062,0.1593,20.0,0.0177,0.0188,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,1,,,,0.062,0.1593,20,0.0177,0.0188,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,2,,,,0.0645,0.1579,20.0,0.014,0.0215,15.0,1.0,,,,0.9831,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,2,,,,0.0645,0.1579,20,0.014,0.0215,15,1,,,,0.9831,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,3,,,,0.0625,0.1555,20.0,0.0124,0.015,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,3,,,,0.0625,0.1555,20,0.0124,0.015,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,4,,,,0.0643,0.1561,20.0,0.0131,0.0184,15.0,1.0,,,,1.0,1.0,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_EfficinetNet-B0,small,classification/single_label/multiclass_CUB_small/3,4,,,,0.0643,0.1561,20,0.0131,0.0184,15,1,,,,1,1,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,0,,,,0.0438,0.1205,33.0,0.0026,0.0023,876.0,0.8272,,,,0.8223,0.7688,0.8217,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,0,,,,0.0438,0.1205,33,0.0026,0.0023,876,0.8272,,,,0.8223,0.7688,0.8217,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,1,,,,0.0447,0.121,15.0,0.0024,0.002,410.0,0.8003,,,,0.794,0.75,0.7955,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,1,,,,0.0447,0.121,15,0.0024,0.002,410,0.8003,,,,0.794,0.75,0.7955,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,2,,,,0.0458,0.1219,30.0,0.0022,0.0021,805.0,0.8365,,,,0.8277,0.7667,0.8295,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,2,,,,0.0458,0.1219,30,0.0022,0.0021,805,0.8365,,,,0.8277,0.7667,0.8295,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,3,,,,0.0445,0.1211,32.0,0.0023,0.0023,854.0,0.8315,,,,0.8238,0.7857,0.824,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,3,,,,0.0445,0.1211,32,0.0023,0.0023,854,0.8315,,,,0.8238,0.7857,0.824,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,4,,,,0.0447,0.1209,36.0,0.0027,0.0024,956.0,0.823,,,,0.8268,0.788,0.8277,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,large,classification/single_label/multiclass_food101_large,4,,,,0.0447,0.1209,36,0.0027,0.0024,956,0.823,,,,0.8268,0.788,0.8277,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,0,,,,0.0426,0.1192,24.0,0.0036,0.0024,123.0,0.7877,,,,0.7576,0.7021,0.7553,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,0,,,,0.0426,0.1192,24,0.0036,0.0024,123,0.7877,,,,0.7576,0.7021,0.7553,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,1,,,,0.0447,0.1202,18.0,0.0037,0.0027,95.0,0.7758,,,,0.7717,0.7217,0.7717,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,1,,,,0.0447,0.1202,18,0.0037,0.0027,95,0.7758,,,,0.7717,0.7217,0.7717,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,2,,,,0.0445,0.1201,22.0,0.0043,0.0035,113.0,0.7922,,,,0.7631,0.6771,0.7615,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,2,,,,0.0445,0.1201,22,0.0043,0.0035,113,0.7922,,,,0.7631,0.6771,0.7615,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,3,,,,0.0445,0.1199,26.0,0.0034,0.0036,132.0,0.7818,,,,0.767,0.6904,0.7678,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,3,,,,0.0445,0.1199,26,0.0034,0.0036,132,0.7818,,,,0.767,0.6904,0.7678,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,4,,,,0.0443,0.1196,24.0,0.0029,0.0023,123.0,0.7848,,,,0.7654,0.6873,0.767,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,medium,classification/single_label/multiclass_CUB_medium,4,,,,0.0443,0.1196,24,0.0029,0.0023,123,0.7848,,,,0.7654,0.6873,0.767,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,0,,,,0.0683,0.1466,25.0,0.0138,0.0152,16.0,1.0,,,,0.9492,0.9322,0.9492,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,0,,,,0.0683,0.1466,25,0.0138,0.0152,16,1,,,,0.9492,0.9322,0.9492,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,1,,,,0.0659,0.1436,25.0,0.0159,0.0228,16.0,1.0,,,,0.9661,0.8983,0.9661,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,1,,,,0.0659,0.1436,25,0.0159,0.0228,16,1,,,,0.9661,0.8983,0.9661,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,2,,,,0.0647,0.1383,25.0,0.0149,0.0195,16.0,1.0,,,,0.9661,0.9322,0.9661,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,2,,,,0.0647,0.1383,25,0.0149,0.0195,16,1,,,,0.9661,0.9322,0.9661,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,3,,,,0.0608,0.139,25.0,0.01,0.0148,16.0,1.0,,,,0.9661,0.9492,0.9661,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,3,,,,0.0608,0.139,25,0.01,0.0148,16,1,,,,0.9661,0.9492,0.9661,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,4,,,,0.0649,0.1408,25.0,0.016,0.0204,16.0,1.0,,,,0.9661,0.9322,0.9661,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/1,4,,,,0.0649,0.1408,25,0.016,0.0204,16,1,,,,0.9661,0.9322,0.9661,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,0,,,,0.0653,0.1376,25.0,0.0131,0.0206,16.0,1.0,,,,1.0,0.9661,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,0,,,,0.0653,0.1376,25,0.0131,0.0206,16,1,,,,1,0.9661,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,1,,,,0.067,0.1448,25.0,0.0138,0.0214,16.0,1.0,,,,1.0,0.9153,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,1,,,,0.067,0.1448,25,0.0138,0.0214,16,1,,,,1,0.9153,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,2,,,,0.0631,0.1409,25.0,0.0176,0.0205,16.0,1.0,,,,1.0,0.9153,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,2,,,,0.0631,0.1409,25,0.0176,0.0205,16,1,,,,1,0.9153,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,3,,,,0.0664,0.143,25.0,0.0145,0.0204,16.0,1.0,,,,1.0,0.8644,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,3,,,,0.0664,0.143,25,0.0145,0.0204,16,1,,,,1,0.8644,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,4,,,,0.0698,0.1458,25.0,0.0155,0.0214,16.0,1.0,,,,0.9831,0.8814,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/2,4,,,,0.0698,0.1458,25,0.0155,0.0214,16,1,,,,0.9831,0.8814,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,0,,,,0.0646,0.1447,25.0,0.0108,0.0187,16.0,1.0,,,,1.0,0.9661,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,0,,,,0.0646,0.1447,25,0.0108,0.0187,16,1,,,,1,0.9661,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,1,,,,0.0642,0.1384,25.0,0.0166,0.0212,15.0,1.0,,,,0.9831,0.9661,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,1,,,,0.0642,0.1384,25,0.0166,0.0212,15,1,,,,0.9831,0.9661,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,2,,,,0.0641,0.1351,25.0,0.0138,0.0228,15.0,1.0,,,,0.9831,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,2,,,,0.0641,0.1351,25,0.0138,0.0228,15,1,,,,0.9831,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,3,,,,0.0557,0.1351,25.0,0.0124,0.0144,15.0,1.0,,,,1.0,0.9661,1.0,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,3,,,,0.0557,0.1351,25,0.0124,0.0144,15,1,,,,1,0.9661,1,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,4,,,,0.0637,0.141,25.0,0.0131,0.0186,16.0,1.0,,,,0.9831,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
+1.5.2,single_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/single_label/multiclass_CUB_small/3,4,,,,0.0637,0.141,25,0.0131,0.0186,16,1,,,,0.9831,0.9831,0.9831,6fefbee0f4d4,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240404-174944
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,0,,,,0.0025,0.1964,22.0,0.0003,0.0022,764.0,0.8613,0.9257,0.3505,0.9208,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,0,,,,0.0025,0.1964,22,0.0003,0.0022,764,0.8613,0.9257,0.3505,0.9208,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,1,,,,0.0025,0.1958,18.0,0.0003,0.0024,603.0,0.8886,0.9403,0.3795,0.9387,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,1,,,,0.0025,0.1958,18,0.0003,0.0024,603,0.8886,0.9403,0.3795,0.9387,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,2,,,,0.0025,0.1972,18.0,0.0003,0.0021,606.0,0.8847,0.941,0.3524,0.9387,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,2,,,,0.0025,0.1972,18,0.0003,0.0021,606,0.8847,0.941,0.3524,0.9387,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,3,,,,0.0025,0.1975,24.0,0.0003,0.002,778.0,0.8824,0.9369,0.354,0.9355,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,3,,,,0.0025,0.1975,24,0.0003,0.002,778,0.8824,0.9369,0.354,0.9355,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,4,,,,0.0027,0.1986,31.0,0.0001,0.0026,906.0,0.8923,0.9351,0.3873,0.9347,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,medium,tiling_instance_seg/vitens_aeromonas_medium,4,,,,0.0027,0.1986,31,0.0001,0.0026,906,0.8923,0.9351,0.3873,0.9347,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,0,,,,0.005,0.195,24.0,0.0006,0.0044,149.0,0.7088,0.8258,0.3948,0.8247,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,0,,,,0.005,0.195,24,0.0006,0.0044,149,0.7088,0.8258,0.3948,0.8247,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,1,,,,0.0048,0.1959,21.0,0.0006,0.0055,134.0,0.7146,0.8287,0.3961,0.8237,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,1,,,,0.0048,0.1959,21,0.0006,0.0055,134,0.7146,0.8287,0.3961,0.8237,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,2,,,,0.0053,0.1948,21.0,0.0006,0.0049,134.0,0.7059,0.8242,0.3262,0.8166,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,2,,,,0.0053,0.1948,21,0.0006,0.0049,134,0.7059,0.8242,0.3262,0.8166,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,3,,,,0.0053,0.1934,27.0,0.0005,0.0034,163.0,0.7036,0.8202,0.2961,0.8212,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,3,,,,0.0053,0.1934,27,0.0005,0.0034,163,0.7036,0.8202,0.2961,0.8212,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,4,,,,0.0052,0.1944,30.0,0.0006,0.005,177.0,0.7179,0.8329,0.3243,0.832,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/1,4,,,,0.0052,0.1944,30,0.0006,0.005,177,0.7179,0.8329,0.3243,0.832,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,0,,,,0.0054,0.211,21.0,0.0006,0.0035,144.0,0.8361,0.913,0.319,0.9087,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,0,,,,0.0054,0.211,21,0.0006,0.0035,144,0.8361,0.913,0.319,0.9087,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,1,,,,0.0052,0.2105,30.0,0.0005,0.0045,190.0,0.813,0.9204,0.3052,0.9202,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,1,,,,0.0052,0.2105,30,0.0005,0.0045,190,0.813,0.9204,0.3052,0.9202,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,2,,,,0.0051,0.208,33.0,0.0004,0.005,210.0,0.839,0.9191,0.3172,0.9155,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,2,,,,0.0051,0.208,33,0.0004,0.005,210,0.839,0.9191,0.3172,0.9155,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,3,,,,0.0054,0.211,30.0,0.0006,0.0039,190.0,0.8389,0.9222,0.2867,0.9164,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,3,,,,0.0054,0.211,30,0.0006,0.0039,190,0.8389,0.9222,0.2867,0.9164,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,4,,,,0.0054,0.2123,33.0,0.0006,0.0067,199.0,0.8567,0.9288,0.3077,0.9256,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/2,4,,,,0.0054,0.2123,33,0.0006,0.0067,199,0.8567,0.9288,0.3077,0.9256,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,0,,,,0.0053,0.2008,21.0,0.0006,0.0052,138.0,0.9342,0.9241,0.2767,0.9202,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,0,,,,0.0053,0.2008,21,0.0006,0.0052,138,0.9342,0.9241,0.2767,0.9202,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,1,,,,0.0052,0.1986,21.0,0.0005,0.0045,137.0,0.9244,0.902,0.3521,0.8969,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,1,,,,0.0052,0.1986,21,0.0005,0.0045,137,0.9244,0.902,0.3521,0.8969,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,2,,,,0.0053,0.2026,33.0,0.0006,0.0031,198.0,0.9363,0.9143,0.2731,0.9125,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,2,,,,0.0053,0.2026,33,0.0006,0.0031,198,0.9363,0.9143,0.2731,0.9125,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,3,,,,0.0054,0.1991,36.0,0.0005,0.0036,211.0,0.9298,0.9102,0.3157,0.9085,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,3,,,,0.0054,0.1991,36,0.0005,0.0036,211,0.9298,0.9102,0.3157,0.9085,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,4,,,,0.0053,0.1995,21.0,0.0006,0.0049,137.0,0.9301,0.9081,0.2945,0.9077,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_EfficientNetB2B,small,tiling_instance_seg/vitens_aeromonas_small/3,4,,,,0.0053,0.1995,21,0.0006,0.0049,137,0.9301,0.9081,0.2945,0.9077,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,0,,,,0.0025,0.1782,20.0,0.0003,0.0013,727.0,0.8646,0.9323,0.3569,0.9305,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,0,,,,0.0025,0.1782,20,0.0003,0.0013,727,0.8646,0.9323,0.3569,0.9305,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,1,,,,0.0026,0.1799,21.0,0.0003,0.002,716.0,0.8752,0.9289,0.3848,0.9297,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,1,,,,0.0026,0.1799,21,0.0003,0.002,716,0.8752,0.9289,0.3848,0.9297,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,2,,,,0.0025,0.1824,23.0,0.0003,0.0015,787.0,0.8675,0.9287,0.3842,0.9285,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,2,,,,0.0025,0.1824,23,0.0003,0.0015,787,0.8675,0.9287,0.3842,0.9285,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,3,,,,0.0025,0.1807,22.0,0.0003,0.0014,748.0,0.8705,0.9291,0.3865,0.9234,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,3,,,,0.0025,0.1807,22,0.0003,0.0014,748,0.8705,0.9291,0.3865,0.9234,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,4,,,,0.0028,0.1825,18.0,0.0001,0.0012,591.0,0.8699,0.9306,0.334,0.928,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,medium,tiling_instance_seg/vitens_aeromonas_medium,4,,,,0.0028,0.1825,18,0.0001,0.0012,591,0.8699,0.9306,0.334,0.928,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,0,,,,0.0052,0.1658,30.0,0.0004,0.0044,178.0,0.6809,0.7681,0.2674,0.8004,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,0,,,,0.0052,0.1658,30,0.0004,0.0044,178,0.6809,0.7681,0.2674,0.8004,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,1,,,,0.0051,0.1669,30.0,0.0006,0.0038,180.0,0.7064,0.822,0.3077,0.813,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,1,,,,0.0051,0.1669,30,0.0006,0.0038,180,0.7064,0.822,0.3077,0.813,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,2,,,,0.0053,0.1647,27.0,0.0004,0.0019,163.0,0.7039,0.821,0.2599,0.807,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,2,,,,0.0053,0.1647,27,0.0004,0.0019,163,0.7039,0.821,0.2599,0.807,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,3,,,,0.0053,0.1656,30.0,0.0006,0.003,180.0,0.6824,0.2305,0.3117,0.8158,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,3,,,,0.0053,0.1656,30,0.0006,0.003,180,0.6824,0.2305,0.3117,0.8158,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,4,,,,0.0052,0.1669,42.0,0.0006,0.0028,237.0,0.6767,0.8173,0.2591,0.8052,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/1,4,,,,0.0052,0.1669,42,0.0006,0.0028,237,0.6767,0.8173,0.2591,0.8052,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,0,,,,0.0054,0.2003,27.0,0.0006,0.0041,187.0,0.841,0.9251,0.2516,0.9216,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,0,,,,0.0054,0.2003,27,0.0006,0.0041,187,0.841,0.9251,0.2516,0.9216,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,1,,,,0.0052,0.2005,33.0,0.0005,0.0047,218.0,0.8517,0.925,0.2443,0.9235,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,1,,,,0.0052,0.2005,33,0.0005,0.0047,218,0.8517,0.925,0.2443,0.9235,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,2,,,,0.0052,0.1964,21.0,0.0005,0.0037,155.0,0.8385,0.9221,0.2378,0.9225,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,2,,,,0.0052,0.1964,21,0.0005,0.0037,155,0.8385,0.9221,0.2378,0.9225,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,3,,,,0.0054,0.196,27.0,0.0005,0.0031,185.0,0.8523,0.9298,0.2595,0.9275,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,3,,,,0.0054,0.196,27,0.0005,0.0031,185,0.8523,0.9298,0.2595,0.9275,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,4,,,,0.0053,0.2016,30.0,0.0005,0.0042,197.0,0.8522,0.9221,0.2363,0.9253,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/2,4,,,,0.0053,0.2016,30,0.0005,0.0042,197,0.8522,0.9221,0.2363,0.9253,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,0,,,,0.0052,0.189,27.0,0.0005,0.0054,177.0,0.9167,0.9046,0.256,0.9005,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,0,,,,0.0052,0.189,27,0.0005,0.0054,177,0.9167,0.9046,0.256,0.9005,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,1,,,,0.005,0.1876,27.0,0.0005,0.0045,176.0,0.919,0.9067,0.2688,0.9054,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,1,,,,0.005,0.1876,27,0.0005,0.0045,176,0.919,0.9067,0.2688,0.9054,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,2,,,,0.0052,0.1911,33.0,0.0006,0.0047,210.0,0.8991,0.9048,0.2563,0.898,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,2,,,,0.0052,0.1911,33,0.0006,0.0047,210,0.8991,0.9048,0.2563,0.898,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,3,,,,0.0052,0.1915,27.0,0.0004,0.0032,178.0,0.9099,0.8939,0.2174,0.8917,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,3,,,,0.0052,0.1915,27,0.0004,0.0032,178,0.9099,0.8939,0.2174,0.8917,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,4,,,,0.0051,0.1928,27.0,0.0006,0.0029,178.0,0.9047,0.9066,0.2855,0.9024,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_ResNet50,small,tiling_instance_seg/vitens_aeromonas_small/3,4,,,,0.0051,0.1928,27,0.0006,0.0029,178,0.9047,0.9066,0.2855,0.9024,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,0,,,,0.0025,0.1856,19.0,0.0002,0.0018,748.0,0.8598,0.4517,0.3405,0.9326,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,0,,,,0.0025,0.1856,19,0.0002,0.0018,748,0.8598,0.4517,0.3405,0.9326,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,1,,,,0.0025,0.1857,26.0,0.0003,0.0015,916.0,0.8769,0.9368,0.3455,0.9314,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,1,,,,0.0025,0.1857,26,0.0003,0.0015,916,0.8769,0.9368,0.3455,0.9314,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,2,,,,0.0025,0.1878,19.0,0.0003,0.0016,707.0,0.8704,0.9326,0.3212,0.9272,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,2,,,,0.0025,0.1878,19,0.0003,0.0016,707,0.8704,0.9326,0.3212,0.9272,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,3,,,,0.0025,0.1858,19.0,0.0003,0.0016,708.0,0.8662,0.9322,0.3171,0.9243,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,3,,,,0.0025,0.1858,19,0.0003,0.0016,708,0.8662,0.9322,0.3171,0.9243,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,4,,,,0.0027,0.1899,22.0,0.0001,0.0016,754.0,0.8827,0.9357,0.3114,0.9316,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,medium,tiling_instance_seg/vitens_aeromonas_medium,4,,,,0.0027,0.1899,22,0.0001,0.0016,754,0.8827,0.9357,0.3114,0.9316,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,0,,,,0.0048,0.1765,24.0,0.0004,0.0029,162.0,0.6923,0.6044,0.3436,0.79,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,0,,,,0.0048,0.1765,24,0.0004,0.0029,162,0.6923,0.6044,0.3436,0.79,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,1,,,,0.0047,0.179,27.0,0.0004,0.0024,178.0,0.7085,0.8086,0.3311,0.8008,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,1,,,,0.0047,0.179,27,0.0004,0.0024,178,0.7085,0.8086,0.3311,0.8008,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,2,,,,0.0048,0.1798,33.0,0.0004,0.0031,210.0,0.7078,0.4237,0.3215,0.8084,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,2,,,,0.0048,0.1798,33,0.0004,0.0031,210,0.7078,0.4237,0.3215,0.8084,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,3,,,,0.0051,0.1798,27.0,0.0004,0.0029,180.0,0.7095,0.4148,0.3177,0.8006,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,3,,,,0.0051,0.1798,27,0.0004,0.0029,180,0.7095,0.4148,0.3177,0.8006,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,4,,,,0.005,0.1788,27.0,0.0005,0.0035,179.0,0.6998,0.8214,0.3143,0.7974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/1,4,,,,0.005,0.1788,27,0.0005,0.0035,179,0.6998,0.8214,0.3143,0.7974,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,0,,,,0.005,0.2092,36.0,0.0005,0.0055,251.0,0.8542,0.9249,0.2723,0.9198,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,0,,,,0.005,0.2092,36,0.0005,0.0055,251,0.8542,0.9249,0.2723,0.9198,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,1,,,,0.0052,0.2043,33.0,0.0005,0.0041,231.0,0.8365,0.9287,0.2531,0.9265,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,1,,,,0.0052,0.2043,33,0.0005,0.0041,231,0.8365,0.9287,0.2531,0.9265,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,2,,,,0.0051,0.2025,30.0,0.0004,0.0026,222.0,0.8378,0.9276,0.2657,0.9184,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,2,,,,0.0051,0.2025,30,0.0004,0.0026,222,0.8378,0.9276,0.2657,0.9184,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,3,,,,0.0052,0.2013,33.0,0.0005,0.0024,230.0,0.8505,0.9272,0.2817,0.9201,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,3,,,,0.0052,0.2013,33,0.0005,0.0024,230,0.8505,0.9272,0.2817,0.9201,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,4,,,,0.0054,0.2063,30.0,0.0006,0.003,212.0,0.835,0.9165,0.2632,0.8687,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/2,4,,,,0.0054,0.2063,30,0.0006,0.003,212,0.835,0.9165,0.2632,0.8687,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,0,,,,0.0053,0.1935,21.0,0.0005,0.0036,157.0,0.8667,0.868,0.2337,0.8259,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,0,,,,0.0053,0.1935,21,0.0005,0.0036,157,0.8667,0.868,0.2337,0.8259,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,1,,,,0.0051,0.1913,21.0,0.0005,0.0026,156.0,0.8953,0.8626,0.2327,0.8416,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,1,,,,0.0051,0.1913,21,0.0005,0.0026,156,0.8953,0.8626,0.2327,0.8416,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,2,,,,0.005,0.1925,21.0,0.0006,0.0032,157.0,0.8815,0.8809,0.2409,0.8628,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,2,,,,0.005,0.1925,21,0.0006,0.0032,157,0.8815,0.8809,0.2409,0.8628,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,3,,,,0.0052,0.1918,24.0,0.0005,0.0033,172.0,0.9052,0.8896,0.2552,0.872,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,3,,,,0.0052,0.1918,24,0.0005,0.0033,172,0.9052,0.8896,0.2552,0.872,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
-1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,4,,,,0.0051,0.192,30.0,0.0005,0.0032,203.0,0.9107,0.8946,0.2327,0.8846,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
+1.5.2,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,4,,,,0.0051,0.192,30,0.0005,0.0032,203,0.9107,0.8946,0.2327,0.8846,,,,9784b1a8c02f,d6e681b,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",1.5.2,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,goodsong81,20240408-104158
diff --git a/tests/perf/history/v1.6.0/perf-benchmark-raw-all.csv b/tests/perf/history/v1.6.0/perf-benchmark-raw-all.csv
index 09067d08c14..e34b7f67920 100644
--- a/tests/perf/history/v1.6.0/perf-benchmark-raw-all.csv
+++ b/tests/perf/history/v1.6.0/perf-benchmark-raw-all.csv
@@ -109,36 +109,6 @@ GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)"
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_classification,ote_anomaly_classification_padim,medium,anomaly/mvtec/wood_medium,4,,18.0,0.0,,,0.0081,0.0419,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,0,,19.0,0.0,,,0.0113,0.0484,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,1,,16.0,0.0,,,0.0081,0.0418,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,2,,16.0,0.0,,,0.0106,0.0485,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,3,,15.0,0.0,,,0.0082,0.042,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/1,4,,15.0,0.0,,,0.0081,0.0416,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,0,,19.0,0.0,,,0.0096,0.0437,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,1,,15.0,0.0,,,0.0105,0.0474,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,2,,15.0,0.0,,,0.0079,0.0416,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,3,,16.0,0.0,,,0.0099,0.044,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/2,4,,16.0,0.0,,,0.0078,0.0416,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,0,,19.0,0.0,,,0.0125,0.0501,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,1,,15.0,0.0,,,0.0082,0.042,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,2,,16.0,0.0,,,0.0081,0.0418,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,3,,15.0,0.0,,,0.0082,0.0419,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_padim,small,anomaly/mvtec/bottle_small/3,4,,15.0,0.0,,,0.0078,0.0416,,,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,0,,82.0,0.0,,,0.0464,0.0881,,,11.0,0.0012,0.0012,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,large,anomaly/mvtec/hazelnut_large,1,,82.0,0.0,,,0.0468,0.0886,,,11.0,0.0017,0.0018,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
@@ -159,36 +129,6 @@ GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)"
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,medium,anomaly/mvtec/wood_medium,4,,74.0,0.0,,,0.06,0.1019,,,11.0,0.0018,0.0018,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,0,,47.0,0.0,,,0.0187,0.0606,,,11.0,0.0039,0.0038,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,1,,47.0,0.0,,,0.019,0.0604,,,11.0,0.0047,0.0046,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,2,,47.0,0.0,,,0.0173,0.0591,,,11.0,0.0049,0.0051,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,3,,47.0,0.0,,,0.0199,0.0611,,,11.0,0.0031,0.0032,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/1,4,,47.0,0.0,,,0.0169,0.0585,,,11.0,0.0014,0.0017,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,0,,47.0,0.0,,,0.0192,0.061,,,11.0,0.0052,0.0055,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,1,,47.0,0.0,,,0.0192,0.061,,,11.0,0.0028,0.003,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,2,,47.0,0.0,,,0.0167,0.058,,,11.0,0.0043,0.0046,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,3,,47.0,0.0,,,0.0185,0.0604,,,11.0,0.0042,0.0036,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/2,4,,47.0,0.0,,,0.0195,0.0613,,,11.0,0.0041,0.0043,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,0,,46.0,0.0,,,0.0188,0.0609,,,11.0,0.0048,0.0046,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,1,,46.0,0.0,,,0.0197,0.0611,,,11.0,0.0035,0.0035,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,2,,47.0,0.0,,,0.0174,0.059,,,11.0,0.0038,0.0044,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,3,,46.0,0.0,,,0.0204,0.0623,,,11.0,0.0033,0.0029,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_classification,ote_anomaly_classification_stfpm,small,anomaly/mvtec/bottle_small/3,4,,46.0,0.0,,,0.017,0.0586,,,11.0,0.0033,0.0032,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,0,,20.0,0.0,,,0.0111,0.0617,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9991,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_detection,ote_anomaly_detection_padim,large,anomaly/mvtec/hazelnut_large,1,,19.0,0.0,,,0.0101,0.0598,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9991,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
@@ -209,36 +149,6 @@ GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)"
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_detection,ote_anomaly_detection_padim,medium,anomaly/mvtec/wood_medium,4,,18.0,0.0,,,0.0095,0.0461,,,1.0,0.0,0.0,,,,,,,0.7018,0.7018,0.9987,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,0,,15.0,0.0,,,0.0083,0.0419,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,1,,15.0,0.0,,,0.0079,0.0412,,,1.0,0.0,0.0,,,,,,,0.9341,0.9315,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,2,,15.0,0.0,,,0.0079,0.0415,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,3,,15.0,0.0,,,0.0084,0.0422,,,1.0,0.0,0.0,,,,,,,0.9341,0.9315,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/1,4,,15.0,0.0,,,0.0079,0.0415,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,0,,15.0,0.0,,,0.0084,0.0416,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,1,,15.0,0.0,,,0.0079,0.0413,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,2,,15.0,0.0,,,0.0084,0.042,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,3,,15.0,0.0,,,0.0102,0.0463,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/2,4,,15.0,0.0,,,0.0114,0.0467,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,0,,15.0,0.0,,,0.0081,0.0417,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,1,,15.0,0.0,,,0.0102,0.0474,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,2,,15.0,0.0,,,0.0076,0.0412,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,3,,15.0,0.0,,,0.0081,0.0416,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_padim,small,anomaly/mvtec/bottle_small/3,4,,15.0,0.0,,,0.008,0.0414,,,1.0,0.0,0.0,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,0,,78.0,0.0,,,0.0469,0.0889,,,11.0,0.0011,0.0011,,,,,,,1.0,1.0,0.9991,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,large,anomaly/mvtec/hazelnut_large,1,,77.0,0.0,,,0.0473,0.089,,,11.0,0.0014,0.0013,,,,,,,1.0,1.0,0.9982,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
@@ -259,36 +169,6 @@ GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)"
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,medium,anomaly/mvtec/wood_medium,4,,71.0,0.0,,,0.0606,0.1026,,,11.0,0.0024,0.0022,,,,,,,0.8904,0.8773,0.9974,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,0,,43.0,0.0,,,0.0184,0.06,,,11.0,0.0044,0.0049,,,,,,,0.9884,0.9884,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,1,,43.0,0.0,,,0.0192,0.0609,,,11.0,0.0031,0.003,,,,,,,1.0,1.0,0.9941,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,2,,43.0,0.0,,,0.0175,0.0588,,,11.0,0.0042,0.0044,,,,,,,0.9341,0.9341,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,3,,43.0,0.0,,,0.0208,0.0627,,,11.0,0.01,0.0101,,,,,,,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/1,4,,43.0,0.0,,,0.0231,0.0647,,,11.0,0.005,0.0051,,,,,,,0.9881,0.9881,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,0,,43.0,0.0,,,0.0199,0.0617,,,11.0,0.0038,0.0037,,,,,,,0.9341,0.9341,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,1,,43.0,0.0,,,0.0209,0.0622,,,11.0,0.0048,0.0048,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,2,,43.0,0.0,,,0.019,0.0607,,,11.0,0.0031,0.0035,,,,,,,0.9913,0.9884,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,3,,43.0,0.0,,,0.0197,0.0608,,,11.0,0.004,0.0039,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/2,4,,43.0,0.0,,,0.0192,0.061,,,11.0,0.0041,0.0042,,,,,,,1.0,1.0,0.9941,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,0,,43.0,0.0,,,0.0214,0.0634,,,11.0,0.0052,0.005,,,,,,,0.9341,0.9341,0.9941,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,1,,43.0,0.0,,,0.0182,0.0598,,,11.0,0.0042,0.0044,,,,,,,0.9855,0.9855,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,2,,43.0,0.0,,,0.0199,0.0616,,,11.0,0.0045,0.0047,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,3,,43.0,0.0,,,0.0181,0.0598,,,11.0,0.0022,0.0023,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_detection,ote_anomaly_detection_stfpm,small,anomaly/mvtec/bottle_small/3,4,,43.0,0.0,,,0.0191,0.0611,,,11.0,0.0031,0.0033,,,,,,,0.9851,0.9911,0.9941,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,0,,21.0,0.0,,,0.0152,0.069,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9991,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,large,anomaly/mvtec/hazelnut_large,1,,21.0,0.0,,,0.0192,0.0726,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9991,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
@@ -309,36 +189,6 @@ GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)"
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,medium,anomaly/mvtec/wood_medium,4,,19.0,0.0,,,0.0386,0.0745,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9987,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,0,,16.0,0.0,,,0.0099,0.0434,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,1,,16.0,0.0,,,0.0122,0.0466,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,2,,16.0,0.0,,,0.0094,0.0431,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,3,,16.0,0.0,,,0.0122,0.0495,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/1,4,,16.0,0.0,,,0.0093,0.0427,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,0,,16.0,0.0,,,0.0097,0.043,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,1,,16.0,0.0,,,0.0093,0.0426,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,2,,16.0,0.0,,,0.0098,0.0432,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,3,,16.0,0.0,,,0.0115,0.0451,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/2,4,,16.0,0.0,,,0.012,0.0464,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,0,,16.0,0.0,,,0.0093,0.0423,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,1,,16.0,0.0,,,0.0093,0.0429,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,2,,16.0,0.0,,,0.0098,0.0433,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,3,,16.0,0.0,,,0.0126,0.0498,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_padim,small,anomaly/mvtec/bottle_small/3,4,,16.0,0.0,,,0.0112,0.0453,,,1.0,0.0,0.0,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,0,,100.0,0.0,,,0.1116,0.1541,,,11.0,0.0013,0.0015,,,,,,,1.0,1.0,0.9991,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,large,anomaly/mvtec/hazelnut_large,1,,100.0,0.0,,,0.1113,0.1539,,,11.0,0.0009,0.0009,,,,,,,1.0,1.0,0.9991,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
@@ -359,386 +209,6 @@ GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)"
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,medium,anomaly/mvtec/wood_medium,4,,92.0,0.0,,,0.1509,0.1933,,,11.0,0.0017,0.0017,,,,,,,1.0,1.0,0.9987,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,0,,50.0,0.0,,,0.0531,0.0952,,,11.0,0.0044,0.0043,,,,,,,1.0,1.0,1.0,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,1,,50.0,0.0,,,0.0571,0.0992,,,11.0,0.0064,0.0065,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,2,,50.0,0.0,,,0.0532,0.0952,,,11.0,0.0044,0.0046,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,3,,50.0,0.0,,,0.0548,0.097,,,11.0,0.0043,0.0041,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/1,4,,50.0,0.0,,,0.0547,0.0966,,,11.0,0.0052,0.0051,,,,,,,0.9971,0.9971,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,0,,50.0,0.0,,,0.0542,0.0958,,,11.0,0.0066,0.0067,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,1,,50.0,0.0,,,0.0553,0.0977,,,11.0,0.004,0.0042,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,2,,50.0,0.0,,,0.0553,0.0974,,,11.0,0.0032,0.0028,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,3,,50.0,0.0,,,0.0564,0.0981,,,11.0,0.0038,0.0039,,,,,,,1.0,0.9971,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/2,4,,50.0,0.0,,,0.0553,0.0971,,,11.0,0.005,0.005,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,0,,50.0,0.0,,,0.0561,0.0983,,,11.0,0.0075,0.0076,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,1,,50.0,0.0,,,0.055,0.097,,,11.0,0.0058,0.0056,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,2,,50.0,0.0,,,0.0549,0.0971,,,11.0,0.0049,0.0054,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,3,,50.0,0.0,,,0.0522,0.0939,,,11.0,0.0039,0.004,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,anomaly_segmentation,ote_anomaly_segmentation_stfpm,small,anomaly/mvtec/bottle_small/3,4,,50.0,0.0,,,0.0527,0.0948,,,11.0,0.0036,0.004,,,,,,,1.0,1.0,0.9971,,,,20240406-203153,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,0,,348.0,0.775,,,0.0163,0.2087,0.0244,0.0192,28.0,0.0009,0.0016,0.866,0.8636,0.8295,0.7345,0.7379,0.7612,0.7948,0.7958,0.7939,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,1,,440.0,0.7935,,,0.017,0.2106,0.0239,0.0189,36.0,0.0008,0.0017,0.8625,0.8638,0.862,0.747,0.7324,0.7493,0.8006,0.7927,0.8017,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,2,,507.0,0.7977,,,0.017,0.2111,0.0237,0.0189,42.0,0.0007,0.002,0.8596,0.8704,0.8613,0.7833,0.7789,0.7846,0.8197,0.8221,0.8211,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,3,,464.0,0.7783,,,0.0169,0.2101,0.024,0.0189,38.0,0.0007,0.002,0.8472,0.8536,0.8712,0.7555,0.7534,0.7392,0.7987,0.8004,0.7998,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,large,detection/vitens_large,4,,392.0,0.7807,,,0.0173,0.2096,0.0237,0.0189,32.0,0.0009,0.0018,0.8727,0.8534,0.8748,0.7386,0.7584,0.7399,0.8001,0.8031,0.8017,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,0,,261.0,0.7339,,,0.0198,0.2162,0.0237,0.0149,30.0,0.0011,0.0024,0.7823,0.784,0.776,0.634,0.6405,0.634,0.7004,0.705,0.6978,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,1,,350.0,0.7607,,,0.0187,0.2141,0.0231,0.0143,42.0,0.0008,0.003,0.8175,0.7724,0.811,0.6732,0.732,0.6732,0.7384,0.7517,0.7357,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,2,,369.0,0.7472,,,0.0189,0.2143,0.0217,0.0167,44.0,0.0008,0.0024,0.7355,0.7342,0.7639,0.7451,0.7582,0.719,0.7403,0.746,0.7407,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,3,,241.0,0.7308,,,0.0188,0.2137,0.0233,0.0155,28.0,0.001,0.0025,0.7664,0.7647,0.7609,0.6863,0.6797,0.6863,0.7241,0.7197,0.7216,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,medium,detection/pothole_medium,4,,242.0,0.7233,,,0.0187,0.2138,0.0237,0.0168,28.0,0.0009,0.0018,0.8,0.7883,0.8,0.7059,0.7059,0.7059,0.75,0.7448,0.75,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,0,,63.0,0.7692,,,0.0778,0.2713,0.0204,0.0178,50.0,0.0077,0.0102,0.6848,0.7284,0.6882,0.4118,0.3856,0.4183,0.5143,0.5043,0.5203,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,1,,48.0,0.7586,,,0.0789,0.2702,0.0217,0.0155,35.0,0.0081,0.0093,0.6509,0.625,0.6604,0.451,0.4575,0.4575,0.5328,0.5283,0.5405,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,2,,58.0,0.6667,,,0.0785,0.2697,0.0207,0.0172,45.0,0.0072,0.0087,0.7614,0.7473,0.764,0.4379,0.4444,0.4444,0.556,0.5574,0.562,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,3,,58.0,0.75,,,0.0783,0.2701,0.021,0.0145,45.0,0.0076,0.0096,0.7087,0.6757,0.6759,0.4771,0.4902,0.4771,0.5703,0.5682,0.5594,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/1,4,,53.0,0.75,,,0.0796,0.2712,0.0212,0.0174,40.0,0.0074,0.0096,0.6731,0.5852,0.5865,0.4575,0.5163,0.5098,0.5447,0.5486,0.5455,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,0,,,,,,0.0765,0.2681,,,30.0,0.009,0.0111,,,,,,,,,,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,1,,43.0,0.6061,,,0.0786,0.267,0.02,0.0156,30.0,0.0086,0.011,0.699,0.7075,0.6893,0.4706,0.4902,0.4641,0.5625,0.5792,0.5547,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,2,,38.0,0.6667,,,0.0787,0.2682,0.0214,0.0164,25.0,0.0079,0.0121,0.5692,0.5496,0.5736,0.4837,0.4706,0.4837,0.523,0.507,0.5248,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,3,,53.0,0.55,,,0.0809,0.2704,0.0212,0.018,40.0,0.0069,0.0092,0.515,0.625,0.546,0.6732,0.5882,0.6209,0.5836,0.6061,0.581,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/2,4,,68.0,0.5957,,,0.079,0.2726,0.0223,0.0171,55.0,0.0074,0.0135,0.7182,0.7069,0.7182,0.5163,0.5359,0.5163,0.6008,0.6097,0.6008,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,0,,58.0,0.5385,,,0.0803,0.2736,0.0191,0.0156,45.0,0.0078,0.012,0.6355,0.625,0.6321,0.4444,0.4248,0.4379,0.5231,0.5058,0.5174,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,1,,58.0,0.6207,,,0.0785,0.2706,0.0206,0.0168,45.0,0.0075,0.0102,0.6535,0.5814,0.5125,0.4314,0.4902,0.5359,0.5197,0.5319,0.524,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,2,,63.0,0.6154,,,0.0813,0.2735,0.0221,0.0149,50.0,0.0078,0.0097,0.7576,0.7538,0.7576,0.3268,0.3203,0.3268,0.4566,0.4495,0.4566,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,3,,88.0,0.6667,,,0.0809,0.272,0.0214,0.0163,75.0,0.0082,0.0099,0.6204,0.64,0.625,0.5556,0.5229,0.5556,0.5862,0.5755,0.5882,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_ATSS,small,detection/pothole_small/3,4,,73.0,0.6667,,,0.081,0.2724,0.0219,0.0161,60.0,0.0094,0.0131,0.7391,0.6577,0.7473,0.4444,0.4771,0.4444,0.5551,0.553,0.5574,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,0,,469.0,0.6815,,,0.0188,0.1583,0.0183,0.014,48.0,0.0008,0.0015,0.7056,0.7448,0.7338,0.6792,0.6294,0.6595,0.6921,0.6822,0.6946,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,1,,500.0,0.6773,,,0.0188,0.1586,0.0187,0.0138,52.0,0.0008,0.0016,0.7618,0.7616,0.738,0.6208,0.6154,0.6374,0.6841,0.6807,0.684,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,2,,669.0,0.6945,,,0.0191,0.1591,0.0186,0.0138,70.0,0.0008,0.0018,0.7672,0.7776,0.7683,0.6875,0.6761,0.6883,0.7252,0.7233,0.7261,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,3,,660.0,0.701,,,0.019,0.1586,0.0183,0.0141,68.0,0.0009,0.0018,0.7631,0.7785,0.7633,0.6613,0.6468,0.6621,0.7086,0.7065,0.7091,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,large,detection/vitens_large,4,,588.0,0.6813,,,0.0189,0.1588,0.0186,0.0138,62.0,0.0007,0.0016,0.737,0.7255,0.7637,0.6714,0.6743,0.6517,0.7027,0.699,0.7033,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,0,,396.0,0.6856,,,0.0189,0.1579,0.0172,0.0096,62.0,0.001,0.0025,0.7647,0.7778,0.7647,0.5098,0.5033,0.5098,0.6118,0.6111,0.6118,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,1,,441.0,0.6856,,,0.019,0.1577,0.0163,0.009,70.0,0.0011,0.0025,0.7458,0.7658,0.7458,0.5752,0.5556,0.5752,0.6494,0.6439,0.6494,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,2,,274.0,0.6392,,,0.0191,0.1579,0.0171,0.0102,42.0,0.001,0.0024,0.729,0.7156,0.729,0.5098,0.5098,0.5098,0.6,0.5954,0.6,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,3,,303.0,0.6667,,,0.0217,0.1649,0.0166,0.0117,44.0,0.0037,0.0038,0.7217,0.7547,0.6911,0.5425,0.5229,0.5556,0.6194,0.6178,0.6159,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,medium,detection/pothole_medium,4,,360.0,0.6721,,,0.0203,0.1621,0.0159,0.0108,54.0,0.0012,0.0023,0.7071,0.7174,0.7071,0.6471,0.6471,0.6471,0.6758,0.6804,0.6758,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,0,,66.0,0.6429,,,0.0857,0.2203,0.0171,0.0098,65.0,0.0077,0.0093,0.6118,0.567,0.6118,0.3399,0.3595,0.3399,0.437,0.44,0.437,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,1,,37.0,0.5455,,,0.0844,0.2195,0.016,0.0097,30.0,0.0059,0.0082,0.567,0.5437,0.567,0.3595,0.366,0.3595,0.44,0.4375,0.44,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,2,,45.0,0.5333,,,0.0833,0.2172,0.0149,0.0104,40.0,0.0057,0.0078,0.4258,0.4874,0.4604,0.4314,0.3791,0.4183,0.4286,0.4265,0.4384,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,3,,73.0,0.72,,,0.082,0.2148,0.0165,0.0097,75.0,0.0059,0.01,0.5545,0.5909,0.5545,0.366,0.3399,0.366,0.4409,0.4315,0.4409,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/1,4,,45.0,0.5455,,,0.0849,0.2191,0.0163,0.0108,40.0,0.0064,0.0076,0.6494,0.6667,0.641,0.3268,0.3137,0.3268,0.4348,0.4267,0.4329,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,0,,49.0,0.5128,,,0.0804,0.214,0.0153,0.0105,45.0,0.0054,0.0085,0.5645,0.5812,0.5645,0.4575,0.4444,0.4575,0.5054,0.5037,0.5054,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,1,,,,,,0.0793,0.2117,,,50.0,0.0064,0.007,,,,,,,,,,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,2,,33.0,0.4138,,,0.0792,0.2145,0.0168,0.0095,25.0,0.0062,0.0073,0.6182,0.5522,0.6182,0.2222,0.2418,0.2222,0.3269,0.3364,0.3269,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,3,,33.0,0.4848,,,0.0793,0.212,0.0165,0.0095,25.0,0.0072,0.0064,0.5455,0.5506,0.5402,0.3137,0.3203,0.3072,0.3983,0.405,0.3917,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/2,4,,44.0,0.5,,,0.0779,0.2119,0.0153,0.0094,40.0,0.006,0.0077,0.6,0.746,0.6,0.3529,0.3072,0.3529,0.4444,0.4352,0.4444,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,0,,49.0,0.6154,,,0.0814,0.2153,0.0163,0.0092,45.0,0.0066,0.0087,0.55,0.5,0.54,0.3595,0.3856,0.3529,0.4348,0.4354,0.4269,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,1,,40.0,0.56,,,0.0768,0.2094,0.017,0.01,35.0,0.0054,0.0083,0.575,0.5663,0.5529,0.3007,0.3072,0.3072,0.3948,0.3983,0.395,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,2,,76.0,0.5,,,0.0802,0.2125,0.0157,0.0099,80.0,0.006,0.008,0.5495,0.6104,0.5854,0.3268,0.3072,0.3137,0.4098,0.4087,0.4085,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,3,,52.0,0.6667,,,0.0789,0.2119,0.0165,0.0096,50.0,0.0068,0.008,0.4671,0.617,0.4605,0.4641,0.3791,0.4575,0.4656,0.4696,0.459,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_Gen3_SSD,small,detection/pothole_small/3,4,,48.0,0.5714,,,0.079,0.2132,0.0165,0.0093,45.0,0.0077,0.0091,0.8302,0.6486,0.8302,0.2876,0.3137,0.2876,0.4272,0.4229,0.4272,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,0,,375.0,0.7438,,,0.0605,0.2063,0.0094,0.015,34.0,0.0036,0.0031,0.8594,0.8692,0.857,0.7046,0.6828,0.7122,0.7744,0.7648,0.7779,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,1,,495.0,0.7553,,,0.0595,0.2048,0.0126,0.0151,46.0,0.0047,0.0037,0.8636,0.8694,0.8621,0.7096,0.6875,0.7174,0.779,0.7678,0.7831,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,2,,354.0,0.7428,,,0.0597,0.206,0.0094,0.0146,32.0,0.0037,0.003,0.8478,0.8516,0.8492,0.7114,0.6956,0.7176,0.7736,0.7657,0.7779,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,3,,249.0,0.7402,,,0.0565,0.2028,0.0126,0.0144,22.0,0.0035,0.003,0.856,0.8624,0.8398,0.6974,0.6865,0.7145,0.7686,0.7645,0.7721,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,large,detection/vitens_large,4,,595.0,0.7445,,,0.0597,0.2045,0.0095,0.0148,56.0,0.0041,0.0034,0.8668,0.8584,0.8626,0.7023,0.6953,0.7153,0.7759,0.7683,0.7821,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,0,,290.0,0.6745,,,0.034,0.1782,0.0097,0.0121,42.0,0.0036,0.0025,0.8347,0.7761,0.8347,0.6601,0.6797,0.6601,0.7372,0.7247,0.7372,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,1,,334.0,0.7003,,,0.0346,0.1773,0.01,0.0138,50.0,0.0035,0.0025,0.7857,0.7984,0.792,0.6471,0.6471,0.6471,0.7097,0.7148,0.7122,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,2,,206.0,0.6678,,,0.0323,0.1766,0.0101,0.0137,30.0,0.003,0.0026,0.7615,0.7368,0.8,0.6471,0.6405,0.6536,0.6996,0.6853,0.7194,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,3,,283.0,0.723,,,0.0332,0.1775,0.0094,0.012,42.0,0.0041,0.0026,0.8062,0.811,0.7899,0.6797,0.6732,0.7124,0.7376,0.7357,0.7491,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,medium,detection/pothole_medium,4,,386.0,0.6782,,,0.0354,0.1784,0.0088,0.0133,58.0,0.0036,0.0023,0.7808,0.7584,0.7832,0.7451,0.7386,0.732,0.7625,0.7483,0.7568,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,0,,51.0,0.4167,,,0.1145,0.2488,0.0094,0.0124,40.0,0.0082,0.0082,0.529,0.5111,0.5448,0.4771,0.451,0.4771,0.5017,0.4792,0.5087,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,1,,44.0,0.439,,,0.1168,0.2492,0.0099,0.0134,35.0,0.0095,0.0138,0.4932,0.5526,0.4839,0.4706,0.4118,0.4902,0.4816,0.4719,0.487,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,2,,57.0,0.6667,,,0.117,0.2496,0.0097,0.0132,50.0,0.0106,0.0117,0.6635,0.6068,0.5133,0.451,0.4641,0.5033,0.537,0.5259,0.5083,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,3,,79.0,0.6452,,,0.1135,0.2471,0.0089,0.0127,75.0,0.0086,0.012,0.584,0.5634,0.7349,0.4771,0.5229,0.3987,0.5252,0.5424,0.5169,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/1,4,,86.0,0.5,,,0.1117,0.244,0.0098,0.0142,85.0,0.0068,0.0093,0.5793,0.5857,0.7831,0.549,0.5359,0.4248,0.5638,0.5597,0.5508,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,0,,48.0,0.4706,,,0.114,0.249,0.0114,0.013,40.0,0.0076,0.0099,0.6822,0.6852,0.6822,0.4771,0.4837,0.4771,0.5615,0.567,0.5615,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,1,,39.0,0.5294,,,0.1115,0.2478,0.0091,0.0134,30.0,0.0059,0.015,0.64,0.6986,0.6316,0.3137,0.3333,0.3137,0.4211,0.4513,0.4192,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,2,,47.0,0.5128,,,0.1135,0.2466,0.0084,0.0131,40.0,0.0065,0.0081,0.6328,0.7103,0.5714,0.5294,0.4967,0.5229,0.5765,0.5846,0.5461,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,3,,39.0,0.4737,,,0.1153,0.2484,0.0084,0.0124,30.0,0.0082,0.0084,0.5078,0.4702,0.5238,0.4248,0.4641,0.4314,0.4626,0.4671,0.4731,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/2,4,,43.0,0.5143,,,0.1126,0.2481,0.0093,0.0135,35.0,0.0079,0.0094,0.62,0.6036,0.6923,0.4052,0.4379,0.4118,0.4901,0.5076,0.5164,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,0,,48.0,0.5625,,,0.112,0.2443,0.009,0.0132,40.0,0.0065,0.0069,0.5474,0.5362,0.55,0.4902,0.4837,0.4314,0.5172,0.5086,0.4835,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,1,,39.0,0.6667,,,0.1154,0.2498,0.0102,0.0133,30.0,0.0088,0.0106,0.5042,0.4741,0.5039,0.3922,0.4183,0.4183,0.4412,0.4444,0.4571,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,2,,49.0,0.6364,,,0.1123,0.2507,0.0101,0.0126,40.0,0.0066,0.0082,0.6849,0.6933,0.7231,0.3268,0.3399,0.3072,0.4425,0.4561,0.4312,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,3,,48.0,0.6923,,,0.1102,0.2471,0.011,0.0131,40.0,0.0066,0.0082,0.5221,0.5224,0.5078,0.4641,0.4575,0.4248,0.4913,0.4878,0.4626,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Custom_Object_Detection_YOLOX,small,detection/pothole_small/3,4,,49.0,0.6,,,0.1155,0.2527,0.0089,0.0145,40.0,0.0067,0.0085,0.5462,0.5,0.5316,0.4641,0.5556,0.549,0.5018,0.5263,0.5402,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,0,,1366.0,0.8059,,,0.0076,0.3301,0.3558,0.0781,32.0,0.0003,0.002,0.8745,0.8832,0.8748,0.7924,0.7848,0.7926,0.8314,0.8311,0.8317,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,1,,1558.0,0.7936,,,0.0075,0.3296,0.3581,0.0791,37.0,0.0002,0.0017,0.8826,0.8653,0.8656,0.7804,0.7854,0.7957,0.8284,0.8234,0.8292,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,2,,1397.0,0.7967,,,0.0074,0.3287,0.3554,0.0791,33.0,0.0003,0.0018,0.8863,0.8887,0.8849,0.7789,0.7711,0.7804,0.8291,0.8257,0.8294,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,3,,1319.0,0.8146,,,0.0074,0.3286,0.3559,0.0791,31.0,0.0003,0.002,0.8657,0.8709,0.8656,0.7947,0.7911,0.7939,0.8287,0.829,0.8282,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,large,detection/vitens_large,4,,1071.0,0.8013,,,0.0074,0.328,0.3571,0.0782,25.0,0.0003,0.0018,0.8586,0.8524,0.8597,0.7882,0.7898,0.789,0.8219,0.8199,0.8228,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,0,,649.0,0.771,,,0.0081,0.3356,0.31,0.0674,22.0,0.0004,0.0018,0.8115,0.7951,0.8083,0.6471,0.634,0.634,0.72,0.7055,0.7106,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,1,,984.0,0.7796,,,0.0079,0.3333,0.3093,0.066,34.0,0.0003,0.0022,0.8504,0.8333,0.8438,0.7059,0.6863,0.7059,0.7714,0.7527,0.7687,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,2,,535.0,0.741,,,0.0074,0.3319,0.3088,0.0666,18.0,0.0003,0.0017,0.7208,0.7115,0.8145,0.7255,0.7255,0.6601,0.7231,0.7184,0.7292,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,3,,1034.0,0.7538,,,0.0074,0.3327,0.3091,0.0666,36.0,0.0003,0.0021,0.7405,0.7635,0.7452,0.7647,0.7386,0.7647,0.7524,0.7508,0.7548,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,medium,detection/pothole_medium,4,,849.0,0.7525,,,0.008,0.3341,0.307,0.0656,29.0,0.0004,0.0023,0.7846,0.8264,0.7923,0.6667,0.6536,0.6732,0.7208,0.7299,0.7279,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,0,,178.0,0.8571,,,0.0245,0.3534,0.3093,0.0672,52.0,0.0027,0.0079,0.7103,0.7196,0.7196,0.4967,0.5033,0.5033,0.5846,0.5923,0.5923,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,1,,133.0,0.72,,,0.0246,0.3509,0.3087,0.0687,36.0,0.003,0.0079,0.6807,0.6972,0.6807,0.5294,0.4967,0.5294,0.5956,0.5802,0.5956,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,2,,102.0,0.7097,,,0.0231,0.3457,0.3086,0.0658,28.0,0.0028,0.0064,0.522,0.5155,0.522,0.5425,0.5425,0.5425,0.5321,0.5287,0.5321,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,3,,114.0,0.6452,,,0.0235,0.3477,0.3095,0.0663,32.0,0.0023,0.007,0.64,0.6349,0.6349,0.5229,0.5229,0.5229,0.5755,0.5735,0.5735,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/1,4,,64.0,0.6364,,,0.0242,0.3488,0.3069,0.066,16.0,0.0026,0.0071,0.625,0.6044,0.625,0.3595,0.3595,0.3595,0.4564,0.4508,0.4564,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,0,,92.0,0.7,,,0.0242,0.3507,0.3084,0.0675,24.0,0.0026,0.0053,0.5621,0.6027,0.5621,0.6209,0.5752,0.6209,0.5901,0.5886,0.5901,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,1,,92.0,0.5294,,,0.0247,0.3502,0.3088,0.0685,24.0,0.0033,0.0067,0.6224,0.6149,0.6466,0.5817,0.5948,0.5621,0.6014,0.6047,0.6014,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,2,,104.0,0.6829,,,0.0246,0.3517,0.3097,0.0677,28.0,0.0031,0.0075,0.6054,0.6277,0.6054,0.5817,0.5621,0.5817,0.5933,0.5931,0.5933,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,3,,149.0,0.619,,,0.0239,0.3467,0.3087,0.0642,44.0,0.003,0.0084,0.696,0.5698,0.6049,0.5686,0.6667,0.6405,0.6259,0.6145,0.6222,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/2,4,,93.0,0.75,,,0.0245,0.3505,0.3071,0.0693,24.0,0.0031,0.0078,0.6232,0.664,0.6259,0.5621,0.5425,0.5686,0.5911,0.5971,0.5959,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,0,,115.0,0.7857,,,0.0231,0.3486,0.3093,0.0683,32.0,0.0031,0.0071,0.6026,0.6357,0.6026,0.6144,0.5817,0.6144,0.6084,0.6075,0.6084,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,1,,76.0,0.6364,,,0.0242,0.3476,0.3067,0.0682,20.0,0.0033,0.008,0.7143,0.6974,0.7143,0.3595,0.3464,0.3595,0.4783,0.4629,0.4783,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,2,,77.0,0.6923,,,0.0232,0.347,0.3068,0.0674,20.0,0.0027,0.0083,0.6218,0.6061,0.6271,0.4837,0.5229,0.4837,0.5441,0.5614,0.5461,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,3,,88.0,0.6923,,,0.0255,0.352,0.3072,0.0652,24.0,0.0029,0.0076,0.6028,0.5752,0.6378,0.5556,0.5752,0.5294,0.5782,0.5752,0.5786,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_ResNeXt101_ATSS,small,detection/pothole_small/3,4,,101.0,0.72,,,0.0238,0.3509,0.3056,0.0672,28.0,0.0028,0.0067,0.646,0.6061,0.646,0.4771,0.5229,0.4771,0.5489,0.5614,0.5489,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,0,,753.0,0.8191,,,0.0392,0.2813,0.0794,0.0255,48.0,0.0102,0.0049,0.855,0.8614,0.7781,0.7607,0.7581,0.789,0.8051,0.8065,0.7835,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,1,,635.0,0.8065,,,0.038,0.2806,0.082,0.0255,40.0,0.0089,0.0044,0.8295,0.8343,0.7951,0.7615,0.7407,0.7682,0.794,0.7847,0.7814,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,2,,399.0,0.8149,,,0.0332,0.2829,0.0793,0.0251,24.0,0.0089,0.0051,0.8295,0.866,0.8755,0.7726,0.7394,0.7482,0.8001,0.7977,0.8069,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,3,,725.0,0.8178,,,0.0358,0.2818,0.0784,0.0254,46.0,0.0092,0.0047,0.8681,0.8444,0.868,0.7667,0.7732,0.7939,0.8142,0.8072,0.8293,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,large,detection/vitens_large,4,,692.0,0.8064,,,0.0417,0.2816,0.0782,0.0254,44.0,0.011,0.0035,0.8741,0.8702,0.8726,0.762,0.755,0.7893,0.8142,0.8085,0.8288,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,0,,510.0,0.6914,,,0.0273,0.2636,0.0692,0.0311,48.0,0.0056,0.0107,0.7759,0.8462,0.7913,0.5882,0.5752,0.5948,0.6691,0.6848,0.6791,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,1,,389.0,0.7064,,,0.0261,0.2635,0.0684,0.0337,36.0,0.005,0.0076,0.7059,0.6824,0.7863,0.6275,0.6601,0.6013,0.6644,0.6711,0.6815,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,2,,368.0,0.6656,,,0.0258,0.266,0.0688,0.03,34.0,0.0065,0.0084,0.6731,0.7197,0.8558,0.6863,0.6209,0.5817,0.6796,0.6667,0.6926,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,3,,371.0,0.6518,,,0.0253,0.2642,0.068,0.0295,34.0,0.0047,0.0097,0.7565,0.7083,0.7759,0.5686,0.5556,0.5882,0.6493,0.6227,0.6691,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,medium,detection/pothole_medium,4,,464.0,0.6827,,,0.026,0.26,0.0681,0.0282,44.0,0.0042,0.0108,0.8016,0.7879,0.7836,0.6601,0.6797,0.6863,0.724,0.7298,0.7317,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,0,,65.0,0.3871,,,0.1555,0.3771,0.069,0.0317,30.0,0.008,0.0175,0.3077,0.6667,0.3373,0.3137,0.2092,0.366,0.3107,0.3184,0.3511,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,1,,56.0,0.48,,,0.1521,0.3709,0.0685,0.0297,25.0,0.007,0.0224,0.5217,0.5194,0.5842,0.3922,0.4379,0.3856,0.4478,0.4752,0.4646,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,2,,79.0,0.4138,,,0.1661,0.3883,0.0674,0.0308,40.0,0.0148,0.0249,0.3874,0.384,0.3462,0.281,0.3137,0.3529,0.3258,0.3453,0.3495,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,3,,58.0,0.5714,,,0.1696,0.4009,0.0677,0.0294,25.0,0.0102,0.0297,0.6456,0.6364,0.5926,0.3333,0.3203,0.3137,0.4397,0.4261,0.4103,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/1,4,,54.0,0.5,,,0.1563,0.3671,0.0676,0.0299,25.0,0.011,0.015,0.6552,0.6296,0.625,0.2484,0.2222,0.2288,0.3602,0.3285,0.3349,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,0,,71.0,0.5098,,,0.1539,0.3751,0.0695,0.0302,35.0,0.0092,0.0144,0.3216,0.4135,0.3122,0.4183,0.3595,0.4183,0.3636,0.3846,0.3575,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,1,,55.0,0.4681,,,0.1535,0.371,0.0685,0.0283,25.0,0.008,0.0259,0.4861,0.5657,0.5714,0.4575,0.366,0.366,0.4714,0.4444,0.4462,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,2,,54.0,0.6667,,,0.1602,0.3725,0.0684,0.0301,25.0,0.0104,0.0262,0.5075,0.4583,0.5271,0.4444,0.4314,0.4444,0.4739,0.4444,0.4823,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,3,,67.0,0.4615,,,0.1571,0.3945,0.0688,0.0323,30.0,0.0101,0.0301,0.4868,0.4931,0.4645,0.4837,0.4641,0.4706,0.4852,0.4781,0.4675,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/2,4,,57.0,0.4878,,,0.1641,0.3791,0.0677,0.0308,25.0,0.0123,0.0173,0.5078,0.5133,0.4257,0.4248,0.3791,0.4118,0.4626,0.4361,0.4186,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,0,,57.0,0.5333,,,0.1547,0.3781,0.068,0.0275,25.0,0.0087,0.0164,0.4897,0.4593,0.473,0.4641,0.4052,0.4575,0.4765,0.4306,0.4651,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,1,,74.0,0.2857,,,0.169,0.3995,0.069,0.027,35.0,0.0132,0.0271,0.3245,0.3597,0.3194,0.3987,0.3268,0.3987,0.3578,0.3425,0.3547,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,2,,67.0,0.5185,,,0.1834,0.4074,0.0691,0.0279,30.0,0.0283,0.035,0.4809,0.4889,0.57,0.4118,0.4314,0.3725,0.4437,0.4583,0.4506,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,3,,59.0,0.48,,,0.1729,0.4156,0.0698,0.031,25.0,0.0162,0.0348,0.4945,0.5,0.4943,0.2941,0.2745,0.281,0.3689,0.3544,0.3583,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_L,small,detection/pothole_small/3,4,,73.0,0.5926,,,0.1555,0.3696,0.0739,0.0299,35.0,0.0081,0.016,0.6289,0.6556,0.6275,0.3987,0.3856,0.4183,0.488,0.4856,0.502,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,0,,305.0,0.7594,,,0.1105,0.3006,0.0178,0.0153,18.0,0.0146,0.014,0.8273,0.8358,0.8273,0.7184,0.6987,0.7272,0.769,0.7611,0.774,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,1,,480.0,0.7822,,,0.0912,0.2778,0.018,0.0152,32.0,0.0042,0.0028,0.8476,0.8561,0.8241,0.7319,0.7303,0.761,0.7855,0.7882,0.7913,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,2,,396.0,0.7607,,,0.1158,0.3052,0.018,0.0154,24.0,0.0042,0.0034,0.829,0.8153,0.8099,0.7119,0.7309,0.7355,0.766,0.7708,0.7709,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,3,,457.0,0.777,,,0.1142,0.3058,0.0177,0.0151,28.0,0.0066,0.0055,0.8584,0.8758,0.8605,0.7176,0.7046,0.7335,0.7817,0.781,0.7919,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,large,detection/vitens_large,4,,718.0,0.8068,,,0.095,0.2843,0.0181,0.0151,48.0,0.0056,0.0052,0.8547,0.8509,0.8575,0.7436,0.7433,0.7589,0.7953,0.7935,0.8052,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,0,,368.0,0.671,,,0.0718,0.2551,0.0171,0.0165,38.0,0.0046,0.0036,0.736,0.6917,0.7317,0.6013,0.6013,0.5882,0.6619,0.6434,0.6522,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,1,,479.0,0.6902,,,0.0724,0.256,0.017,0.0151,50.0,0.0048,0.0048,0.7578,0.7874,0.8318,0.634,0.6536,0.5817,0.6904,0.7143,0.6846,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,2,,476.0,0.6827,,,0.0729,0.2544,0.0166,0.0149,50.0,0.0064,0.0054,0.8661,0.9307,0.9293,0.634,0.6144,0.6013,0.7321,0.7402,0.7302,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,3,,479.0,0.6794,,,0.0763,0.2569,0.0169,0.0138,50.0,0.0083,0.0083,0.7982,0.7664,0.7944,0.5686,0.5359,0.5556,0.6641,0.6308,0.6538,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,medium,detection/pothole_medium,4,,384.0,0.6633,,,0.0737,0.2543,0.0168,0.0168,40.0,0.0064,0.0054,0.7826,0.7826,0.6541,0.5882,0.5882,0.5686,0.6716,0.6716,0.6084,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,0,,91.0,0.4211,,,0.1761,0.3476,0.0171,0.0144,60.0,0.0175,0.0157,0.5682,0.5778,0.6154,0.1634,0.1699,0.1569,0.2538,0.2626,0.25,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,1,,67.0,0.25,,,0.1956,0.3644,0.0171,0.015,40.0,0.0148,0.0155,0.2146,0.204,0.3396,0.2876,0.268,0.2353,0.2458,0.2316,0.278,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,2,,201.0,0.5926,,,0.1813,0.3509,0.0187,0.0163,145.0,0.0165,0.0158,0.525,0.5278,0.5849,0.4118,0.3725,0.4052,0.4615,0.4368,0.4788,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,3,,94.0,0.4286,,,0.1678,0.3367,0.0188,0.0146,65.0,0.0138,0.013,0.3684,0.4744,0.359,0.2745,0.2418,0.2745,0.3146,0.3203,0.3111,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/1,4,,57.0,0.3333,,,0.1703,0.3397,0.0184,0.0153,35.0,0.0144,0.0123,0.2385,0.2362,0.2258,0.2026,0.1961,0.183,0.2191,0.2143,0.2022,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,0,,99.0,0.4,,,0.1641,0.332,0.0179,0.0155,70.0,0.014,0.0116,0.5446,0.5179,0.5327,0.3595,0.3791,0.3725,0.4331,0.4377,0.4385,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,1,,86.0,0.3529,,,0.1612,0.3307,0.0169,0.0153,60.0,0.012,0.0121,0.4828,0.4261,0.4848,0.2745,0.3203,0.3137,0.35,0.3657,0.381,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,2,,169.0,0.4865,,,0.186,0.3575,0.0165,0.0129,120.0,0.0148,0.014,0.6489,0.5741,0.5385,0.3987,0.4052,0.4118,0.4939,0.4751,0.4667,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,3,,57.0,0.2182,,,0.1717,0.3417,0.0167,0.0155,35.0,0.0142,0.0136,0.1724,0.1856,0.1836,0.2288,0.2353,0.2484,0.1966,0.2075,0.2111,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/2,4,,138.0,0.45,,,0.1885,0.3623,0.0167,0.0154,95.0,0.0163,0.0156,0.5345,0.4452,0.4593,0.4052,0.4248,0.4052,0.461,0.4348,0.4306,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,0,,69.0,0.1818,,,0.1628,0.333,0.017,0.0146,45.0,0.0141,0.0124,0.3882,0.378,0.4861,0.2157,0.2026,0.2288,0.2773,0.2638,0.3111,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,1,,45.0,0.1875,,,0.172,0.3425,0.018,0.0158,25.0,0.0151,0.0153,0.175,0.15,0.1034,0.0458,0.0392,0.0392,0.0725,0.0622,0.0569,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,2,,71.0,0.3333,,,0.1812,0.3542,0.0165,0.0155,45.0,0.0144,0.0122,0.3256,0.4206,0.268,0.366,0.2941,0.4379,0.3446,0.3462,0.3325,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,3,,51.0,0.3333,,,0.1716,0.3426,0.017,0.0163,30.0,0.0168,0.0172,0.2,0.2692,0.3333,0.0196,0.0458,0.0458,0.0357,0.0782,0.0805,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_S,small,detection/pothole_small/3,4,,76.0,0.4615,,,0.1767,0.3468,0.0168,0.0168,50.0,0.0173,0.0149,0.3669,0.3961,0.366,0.4052,0.3987,0.366,0.3851,0.3974,0.366,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,0,,1225.0,0.8049,,,0.0068,0.2414,0.1442,0.0399,40.0,0.0003,0.0077,0.8166,0.7967,0.7647,0.7547,0.7659,0.7776,0.7845,0.781,0.7711,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,1,,992.0,0.8017,,,0.0068,0.2411,0.1457,0.0402,32.0,0.0002,0.0081,0.8405,0.8391,0.8394,0.7755,0.7771,0.7934,0.8067,0.8069,0.8157,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,2,,776.0,0.7832,,,0.0068,0.2397,0.1446,0.0402,25.0,0.0004,0.0097,0.7909,0.7919,0.7707,0.7394,0.7337,0.7319,0.7643,0.7617,0.7508,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,3,,782.0,0.79,,,0.0069,0.2436,0.1453,0.04,25.0,0.0003,0.007,0.798,0.8023,0.7555,0.7641,0.7571,0.7809,0.7807,0.779,0.768,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,large,detection/vitens_large,4,,1686.0,0.8229,,,0.0068,0.2409,0.1448,0.0399,56.0,0.0003,0.0064,0.8139,0.8248,0.7913,0.7968,0.7822,0.802,0.8052,0.803,0.7966,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,0,,1047.0,0.6959,,,0.0072,0.2367,0.1282,0.0427,50.0,0.0004,0.0072,0.8,0.8443,0.84,0.7059,0.6732,0.6863,0.75,0.7491,0.7554,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,1,,848.0,0.6787,,,0.0073,0.2387,0.1299,0.0438,40.0,0.0004,0.0064,0.8347,0.7907,0.7206,0.6601,0.6667,0.6405,0.7372,0.7234,0.6782,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,2,,724.0,0.6962,,,0.0073,0.2367,0.1263,0.0426,34.0,0.0004,0.0087,0.813,0.808,0.824,0.6536,0.6601,0.6732,0.7246,0.7266,0.741,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,3,,739.0,0.675,,,0.0074,0.2387,0.1255,0.0427,35.0,0.0004,0.0089,0.7727,0.7611,0.719,0.5556,0.5621,0.5686,0.6464,0.6466,0.635,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,medium,detection/pothole_medium,4,,852.0,0.6953,,,0.0075,0.2338,0.1264,0.0441,41.0,0.0003,0.0077,0.8359,0.7793,0.8058,0.6993,0.7386,0.732,0.7616,0.7584,0.7671,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,0,,137.0,0.6364,,,0.0429,0.2639,0.1286,0.0427,48.0,0.0048,0.0212,0.5426,0.5227,0.5484,0.4575,0.451,0.4444,0.4965,0.4842,0.491,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,1,,97.0,0.4211,,,0.0424,0.2632,0.1295,0.0441,32.0,0.0038,0.0218,0.4466,0.4945,0.449,0.3007,0.2941,0.2876,0.3594,0.3689,0.3506,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,2,,103.0,0.5517,,,0.0459,0.2714,0.1284,0.0432,32.0,0.0079,0.0258,0.323,0.4535,0.3375,0.3399,0.2549,0.3529,0.3312,0.3264,0.345,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,3,,71.0,0.4545,,,0.0468,0.2834,0.1249,0.0433,20.0,0.0078,0.024,0.5,0.4519,0.5,0.3464,0.3987,0.366,0.4093,0.4236,0.4226,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/1,4,,71.0,0.6,,,0.0491,0.26,0.1279,0.0435,20.0,0.014,0.0263,0.5526,0.6,0.525,0.1373,0.1373,0.1373,0.2199,0.2234,0.2176,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,0,,102.0,0.4571,,,0.0423,0.2678,0.1264,0.0431,32.0,0.0031,0.0168,0.48,0.5,0.5644,0.3922,0.3464,0.3725,0.4317,0.4093,0.4488,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,1,,112.0,0.5854,,,0.0442,0.2656,0.1283,0.0429,36.0,0.0114,0.0252,0.5714,0.5,0.4912,0.366,0.3725,0.366,0.4462,0.427,0.4195,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,2,,82.0,0.3889,,,0.05,0.2707,0.1276,0.0429,24.0,0.0157,0.028,0.5042,0.5091,0.5161,0.3922,0.366,0.4183,0.4412,0.4259,0.4621,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,3,,92.0,0.5143,,,0.0453,0.276,0.1287,0.0428,28.0,0.0065,0.0254,0.5949,0.5426,0.5753,0.3072,0.3333,0.2745,0.4052,0.413,0.3717,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/2,4,,71.0,0.6087,,,0.0419,0.259,0.1256,0.0436,20.0,0.003,0.0177,0.5188,0.4573,0.4759,0.451,0.4902,0.451,0.4825,0.4732,0.4631,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,0,,84.0,0.3333,,,0.0524,0.2793,0.128,0.0466,24.0,0.021,0.0245,0.471,0.4493,0.4539,0.4248,0.4052,0.4183,0.4467,0.4261,0.4354,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,1,,72.0,0.3529,,,0.0433,0.2696,0.1262,0.0431,20.0,0.0061,0.0185,0.4493,0.4958,0.3514,0.4052,0.3856,0.5098,0.4261,0.4338,0.416,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,2,,237.0,0.5,,,0.0437,0.2679,0.1263,0.0449,84.0,0.0085,0.0211,0.7671,0.7778,0.8261,0.366,0.366,0.3725,0.4956,0.4978,0.5135,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,3,,83.0,0.56,,,0.0468,0.2817,0.1271,0.0442,24.0,0.0078,0.024,0.4609,0.4264,0.4685,0.3464,0.3595,0.3399,0.3955,0.3901,0.3939,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,detection,Object_Detection_YOLOX_X,small,detection/pothole_small/3,4,,59.0,0.4242,,,0.0418,0.2562,0.1291,0.0414,16.0,0.0029,0.012,0.4737,0.4737,0.4731,0.2941,0.2941,0.2876,0.3629,0.3629,0.3577,,,,20240409-082547,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-6fff4025-040f-9368-ae9e-ba0abeebaa80)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-12ee50ad-36c6-2eee-8080-8d8a666f363f)",9784b1a8c02f,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,0,,132.0,73.1097,,,0.032,0.1142,0.0092,0.0119,24.0,0.0048,0.0047,,,,,,,,,,0.3101,0.3053,0.3097,20240405-214529,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,hierarchical_label_classification,Custom_Image_Classification_DeiT-Tiny,medium,classification/h_label/h_label_CUB_medium,1,,116.0,73.6859,,,0.0316,0.1136,0.0094,0.0114,26.0,0.002,0.0021,,,,,,,,,,0.3377,0.3351,0.3377,20240405-214529,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
@@ -1219,356 +689,6 @@ GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)"
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,multi_label_classification,Custom_Image_Classification_MobileNet-V3-large-1x,small,classification/multi_label/multilabel_CUB_small/3,4,,25.0,1.0,,,0.033,0.1511,0.0083,0.011,16.0,0.0019,0.0099,,,,,,,,,,0.9718,0.9435,0.9718,20240405-214529,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,0,0.8874,843.0,0.9205,0.8879,0.8874,0.0078,0.2762,0.0455,0.0455,23.0,0.0071,0.0105,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,1,0.8551,391.0,0.9028,0.8548,0.8546,0.0075,0.2845,0.0459,0.0479,10.0,0.007,0.0126,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,2,0.8586,626.0,0.92,0.858,0.8586,0.0076,0.2741,0.0458,0.0483,17.0,0.0065,0.0099,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,3,0.8639,450.0,0.9191,0.8631,0.862,0.0079,0.2745,0.0448,0.0481,12.0,0.0068,0.011,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,large,semantic_seg/kvasir_large,4,0.873,558.0,0.9123,0.872,0.871,0.0077,0.2753,0.0462,0.0468,15.0,0.0069,0.0106,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,0,0.7643,230.0,0.8759,0.7642,0.7666,0.0108,0.2832,0.0449,0.0465,13.0,0.0094,0.0125,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,1,0.8562,402.0,0.9001,0.8562,0.8543,0.0113,0.2796,0.0467,0.0473,24.0,0.0098,0.0146,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,2,0.8311,242.0,0.8943,0.8302,0.8298,0.0114,0.2774,0.0462,0.0459,14.0,0.0102,0.016,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,3,0.8048,226.0,0.8787,0.8042,0.8007,0.0111,0.2785,0.0463,0.0516,13.0,0.0099,0.014,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,medium,semantic_seg/kvasir_medium,4,0.8269,256.0,0.889,0.8269,0.8254,0.0108,0.2748,0.0458,0.0446,15.0,0.0092,0.0151,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,0,0.7219,102.0,0.876,0.7217,0.7202,0.0734,0.335,0.0431,0.0472,41.0,0.0078,0.011,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,1,0.735,120.0,0.8385,0.7346,0.7338,0.0742,0.3381,0.0454,0.0482,51.0,0.0072,0.0109,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,2,0.7121,114.0,0.8508,0.7114,0.7136,0.0738,0.3393,0.0492,0.0497,48.0,0.0077,0.0124,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,3,0.7302,105.0,0.8416,0.7299,0.7299,0.0723,0.3364,0.0416,0.0444,43.0,0.0059,0.0126,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/1,4,0.6778,119.0,0.8594,0.6783,0.6763,0.0744,0.3396,0.0435,0.0459,50.0,0.0086,0.0125,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,0,0.7039,99.0,0.7516,0.6997,0.7,0.0708,0.3404,0.0478,0.0459,40.0,0.0076,0.014,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,1,0.6913,105.0,0.8057,0.691,0.6917,0.0713,0.3452,0.0485,0.0497,43.0,0.0078,0.0138,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,2,0.7253,102.0,0.7778,0.7243,0.7229,0.0722,0.3424,0.0452,0.0475,42.0,0.0061,0.017,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,3,0.6913,98.0,0.7633,0.691,0.6898,0.0722,0.3385,0.0447,0.0428,40.0,0.0093,0.0108,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/2,4,0.6761,101.0,0.7955,0.6757,0.6758,0.0726,0.3456,0.0502,0.0518,41.0,0.0067,0.0113,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,0,0.5454,100.0,0.807,0.5446,0.5446,0.0761,0.3422,0.0428,0.0398,40.0,0.0058,0.0111,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,1,0.5914,98.0,0.7575,0.5905,0.5914,0.0747,0.3438,0.0452,0.0432,40.0,0.0057,0.011,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,2,0.6519,96.0,0.7809,0.6498,0.6479,0.0753,0.344,0.0508,0.0504,39.0,0.006,0.0096,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,3,0.6805,120.0,0.7892,0.6792,0.6798,0.0772,0.3455,0.0468,0.045,51.0,0.0075,0.0107,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18-mod2_OCR,small,semantic_seg/kvasir_small/3,4,0.6438,102.0,0.8148,0.6396,0.6424,0.0764,0.3443,0.0422,0.0434,42.0,0.0073,0.0114,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,0,0.8667,449.0,0.9099,0.8666,0.0158,0.0075,0.2741,0.0454,0.065,12.0,0.0069,0.0106,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,1,0.8373,455.0,0.9164,0.8362,0.3038,0.0072,0.278,0.0458,0.1366,12.0,0.0067,0.0102,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,2,0.8694,384.0,0.9125,0.8694,0.3059,0.007,0.2793,0.0449,0.1006,10.0,0.0066,0.0111,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,3,0.8411,554.0,0.9191,0.8394,0.2481,0.0073,0.2743,0.0468,0.4564,15.0,0.0069,0.0112,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,large,semantic_seg/kvasir_large,4,0.8716,768.0,0.9235,0.8711,0.3054,0.0074,0.275,0.0452,0.0923,21.0,0.0068,0.0097,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,0,0.8231,335.0,0.8968,0.8217,0.3049,0.0109,0.2741,0.0479,0.0766,20.0,0.0099,0.0142,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,1,0.794,257.0,0.891,0.794,0.2976,0.0106,0.2761,0.0457,0.1301,15.0,0.01,0.0159,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,2,0.861,349.0,0.8937,0.86,0.3434,0.0105,0.2736,0.0456,0.3791,21.0,0.0098,0.0138,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,3,0.7924,179.0,0.8724,0.7925,0.0515,0.0104,0.2807,0.0494,0.1174,10.0,0.0095,0.0143,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,medium,semantic_seg/kvasir_medium,4,0.7931,496.0,0.8963,0.7931,0.2743,0.0106,0.2785,0.044,0.2179,30.0,0.0099,0.0143,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,0,0.7301,98.0,0.8762,0.7294,0.2712,0.074,0.3407,0.0463,0.1137,39.0,0.0078,0.0089,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,1,0.7173,99.0,0.8331,0.7174,0.3178,0.0759,0.3452,0.0463,0.1512,39.0,0.0082,0.0116,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,2,0.7082,100.0,0.8506,0.7081,0.3084,0.0728,0.3459,0.049,0.2033,40.0,0.0072,0.0131,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,3,0.7361,102.0,0.8513,0.7369,0.2648,0.0756,0.3421,0.0458,0.387,41.0,0.0084,0.0115,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/1,4,0.723,103.0,0.8579,0.7234,0.3021,0.0731,0.342,0.0484,0.0825,42.0,0.0099,0.0171,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,0,0.7168,101.0,0.7907,0.7167,0.3026,0.071,0.337,0.0505,0.0752,41.0,0.0074,0.0123,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,1,0.7001,100.0,0.7291,0.6999,0.2839,0.0719,0.3396,0.0463,0.4571,41.0,0.0074,0.0092,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,2,0.7112,97.0,0.7843,0.7101,0.2913,0.0719,0.3375,0.0448,0.1983,39.0,0.0067,0.0109,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,3,0.6862,97.0,0.7508,0.6855,0.309,0.0714,0.3346,0.0441,0.0854,40.0,0.0077,0.0091,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/2,4,0.6752,97.0,0.8163,0.675,0.3043,0.0724,0.3449,0.0485,0.0849,39.0,0.0087,0.0142,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,0,0.5977,133.0,0.8221,0.5955,0.302,0.0771,0.3454,0.0462,0.0703,57.0,0.0059,0.0095,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,1,0.63,141.0,0.7749,0.6293,0.2721,0.076,0.3439,0.0408,0.3914,62.0,0.0068,0.0121,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,2,0.6487,102.0,0.7807,0.6475,0.3117,0.0749,0.3452,0.0461,0.153,42.0,0.0063,0.0147,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,3,0.6932,107.0,0.7866,0.6945,0.1978,0.076,0.3416,0.0462,0.6675,45.0,0.0058,0.0107,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-18_OCR,small,semantic_seg/kvasir_small/3,4,0.654,109.0,0.8189,0.6534,0.273,0.0758,0.3429,0.0443,0.1123,45.0,0.0064,0.0094,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,0,0.8589,473.0,0.9083,0.8585,0.7812,0.0073,0.2202,0.0331,0.0436,16.0,0.0067,0.0097,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,1,0.866,592.0,0.9118,0.8656,0.8539,0.0074,0.2228,0.0352,0.0432,20.0,0.0071,0.0108,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,2,0.8504,450.0,0.9007,0.8501,0.8287,0.0072,0.2227,0.0335,0.0414,15.0,0.0069,0.0102,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,3,0.833,277.0,0.8944,0.8333,0.7999,0.0072,0.2205,0.0341,0.0415,9.0,0.007,0.0094,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,large,semantic_seg/kvasir_large,4,0.8377,802.0,0.9072,0.8372,0.8485,0.0074,0.2261,0.0337,0.0432,27.0,0.0068,0.01,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,0,0.8317,267.0,0.8823,0.8327,0.8019,0.0107,0.2246,0.0343,0.0438,20.0,0.0098,0.0147,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,1,0.7972,154.0,0.8798,0.7972,0.7549,0.0107,0.2216,0.0346,0.0415,11.0,0.0101,0.0126,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,2,0.799,218.0,0.8907,0.7992,0.7322,0.0106,0.2245,0.0339,0.0439,16.0,0.0098,0.0131,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,3,0.8013,266.0,0.896,0.8009,0.7333,0.0109,0.2256,0.0333,0.044,20.0,0.0102,0.0144,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,medium,semantic_seg/kvasir_medium,4,0.8413,369.0,0.8956,0.8417,0.781,0.0109,0.2274,0.0338,0.0441,28.0,0.0099,0.0131,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,0,0.6903,101.0,0.8341,0.6902,0.647,0.0705,0.2852,0.0323,0.049,51.0,0.0055,0.0113,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,1,0.7438,101.0,0.8301,0.7439,0.6937,0.0738,0.2874,0.0341,0.0415,52.0,0.007,0.011,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,2,0.7163,93.0,0.8457,0.7174,0.6808,0.0737,0.2847,0.0409,0.0587,47.0,0.0065,0.0096,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,3,0.6796,89.0,0.8446,0.6796,0.5985,0.0733,0.2926,0.0389,0.0511,43.0,0.0076,0.0095,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/1,4,0.6425,80.0,0.8212,0.6419,0.6293,0.0733,0.283,0.0343,0.0456,39.0,0.0066,0.0089,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,0,0.7091,83.0,0.8074,0.7087,0.635,0.0709,0.2828,0.0377,0.0497,41.0,0.0062,0.0081,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,1,0.6921,82.0,0.7304,0.6921,0.5802,0.0693,0.2866,0.035,0.0381,40.0,0.0081,0.0141,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,2,0.7157,83.0,0.7979,0.7158,0.6745,0.0698,0.2833,0.0361,0.0487,40.0,0.0073,0.0121,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,3,0.6436,87.0,0.8184,0.6439,0.5695,0.0722,0.2899,0.0437,0.0503,43.0,0.0072,0.0094,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/2,4,0.6914,95.0,0.776,0.6922,0.6526,0.071,0.2854,0.0383,0.0465,48.0,0.0065,0.0099,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,0,0.6952,94.0,0.7284,0.6946,0.6585,0.076,0.2944,0.0344,0.0453,47.0,0.0081,0.015,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,1,0.6365,81.0,0.756,0.6357,0.5579,0.0743,0.2973,0.0364,0.0402,39.0,0.0058,0.0142,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,2,0.6453,86.0,0.759,0.6451,0.6089,0.0758,0.2878,0.0329,0.0417,42.0,0.0058,0.0098,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,3,0.6847,83.0,0.7556,0.6849,0.6511,0.0764,0.2857,0.0358,0.0433,41.0,0.0067,0.0106,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR,small,semantic_seg/kvasir_small/3,4,0.5952,94.0,0.7525,0.5936,0.5159,0.0736,0.2902,0.0328,0.0369,48.0,0.0078,0.0091,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,0,0.9026,1137.0,0.9256,0.9015,0.8325,0.0074,0.5014,0.0949,0.1206,17.0,0.0069,0.009,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,1,0.8703,1111.0,0.9141,0.8692,0.0,0.0074,0.501,0.0968,0.0833,17.0,0.0069,0.0095,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,2,0.8597,1172.0,0.9155,0.8574,0.8083,0.0074,0.4996,0.0971,0.1144,18.0,0.0069,0.0093,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,3,0.8677,610.0,0.913,0.8671,0.8261,0.0078,0.5073,0.1005,0.1152,9.0,0.007,0.0091,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,large,semantic_seg/kvasir_large,4,0.8646,988.0,0.9168,0.8633,0.3423,0.0077,0.5031,0.0986,0.1015,15.0,0.0069,0.0088,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,0,0.8193,445.0,0.8914,0.8199,0.7683,0.0107,0.5035,0.1049,0.1402,15.0,0.0097,0.0137,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,1,0.8377,355.0,0.8946,0.8379,0.8035,0.0115,0.5057,0.1021,0.1423,12.0,0.0102,0.0168,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,2,0.8571,584.0,0.9012,0.8574,0.8322,0.0112,0.5102,0.0995,0.134,20.0,0.0097,0.0145,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,3,0.8582,715.0,0.9046,0.8574,0.831,0.0116,0.508,0.0943,0.1117,25.0,0.0102,0.0141,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,medium,semantic_seg/kvasir_medium,4,0.8284,681.0,0.9012,0.8306,0.7943,0.011,0.5016,0.1005,0.1578,24.0,0.0095,0.0144,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,0,0.7306,206.0,0.8932,0.7301,0.6531,0.0771,0.5673,0.1049,0.1575,54.0,0.0073,0.0104,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,1,0.7201,194.0,0.8489,0.7214,0.5772,0.0761,0.561,0.109,0.1409,52.0,0.0065,0.0074,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,2,0.7303,161.0,0.8431,0.7296,0.5164,0.0766,0.5649,0.1087,0.1353,42.0,0.0077,0.0079,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,3,0.7326,179.0,0.8636,0.7325,0.5796,0.0778,0.5823,0.1246,0.2541,45.0,0.0069,0.0208,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/1,4,0.7401,158.0,0.8606,0.7403,0.6469,0.0748,0.5655,0.1271,0.1723,40.0,0.0066,0.0109,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,0,0.671,162.0,0.7872,0.6703,0.6039,0.0722,0.5626,0.105,0.1742,42.0,0.0078,0.0117,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,1,0.5698,177.0,0.7721,0.5685,0.5091,0.0758,0.5653,0.3687,0.5238,47.0,0.0065,0.0081,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,2,0.7105,172.0,0.7801,0.7098,0.3588,0.0738,0.5685,0.129,0.1274,45.0,0.0089,0.0102,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,3,0.6509,170.0,0.8044,0.6484,0.5647,0.0722,0.561,0.2576,0.5287,45.0,0.0066,0.0075,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/2,4,0.6196,170.0,0.7935,0.6205,0.6269,0.0746,0.5676,0.1027,0.1221,44.0,0.0069,0.0105,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,0,0.6342,167.0,0.7678,0.6341,0.5696,0.0784,0.5689,0.105,0.1447,43.0,0.0064,0.0082,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,1,0.649,183.0,0.8152,0.649,0.495,0.0785,0.5688,0.1059,0.111,48.0,0.0072,0.0087,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,2,0.7099,198.0,0.7984,0.7092,0.6127,0.0773,0.5655,0.1076,0.157,53.0,0.0057,0.0093,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,3,0.6661,155.0,0.7612,0.6674,0.5805,0.079,0.5622,0.1064,0.1133,40.0,0.005,0.0057,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_Lite-HRNet-x-mod3_OCR,small,semantic_seg/kvasir_small/3,4,0.6581,156.0,0.7991,0.6572,0.5777,0.0782,0.5733,0.1085,0.1292,40.0,0.0053,0.0085,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,0,0.9033,2007.0,0.9432,0.903,0.9006,0.009,0.3349,0.0657,0.052,49.0,0.0069,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,1,0.9008,1077.0,0.9405,0.9007,0.8984,0.0081,0.3339,0.0641,0.055,26.0,0.0069,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,2,0.9079,1317.0,0.937,0.9085,0.9062,0.0086,0.334,0.0655,0.052,32.0,0.0071,0.0078,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,3,0.9044,1117.0,0.9411,0.9029,0.9042,0.0082,0.3342,0.0664,0.0509,27.0,0.0069,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,large,semantic_seg/kvasir_large,4,0.9121,1115.0,0.9362,0.9112,0.9099,0.0084,0.3332,0.0656,0.0522,27.0,0.0069,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,0,0.8796,1085.0,0.9233,0.8797,0.8799,0.0122,0.3369,0.0638,0.0536,70.0,0.0096,0.0111,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,1,0.8653,648.0,0.9189,0.8656,0.8602,0.0116,0.336,0.0666,0.05,41.0,0.0096,0.0107,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,2,0.8613,449.0,0.9084,0.8615,0.8667,0.0117,0.3364,0.0651,0.053,28.0,0.0099,0.0109,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,3,0.8543,583.0,0.9104,0.8536,0.8514,0.0113,0.3357,0.0656,0.0523,37.0,0.0094,0.0108,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,medium,semantic_seg/kvasir_medium,4,0.877,585.0,0.9134,0.8769,0.8738,0.0118,0.3368,0.0643,0.0505,37.0,0.0101,0.0115,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,0,0.7734,139.0,0.8812,0.7707,0.7799,0.0767,0.403,0.0679,0.0525,48.0,0.0082,0.0091,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,1,0.7491,110.0,0.8877,0.7502,0.7095,0.0741,0.4001,0.0676,0.0553,35.0,0.0083,0.0089,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,2,0.7478,115.0,0.8615,0.746,0.7516,0.075,0.4005,0.0676,0.0496,38.0,0.0081,0.0091,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,3,0.7425,134.0,0.8528,0.7403,0.7233,0.0755,0.4022,0.0667,0.0541,45.0,0.0072,0.0086,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/1,4,0.7734,147.0,0.8696,0.7728,0.7659,0.0758,0.4017,0.0654,0.0486,49.0,0.009,0.0103,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,0,0.7376,117.0,0.799,0.7341,0.5732,0.0719,0.3981,0.0636,0.0543,38.0,0.0078,0.0102,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,1,0.7509,131.0,0.7943,0.7517,0.4854,0.0703,0.3956,0.0647,0.048,44.0,0.0076,0.0086,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,2,0.7468,152.0,0.8128,0.7459,0.6961,0.0738,0.3999,0.0681,0.0533,52.0,0.0072,0.0093,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,3,0.6929,153.0,0.7838,0.6924,0.6953,0.0729,0.3984,0.0683,0.0508,54.0,0.0071,0.0082,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/2,4,0.7259,122.0,0.7905,0.7243,0.4971,0.074,0.4008,0.066,0.0488,39.0,0.0083,0.0093,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,0,0.7671,161.0,0.8141,0.7662,0.7505,0.0774,0.4031,0.067,0.0523,55.0,0.006,0.007,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,1,0.7283,103.0,0.798,0.7272,0.7093,0.077,0.403,0.0645,0.0536,33.0,0.0074,0.0092,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,2,0.7893,152.0,0.8086,0.7905,0.7677,0.0783,0.4047,0.0668,0.0524,51.0,0.0068,0.0086,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,3,0.7313,117.0,0.7908,0.7288,0.7343,0.0771,0.4033,0.0651,0.0546,38.0,0.0057,0.0067,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_B,small,semantic_seg/kvasir_small/3,4,0.7683,264.0,0.8097,0.7664,0.7479,0.0771,0.4038,0.068,0.0514,95.0,0.0068,0.0082,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,0,0.8633,705.0,0.9361,0.8617,0.8538,0.0083,0.194,0.0442,0.0382,29.0,0.0068,0.0073,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,1,0.8911,1238.0,0.936,0.8909,0.8866,0.008,0.193,0.0456,0.0377,52.0,0.0067,0.0073,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,2,0.9004,869.0,0.9391,0.9001,0.9001,0.0083,0.1938,0.0448,0.0375,36.0,0.0068,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,3,0.8907,1260.0,0.9379,0.8908,0.8964,0.008,0.1929,0.0442,0.0399,53.0,0.0067,0.0073,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,large,semantic_seg/kvasir_large,4,0.91,983.0,0.9373,0.9071,0.9066,0.0082,0.1935,0.0465,0.0393,41.0,0.0068,0.0074,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,0,0.8448,524.0,0.9181,0.8445,0.8455,0.012,0.197,0.0447,0.0416,56.0,0.0098,0.0111,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,1,0.8736,578.0,0.9182,0.8725,0.8673,0.0113,0.1958,0.0453,0.0375,63.0,0.0094,0.0105,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,2,0.8592,387.0,0.9152,0.8581,0.8581,0.0117,0.1978,0.0473,0.0401,40.0,0.0097,0.0109,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,3,0.8626,411.0,0.9197,0.861,0.8669,0.0127,0.1991,0.046,0.038,43.0,0.01,0.0113,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,medium,semantic_seg/kvasir_medium,4,0.8255,278.0,0.9046,0.8229,0.8157,0.0111,0.1959,0.0424,0.0379,29.0,0.0092,0.0105,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,0,0.7656,86.0,0.8445,0.7648,0.7539,0.0729,0.2579,0.0452,0.0381,44.0,0.0062,0.0062,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,1,0.771,99.0,0.864,0.7721,0.7453,0.0753,0.2596,0.0436,0.0386,52.0,0.009,0.0092,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,2,0.7335,74.0,0.8158,0.7338,0.7184,0.0715,0.2555,0.0452,0.04,38.0,0.007,0.007,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,3,0.7582,92.0,0.8628,0.7584,0.745,0.0753,0.2598,0.0446,0.0389,48.0,0.0082,0.0089,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/1,4,0.7002,70.0,0.8079,0.6977,0.6878,0.0746,0.2592,0.0459,0.0369,34.0,0.006,0.0064,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,0,0.7155,69.0,0.7652,0.7173,0.6903,0.075,0.26,0.0445,0.0381,33.0,0.0093,0.0097,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,1,0.7301,74.0,0.8056,0.7294,0.7095,0.0742,0.2588,0.0478,0.0393,37.0,0.0073,0.0074,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,2,0.6608,68.0,0.8189,0.6639,0.6428,0.0726,0.2585,0.0482,0.044,33.0,0.0073,0.0074,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,3,0.7153,71.0,0.8182,0.7152,0.7065,0.0724,0.2582,0.0454,0.0404,34.0,0.0085,0.0082,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/2,4,0.7168,68.0,0.7834,0.7174,0.6527,0.0697,0.2542,0.0452,0.0388,33.0,0.0092,0.0094,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,0,0.7554,98.0,0.8098,0.7558,0.7314,0.0761,0.2605,0.0462,0.0402,54.0,0.0074,0.0077,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,1,0.7202,78.0,0.8055,0.7215,0.7111,0.0771,0.262,0.0452,0.0392,39.0,0.0082,0.0082,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,2,0.7071,74.0,0.801,0.7079,0.6661,0.0756,0.2604,0.0441,0.0404,38.0,0.0078,0.0081,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,3,0.7466,90.0,0.817,0.7469,0.7153,0.0768,0.2613,0.0446,0.0398,47.0,0.0066,0.0072,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_s,small,semantic_seg/kvasir_small/3,4,0.715,85.0,0.7978,0.7166,0.6983,0.077,0.2613,0.0453,0.0391,44.0,0.006,0.0065,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,0,0.8817,932.0,0.9394,0.8818,0.8925,0.0081,0.1643,0.0367,0.0357,45.0,0.0066,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,1,0.8938,786.0,0.9344,0.8939,0.8948,0.0082,0.1631,0.037,0.0349,38.0,0.0066,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,2,0.8881,547.0,0.9291,0.883,0.8896,0.0082,0.1639,0.0359,0.0341,26.0,0.0069,0.0079,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,3,0.8913,604.0,0.9264,0.8904,0.8995,0.0081,0.1627,0.0356,0.0342,29.0,0.007,0.0079,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,large,semantic_seg/kvasir_large,4,0.8689,1245.0,0.9428,0.8668,0.8677,0.0083,0.1631,0.0371,0.0349,61.0,0.0068,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,0,0.8345,262.0,0.9157,0.8332,0.8416,0.0115,0.1664,0.0353,0.0345,30.0,0.0098,0.0113,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,1,0.8471,677.0,0.9252,0.8461,0.8434,0.0114,0.1663,0.0367,0.0359,81.0,0.0097,0.0112,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,2,0.8182,486.0,0.9177,0.8164,0.7874,0.0113,0.1663,0.0368,0.0355,58.0,0.0095,0.011,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,3,0.8364,582.0,0.9235,0.8358,0.836,0.0114,0.1663,0.0376,0.0351,70.0,0.0095,0.0108,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,medium,semantic_seg/kvasir_medium,4,0.8308,322.0,0.9179,0.8313,0.8229,0.0115,0.1675,0.0385,0.0377,37.0,0.0099,0.0112,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,0,0.7225,60.0,0.7971,0.7227,0.7205,0.0748,0.2309,0.0377,0.0376,34.0,0.0063,0.008,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,1,0.7217,97.0,0.8236,0.7229,0.6924,0.0743,0.2293,0.0354,0.0345,64.0,0.007,0.0072,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,2,0.7362,83.0,0.8292,0.7364,0.736,0.0753,0.2304,0.0374,0.0361,53.0,0.0074,0.008,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,3,0.7161,77.0,0.8131,0.7172,0.707,0.0756,0.2318,0.0381,0.0358,48.0,0.0078,0.0081,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/1,4,0.6852,60.0,0.8104,0.6847,0.6688,0.076,0.2317,0.0399,0.0366,33.0,0.0065,0.0076,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,0,0.697,64.0,0.7849,0.6963,0.6932,0.0718,0.2267,0.0357,0.0341,38.0,0.0087,0.0091,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,1,0.7094,86.0,0.8268,0.7108,0.7089,0.074,0.2293,0.038,0.0355,55.0,0.0085,0.0086,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,2,0.6824,65.0,0.7354,0.6843,0.6884,0.0738,0.2284,0.0376,0.0335,38.0,0.0081,0.0081,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,3,0.6808,79.0,0.7172,0.6822,0.6802,0.0711,0.2257,0.0361,0.0358,51.0,0.0062,0.0067,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/2,4,0.6915,90.0,0.774,0.6867,0.6769,0.072,0.2279,0.0368,0.0372,59.0,0.0092,0.01,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,0,0.7089,76.0,0.8351,0.7057,0.7012,0.0759,0.231,0.0392,0.035,48.0,0.0069,0.0072,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,1,0.6917,76.0,0.81,0.6942,0.6735,0.0786,0.2338,0.0382,0.0351,46.0,0.0055,0.0064,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,2,0.6872,62.0,0.8289,0.6874,0.6674,0.0792,0.2348,0.0382,0.0369,35.0,0.0053,0.0059,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,3,0.6815,62.0,0.779,0.6803,0.6272,0.0777,0.2324,0.0362,0.0335,36.0,0.007,0.008,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,semantic_segmentation,Custom_Semantic_Segmentation_SegNext_t,small,semantic_seg/kvasir_small/3,4,0.7114,76.0,0.8191,0.7112,0.6655,0.0766,0.2311,0.0361,0.0364,47.0,0.0075,0.0074,,,,,,,,,,,,,20240408-145214,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,0,,1070.0,0.8512,,,0.0495,0.114,0.0078,0.0104,37.0,0.0026,0.0022,,,,,,,,,,0.8447,0.8447,0.844,20240405-214529,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-064ddede-0883-9a5a-934c-962630325a1c)",3c27d4313dab,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,single_label_classification,Custom_Image_Classification_DeiT-Tiny,large,classification/single_label/multiclass_food101_large,1,,635.0,0.834,,,0.0497,0.1138,0.0077,0.0105,25.0,0.0018,0.0019,,,,,,,,,,0.8352,0.8337,0.8358,20240405-214529,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-7a6647c9-6ca8-8b98-31d5-3c990429ff90)
@@ -1889,123 +1009,1403 @@ GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)"
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
 1.6.0,tiling_instance_segmentation,Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16,small,tiling_instance_seg/vitens_aeromonas_small/3,4,,196.0,0.898,,,0.0055,0.1991,1.3638,0.1493,27.0,0.0007,0.0066,0.9449,0.0,0.9004,0.8474,0.0,0.8474,0.8935,0.0,0.8731,,,,20240408-144759,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
 GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,large,visual_prompting/Vitens-Coliform-coco,0,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,large,visual_prompting/Vitens-Coliform-coco,1,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,large,visual_prompting/Vitens-Coliform-coco,2,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,large,visual_prompting/Vitens-Coliform-coco,3,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,large,visual_prompting/Vitens-Coliform-coco,4,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,medium,visual_prompting/coco_car_person_medium,0,0.9283,151.0,0.9152,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,medium,visual_prompting/coco_car_person_medium,1,0.9247,116.0,0.9144,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,medium,visual_prompting/coco_car_person_medium,2,0.9369,97.0,0.9169,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,medium,visual_prompting/coco_car_person_medium,3,0.9341,219.0,0.9199,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,medium,visual_prompting/coco_car_person_medium,4,0.9315,114.0,0.9179,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/1,0,0.9389,76.0,0.9221,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/1,1,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/1,2,0.941,69.0,0.9216,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/1,3,0.9414,60.0,0.9205,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/1,4,0.9416,110.0,0.9227,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/2,0,0.9371,96.0,0.9125,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/2,1,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/2,2,0.939,84.0,0.913,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/2,3,0.9401,118.0,0.9139,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/2,4,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/3,0,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/3,1,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/3,2,0.9383,52.0,0.9138,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/3,3,0.9403,118.0,0.9186,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_Tiny_ViT,small,visual_prompting/wgisd_small/3,4,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,large,visual_prompting/Vitens-Coliform-coco,0,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,large,visual_prompting/Vitens-Coliform-coco,1,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,large,visual_prompting/Vitens-Coliform-coco,2,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,large,visual_prompting/Vitens-Coliform-coco,3,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,large,visual_prompting/Vitens-Coliform-coco,4,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,medium,visual_prompting/coco_car_person_medium,0,0.9195,324.0,0.9151,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,medium,visual_prompting/coco_car_person_medium,1,0.9319,457.0,0.9198,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,medium,visual_prompting/coco_car_person_medium,2,0.9367,411.0,0.9202,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,medium,visual_prompting/coco_car_person_medium,3,0.9388,277.0,0.9219,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,medium,visual_prompting/coco_car_person_medium,4,0.9258,322.0,0.9189,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,small,visual_prompting/wgisd_small/1,0,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,small,visual_prompting/wgisd_small/1,1,0.9516,196.0,0.9326,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,small,visual_prompting/wgisd_small/1,2,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,small,visual_prompting/wgisd_small/1,3,0.9511,77.0,0.9334,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,small,visual_prompting/wgisd_small/1,4,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
-GPU 1: NVIDIA GeForce RTX 3090 (UUID: GPU-3f62614b-2618-9e2e-c8ed-fed7c7141571)",6fefbee0f4d4,383e8ea,Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz,1.6.0,goodsong81
-1.6.0,visual_prompting,Visual_Prompting_SAM_ViT_B,small,visual_prompting/wgisd_small/2,0,,,,,,,,,,,,,,,,,,,,,,,,,20240409-111747,test/add-perf-vsp-act-v1,"GPU 0: NVIDIA GeForce RTX 3090 (UUID: GPU-ade58e12-4e2e-548c-e3db-b31d442cc38a)
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diff --git a/tests/perf/history/v2.0.0/perf-benchmark-raw-all.csv b/tests/perf/history/v2.0.0/perf-benchmark-raw-all.csv
new file mode 100644
index 00000000000..4aca0196c21
--- /dev/null
+++ b/tests/perf/history/v2.0.0/perf-benchmark-raw-all.csv
@@ -0,0 +1,14369 @@
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diff --git a/tests/perf/history/v2.1.0/perf-benchmark-raw-all.csv b/tests/perf/history/v2.1.0/perf-benchmark-raw-all.csv
new file mode 100644
index 00000000000..bf5235effda
--- /dev/null
+++ b/tests/perf/history/v2.1.0/perf-benchmark-raw-all.csv
@@ -0,0 +1,17365 @@
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diff --git a/tests/perf/history/v2.2.0/perf-benchmark-raw-all.csv b/tests/perf/history/v2.2.0/perf-benchmark-raw-all.csv
new file mode 100644
index 00000000000..c0bae17228a
--- /dev/null
+++ b/tests/perf/history/v2.2.0/perf-benchmark-raw-all.csv
@@ -0,0 +1,22877 @@
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