Final_Yolo_V7.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "19W_A8fe-V59euzm3e8F3eNgxP3ufeF58",
      "authorship_tag": "ABX9TyO/4FDGy8xxJDYQC22MLfN/",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/MuhammadEmmadSiddiqui/ML-Models/blob/main/Final_Yolo_V7.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SoxW8tYZKJn5",
        "outputId": "700cf0e0-7c61-43af-9ef4-66ed3e283c30"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive\n"
          ]
        }
      ],
      "source": [
        "%cd /content/drive/MyDrive"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pwd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bMda_Kv_KqH-",
        "outputId": "3d70f9ed-c11e-44da-dbf2-1034a18d766e"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "if not os.path.isdir(\"TheCodingBug\"):\n",
        "  os.makedirs(\"TheCodingBug\")"
      ],
      "metadata": {
        "id": "nEvcs73FKsnl"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%cd TheCodingBug"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zoDX1bzLLIiG",
        "outputId": "edca6a9f-35d9-41b8-dd14-945d7b7b4765"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/TheCodingBug\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pwd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "41f1ASn7LYVv",
        "outputId": "e28bf62c-846a-4a41-b09b-588743812f2a"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/TheCodingBug\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/WongKinYiu/yolov7.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C7-IQdT8LaGf",
        "outputId": "82ed2380-b189-414b-cf58-b91c94a35681"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'yolov7'...\n",
            "remote: Enumerating objects: 1127, done.\u001b[K\n",
            "remote: Total 1127 (delta 0), reused 0 (delta 0), pack-reused 1127\u001b[K\n",
            "Receiving objects: 100% (1127/1127), 69.94 MiB | 17.64 MiB/s, done.\n",
            "Resolving deltas: 100% (519/519), done.\n",
            "Updating files: 100% (104/104), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd yolov7"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7yUlKnTrLt1t",
        "outputId": "09836068-1b1a-4901-9b4e-23d317476a54"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/TheCodingBug/yolov7\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sMAi3JotMH3G",
        "outputId": "89125b4e-9a59-4621-931d-a4b25e15916c"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2023-01-25 13:49:21--  https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt\n",
            "Resolving github.com (github.com)... 140.82.121.4\n",
            "Connecting to github.com (github.com)|140.82.121.4|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/511187726/b0243edf-9fb0-4337-95e1-42555f1b37cf?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20230125%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230125T134921Z&X-Amz-Expires=300&X-Amz-Signature=022fdc2a35bb91e1b39a6cadb2a9be39347508b1b1d3188fbb454258a0ac7bee&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=511187726&response-content-disposition=attachment%3B%20filename%3Dyolov7.pt&response-content-type=application%2Foctet-stream [following]\n",
            "--2023-01-25 13:49:21--  https://objects.githubusercontent.com/github-production-release-asset-2e65be/511187726/b0243edf-9fb0-4337-95e1-42555f1b37cf?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20230125%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230125T134921Z&X-Amz-Expires=300&X-Amz-Signature=022fdc2a35bb91e1b39a6cadb2a9be39347508b1b1d3188fbb454258a0ac7bee&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=511187726&response-content-disposition=attachment%3B%20filename%3Dyolov7.pt&response-content-type=application%2Foctet-stream\n",
            "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 75587165 (72M) [application/octet-stream]\n",
            "Saving to: ‘yolov7.pt’\n",
            "\n",
            "yolov7.pt           100%[===================>]  72.08M  23.0MB/s    in 3.1s    \n",
            "\n",
            "2023-01-25 13:49:24 (23.0 MB/s) - ‘yolov7.pt’ saved [75587165/75587165]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pwd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UjZkXjdnMKv_",
        "outputId": "ca75364f-fd7d-425e-9013-406e1bf02fca"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/TheCodingBug/yolov7\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python detect.py --weights yolov7.pt --conf 0.5 --img-size 640 --source IMG_20220823_111446.jpg"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jCIp4SsQSaHg",
        "outputId": "2c19150a-379e-44de-eb96-880dbf2c1125"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.5, device='', exist_ok=False, img_size=640, iou_thres=0.45, name='exp', no_trace=False, nosave=False, project='runs/detect', save_conf=False, save_txt=False, source='IMG_20220823_111446.jpg', update=False, view_img=False, weights=['yolov7.pt'])\n",
            "YOLOR 🚀 v0.1-121-g2fdc7f1 torch 1.13.1+cu116 CUDA:0 (Tesla T4, 15109.875MB)\n",
            "\n",
            "Fusing layers... \n",
            "RepConv.fuse_repvgg_block\n",
            "RepConv.fuse_repvgg_block\n",
            "RepConv.fuse_repvgg_block\n",
            "Model Summary: 306 layers, 36905341 parameters, 6652669 gradients\n",
            " Convert model to Traced-model... \n",
            " traced_script_module saved! \n",
            " model is traced! \n",
            "\n",
            "/usr/local/lib/python3.8/dist-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3190.)\n",
            "  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n",
            "4 persons, 3 ties, Done. (18.7ms) Inference, (39.6ms) NMS\n",
            " The output with the result is saved in: runs/detect/exp/IMG_20220823_111446.jpg\n",
            "Done. (1.508s)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pwd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AdE6udWCS43t",
        "outputId": "1ee81daf-2ba7-4496-ba60-03a149eefc37"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/TheCodingBug/yolov7\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python train.py --device 0 --batch-size 16 --epochs 100 --img 640 640 --data data/custom_data.yaml --hyp data/hyp.scratch.custom.yaml --cfg cfg/training/yolov7-custom.yaml --weights yolov7.pt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7Hx_0o8rayIy",
        "outputId": "fcd9bd63-54e0-438c-ee63-f20060a55399"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "YOLOR 🚀 v0.1-121-g2fdc7f1 torch 1.13.1+cu116 CUDA:0 (Tesla T4, 15109.875MB)\n",
            "\n",
            "Namespace(adam=False, artifact_alias='latest', batch_size=16, bbox_interval=-1, bucket='', cache_images=False, cfg='cfg/training/yolov7-custom.yaml', data='data/custom_data.yaml', device='0', entity=None, epochs=100, evolve=False, exist_ok=False, freeze=[0], global_rank=-1, hyp='data/hyp.scratch.custom.yaml', image_weights=False, img_size=[640, 640], label_smoothing=0.0, linear_lr=False, local_rank=-1, multi_scale=False, name='exp', noautoanchor=False, nosave=False, notest=False, project='runs/train', quad=False, rect=False, resume=False, save_dir='runs/train/exp', save_period=-1, single_cls=False, sync_bn=False, total_batch_size=16, upload_dataset=False, v5_metric=False, weights='yolov7.pt', workers=8, world_size=1)\n",
            "\u001b[34m\u001b[1mtensorboard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
            "\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.1, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.3, cls_pw=1.0, obj=0.7, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.2, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, paste_in=0.0, loss_ota=1\n",
            "\u001b[34m\u001b[1mwandb: \u001b[0mInstall Weights & Biases for YOLOR logging with 'pip install wandb' (recommended)\n",
            "\n",
            "                 from  n    params  module                                  arguments                     \n",
            "  0                -1  1       928  models.common.Conv                      [3, 32, 3, 1]                 \n",
            "  1                -1  1     18560  models.common.Conv                      [32, 64, 3, 2]                \n",
            "  2                -1  1     36992  models.common.Conv                      [64, 64, 3, 1]                \n",
            "  3                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]               \n",
            "  4                -1  1      8320  models.common.Conv                      [128, 64, 1, 1]               \n",
            "  5                -2  1      8320  models.common.Conv                      [128, 64, 1, 1]               \n",
            "  6                -1  1     36992  models.common.Conv                      [64, 64, 3, 1]                \n",
            "  7                -1  1     36992  models.common.Conv                      [64, 64, 3, 1]                \n",
            "  8                -1  1     36992  models.common.Conv                      [64, 64, 3, 1]                \n",
            "  9                -1  1     36992  models.common.Conv                      [64, 64, 3, 1]                \n",
            " 10  [-1, -3, -5, -6]  1         0  models.common.Concat                    [1]                           \n",
            " 11                -1  1     66048  models.common.Conv                      [256, 256, 1, 1]              \n",
            " 12                -1  1         0  models.common.MP                        []                            \n",
            " 13                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 14                -3  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 15                -1  1    147712  models.common.Conv                      [128, 128, 3, 2]              \n",
            " 16          [-1, -3]  1         0  models.common.Concat                    [1]                           \n",
            " 17                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 18                -2  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 19                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 20                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 21                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 22                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 23  [-1, -3, -5, -6]  1         0  models.common.Concat                    [1]                           \n",
            " 24                -1  1    263168  models.common.Conv                      [512, 512, 1, 1]              \n",
            " 25                -1  1         0  models.common.MP                        []                            \n",
            " 26                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 27                -3  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 28                -1  1    590336  models.common.Conv                      [256, 256, 3, 2]              \n",
            " 29          [-1, -3]  1         0  models.common.Concat                    [1]                           \n",
            " 30                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 31                -2  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 32                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 33                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 34                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 35                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 36  [-1, -3, -5, -6]  1         0  models.common.Concat                    [1]                           \n",
            " 37                -1  1   1050624  models.common.Conv                      [1024, 1024, 1, 1]            \n",
            " 38                -1  1         0  models.common.MP                        []                            \n",
            " 39                -1  1    525312  models.common.Conv                      [1024, 512, 1, 1]             \n",
            " 40                -3  1    525312  models.common.Conv                      [1024, 512, 1, 1]             \n",
            " 41                -1  1   2360320  models.common.Conv                      [512, 512, 3, 2]              \n",
            " 42          [-1, -3]  1         0  models.common.Concat                    [1]                           \n",
            " 43                -1  1    262656  models.common.Conv                      [1024, 256, 1, 1]             \n",
            " 44                -2  1    262656  models.common.Conv                      [1024, 256, 1, 1]             \n",
            " 45                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 46                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 47                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 48                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 49  [-1, -3, -5, -6]  1         0  models.common.Concat                    [1]                           \n",
            " 50                -1  1   1050624  models.common.Conv                      [1024, 1024, 1, 1]            \n",
            " 51                -1  1   7609344  models.common.SPPCSPC                   [1024, 512, 1]                \n",
            " 52                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 53                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
            " 54                37  1    262656  models.common.Conv                      [1024, 256, 1, 1]             \n",
            " 55          [-1, -2]  1         0  models.common.Concat                    [1]                           \n",
            " 56                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 57                -2  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 58                -1  1    295168  models.common.Conv                      [256, 128, 3, 1]              \n",
            " 59                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 60                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 61                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 62[-1, -2, -3, -4, -5, -6]  1         0  models.common.Concat                    [1]                           \n",
            " 63                -1  1    262656  models.common.Conv                      [1024, 256, 1, 1]             \n",
            " 64                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 65                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n",
            " 66                24  1     65792  models.common.Conv                      [512, 128, 1, 1]              \n",
            " 67          [-1, -2]  1         0  models.common.Concat                    [1]                           \n",
            " 68                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 69                -2  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n",
            " 70                -1  1     73856  models.common.Conv                      [128, 64, 3, 1]               \n",
            " 71                -1  1     36992  models.common.Conv                      [64, 64, 3, 1]                \n",
            " 72                -1  1     36992  models.common.Conv                      [64, 64, 3, 1]                \n",
            " 73                -1  1     36992  models.common.Conv                      [64, 64, 3, 1]                \n",
            " 74[-1, -2, -3, -4, -5, -6]  1         0  models.common.Concat                    [1]                           \n",
            " 75                -1  1     65792  models.common.Conv                      [512, 128, 1, 1]              \n",
            " 76                -1  1         0  models.common.MP                        []                            \n",
            " 77                -1  1     16640  models.common.Conv                      [128, 128, 1, 1]              \n",
            " 78                -3  1     16640  models.common.Conv                      [128, 128, 1, 1]              \n",
            " 79                -1  1    147712  models.common.Conv                      [128, 128, 3, 2]              \n",
            " 80      [-1, -3, 63]  1         0  models.common.Concat                    [1]                           \n",
            " 81                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 82                -2  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n",
            " 83                -1  1    295168  models.common.Conv                      [256, 128, 3, 1]              \n",
            " 84                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 85                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 86                -1  1    147712  models.common.Conv                      [128, 128, 3, 1]              \n",
            " 87[-1, -2, -3, -4, -5, -6]  1         0  models.common.Concat                    [1]                           \n",
            " 88                -1  1    262656  models.common.Conv                      [1024, 256, 1, 1]             \n",
            " 89                -1  1         0  models.common.MP                        []                            \n",
            " 90                -1  1     66048  models.common.Conv                      [256, 256, 1, 1]              \n",
            " 91                -3  1     66048  models.common.Conv                      [256, 256, 1, 1]              \n",
            " 92                -1  1    590336  models.common.Conv                      [256, 256, 3, 2]              \n",
            " 93      [-1, -3, 51]  1         0  models.common.Concat                    [1]                           \n",
            " 94                -1  1    525312  models.common.Conv                      [1024, 512, 1, 1]             \n",
            " 95                -2  1    525312  models.common.Conv                      [1024, 512, 1, 1]             \n",
            " 96                -1  1   1180160  models.common.Conv                      [512, 256, 3, 1]              \n",
            " 97                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 98                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            " 99                -1  1    590336  models.common.Conv                      [256, 256, 3, 1]              \n",
            "100[-1, -2, -3, -4, -5, -6]  1         0  models.common.Concat                    [1]                           \n",
            "101                -1  1   1049600  models.common.Conv                      [2048, 512, 1, 1]             \n",
            "102                75  1    328704  models.common.RepConv                   [128, 256, 3, 1]              \n",
            "103                88  1   1312768  models.common.RepConv                   [256, 512, 3, 1]              \n",
            "104               101  1   5246976  models.common.RepConv                   [512, 1024, 3, 1]             \n",
            "105   [102, 103, 104]  1     39550  models.yolo.IDetect                     [2, [[12, 16, 19, 36, 40, 28], [36, 75, 76, 55, 72, 146], [142, 110, 192, 243, 459, 401]], [256, 512, 1024]]\n",
            "Model Summary: 415 layers, 37201950 parameters, 37201950 gradients\n",
            "\n",
            "Transferred 552/566 items from yolov7.pt\n",
            "Scaled weight_decay = 0.0005\n",
            "Optimizer groups: 95 .bias, 95 conv.weight, 98 other\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning 'data/train/labels' images and labels... 30 found, 0 missing, 0 empty, 0 corrupted:   6% 30/486 [00:15<02:23,  3.19it/s]\u001b[34m\u001b[1mtrain: \u001b[0mWARNING: Ignoring corrupted image and/or label data/train/images/474_png.rf.48979575e2f14e457d9f93598c10d8a8.jpg: duplicate labels\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning 'data/train/labels' images and labels... 31 found, 0 missing, 0 empty, 1 corrupted:   6% 31/486 [00:15<02:21,  3.20it/s]\u001b[34m\u001b[1mtrain: \u001b[0mWARNING: Ignoring corrupted image and/or label data/train/images/474_png.rf.58dc5592f0eb5aed7b46c258ad698f1d.jpg: duplicate labels\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning 'data/train/labels' images and labels... 32 found, 0 missing, 0 empty, 2 corrupted:   7% 32/486 [00:16<02:20,  3.23it/s]\u001b[34m\u001b[1mtrain: \u001b[0mWARNING: Ignoring corrupted image and/or label data/train/images/474_png.rf.971f55808123e67e17fb6c0ea92ede76.jpg: duplicate labels\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning 'data/train/labels' images and labels... 486 found, 0 missing, 0 empty, 3 corrupted: 100% 486/486 [02:44<00:00,  2.95it/s]\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: data/train/labels.cache\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning 'data/valid/labels' images and labels... 46 found, 0 missing, 0 empty, 0 corrupted: 100% 46/46 [00:31<00:00,  1.48it/s]\n",
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: data/valid/labels.cache\n",
            "\n",
            "\u001b[34m\u001b[1mautoanchor: \u001b[0mAnalyzing anchors... anchors/target = 4.66, Best Possible Recall (BPR) = 0.9973\n",
            "Image sizes 640 train, 640 test\n",
            "Using 2 dataloader workers\n",
            "Logging results to runs/train/exp\n",
            "Starting training for 100 epochs...\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      0/99     5.92G   0.07834   0.04521     0.018    0.1416        24       640: 100% 31/31 [00:56<00:00,  1.83s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95:   0% 0/2 [00:00<?, ?it/s]/usr/local/lib/python3.8/dist-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3190.)\n",
            "  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:12<00:00,  6.34s/it]\n",
            "                 all          46        1827      0.0213      0.0811     0.00578     0.00126\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      1/99     11.3G   0.07277   0.05047   0.01663    0.1399        34       640: 100% 31/31 [00:31<00:00,  1.03s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.20it/s]\n",
            "                 all          46        1827      0.0684       0.103      0.0199     0.00431\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      2/99     12.7G   0.06797   0.05137   0.01511    0.1345        55       640: 100% 31/31 [00:31<00:00,  1.02s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.29it/s]\n",
            "                 all          46        1827       0.179       0.184      0.0744      0.0157\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      3/99     12.7G   0.06234   0.04523   0.01437    0.1219        25       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.26it/s]\n",
            "                 all          46        1827       0.253       0.291       0.157      0.0482\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      4/99     12.7G   0.05729   0.04372   0.01324    0.1143        44       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.37it/s]\n",
            "                 all          46        1827       0.301       0.297       0.179      0.0688\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      5/99     12.7G   0.05872     0.048   0.01344    0.1202        24       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.38it/s]\n",
            "                 all          46        1827       0.289       0.328       0.175      0.0567\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      6/99     12.7G   0.05636   0.04589    0.0131    0.1153        45       640: 100% 31/31 [00:33<00:00,  1.08s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.39it/s]\n",
            "                 all          46        1827       0.318       0.356       0.199      0.0574\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      7/99     12.7G   0.05417   0.04355   0.01271    0.1104        33       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.35it/s]\n",
            "                 all          46        1827         0.3       0.333       0.186      0.0551\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      8/99     12.7G   0.05391   0.04463   0.01256    0.1111        18       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.45it/s]\n",
            "                 all          46        1827       0.403       0.379        0.26       0.123\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "      9/99     12.7G   0.05171   0.04495   0.01255    0.1092       196       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.38it/s]\n",
            "                 all          46        1827        0.44       0.378       0.298       0.134\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     10/99     12.7G   0.04993   0.04333   0.01131    0.1046        27       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.38it/s]\n",
            "                 all          46        1827       0.444        0.43       0.318       0.152\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     11/99     12.7G   0.05021   0.04658   0.01078    0.1076        79       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.41it/s]\n",
            "                 all          46        1827       0.379       0.393       0.268       0.123\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     12/99     12.7G   0.04816   0.04101   0.01041   0.09958        30       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.44it/s]\n",
            "                 all          46        1827       0.466       0.445       0.354       0.178\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     13/99     12.7G   0.04931   0.04752   0.01027    0.1071       201       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.36it/s]\n",
            "                 all          46        1827       0.495       0.446       0.352        0.15\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     14/99     12.7G   0.04945    0.0441  0.009715    0.1033        68       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.46it/s]\n",
            "                 all          46        1827       0.476       0.449       0.358       0.182\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     15/99     12.7G   0.04674   0.04598  0.009229     0.102        21       640: 100% 31/31 [00:31<00:00,  1.02s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all          46        1827        0.54       0.451       0.368       0.195\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     16/99     12.7G   0.04734   0.03912  0.008982   0.09544        18       640: 100% 31/31 [00:30<00:00,  1.00it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.41it/s]\n",
            "                 all          46        1827        0.46       0.449        0.34       0.167\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     17/99     12.7G   0.04785   0.04338  0.009375    0.1006        25       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.37it/s]\n",
            "                 all          46        1827        0.45       0.414       0.315       0.139\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     18/99     12.7G   0.04895   0.04682  0.008932    0.1047        31       640: 100% 31/31 [00:33<00:00,  1.09s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.43it/s]\n",
            "                 all          46        1827       0.486       0.449       0.348       0.185\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     19/99     12.7G    0.0462   0.04434  0.008375   0.09891        76       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.42it/s]\n",
            "                 all          46        1827        0.51       0.475       0.376       0.185\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     20/99     12.7G   0.04623   0.03938  0.008506   0.09411        54       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.43it/s]\n",
            "                 all          46        1827       0.505       0.464       0.375       0.161\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     21/99     12.7G   0.04493   0.04095  0.008242   0.09412        45       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.47it/s]\n",
            "                 all          46        1827       0.543       0.496       0.402       0.214\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     22/99     12.7G   0.04498   0.04372  0.008024   0.09672        59       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.50it/s]\n",
            "                 all          46        1827       0.506        0.47       0.386       0.183\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     23/99     12.7G   0.04443   0.04006  0.007337   0.09183        19       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.35it/s]\n",
            "                 all          46        1827       0.558       0.484       0.398       0.226\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     24/99     12.7G   0.04474   0.04515  0.007907    0.0978       270       640: 100% 31/31 [00:31<00:00,  1.02s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.47it/s]\n",
            "                 all          46        1827       0.515        0.47        0.39       0.204\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     25/99     12.7G   0.04327   0.04272  0.007319   0.09331        46       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.50it/s]\n",
            "                 all          46        1827       0.536        0.48       0.404       0.221\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     26/99     12.7G   0.04293   0.03988  0.007018   0.08982        28       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.42it/s]\n",
            "                 all          46        1827       0.568       0.479       0.403       0.177\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     27/99     12.7G   0.04448   0.04026  0.007017   0.09176        27       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.47it/s]\n",
            "                 all          46        1827       0.525       0.464       0.385       0.202\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     28/99     12.7G   0.04392   0.03774  0.007037   0.08869        29       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.42it/s]\n",
            "                 all          46        1827       0.592       0.464       0.417       0.215\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     29/99     12.7G   0.04457   0.04332   0.00676   0.09465        32       640: 100% 31/31 [00:32<00:00,  1.06s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:02<00:00,  1.05s/it]\n",
            "                 all          46        1827       0.552       0.503       0.414       0.239\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     30/99     12.7G     0.043   0.03937  0.006724   0.08909        66       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.40it/s]\n",
            "                 all          46        1827       0.542       0.499       0.408       0.231\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     31/99     12.7G    0.0409   0.03868  0.006404   0.08599        22       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.44it/s]\n",
            "                 all          46        1827       0.603       0.499       0.416       0.228\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     32/99     12.7G   0.04088   0.04277  0.006479   0.09013        29       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.41it/s]\n",
            "                 all          46        1827       0.529       0.453       0.375       0.209\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     33/99     12.7G   0.04356   0.04501   0.00681   0.09537        56       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.40it/s]\n",
            "                 all          46        1827       0.521       0.471       0.392       0.223\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     34/99     12.7G   0.04214   0.04289  0.006529   0.09155        65       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.44it/s]\n",
            "                 all          46        1827       0.578       0.488       0.407       0.222\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     35/99     12.7G   0.04069   0.04114  0.006054   0.08788        22       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.42it/s]\n",
            "                 all          46        1827       0.569       0.502       0.421       0.237\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     36/99     12.7G   0.03992   0.03866   0.00561   0.08419        29       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all          46        1827       0.609       0.527       0.452       0.239\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     37/99     12.7G   0.03982   0.03677  0.005585   0.08218        28       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.48it/s]\n",
            "                 all          46        1827       0.603       0.494        0.44       0.245\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     38/99     12.7G      0.04   0.03884  0.005587   0.08443        53       640: 100% 31/31 [00:31<00:00,  1.03s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.50it/s]\n",
            "                 all          46        1827       0.566       0.499       0.421       0.238\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     39/99     12.7G   0.03897   0.04032    0.0064   0.08569        21       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all          46        1827       0.584       0.494       0.418       0.232\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     40/99     12.7G   0.04032   0.03948   0.00551    0.0853        70       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.45it/s]\n",
            "                 all          46        1827       0.604       0.497       0.431       0.241\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     41/99     12.7G   0.03809   0.04167  0.005254   0.08502        30       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:02<00:00,  1.13s/it]\n",
            "                 all          46        1827       0.592        0.52       0.443       0.248\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     42/99     12.7G   0.03837   0.03794  0.005087    0.0814        27       640: 100% 31/31 [00:31<00:00,  1.02s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.44it/s]\n",
            "                 all          46        1827       0.588       0.522       0.443       0.242\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     43/99     12.7G   0.03938   0.04009  0.005022    0.0845       101       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all          46        1827        0.65         0.5       0.454       0.258\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     44/99     12.7G    0.0382    0.0384  0.005143   0.08174        34       640: 100% 31/31 [00:31<00:00,  1.00s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all          46        1827       0.616       0.528       0.449       0.255\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     45/99     12.7G    0.0382   0.03523  0.004962   0.07839       117       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.47it/s]\n",
            "                 all          46        1827       0.644       0.524       0.455       0.261\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     46/99     12.7G   0.03813   0.03654  0.004813   0.07948        63       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.46it/s]\n",
            "                 all          46        1827       0.601       0.511       0.438       0.249\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     47/99     12.7G   0.03858   0.04198  0.005088   0.08565       109       640: 100% 31/31 [00:31<00:00,  1.00s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.59it/s]\n",
            "                 all          46        1827       0.626       0.529       0.452       0.257\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     48/99     12.7G   0.03659    0.0356  0.004279   0.07647        62       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all          46        1827       0.632       0.525       0.451       0.258\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     49/99     12.7G   0.03721   0.03812  0.004583   0.07992        32       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all          46        1827       0.629        0.53       0.459       0.247\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     50/99     12.7G   0.03679   0.03798  0.004143   0.07891        37       640: 100% 31/31 [00:31<00:00,  1.02s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.48it/s]\n",
            "                 all          46        1827       0.606       0.518       0.444        0.25\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     51/99     12.7G   0.03673    0.0392  0.004432   0.08036        38       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.39it/s]\n",
            "                 all          46        1827       0.622       0.526       0.457       0.255\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     52/99     12.7G   0.03653   0.03926  0.004242   0.08003        42       640: 100% 31/31 [00:30<00:00,  1.00it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.46it/s]\n",
            "                 all          46        1827       0.627       0.507       0.446       0.247\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     53/99     12.7G   0.03665   0.03703  0.004972   0.07864        61       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all          46        1827       0.579       0.526       0.453       0.252\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     54/99     12.7G    0.0354   0.03744   0.00432   0.07716       224       640: 100% 31/31 [00:34<00:00,  1.10s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all          46        1827       0.644       0.517       0.465       0.258\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     55/99     12.7G   0.03575   0.03902  0.004077   0.07886        56       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.47it/s]\n",
            "                 all          46        1827       0.585       0.528        0.45       0.257\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     56/99     12.7G   0.03526   0.03743  0.003957   0.07664        35       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.46it/s]\n",
            "                 all          46        1827       0.609       0.546        0.47       0.255\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     57/99     12.7G   0.03465   0.03785  0.003813   0.07632        37       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.61it/s]\n",
            "                 all          46        1827       0.674       0.512       0.461        0.25\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     58/99     12.7G   0.03532   0.03424  0.004068   0.07363        17       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.48it/s]\n",
            "                 all          46        1827        0.63       0.507       0.463        0.26\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     59/99     12.7G    0.0357   0.03738  0.004089   0.07717        27       640: 100% 31/31 [00:31<00:00,  1.02s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.44it/s]\n",
            "                 all          46        1827       0.627       0.562       0.485       0.271\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     60/99     12.7G   0.03461   0.03658  0.003951   0.07514        34       640: 100% 31/31 [00:30<00:00,  1.00it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all          46        1827       0.621       0.534       0.474       0.265\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     61/99     12.7G   0.03408   0.03157  0.003651    0.0693        71       640: 100% 31/31 [00:29<00:00,  1.04it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all          46        1827       0.649       0.496        0.46       0.253\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     62/99     12.7G   0.03467   0.03691  0.003565   0.07515        30       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.50it/s]\n",
            "                 all          46        1827       0.584       0.517       0.449       0.247\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     63/99     12.7G   0.03457   0.03653  0.003689   0.07479       131       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.65it/s]\n",
            "                 all          46        1827       0.654       0.503        0.46       0.254\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     64/99     12.7G   0.03375   0.03514  0.003492   0.07238        15       640: 100% 31/31 [00:29<00:00,  1.04it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all          46        1827       0.652       0.507       0.467       0.251\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     65/99     12.7G   0.03317   0.03343  0.003285   0.06988        31       640: 100% 31/31 [00:29<00:00,  1.05it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all          46        1827       0.627       0.534       0.466       0.255\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     66/99     12.7G   0.03454    0.0367  0.003725   0.07496       120       640: 100% 31/31 [00:29<00:00,  1.05it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.27it/s]\n",
            "                 all          46        1827       0.598       0.533        0.46       0.252\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     67/99     12.7G   0.03465   0.03845    0.0038    0.0769       117       640: 100% 31/31 [00:32<00:00,  1.03s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.61it/s]\n",
            "                 all          46        1827       0.615        0.54        0.47       0.257\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     68/99     12.7G    0.0326   0.03762  0.003412   0.07363        21       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all          46        1827        0.63       0.522       0.464       0.264\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     69/99     12.7G   0.03158   0.03348  0.003165   0.06822       351       640: 100% 31/31 [00:29<00:00,  1.05it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.65it/s]\n",
            "                 all          46        1827       0.627       0.553       0.476       0.272\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     70/99     12.7G   0.03172   0.03172  0.003226   0.06667       145       640: 100% 31/31 [00:29<00:00,  1.05it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all          46        1827       0.612       0.546       0.472       0.269\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     71/99     12.7G    0.0325   0.03394  0.003353   0.06979        25       640: 100% 31/31 [00:29<00:00,  1.06it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all          46        1827       0.631       0.552       0.479       0.262\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     72/99     12.7G   0.03321    0.0324   0.00328   0.06888        18       640: 100% 31/31 [00:29<00:00,  1.06it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all          46        1827       0.619       0.551       0.477       0.263\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     73/99     12.7G   0.03183   0.03329  0.003065   0.06819        30       640: 100% 31/31 [00:29<00:00,  1.06it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all          46        1827       0.616       0.531        0.46       0.253\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     74/99     12.7G   0.03351   0.03811  0.003761   0.07538        11       640: 100% 31/31 [00:29<00:00,  1.06it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.59it/s]\n",
            "                 all          46        1827       0.631       0.559       0.485       0.269\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     75/99     12.7G   0.03218   0.03761   0.00323   0.07302        14       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.60it/s]\n",
            "                 all          46        1827       0.658       0.531       0.481       0.265\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     76/99     12.7G   0.03206   0.03392  0.003129   0.06911        18       640: 100% 31/31 [00:29<00:00,  1.06it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all          46        1827       0.623        0.56       0.485       0.269\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     77/99     12.7G   0.03162   0.03627  0.003092   0.07098        81       640: 100% 31/31 [00:29<00:00,  1.05it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.69it/s]\n",
            "                 all          46        1827       0.629       0.522       0.467       0.262\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     78/99     12.7G   0.03157   0.03452  0.002923   0.06901        22       640: 100% 31/31 [00:29<00:00,  1.05it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.66it/s]\n",
            "                 all          46        1827       0.619       0.546       0.472       0.264\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     79/99     12.7G   0.03122   0.03358  0.002928   0.06773        35       640: 100% 31/31 [00:29<00:00,  1.05it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all          46        1827       0.615       0.548       0.471       0.266\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     80/99     12.7G   0.03165   0.03483  0.003059   0.06953        25       640: 100% 31/31 [00:33<00:00,  1.07s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all          46        1827        0.62       0.548       0.474       0.263\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     81/99     12.7G   0.03237    0.0365  0.003103   0.07196       212       640: 100% 31/31 [00:29<00:00,  1.04it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all          46        1827       0.668       0.525       0.481       0.271\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     82/99     12.7G   0.03087   0.03526  0.002735   0.06886        41       640: 100% 31/31 [00:29<00:00,  1.04it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all          46        1827       0.647       0.564       0.499       0.284\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     83/99     12.7G   0.03052   0.03701  0.002819   0.07036        22       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.59it/s]\n",
            "                 all          46        1827       0.629       0.566       0.492       0.275\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     84/99     12.7G   0.03111   0.03516  0.002906   0.06917        56       640: 100% 31/31 [00:29<00:00,  1.07it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.60it/s]\n",
            "                 all          46        1827       0.624        0.56       0.485       0.271\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     85/99     12.7G   0.03178   0.03732  0.002961   0.07206       115       640: 100% 31/31 [00:29<00:00,  1.05it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.63it/s]\n",
            "                 all          46        1827        0.63       0.569       0.493       0.278\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     86/99     12.7G   0.03114   0.03951  0.002857   0.07351       233       640: 100% 31/31 [00:29<00:00,  1.04it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.74it/s]\n",
            "                 all          46        1827       0.632       0.568       0.493       0.281\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     87/99     12.7G   0.02969   0.03459  0.002479   0.06676        34       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all          46        1827       0.631       0.563       0.489       0.279\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     88/99     12.7G   0.03056   0.03351  0.002927     0.067        38       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.48it/s]\n",
            "                 all          46        1827       0.645       0.562       0.496       0.271\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     89/99     12.7G   0.03045   0.03688  0.002613   0.06994        48       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.62it/s]\n",
            "                 all          46        1827       0.644       0.565       0.497        0.27\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     90/99     12.7G   0.03135    0.0358  0.002712   0.06986        11       640: 100% 31/31 [00:31<00:00,  1.00s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all          46        1827       0.633       0.566        0.49       0.273\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     91/99     12.7G   0.03115   0.03504  0.002719   0.06891        41       640: 100% 31/31 [00:30<00:00,  1.01it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.42it/s]\n",
            "                 all          46        1827       0.619       0.548       0.479        0.27\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     92/99     12.7G   0.03072    0.0317  0.002796   0.06522        20       640: 100% 31/31 [00:30<00:00,  1.00it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all          46        1827       0.628       0.557       0.483       0.275\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     93/99     12.7G   0.02886    0.0328  0.002348   0.06401        21       640: 100% 31/31 [00:33<00:00,  1.09s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all          46        1827       0.622       0.542       0.477       0.269\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     94/99     12.7G   0.03036   0.03417  0.002696   0.06722        28       640: 100% 31/31 [00:30<00:00,  1.03it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all          46        1827       0.637       0.558       0.484       0.272\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     95/99     12.7G   0.03044   0.03776   0.00288   0.07109        28       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all          46        1827       0.625       0.561       0.487       0.272\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     96/99     12.7G    0.0304   0.03604  0.002869    0.0693        31       640: 100% 31/31 [00:30<00:00,  1.00it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all          46        1827       0.635       0.564       0.491       0.277\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     97/99     12.7G   0.03133   0.03904  0.002842   0.07322       361       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.64it/s]\n",
            "                 all          46        1827       0.628       0.566       0.492       0.272\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     98/99     12.7G   0.02967   0.03655  0.002313   0.06854        16       640: 100% 31/31 [00:31<00:00,  1.01s/it]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:01<00:00,  1.46it/s]\n",
            "                 all          46        1827        0.64       0.568       0.495       0.277\n",
            "\n",
            "     Epoch   gpu_mem       box       obj       cls     total    labels  img_size\n",
            "     99/99     12.7G   0.02962    0.0341  0.002458   0.06618       217       640: 100% 31/31 [00:30<00:00,  1.02it/s]\n",
            "               Class      Images      Labels           P           R      mAP@.5  mAP@.5:.95: 100% 2/2 [00:02<00:00,  1.29s/it]\n",
            "                 all          46        1827       0.636       0.563       0.493       0.277\n",
            "             healthy          46         737       0.622       0.583       0.534       0.313\n",
            "           unhealthy          46        1090       0.649       0.543       0.452       0.242\n",
            "100 epochs completed in 0.954 hours.\n",
            "\n",
            "Optimizer stripped from runs/train/exp/weights/last.pt, 74.8MB\n",
            "Optimizer stripped from runs/train/exp/weights/best.pt, 74.8MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python detect.py --weights runs/train/exp/weights/best.pt --conf 0.5 --img-size 640 --source data/test/images --no-trace"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "owAU_rw5br3E",
        "outputId": "24bb7289-00be-4be7-aa0b-75b4c8a64040"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.5, device='', exist_ok=False, img_size=640, iou_thres=0.45, name='exp', no_trace=True, nosave=False, project='runs/detect', save_conf=False, save_txt=False, source='data/test/images', update=False, view_img=False, weights=['runs/train/exp/weights/best.pt'])\n",
            "YOLOR 🚀 v0.1-121-g2fdc7f1 torch 1.13.1+cu116 CUDA:0 (Tesla T4, 15109.875MB)\n",
            "\n",
            "Fusing layers... \n",
            "RepConv.fuse_repvgg_block\n",
            "RepConv.fuse_repvgg_block\n",
            "RepConv.fuse_repvgg_block\n",
            "IDetect.fuse\n",
            "Model Summary: 314 layers, 36487166 parameters, 6194944 gradients\n",
            "/usr/local/lib/python3.8/dist-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3190.)\n",
            "  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n",
            "40 healthys, 110 unhealthys, Done. (23.0ms) Inference, (1.8ms) NMS\n",
            "1 unhealthy, Done. (23.0ms) Inference, (1.2ms) NMS\n",
            "30 healthys, 98 unhealthys, Done. (27.2ms) Inference, (1.2ms) NMS\n",
            "34 healthys, 146 unhealthys, Done. (23.0ms) Inference, (1.2ms) NMS\n",
            "4 healthys, Done. (23.1ms) Inference, (1.1ms) NMS\n",
            "5 healthys, Done. (23.0ms) Inference, (1.1ms) NMS\n",
            "10 healthys, 3 unhealthys, Done. (23.1ms) Inference, (1.1ms) NMS\n",
            "5 healthys, Done. (23.0ms) Inference, (1.1ms) NMS\n",
            "5 healthys, 6 unhealthys, Done. (23.0ms) Inference, (1.1ms) NMS\n",
            "2 healthys, 6 unhealthys, Done. (23.1ms) Inference, (1.2ms) NMS\n",
            "11 healthys, Done. (23.0ms) Inference, (1.1ms) NMS\n",
            "12 healthys, 5 unhealthys, Done. (23.1ms) Inference, (1.2ms) NMS\n",
            "8 healthys, 4 unhealthys, Done. (23.1ms) Inference, (1.2ms) NMS\n",
            "12 healthys, 5 unhealthys, Done. (23.1ms) Inference, (1.2ms) NMS\n",
            "8 healthys, 7 unhealthys, Done. (23.0ms) Inference, (1.2ms) NMS\n",
            "10 healthys, 8 unhealthys, Done. (23.0ms) Inference, (1.1ms) NMS\n",
            "12 healthys, 6 unhealthys, Done. (23.0ms) Inference, (1.1ms) NMS\n",
            "7 healthys, 7 unhealthys, Done. (23.1ms) Inference, (1.1ms) NMS\n",
            "8 healthys, 3 unhealthys, Done. (23.0ms) Inference, (1.2ms) NMS\n",
            "5 unhealthys, Done. (23.1ms) Inference, (1.1ms) NMS\n",
            "6 healthys, 4 unhealthys, Done. (23.0ms) Inference, (1.2ms) NMS\n",
            "7 healthys, Done. (23.0ms) Inference, (1.1ms) NMS\n",
            " The output with the result is saved in: runs/detect/exp8/frame1_jpg.rf.7bd65419299577ce5695388f133d8819.jpg\n",
            "Done. (11.768s)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pwd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6296ep5NsP6s",
        "outputId": "c508cce7-76a4-47bb-ef85-b85c7a516970"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/TheCodingBug/yolov7\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "cWW2uexbtSfz"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}