EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "TRAIN_PATH = './Data/Train'\n",
    "TEST_PATH = './Data/Test'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_walk = os.walk(TRAIN_PATH)\n",
    "main_dir_path, _, rle_path = next(train_walk)\n",
    "dir_im_path, _, train_im_path = next(train_walk)\n",
    "dir_mask_path, _, train_mask_path = next(train_walk)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = pd.DataFrame()\n",
    "train_df['id'] = [im_p.split('.')[0] for im_p in train_im_path]\n",
    "train_df['im_paths'] = [os.path.join(dir_im_path, im_p) for im_p in train_im_path]\n",
    "train_df['mask_paths'] = [os.path.join(dir_mask_path, m_p) for m_p in train_mask_path]\n",
    "rle_df = pd.read_csv(os.path.join(main_dir_path, rle_path[0]))\n",
    "train_df = train_df.merge(rle_df, on='id', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>im_paths</th>\n",
       "      <th>mask_paths</th>\n",
       "      <th>rle_mask</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000e218f21</td>\n",
       "      <td>./Data/Train/images/000e218f21.png</td>\n",
       "      <td>./Data/Train/masks/000e218f21.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>003c477d7c</td>\n",
       "      <td>./Data/Train/images/003c477d7c.png</td>\n",
       "      <td>./Data/Train/masks/003c477d7c.png</td>\n",
       "      <td>7172 1 7273 2 7374 3 7475 4 7576 5 7677 6 7778...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00441f1cf2</td>\n",
       "      <td>./Data/Train/images/00441f1cf2.png</td>\n",
       "      <td>./Data/Train/masks/00441f1cf2.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0050766ae2</td>\n",
       "      <td>./Data/Train/images/0050766ae2.png</td>\n",
       "      <td>./Data/Train/masks/0050766ae2.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>005b452274</td>\n",
       "      <td>./Data/Train/images/005b452274.png</td>\n",
       "      <td>./Data/Train/masks/005b452274.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0061281eea</td>\n",
       "      <td>./Data/Train/images/0061281eea.png</td>\n",
       "      <td>./Data/Train/masks/0061281eea.png</td>\n",
       "      <td>2823 6 2919 11 3015 16 3112 20 3211 22 3310 24...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>008a50a2ec</td>\n",
       "      <td>./Data/Train/images/008a50a2ec.png</td>\n",
       "      <td>./Data/Train/masks/008a50a2ec.png</td>\n",
       "      <td>9695 2 9792 6 9892 7 9991 9 10091 10 10192 10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>00950d1627</td>\n",
       "      <td>./Data/Train/images/00950d1627.png</td>\n",
       "      <td>./Data/Train/masks/00950d1627.png</td>\n",
       "      <td>1 6969 8182 2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>00a3af90ab</td>\n",
       "      <td>./Data/Train/images/00a3af90ab.png</td>\n",
       "      <td>./Data/Train/masks/00a3af90ab.png</td>\n",
       "      <td>9996 4 10094 7 10189 13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>00cda0328c</td>\n",
       "      <td>./Data/Train/images/00cda0328c.png</td>\n",
       "      <td>./Data/Train/masks/00cda0328c.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0108518d1e</td>\n",
       "      <td>./Data/Train/images/0108518d1e.png</td>\n",
       "      <td>./Data/Train/masks/0108518d1e.png</td>\n",
       "      <td>1 1717 1719 100 1820 100 1921 100 2022 100 212...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>010ee525b6</td>\n",
       "      <td>./Data/Train/images/010ee525b6.png</td>\n",
       "      <td>./Data/Train/masks/010ee525b6.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0115703825</td>\n",
       "      <td>./Data/Train/images/0115703825.png</td>\n",
       "      <td>./Data/Train/masks/0115703825.png</td>\n",
       "      <td>1 21 102 21 203 21 304 21 405 21 506 22 607 22...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>01323211a0</td>\n",
       "      <td>./Data/Train/images/01323211a0.png</td>\n",
       "      <td>./Data/Train/masks/01323211a0.png</td>\n",
       "      <td>25 64 127 61 229 59 331 57 433 55 534 54 636 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>016fc8031c</td>\n",
       "      <td>./Data/Train/images/016fc8031c.png</td>\n",
       "      <td>./Data/Train/masks/016fc8031c.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>019afb4b4e</td>\n",
       "      <td>./Data/Train/images/019afb4b4e.png</td>\n",
       "      <td>./Data/Train/masks/019afb4b4e.png</td>\n",
       "      <td>7 52 106 54 205 55 306 55 407 55 510 54 610 56...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>01b5362cce</td>\n",
       "      <td>./Data/Train/images/01b5362cce.png</td>\n",
       "      <td>./Data/Train/masks/01b5362cce.png</td>\n",
       "      <td>528 3 625 10 719 20 820 25 914 37 1017 42 1112...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>01c033e116</td>\n",
       "      <td>./Data/Train/images/01c033e116.png</td>\n",
       "      <td>./Data/Train/masks/01c033e116.png</td>\n",
       "      <td>1 1313 1321 94 1439 77 1561 56 1681 31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>01c2045d03</td>\n",
       "      <td>./Data/Train/images/01c2045d03.png</td>\n",
       "      <td>./Data/Train/masks/01c2045d03.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>020376e68e</td>\n",
       "      <td>./Data/Train/images/020376e68e.png</td>\n",
       "      <td>./Data/Train/masks/020376e68e.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>020678ec1b</td>\n",
       "      <td>./Data/Train/images/020678ec1b.png</td>\n",
       "      <td>./Data/Train/masks/020678ec1b.png</td>\n",
       "      <td>31 71 132 71 233 71 334 71 435 71 537 70 638 7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>02117a400e</td>\n",
       "      <td>./Data/Train/images/02117a400e.png</td>\n",
       "      <td>./Data/Train/masks/02117a400e.png</td>\n",
       "      <td>4041 1 4142 4 4243 7 4344 10 4445 13 4546 15 4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>021494f3aa</td>\n",
       "      <td>./Data/Train/images/021494f3aa.png</td>\n",
       "      <td>./Data/Train/masks/021494f3aa.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>02206b234e</td>\n",
       "      <td>./Data/Train/images/02206b234e.png</td>\n",
       "      <td>./Data/Train/masks/02206b234e.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>022b1b01be</td>\n",
       "      <td>./Data/Train/images/022b1b01be.png</td>\n",
       "      <td>./Data/Train/masks/022b1b01be.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>023d486fba</td>\n",
       "      <td>./Data/Train/images/023d486fba.png</td>\n",
       "      <td>./Data/Train/masks/023d486fba.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>8d141a0b7a</td>\n",
       "      <td>./Data/Train/images/8d141a0b7a.png</td>\n",
       "      <td>./Data/Train/masks/8d141a0b7a.png</td>\n",
       "      <td>5455 1 5556 1 5657 2 5758 3 5859 4 5960 5 6061...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8d28e714e3</td>\n",
       "      <td>./Data/Train/images/8d28e714e3.png</td>\n",
       "      <td>./Data/Train/masks/8d28e714e3.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>8d2e68312e</td>\n",
       "      <td>./Data/Train/images/8d2e68312e.png</td>\n",
       "      <td>./Data/Train/masks/8d2e68312e.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>8d3ee9356b</td>\n",
       "      <td>./Data/Train/images/8d3ee9356b.png</td>\n",
       "      <td>./Data/Train/masks/8d3ee9356b.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3970</th>\n",
       "      <td>8c916f9cb5</td>\n",
       "      <td>./Data/Train/images/8c916f9cb5.png</td>\n",
       "      <td>./Data/Train/masks/8c916f9cb5.png</td>\n",
       "      <td>492 5 590 14 682 26 781 28 873 37 962 49 1058 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3971</th>\n",
       "      <td>8c976149d0</td>\n",
       "      <td>./Data/Train/images/8c976149d0.png</td>\n",
       "      <td>./Data/Train/masks/8c976149d0.png</td>\n",
       "      <td>1 8 102 8 203 7 304 6 405 6 506 5 607 4 708 2 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3972</th>\n",
       "      <td>8c99d8c85f</td>\n",
       "      <td>./Data/Train/images/8c99d8c85f.png</td>\n",
       "      <td>./Data/Train/masks/8c99d8c85f.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3973</th>\n",
       "      <td>8c9a0ea088</td>\n",
       "      <td>./Data/Train/images/8c9a0ea088.png</td>\n",
       "      <td>./Data/Train/masks/8c9a0ea088.png</td>\n",
       "      <td>7068 3 7165 7 7261 12 7358 16 7455 20 7552 24 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3974</th>\n",
       "      <td>8c9b19f267</td>\n",
       "      <td>./Data/Train/images/8c9b19f267.png</td>\n",
       "      <td>./Data/Train/masks/8c9b19f267.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3975</th>\n",
       "      <td>8ca104baef</td>\n",
       "      <td>./Data/Train/images/8ca104baef.png</td>\n",
       "      <td>./Data/Train/masks/8ca104baef.png</td>\n",
       "      <td>94 8 195 8 296 8 395 10 493 13 591 16 692 16 7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3976</th>\n",
       "      <td>8ca267be2b</td>\n",
       "      <td>./Data/Train/images/8ca267be2b.png</td>\n",
       "      <td>./Data/Train/masks/8ca267be2b.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3977</th>\n",
       "      <td>8cb6f8581b</td>\n",
       "      <td>./Data/Train/images/8cb6f8581b.png</td>\n",
       "      <td>./Data/Train/masks/8cb6f8581b.png</td>\n",
       "      <td>3534 2 3634 3 3734 4 3834 5 3933 7 4032 9 4132...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3978</th>\n",
       "      <td>8cbefc189e</td>\n",
       "      <td>./Data/Train/images/8cbefc189e.png</td>\n",
       "      <td>./Data/Train/masks/8cbefc189e.png</td>\n",
       "      <td>100 2 202 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3979</th>\n",
       "      <td>8ce1df1a6a</td>\n",
       "      <td>./Data/Train/images/8ce1df1a6a.png</td>\n",
       "      <td>./Data/Train/masks/8ce1df1a6a.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3980</th>\n",
       "      <td>8ce5996371</td>\n",
       "      <td>./Data/Train/images/8ce5996371.png</td>\n",
       "      <td>./Data/Train/masks/8ce5996371.png</td>\n",
       "      <td>88 14 189 14 290 14 391 14 492 14 593 14 693 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3981</th>\n",
       "      <td>8cf3a6a6f5</td>\n",
       "      <td>./Data/Train/images/8cf3a6a6f5.png</td>\n",
       "      <td>./Data/Train/masks/8cf3a6a6f5.png</td>\n",
       "      <td>1 57 102 57 203 56 304 56 405 55 506 55 607 54...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3982</th>\n",
       "      <td>e05db130be</td>\n",
       "      <td>./Data/Train/images/e05db130be.png</td>\n",
       "      <td>./Data/Train/masks/e05db130be.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3983</th>\n",
       "      <td>e060d5ca41</td>\n",
       "      <td>./Data/Train/images/e060d5ca41.png</td>\n",
       "      <td>./Data/Train/masks/e060d5ca41.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3984</th>\n",
       "      <td>e0751c41fd</td>\n",
       "      <td>./Data/Train/images/e0751c41fd.png</td>\n",
       "      <td>./Data/Train/masks/e0751c41fd.png</td>\n",
       "      <td>1 8886 8889 96 8990 94 9091 93 9192 92 9293 91...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3985</th>\n",
       "      <td>e082398595</td>\n",
       "      <td>./Data/Train/images/e082398595.png</td>\n",
       "      <td>./Data/Train/masks/e082398595.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3986</th>\n",
       "      <td>e099e54eee</td>\n",
       "      <td>./Data/Train/images/e099e54eee.png</td>\n",
       "      <td>./Data/Train/masks/e099e54eee.png</td>\n",
       "      <td>5247 6 5342 12 5437 18 5532 24 5624 33 5715 43...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987</th>\n",
       "      <td>e0b6a1211f</td>\n",
       "      <td>./Data/Train/images/e0b6a1211f.png</td>\n",
       "      <td>./Data/Train/masks/e0b6a1211f.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3988</th>\n",
       "      <td>e0b778dacd</td>\n",
       "      <td>./Data/Train/images/e0b778dacd.png</td>\n",
       "      <td>./Data/Train/masks/e0b778dacd.png</td>\n",
       "      <td>1 8583 8586 96 8687 93 8788 90 8889 87 8990 84...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3989</th>\n",
       "      <td>e0bde1cf11</td>\n",
       "      <td>./Data/Train/images/e0bde1cf11.png</td>\n",
       "      <td>./Data/Train/masks/e0bde1cf11.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3990</th>\n",
       "      <td>e0c136dc8e</td>\n",
       "      <td>./Data/Train/images/e0c136dc8e.png</td>\n",
       "      <td>./Data/Train/masks/e0c136dc8e.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3991</th>\n",
       "      <td>e0cfbbcb0c</td>\n",
       "      <td>./Data/Train/images/e0cfbbcb0c.png</td>\n",
       "      <td>./Data/Train/masks/e0cfbbcb0c.png</td>\n",
       "      <td>1 2617 2627 77 2728 59 2829 44 2930 31 3031 18...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3992</th>\n",
       "      <td>e0d98e6fde</td>\n",
       "      <td>./Data/Train/images/e0d98e6fde.png</td>\n",
       "      <td>./Data/Train/masks/e0d98e6fde.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3993</th>\n",
       "      <td>e0da89ce88</td>\n",
       "      <td>./Data/Train/images/e0da89ce88.png</td>\n",
       "      <td>./Data/Train/masks/e0da89ce88.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3994</th>\n",
       "      <td>e0dade9896</td>\n",
       "      <td>./Data/Train/images/e0dade9896.png</td>\n",
       "      <td>./Data/Train/masks/e0dade9896.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3995</th>\n",
       "      <td>e0f030eb66</td>\n",
       "      <td>./Data/Train/images/e0f030eb66.png</td>\n",
       "      <td>./Data/Train/masks/e0f030eb66.png</td>\n",
       "      <td>101 1 202 1 1616 1 1714 4 1809 10 1904 16 1999...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3996</th>\n",
       "      <td>e0fb508d51</td>\n",
       "      <td>./Data/Train/images/e0fb508d51.png</td>\n",
       "      <td>./Data/Train/masks/e0fb508d51.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3997</th>\n",
       "      <td>e1009fa370</td>\n",
       "      <td>./Data/Train/images/e1009fa370.png</td>\n",
       "      <td>./Data/Train/masks/e1009fa370.png</td>\n",
       "      <td>99 3 201 2 303 1 404 1 504 2 604 3 704 4 804 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3998</th>\n",
       "      <td>e101b9a0ec</td>\n",
       "      <td>./Data/Train/images/e101b9a0ec.png</td>\n",
       "      <td>./Data/Train/masks/e101b9a0ec.png</td>\n",
       "      <td>1 9178 9192 63 9293 25 9394 15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3999</th>\n",
       "      <td>e10a1a3e81</td>\n",
       "      <td>./Data/Train/images/e10a1a3e81.png</td>\n",
       "      <td>./Data/Train/masks/e10a1a3e81.png</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id                            im_paths  \\\n",
       "0     000e218f21  ./Data/Train/images/000e218f21.png   \n",
       "1     003c477d7c  ./Data/Train/images/003c477d7c.png   \n",
       "2     00441f1cf2  ./Data/Train/images/00441f1cf2.png   \n",
       "3     0050766ae2  ./Data/Train/images/0050766ae2.png   \n",
       "4     005b452274  ./Data/Train/images/005b452274.png   \n",
       "5     0061281eea  ./Data/Train/images/0061281eea.png   \n",
       "6     008a50a2ec  ./Data/Train/images/008a50a2ec.png   \n",
       "7     00950d1627  ./Data/Train/images/00950d1627.png   \n",
       "8     00a3af90ab  ./Data/Train/images/00a3af90ab.png   \n",
       "9     00cda0328c  ./Data/Train/images/00cda0328c.png   \n",
       "10    0108518d1e  ./Data/Train/images/0108518d1e.png   \n",
       "11    010ee525b6  ./Data/Train/images/010ee525b6.png   \n",
       "12    0115703825  ./Data/Train/images/0115703825.png   \n",
       "13    01323211a0  ./Data/Train/images/01323211a0.png   \n",
       "14    016fc8031c  ./Data/Train/images/016fc8031c.png   \n",
       "15    019afb4b4e  ./Data/Train/images/019afb4b4e.png   \n",
       "16    01b5362cce  ./Data/Train/images/01b5362cce.png   \n",
       "17    01c033e116  ./Data/Train/images/01c033e116.png   \n",
       "18    01c2045d03  ./Data/Train/images/01c2045d03.png   \n",
       "19    020376e68e  ./Data/Train/images/020376e68e.png   \n",
       "20    020678ec1b  ./Data/Train/images/020678ec1b.png   \n",
       "21    02117a400e  ./Data/Train/images/02117a400e.png   \n",
       "22    021494f3aa  ./Data/Train/images/021494f3aa.png   \n",
       "23    02206b234e  ./Data/Train/images/02206b234e.png   \n",
       "24    022b1b01be  ./Data/Train/images/022b1b01be.png   \n",
       "25    023d486fba  ./Data/Train/images/023d486fba.png   \n",
       "26    8d141a0b7a  ./Data/Train/images/8d141a0b7a.png   \n",
       "27    8d28e714e3  ./Data/Train/images/8d28e714e3.png   \n",
       "28    8d2e68312e  ./Data/Train/images/8d2e68312e.png   \n",
       "29    8d3ee9356b  ./Data/Train/images/8d3ee9356b.png   \n",
       "...          ...                                 ...   \n",
       "3970  8c916f9cb5  ./Data/Train/images/8c916f9cb5.png   \n",
       "3971  8c976149d0  ./Data/Train/images/8c976149d0.png   \n",
       "3972  8c99d8c85f  ./Data/Train/images/8c99d8c85f.png   \n",
       "3973  8c9a0ea088  ./Data/Train/images/8c9a0ea088.png   \n",
       "3974  8c9b19f267  ./Data/Train/images/8c9b19f267.png   \n",
       "3975  8ca104baef  ./Data/Train/images/8ca104baef.png   \n",
       "3976  8ca267be2b  ./Data/Train/images/8ca267be2b.png   \n",
       "3977  8cb6f8581b  ./Data/Train/images/8cb6f8581b.png   \n",
       "3978  8cbefc189e  ./Data/Train/images/8cbefc189e.png   \n",
       "3979  8ce1df1a6a  ./Data/Train/images/8ce1df1a6a.png   \n",
       "3980  8ce5996371  ./Data/Train/images/8ce5996371.png   \n",
       "3981  8cf3a6a6f5  ./Data/Train/images/8cf3a6a6f5.png   \n",
       "3982  e05db130be  ./Data/Train/images/e05db130be.png   \n",
       "3983  e060d5ca41  ./Data/Train/images/e060d5ca41.png   \n",
       "3984  e0751c41fd  ./Data/Train/images/e0751c41fd.png   \n",
       "3985  e082398595  ./Data/Train/images/e082398595.png   \n",
       "3986  e099e54eee  ./Data/Train/images/e099e54eee.png   \n",
       "3987  e0b6a1211f  ./Data/Train/images/e0b6a1211f.png   \n",
       "3988  e0b778dacd  ./Data/Train/images/e0b778dacd.png   \n",
       "3989  e0bde1cf11  ./Data/Train/images/e0bde1cf11.png   \n",
       "3990  e0c136dc8e  ./Data/Train/images/e0c136dc8e.png   \n",
       "3991  e0cfbbcb0c  ./Data/Train/images/e0cfbbcb0c.png   \n",
       "3992  e0d98e6fde  ./Data/Train/images/e0d98e6fde.png   \n",
       "3993  e0da89ce88  ./Data/Train/images/e0da89ce88.png   \n",
       "3994  e0dade9896  ./Data/Train/images/e0dade9896.png   \n",
       "3995  e0f030eb66  ./Data/Train/images/e0f030eb66.png   \n",
       "3996  e0fb508d51  ./Data/Train/images/e0fb508d51.png   \n",
       "3997  e1009fa370  ./Data/Train/images/e1009fa370.png   \n",
       "3998  e101b9a0ec  ./Data/Train/images/e101b9a0ec.png   \n",
       "3999  e10a1a3e81  ./Data/Train/images/e10a1a3e81.png   \n",
       "\n",
       "                             mask_paths  \\\n",
       "0     ./Data/Train/masks/000e218f21.png   \n",
       "1     ./Data/Train/masks/003c477d7c.png   \n",
       "2     ./Data/Train/masks/00441f1cf2.png   \n",
       "3     ./Data/Train/masks/0050766ae2.png   \n",
       "4     ./Data/Train/masks/005b452274.png   \n",
       "5     ./Data/Train/masks/0061281eea.png   \n",
       "6     ./Data/Train/masks/008a50a2ec.png   \n",
       "7     ./Data/Train/masks/00950d1627.png   \n",
       "8     ./Data/Train/masks/00a3af90ab.png   \n",
       "9     ./Data/Train/masks/00cda0328c.png   \n",
       "10    ./Data/Train/masks/0108518d1e.png   \n",
       "11    ./Data/Train/masks/010ee525b6.png   \n",
       "12    ./Data/Train/masks/0115703825.png   \n",
       "13    ./Data/Train/masks/01323211a0.png   \n",
       "14    ./Data/Train/masks/016fc8031c.png   \n",
       "15    ./Data/Train/masks/019afb4b4e.png   \n",
       "16    ./Data/Train/masks/01b5362cce.png   \n",
       "17    ./Data/Train/masks/01c033e116.png   \n",
       "18    ./Data/Train/masks/01c2045d03.png   \n",
       "19    ./Data/Train/masks/020376e68e.png   \n",
       "20    ./Data/Train/masks/020678ec1b.png   \n",
       "21    ./Data/Train/masks/02117a400e.png   \n",
       "22    ./Data/Train/masks/021494f3aa.png   \n",
       "23    ./Data/Train/masks/02206b234e.png   \n",
       "24    ./Data/Train/masks/022b1b01be.png   \n",
       "25    ./Data/Train/masks/023d486fba.png   \n",
       "26    ./Data/Train/masks/8d141a0b7a.png   \n",
       "27    ./Data/Train/masks/8d28e714e3.png   \n",
       "28    ./Data/Train/masks/8d2e68312e.png   \n",
       "29    ./Data/Train/masks/8d3ee9356b.png   \n",
       "...                                 ...   \n",
       "3970  ./Data/Train/masks/8c916f9cb5.png   \n",
       "3971  ./Data/Train/masks/8c976149d0.png   \n",
       "3972  ./Data/Train/masks/8c99d8c85f.png   \n",
       "3973  ./Data/Train/masks/8c9a0ea088.png   \n",
       "3974  ./Data/Train/masks/8c9b19f267.png   \n",
       "3975  ./Data/Train/masks/8ca104baef.png   \n",
       "3976  ./Data/Train/masks/8ca267be2b.png   \n",
       "3977  ./Data/Train/masks/8cb6f8581b.png   \n",
       "3978  ./Data/Train/masks/8cbefc189e.png   \n",
       "3979  ./Data/Train/masks/8ce1df1a6a.png   \n",
       "3980  ./Data/Train/masks/8ce5996371.png   \n",
       "3981  ./Data/Train/masks/8cf3a6a6f5.png   \n",
       "3982  ./Data/Train/masks/e05db130be.png   \n",
       "3983  ./Data/Train/masks/e060d5ca41.png   \n",
       "3984  ./Data/Train/masks/e0751c41fd.png   \n",
       "3985  ./Data/Train/masks/e082398595.png   \n",
       "3986  ./Data/Train/masks/e099e54eee.png   \n",
       "3987  ./Data/Train/masks/e0b6a1211f.png   \n",
       "3988  ./Data/Train/masks/e0b778dacd.png   \n",
       "3989  ./Data/Train/masks/e0bde1cf11.png   \n",
       "3990  ./Data/Train/masks/e0c136dc8e.png   \n",
       "3991  ./Data/Train/masks/e0cfbbcb0c.png   \n",
       "3992  ./Data/Train/masks/e0d98e6fde.png   \n",
       "3993  ./Data/Train/masks/e0da89ce88.png   \n",
       "3994  ./Data/Train/masks/e0dade9896.png   \n",
       "3995  ./Data/Train/masks/e0f030eb66.png   \n",
       "3996  ./Data/Train/masks/e0fb508d51.png   \n",
       "3997  ./Data/Train/masks/e1009fa370.png   \n",
       "3998  ./Data/Train/masks/e101b9a0ec.png   \n",
       "3999  ./Data/Train/masks/e10a1a3e81.png   \n",
       "\n",
       "                                               rle_mask  \n",
       "0                                                   NaN  \n",
       "1     7172 1 7273 2 7374 3 7475 4 7576 5 7677 6 7778...  \n",
       "2                                                   NaN  \n",
       "3                                                   NaN  \n",
       "4                                                   NaN  \n",
       "5     2823 6 2919 11 3015 16 3112 20 3211 22 3310 24...  \n",
       "6         9695 2 9792 6 9892 7 9991 9 10091 10 10192 10  \n",
       "7                                      1 6969 8182 2020  \n",
       "8                               9996 4 10094 7 10189 13  \n",
       "9                                                   NaN  \n",
       "10    1 1717 1719 100 1820 100 1921 100 2022 100 212...  \n",
       "11                                                  NaN  \n",
       "12    1 21 102 21 203 21 304 21 405 21 506 22 607 22...  \n",
       "13    25 64 127 61 229 59 331 57 433 55 534 54 636 5...  \n",
       "14                                                  NaN  \n",
       "15    7 52 106 54 205 55 306 55 407 55 510 54 610 56...  \n",
       "16    528 3 625 10 719 20 820 25 914 37 1017 42 1112...  \n",
       "17               1 1313 1321 94 1439 77 1561 56 1681 31  \n",
       "18                                                  NaN  \n",
       "19                                                  NaN  \n",
       "20    31 71 132 71 233 71 334 71 435 71 537 70 638 7...  \n",
       "21    4041 1 4142 4 4243 7 4344 10 4445 13 4546 15 4...  \n",
       "22                                                  NaN  \n",
       "23                                                  NaN  \n",
       "24                                                  NaN  \n",
       "25                                                  NaN  \n",
       "26    5455 1 5556 1 5657 2 5758 3 5859 4 5960 5 6061...  \n",
       "27                                                  NaN  \n",
       "28                                                  NaN  \n",
       "29                                                  NaN  \n",
       "...                                                 ...  \n",
       "3970  492 5 590 14 682 26 781 28 873 37 962 49 1058 ...  \n",
       "3971  1 8 102 8 203 7 304 6 405 6 506 5 607 4 708 2 ...  \n",
       "3972                                                NaN  \n",
       "3973  7068 3 7165 7 7261 12 7358 16 7455 20 7552 24 ...  \n",
       "3974                                                NaN  \n",
       "3975  94 8 195 8 296 8 395 10 493 13 591 16 692 16 7...  \n",
       "3976                                                NaN  \n",
       "3977  3534 2 3634 3 3734 4 3834 5 3933 7 4032 9 4132...  \n",
       "3978                                        100 2 202 1  \n",
       "3979                                                NaN  \n",
       "3980  88 14 189 14 290 14 391 14 492 14 593 14 693 1...  \n",
       "3981  1 57 102 57 203 56 304 56 405 55 506 55 607 54...  \n",
       "3982                                                NaN  \n",
       "3983                                                NaN  \n",
       "3984  1 8886 8889 96 8990 94 9091 93 9192 92 9293 91...  \n",
       "3985                                                NaN  \n",
       "3986  5247 6 5342 12 5437 18 5532 24 5624 33 5715 43...  \n",
       "3987                                                NaN  \n",
       "3988  1 8583 8586 96 8687 93 8788 90 8889 87 8990 84...  \n",
       "3989                                                NaN  \n",
       "3990                                                NaN  \n",
       "3991  1 2617 2627 77 2728 59 2829 44 2930 31 3031 18...  \n",
       "3992                                                NaN  \n",
       "3993                                                NaN  \n",
       "3994                                                NaN  \n",
       "3995  101 1 202 1 1616 1 1714 4 1809 10 1904 16 1999...  \n",
       "3996                                                NaN  \n",
       "3997  99 3 201 2 303 1 404 1 504 2 604 3 704 4 804 5...  \n",
       "3998                     1 9178 9192 63 9293 25 9394 15  \n",
       "3999                                                NaN  \n",
       "\n",
       "[4000 rows x 4 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df\n",
    "# rle.shape"
   ]
  }
 ],
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