Data_gathering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:42:27.845963Z",
     "start_time": "2019-11-29T19:42:27.841712Z"
    },
    "hide_input": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "import done\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import time\n",
    "import sys\n",
    "import os\n",
    "import random\n",
    "from skimage import io\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "from shutil import copyfile\n",
    "\n",
    "import cv2\n",
    "import tensorflow as tf\n",
    "print('import done')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/paulz/Documents/faster_rcnn'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:44:27.559047Z",
     "start_time": "2019-11-29T19:44:27.556591Z"
    },
    "hide_input": false
   },
   "outputs": [],
   "source": [
    "base_path = '/home/paulz/Documents/faster_rcnn/Dataset'\n",
    "images_fname = 'train-images-boxable.csv'\n",
    "annotations_fname = 'train-annotations-bbox.csv'\n",
    "class_fname = 'class-descriptions-boxable.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:44:28.214262Z",
     "start_time": "2019-11-29T19:44:27.990726Z"
    }
   },
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>image_name</th>\n",
       "      <th>image_url</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e39871fd9fd74f55.jpg</td>\n",
       "      <td>https://requestor-proxy.figure-eight.com/figur...</td>\n",
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       "      <th>1</th>\n",
       "      <td>f18b91585c4d3f3e.jpg</td>\n",
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       "             image_name                                          image_url\n",
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      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images = pd.read_csv(os.path.join(base_path, images_fname))\n",
    "images.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
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    "ExecuteTime": {
     "end_time": "2019-11-29T19:44:47.536970Z",
     "start_time": "2019-11-29T19:44:46.659138Z"
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   "outputs": [
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      "text/plain": [
       "            ImageID  Source  LabelName  Confidence      XMin      XMax  \\\n",
       "0  000002b66c9c498e  xclick  /m/01g317           1  0.012500  0.195312   \n",
       "1  000002b66c9c498e  xclick  /m/01g317           1  0.025000  0.276563   \n",
       "2  000002b66c9c498e  xclick  /m/01g317           1  0.151562  0.310937   \n",
       "3  000002b66c9c498e  xclick  /m/01g317           1  0.256250  0.429688   \n",
       "4  000002b66c9c498e  xclick  /m/01g317           1  0.257812  0.346875   \n",
       "\n",
       "       YMin      YMax  IsOccluded  IsTruncated  IsGroupOf  IsDepiction  \\\n",
       "0  0.148438  0.587500           0            1          0            0   \n",
       "1  0.714063  0.948438           0            1          0            0   \n",
       "2  0.198437  0.590625           1            0          0            0   \n",
       "3  0.651563  0.925000           1            0          0            0   \n",
       "4  0.235938  0.385938           1            0          0            0   \n",
       "\n",
       "   IsInside  \n",
       "0         0  \n",
       "1         0  \n",
       "2         0  \n",
       "3         0  \n",
       "4         0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annotations = pd.read_csv(os.path.join(base_path, annotations_fname))\n",
    "annotations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:49:40.965342Z",
     "start_time": "2019-11-29T19:49:40.956125Z"
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   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>class</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/m/011k07</td>\n",
       "      <td>Tortoise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/m/011q46kg</td>\n",
       "      <td>Container</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>/m/012074</td>\n",
       "      <td>Magpie</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>/m/0120dh</td>\n",
       "      <td>Sea turtle</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>/m/01226z</td>\n",
       "      <td>Football</td>\n",
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       "          name       class\n",
       "0    /m/011k07    Tortoise\n",
       "1  /m/011q46kg   Container\n",
       "2    /m/012074      Magpie\n",
       "3    /m/0120dh  Sea turtle\n",
       "4    /m/01226z    Football"
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     "execution_count": 12,
     "metadata": {},
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   ],
   "source": [
    "class_desc = pd.read_csv(os.path.join(base_path, class_fname))\n",
    "class_desc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Person subset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:49:44.717355Z",
     "start_time": "2019-11-29T19:49:44.650915Z"
    }
   },
   "outputs": [],
   "source": [
    "# Find the label_name for 'Person', 'Mobile Phone' and 'Car' classes\n",
    "person_pd = class_desc[class_desc['class']=='Person']\n",
    "label_name_person = person_pd['name'].values[0]\n",
    "person_bbox = annotations[annotations['LabelName']==label_name_person]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:52:23.203592Z",
     "start_time": "2019-11-29T19:52:23.169950Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1034721 persons in the dataset\n"
     ]
    }
   ],
   "source": [
    "print('There are %d persons in the dataset' %(len(person_bbox)))\n",
    "person_img_id = person_bbox['ImageID']\n",
    "person_img_id = np.unique(person_img_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:52:28.035082Z",
     "start_time": "2019-11-29T19:52:28.008619Z"
    }
   },
   "outputs": [],
   "source": [
    "# Shuffle the ids and pick the first 1000 ids\n",
    "copy_person_id = person_img_id.copy()\n",
    "random.seed(1)\n",
    "random.shuffle(copy_person_id)\n",
    "\n",
    "n = 2000\n",
    "subperson_img_id = copy_person_id[:n]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:53:20.485234Z",
     "start_time": "2019-11-29T19:53:15.265430Z"
    }
   },
   "outputs": [],
   "source": [
    "subperson_img_url = [images[images['image_name']==name+'.jpg'] for name in subperson_img_id]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:53:41.002686Z",
     "start_time": "2019-11-29T19:53:40.729444Z"
    }
   },
   "outputs": [],
   "source": [
    "subperson_pd = pd.DataFrame()\n",
    "for i in range(len(subperson_img_url)):\n",
    "    subperson_pd = subperson_pd.append(subperson_img_url[i], ignore_index = True)\n",
    "subperson_pd.to_csv(os.path.join(base_path, 'subperson_img_url.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:54:31.272290Z",
     "start_time": "2019-11-29T19:54:31.234138Z"
    }
   },
   "outputs": [],
   "source": [
    "subperson_img_url = [url['image_url'].values[0] for url in subperson_img_url]\n",
    "subperson_img_url = subperson_pd['image_url'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T19:56:48.580089Z",
     "start_time": "2019-11-29T19:56:48.577665Z"
    }
   },
   "outputs": [],
   "source": [
    "saved_dir = os.path.join(base_path,'Person')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:02:24.373568Z",
     "start_time": "2019-11-29T19:56:53.255367Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/paulz/.local/lib/python3.6/site-packages/ipykernel_launcher.py:8: UserWarning: /home/paulz/Documents/faster_rcnn/Dataset/Person/a6a129777880e6ed.jpg is a low contrast image\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "# Download images\n",
    "# Create the directory\n",
    "os.mkdir(saved_dir)\n",
    "for url in subperson_img_url:\n",
    "    # print(url)\n",
    "    img = io.imread(url)\n",
    "    saved_path = os.path.join(saved_dir, url[-20:])\n",
    "    io.imsave(saved_path, img)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download complete, now visualize it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:03:28.579351Z",
     "start_time": "2019-11-29T20:03:28.570833Z"
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       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>87670e0947150e19.jpg</td>\n",
       "      <td>https://requestor-proxy.figure-eight.com/figur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>e00eed7d91befdc9.jpg</td>\n",
       "      <td>https://requestor-proxy.figure-eight.com/figur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>002fc7d1b1c3c0e7.jpg</td>\n",
       "      <td>https://requestor-proxy.figure-eight.com/figur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>cc567926738267ea.jpg</td>\n",
       "      <td>https://requestor-proxy.figure-eight.com/figur...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                image_name                                          image_url\n",
       "0     1a76122aab7176d8.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "1     5accc0a51f39559f.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "2     f607867752dd80e9.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "3     47df981ba82e224c.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "4     aff1b59bccb0f6cb.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "...                    ...                                                ...\n",
       "1995  f93e39674ca117e6.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "1996  87670e0947150e19.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "1997  e00eed7d91befdc9.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "1998  002fc7d1b1c3c0e7.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "1999  cc567926738267ea.jpg  https://requestor-proxy.figure-eight.com/figur...\n",
       "\n",
       "[2000 rows x 2 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subperson_pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:05:40.386256Z",
     "start_time": "2019-11-29T20:05:39.980408Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\t image_name: f607867752dd80e9.jpg\n",
      "\t img_url: https://requestor-proxy.figure-eight.com/figure_eight_datasets/open-images/train/f607867752dd80e9.jpg\n"
     ]
    }
   ],
   "source": [
    "img_name = subperson_pd['image_name'][2]\n",
    "img_url = subperson_pd['image_url'][2]\n",
    "print('\\t image_name: %s' % (img_name))\n",
    "print('\\t img_url: %s' % (img_url))\n",
    "img = io.imread(img_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:05:41.769878Z",
     "start_time": "2019-11-29T20:05:41.145700Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(682, 1024, 3)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "height, width, _ = img.shape\n",
    "print(img.shape)\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.subplot(1,2,1)\n",
    "plt.title('Original Image')\n",
    "plt.imshow(img)\n",
    "img_id = img_name[:16]\n",
    "bboxs = annotations[annotations['ImageID']==img_id]\n",
    "img_bbox = img.copy()\n",
    "for index, row in bboxs.iterrows():\n",
    "    xmin = row['XMin']\n",
    "    xmax = row['XMax']\n",
    "    ymin = row['YMin']\n",
    "    ymax = row['YMax']\n",
    "    xmin = int(xmin*width)\n",
    "    xmax = int(xmax*width)\n",
    "    ymin = int(ymin*height)\n",
    "    ymax = int(ymax*height)\n",
    "    label_name = row['LabelName']\n",
    "    class_series = class_desc[class_desc['name']==label_name]\n",
    "    class_name = class_series['class'].values[0]\n",
    "    cv2.rectangle(img_bbox,(xmin,ymin),(xmax,ymax),(0,255,0),2)\n",
    "    font = cv2.FONT_HERSHEY_SIMPLEX\n",
    "    cv2.putText(img_bbox,class_name,(xmin,ymin-10), font, 1,(0,255,0),2)\n",
    "plt.subplot(1,2,2)\n",
    "plt.title('Image with Bounding Box')\n",
    "plt.imshow(img_bbox)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train and test preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:08:22.653282Z",
     "start_time": "2019-11-29T20:08:22.650077Z"
    }
   },
   "outputs": [],
   "source": [
    "# Save images to train and test directory\n",
    "train_path = os.path.join(base_path, 'train')\n",
    "os.mkdir(train_path)\n",
    "test_path = os.path.join(base_path, 'test')\n",
    "os.mkdir(test_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:16:06.233592Z",
     "start_time": "2019-11-29T20:16:05.834383Z"
    }
   },
   "outputs": [],
   "source": [
    "classe = 'Person'\n",
    "all_imgs = os.listdir(os.path.join(base_path, classe))\n",
    "all_imgs = [f for f in all_imgs if not f.startswith('.')]\n",
    "random.seed(1)\n",
    "random.shuffle(all_imgs)\n",
    "\n",
    "train_imgs = all_imgs[:800]\n",
    "test_imgs = all_imgs[800:]\n",
    "\n",
    "# Copy each classes' images to train directory\n",
    "for j in range(len(train_imgs)):\n",
    "    original_path = os.path.join(os.path.join(base_path, classe), train_imgs[j])\n",
    "    new_path = os.path.join(train_path, train_imgs[j])\n",
    "    copyfile(original_path, new_path)\n",
    "\n",
    "# Copy each classes' images to test directory\n",
    "for j in range(len(test_imgs)):\n",
    "    original_path = os.path.join(os.path.join(base_path, classe), test_imgs[j])\n",
    "    new_path = os.path.join(test_path, test_imgs[j])\n",
    "    copyfile(original_path, new_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:16:38.094917Z",
     "start_time": "2019-11-29T20:16:38.089478Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of training images:  800\n",
      "number of test images:  1200\n"
     ]
    }
   ],
   "source": [
    "print('number of training images: ', len(os.listdir(train_path))) # subtract one because there is one hidden file named '.DS_Store'\n",
    "print('number of test images: ', len(os.listdir(test_path)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:19:37.938296Z",
     "start_time": "2019-11-29T20:19:37.929580Z"
    }
   },
   "outputs": [],
   "source": [
    "train_df = pd.DataFrame(columns=['FileName', 'XMin', 'XMax', 'YMin', 'YMax', 'ClassName'])\n",
    "\n",
    "# Find boxes in each image and put them in a dataframe\n",
    "train_imgs = os.listdir(train_path)\n",
    "train_imgs = [name for name in train_imgs if not name.startswith('.')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:23:20.130865Z",
     "start_time": "2019-11-29T20:22:42.890812Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse train_imgs 799; Number of boxes: 3310\r"
     ]
    }
   ],
   "source": [
    "for i in range(len(train_imgs)):\n",
    "    sys.stdout.write('Parse train_imgs ' + str(i) + '; Number of boxes: ' + str(len(train_df)) + '\\r')\n",
    "    sys.stdout.flush()\n",
    "    img_name = train_imgs[i]\n",
    "    img_id = img_name[0:16]\n",
    "    tmp_df = annotations[annotations['ImageID']==img_id]\n",
    "    for index, row in tmp_df.iterrows():\n",
    "        labelName = row['LabelName']\n",
    "        if labelName == label_name_person:\n",
    "            train_df = train_df.append({'FileName': img_name, \n",
    "                                        'XMin': row['XMin'], \n",
    "                                        'XMax': row['XMax'], \n",
    "                                        'YMin': row['YMin'], \n",
    "                                        'YMax': row['YMax'], \n",
    "                                        'ClassName': classe}, \n",
    "                                       ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### test images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:23:56.308282Z",
     "start_time": "2019-11-29T20:23:56.301550Z"
    }
   },
   "outputs": [],
   "source": [
    "test_df = pd.DataFrame(columns=['FileName', 'XMin', 'XMax', 'YMin', 'YMax', 'ClassName'])\n",
    "\n",
    "# Find boxes in each image and put them in a dataframe\n",
    "test_imgs = os.listdir(test_path)\n",
    "test_imgs = [name for name in test_imgs if not name.startswith('.')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:25:31.727355Z",
     "start_time": "2019-11-29T20:25:22.617477Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse test_imgs 1199; Number of boxes: 4816\r"
     ]
    }
   ],
   "source": [
    "\n",
    "for i in range(len(test_imgs)):\n",
    "    sys.stdout.write('Parse test_imgs ' + str(i) + '; Number of boxes: ' + str(len(test_df)) + '\\r')\n",
    "    sys.stdout.flush()\n",
    "    img_name = test_imgs[i]\n",
    "    img_id = img_name[0:16]\n",
    "    tmp_df = annotations[annotations['ImageID']==img_id]\n",
    "    for index, row in tmp_df.iterrows():\n",
    "        labelName = row['LabelName']\n",
    "        if labelName == label_name_person:\n",
    "            test_df = test_df.append({'FileName': img_name, \n",
    "                                        'XMin': row['XMin'], \n",
    "                                        'XMax': row['XMax'], \n",
    "                                        'YMin': row['YMin'], \n",
    "                                        'YMax': row['YMax'], \n",
    "                                        'ClassName': classe}, \n",
    "                                       ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### save temp files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:25:44.115584Z",
     "start_time": "2019-11-29T20:25:44.094949Z"
    }
   },
   "outputs": [],
   "source": [
    "train_df.to_csv(os.path.join(base_path, 'train.csv'))\n",
    "test_df.to_csv(os.path.join(base_path, 'test.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:35:25.643930Z",
     "start_time": "2019-11-29T20:35:08.840952Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3022\r"
     ]
    }
   ],
   "source": [
    "# print(train_df.head())\n",
    "train_df = pd.read_csv(os.path.join(base_path, 'train.csv'))\n",
    "\n",
    "# For training\n",
    "f= open(base_path + \"/annotation.txt\",\"w+\")\n",
    "for idx, row in train_df.iterrows():\n",
    "    sys.stdout.write(str(idx) + '\\r')\n",
    "    sys.stdout.flush()\n",
    "    img = cv2.imread((base_path + '/train/' + row['FileName']))\n",
    "    height, width = img.shape[:2]\n",
    "    x1 = int(row['XMin'] * width)\n",
    "    x2 = int(row['XMax'] * width)\n",
    "    y1 = int(row['YMin'] * height)\n",
    "    y2 = int(row['YMax'] * height)\n",
    "    \n",
    "    file_path = '/home/paulz/Documents/faster_rcnn/Dataset/train'\n",
    "    fileName = os.path.join(file_path, row['FileName'])\n",
    "    className = row['ClassName']\n",
    "    f.write(fileName + ',' + str(x1) + ',' + str(y1) + ',' + str(x2) + ',' + str(y2) + ',' + className + '\\n')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-29T20:36:26.230606Z",
     "start_time": "2019-11-29T20:36:21.645463Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "753\r"
     ]
    }
   ],
   "source": [
    "# For test\n",
    "test_df = pd.read_csv(os.path.join(base_path, 'test.csv'))\n",
    "f= open(base_path + \"/test_annotation.txt\",\"w+\")\n",
    "for idx, row in test_df.iterrows():\n",
    "    sys.stdout.write(str(idx) + '\\r')\n",
    "    sys.stdout.flush()\n",
    "    img = cv2.imread((base_path + '/test/' + row['FileName']))\n",
    "    height, width = img.shape[:2]\n",
    "    x1 = int(row['XMin'] * width)\n",
    "    x2 = int(row['XMax'] * width)\n",
    "    y1 = int(row['YMin'] * height)\n",
    "    y2 = int(row['YMax'] * height)\n",
    "    \n",
    "    file_path = '/home/paulz/Documents/faster_rcnn/Dataset/test'\n",
    "    fileName = os.path.join(file_path, row['FileName'])\n",
    "    className = row['ClassName']\n",
    "    f.write(fileName + ',' + str(x1) + ',' + str(y1) + ',' + str(x2) + ',' + str(y2) + ',' + className + '\\n')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FileName</th>\n",
       "      <th>XMin</th>\n",
       "      <th>XMax</th>\n",
       "      <th>YMin</th>\n",
       "      <th>YMax</th>\n",
       "      <th>ClassName</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>fab09de2306b132f.jpg</td>\n",
       "      <td>0.410625</td>\n",
       "      <td>0.546250</td>\n",
       "      <td>0.226667</td>\n",
       "      <td>0.956667</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>fab09de2306b132f.jpg</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.628750</td>\n",
       "      <td>0.263333</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>fab09de2306b132f.jpg</td>\n",
       "      <td>0.628750</td>\n",
       "      <td>0.732500</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.962222</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>fab09de2306b132f.jpg</td>\n",
       "      <td>0.676250</td>\n",
       "      <td>0.822500</td>\n",
       "      <td>0.190000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>fab09de2306b132f.jpg</td>\n",
       "      <td>0.799375</td>\n",
       "      <td>0.846875</td>\n",
       "      <td>0.237778</td>\n",
       "      <td>0.654444</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4821</th>\n",
       "      <td>6f59fbe6a5cd38e5.jpg</td>\n",
       "      <td>0.176563</td>\n",
       "      <td>0.209375</td>\n",
       "      <td>0.575000</td>\n",
       "      <td>0.726562</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4822</th>\n",
       "      <td>6f59fbe6a5cd38e5.jpg</td>\n",
       "      <td>0.176563</td>\n",
       "      <td>0.239063</td>\n",
       "      <td>0.596875</td>\n",
       "      <td>0.871875</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4823</th>\n",
       "      <td>6f59fbe6a5cd38e5.jpg</td>\n",
       "      <td>0.326562</td>\n",
       "      <td>0.998438</td>\n",
       "      <td>0.134375</td>\n",
       "      <td>0.998438</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4824</th>\n",
       "      <td>6f59fbe6a5cd38e5.jpg</td>\n",
       "      <td>0.459375</td>\n",
       "      <td>0.570312</td>\n",
       "      <td>0.595312</td>\n",
       "      <td>0.796875</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4825</th>\n",
       "      <td>6f59fbe6a5cd38e5.jpg</td>\n",
       "      <td>0.460938</td>\n",
       "      <td>0.501562</td>\n",
       "      <td>0.681250</td>\n",
       "      <td>0.745313</td>\n",
       "      <td>Person</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4826 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  FileName      XMin      XMax      YMin      YMax ClassName\n",
       "0     fab09de2306b132f.jpg  0.410625  0.546250  0.226667  0.956667    Person\n",
       "1     fab09de2306b132f.jpg  0.000000  0.628750  0.263333  0.960000    Person\n",
       "2     fab09de2306b132f.jpg  0.628750  0.732500  0.133333  0.962222    Person\n",
       "3     fab09de2306b132f.jpg  0.676250  0.822500  0.190000  0.990000    Person\n",
       "4     fab09de2306b132f.jpg  0.799375  0.846875  0.237778  0.654444    Person\n",
       "...                    ...       ...       ...       ...       ...       ...\n",
       "4821  6f59fbe6a5cd38e5.jpg  0.176563  0.209375  0.575000  0.726562    Person\n",
       "4822  6f59fbe6a5cd38e5.jpg  0.176563  0.239063  0.596875  0.871875    Person\n",
       "4823  6f59fbe6a5cd38e5.jpg  0.326562  0.998438  0.134375  0.998438    Person\n",
       "4824  6f59fbe6a5cd38e5.jpg  0.459375  0.570312  0.595312  0.796875    Person\n",
       "4825  6f59fbe6a5cd38e5.jpg  0.460938  0.501562  0.681250  0.745313    Person\n",
       "\n",
       "[4826 rows x 6 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm import tqdm_notebook as tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4825\r"
     ]
    }
   ],
   "source": [
    "# For training\n",
    "f= open(base_path + \"/annotation.txt\",\"w+\")\n",
    "for idx, row in test_df.iterrows():\n",
    "    sys.stdout.write(str(idx) + '\\r')\n",
    "    sys.stdout.flush()\n",
    "    img = cv2.imread((base_path + '/test/' + row['FileName']))\n",
    "    height, width = img.shape[:2]\n",
    "    x1 = int(row['XMin'] * width)\n",
    "    x2 = int(row['XMax'] * width)\n",
    "    y1 = int(row['YMin'] * height)\n",
    "    y2 = int(row['YMax'] * height)\n",
    "    \n",
    "    file_path = '/home/paulz/Documents/faster_rcnn/Dataset/train'\n",
    "    fileName = os.path.join(file_path, row['FileName'])\n",
    "    className = row['ClassName']\n",
    "    f.write(fileName + ',' + str(x1) + ',' + str(y1) + ',' + str(x2) + ',' + str(y2) + ',' + className + '\\n')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3314\r"
     ]
    }
   ],
   "source": [
    "# For test\n",
    "f= open(base_path + \"/test_annotation.txt\",\"w+\")\n",
    "for idx, row in train_df.iterrows():\n",
    "    sys.stdout.write(str(idx) + '\\r')\n",
    "    sys.stdout.flush()\n",
    "    img = cv2.imread((base_path + '/train/' + row['FileName']))\n",
    "    height, width = img.shape[:2]\n",
    "    x1 = int(row['XMin'] * width)\n",
    "    x2 = int(row['XMax'] * width)\n",
    "    y1 = int(row['YMin'] * height)\n",
    "    y2 = int(row['YMax'] * height)\n",
    "    \n",
    "    file_path = '/home/paulz/Documents/faster_rcnn/Dataset/test'\n",
    "    fileName = os.path.join(file_path, row['FileName'])\n",
    "    className = row['ClassName']\n",
    "    f.write(fileName + ',' + str(x1) + ',' + str(y1) + ',' + str(x2) + ',' + str(y2) + ',' + className + '\\n')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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