quick-start-tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set environment "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import rubetools\n",
    "from rubetools import PascalVOC, Yolo, MSCOCO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10/10 [00:00<00:00, 299.17it/s]\n",
      "2021-04-15 10:20:19 - Loaded 10 PascalVOC annotations.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<PascalVOC, annotations: 10, labels: 3>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pascal_img_dir = os.path.join('data/images')\n",
    "pascal_ann_dir = os.path.join('data/pascalvoc')\n",
    "pascalvoc = PascalVOC(ann_path=pascal_ann_dir, img_path=pascal_img_dir)\n",
    "pascalvoc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save data\n",
    "\n",
    "To save changes  in annotations call **save** method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pascalvoc.save()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### After loading annotations to memory you can do the following:\n",
    "1. convert to any implemented format\n",
    "2. rename classes\n",
    "3. slice images and corresponding annotations\n",
    "4. dataset split (train/test)\n",
    "5. object distribution statistics\n",
    "6. image and annotation name matching"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Convert annotations\n",
    "\n",
    "#### to **Yolo:**\n",
    "\n",
    "Converted to **Yolo** annotations will be saved in **save_path** directory in a separate folder. The images will not be saved as **is_save_images** equals **False**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10/10 [00:00<00:00, 1341.40it/s]\n",
      "2021-04-15 10:20:29 - Yolo. Saved 10 annotations.\n",
      "2021-04-15 10:20:29 - Saved in Yolo.\n"
     ]
    }
   ],
   "source": [
    "pascalvoc.convert_to(Yolo, save_path='output/yolo', is_save_images=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### to **MSCOCO:**\n",
    "\n",
    "You can save loaded annotation objects in any available formats, for instance, let's save annotations in **MSCOCO** and save images as well. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "10it [00:00, 5066.81it/s]\n",
      "2021-04-15 10:20:31 - MSCOCO. Saved 10 annotations.\n",
      "2021-04-15 10:20:31 - MSCOCO. Saved 10 images.\n",
      "2021-04-15 10:20:31 - Saved in MSCOCO.\n"
     ]
    }
   ],
   "source": [
    "pascalvoc.convert_to(MSCOCO, save_path='output/mscoco', is_save_images=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Rename classes\n",
    "\n",
    "If you want to unify class names, you can rename labels via **rename_classes** method. Set dictionary for renaming: key - initial class name, value - new class name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method rename_classes in module rubetools.formats.base:\n",
      "\n",
      "rename_classes(rename_dict: Dict[str, str]) method of rubetools.formats.pascalvoc.PascalVOC instance\n",
      "    Rename class labels for every annotation\n",
      "    :param rename_dict: class name renaming dictionary. key: old class name, value: new class name\n",
      "    :return:\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(pascalvoc.rename_classes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Statistics before renaming:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'hbox': {'small_vehicle': 217, 'large_vehicle': 20},\n",
       " 'keypoints': {},\n",
       " 'polygon': {}}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pascalvoc.labels_stat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-04-15 10:20:39 - Renamed 237 objects in 9 annotations.\n"
     ]
    }
   ],
   "source": [
    "pascalvoc.rename_classes(rename_dict={'small_vehicle': 'car', 'large_vehicle': 'car'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All objects with **small_vehicle** and **large_vehicle** were renamed to **car** class"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Statistics after renaming:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'hbox': {'car': 237}, 'keypoints': {}, 'polygon': {}}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pascalvoc.labels_stat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's save all changes in annotations in separate folder:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10/10 [00:00<00:00, 1415.56it/s]\n",
      "2021-04-15 10:20:48 - PascalVOC. Saved 10 annotations.\n",
      "2021-04-15 10:20:48 - Saved in PascalVOC.\n"
     ]
    }
   ],
   "source": [
    "pascalvoc.save(save_dir='output/pascalvoc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Image slicing\n",
    "Let's slice images into fragments of given size and with given step and save corresponding annotations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10/10 [00:00<00:00, 15.58it/s]\n",
      "2021-04-15 10:20:51 - Split 183 fragments from 10 images.\n"
     ]
    }
   ],
   "source": [
    "pascalvoc.slice_images(img_save_dir='output/pascalvoc', shape=(416, 416))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 183/183 [00:00<00:00, 6626.87it/s]\n",
      "2021-04-15 10:20:52 - PascalVOC. Saved 183 annotations.\n",
      "2021-04-15 10:20:52 - Saved in PascalVOC.\n"
     ]
    }
   ],
   "source": [
    "pascalvoc.save(save_dir='output/pascalvoc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Dataset split (train/test)\n",
    "\n",
    "Let's split our dataset into train and test. After that, we can work with them separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 146/146 [00:00<00:00, 4476.48it/s]\n",
      "2021-04-15 10:20:54 - PascalVOC. Saved 146 annotations.\n",
      "2021-04-15 10:20:54 - Saved in PascalVOC.\n",
      "100%|██████████| 37/37 [00:00<00:00, 6368.83it/s]\n",
      "2021-04-15 10:20:54 - PascalVOC. Saved 37 annotations.\n",
      "2021-04-15 10:20:54 - Saved in PascalVOC.\n"
     ]
    }
   ],
   "source": [
    "pascal_train, pascal_test = pascalvoc.split(ratio=(0.8, 0.2))\n",
    "pascal_train.save(save_dir='output/pascalvoc/train')\n",
    "pascal_test.save(save_dir='output/pascalvoc/test')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Statistics\n",
    "\n",
    "To conduct EDA you can use implemented methods to get statistics of key characteristics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Pandas - annotation object statistics:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .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>img_width</th>\n",
       "      <th>img_height</th>\n",
       "      <th>box_width</th>\n",
       "      <th>box_height</th>\n",
       "      <th>label</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DJI-00760-00021_13.jpg</td>\n",
       "      <td>416</td>\n",
       "      <td>416</td>\n",
       "      <td>42.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>car</td>\n",
       "      <td>Object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DJI-00760-00021_13.jpg</td>\n",
       "      <td>416</td>\n",
       "      <td>416</td>\n",
       "      <td>75.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>car</td>\n",
       "      <td>Object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DJI-00760-00021_13.jpg</td>\n",
       "      <td>416</td>\n",
       "      <td>416</td>\n",
       "      <td>74.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>car</td>\n",
       "      <td>Object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DJI-00760-00021_13.jpg</td>\n",
       "      <td>416</td>\n",
       "      <td>416</td>\n",
       "      <td>53.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>car</td>\n",
       "      <td>Object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DJI-00760-00023_13.jpg</td>\n",
       "      <td>416</td>\n",
       "      <td>416</td>\n",
       "      <td>71.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>car</td>\n",
       "      <td>Object</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 filename  img_width  img_height  box_width  box_height label  \\\n",
       "0  DJI-00760-00021_13.jpg        416         416       42.0        30.0   car   \n",
       "1  DJI-00760-00021_13.jpg        416         416       75.0        32.0   car   \n",
       "2  DJI-00760-00021_13.jpg        416         416       74.0        31.0   car   \n",
       "3  DJI-00760-00021_13.jpg        416         416       53.0        38.0   car   \n",
       "4  DJI-00760-00023_13.jpg        416         416       71.0        32.0   car   \n",
       "\n",
       "     type  \n",
       "0  Object  \n",
       "1  Object  \n",
       "2  Object  \n",
       "3  Object  \n",
       "4  Object  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pascalvoc.eda.info_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Class label bar graph:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bvigiVkTE0vZ1UMc2H4iIZRFxU0T8Xr9qlSRJGqSN+3isx4D3Z+bVEfEs4KqIuLBdd2JmfqSzc0TsBhwG7A5sC3wzInbJzLV9rFmSJKnv+nYGLTPvyMyr2+UHgRuAGRNsMg84MzMfycybgWXAnN5XKkmSNFgDuQYtImYBs4Er2qZ3RcS1EXFqRGzZts0Abu/YbDnjBLqIOCIilkTEkpUrV/aybEmSpL7oe0CLiC2ArwDvzcwHgE8BOwJ7AXcAJ6zP/jJzcWaOZObI9OnTJ7tcSZKkvutrQIuITWjC2b9m5lcBMvPOzFybmY8Dn+WJYcwVwHYdm89s2yRJkqa0ft7FGcApwA2Z+dGO9m06ur0euK5dPg84LCI2i4jtgZ2BK/tVryRJ0qD08y7OVwJvAr4fEUvbtmOAwyNiLyCBW4C3A2Tm9RFxFvADmjtAj/QOTkmSNAz6FtAy81Igxll1/gTbHAcc17OiJEmSCuSTBCRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpML0LaBFxHYRcUlE/CAiro+I97Ttz42ICyPiR+37lm17RMQ/RcSyiLg2Il7ar1olSZIGqZ9n0B4D3p+ZuwH7AEdGxG7A0cBFmbkzcFH7GeC1wM7t6wjgU32sVZIkaWD6FtAy847MvLpdfhC4AZgBzANOb7udDryuXZ4HfC4blwPTImKbftUrSZI0KAO5Bi0iZgGzgSuArTPzjnbVz4Ct2+UZwO0dmy1v28bu64iIWBIRS1auXNm7oiVJkvqk7wEtIrYAvgK8NzMf6FyXmQnk+uwvMxdn5khmjkyfPn0SK5UkSRqMvga0iNiEJpz9a2Z+tW2+c3Tosn2/q21fAWzXsfnMtk2SJGlK6+ddnAGcAtyQmR/tWHUesKBdXgCc29H+5vZuzn2A+zuGQiVJkqasjft4rFcCbwK+HxFL27ZjgOOBsyJiIXArML9ddz5wELAMeBh4ax9rlSRJGpi+BbTMvBSIdazeb5z+CRzZ06IkSZIK1NUQZ13X6wpWkiRJmmTdXoN2W13Xx9V1vUtPq5EkSVLXQ5wzaGb4P7qu6yuA04AvVVV1f68KkyRJGlbdBrRjgT8GdqV5TNPewEl1XZ9HM/v/BVVVrdf8ZZIkSRpfNNfid6eu6xcDh9CEtT15YlLZO4ATgJMGGdRGRkZyyZIlPT/O8des6fkxJEnS4Bw9e5OeHyMirsrMkfHWrdc8aFVV3UgzP9l3gJ+P7h/YFvgI8LGnUKckSZLocoizruvnAH8CLKR5hiY0wex24DM0Dz5fDLwR+MvJL1OSJGl4dHsN2k+BzWlCWQIXA58Azquq6nGAuq4PBd7QiyIlSZKGSbcB7ZnA/TQ3BHyyqqofjtPnZOA/JqswSZKkYdVtQPsL4AtVVT28rg5VVV0KXDopVUmSJA2xbm8SuBY4pK7rF4421HX9wrqu31zX9ct7U5okSdJw6vYM2sk0c6Bt29F2H/Ap4HpgziTXJUmSNLS6PYP2ImBZ55MDqqp6AFgGvLgXhUmSJA2rbgPaM4AZdV1vOtrQLs8ANupFYZIkScOq2yHOG2jmPzuzrusT27b3As8Fru5BXZIkSUOr24D2z8AngXnta1QCn53soiRJkoZZV0OcVVV9mmZiWmgmq412+eSqqj7Ti8IkSZKGVdfP4qyq6t3ADsD89rVDVVXv6VVhkiRJw6rbIU4Aqqq6Fbi1R7VIkiSJ7h+W/hvA0cB+wNY8McQJkFVV7diD2iRJkoZSt2fQPg38SbscY9bl5JUjSZKkbgPa77fvVwM3Ao/1phxJkiR1G9BWA/dWVfWyXhYjSZKk7u/iXAxsVdf1b/ayGEmSJHV/Bm174JnAjXVdXwys6liXVVUtnOzCJEmShlW3Ae1NNDcDPJtffZJAtO0GNEmSpEnSbUC7De/WlCRJ6ouuAlpVVbN6XIckSZJa6/UkgbquZwBzgF9UVXVBb0qSJEkabt0+SSCAjwHvoLnz84q6rp8P/AvwnqqqTu5diZIkScOl22k23g+8C9iIJ54kcDawFviDHtQlSZI0tLoNaEfQhLE3jjZUVfUgsBzYrQd1SZIkDa1uA9oLgeuqqvrimPb7gemTW5IkSdJw6zagrQJeUNf1b4w21HX9PGAX4L4e1CVJkjS0ug1olwDTgCXt553a5c2Biye/LEmSpOHVbUD7MPAA8CKaCWufRzPseT+wqCeVSZIkDamuAlpVVT8CRoDTgBva1+nA3u06SZIkTZKuJ6qtqurHwJ/1sBZJkiTR/US1b55ofVVVn5ucciRJktTtGbTTWPfD0hMwoEmSJE2S9XkWZzx5F0mSJD1V3Qa07cd8fg7wR8AHgT+Z1IokSZKGXFcBraqqW8dpvrau67nAu4F/m9SqJEmShli3Nwm8YEzTRsCOwO7A/5jsoiRJkoZZt0OcN0+w7qbJKESSJEmNbgPaum4QeAj460mqRZIkSXQf0N465nMCdwFXVFXlw9IlSZImUbc3CZz+VA8UEacCBwN3ZeZL2rZFwNuAlW23YzLz/HbdB4CFwFrgLzPz60+1BkmSpKeDSXmSQKcJnipwGnAyvz6p7YmZ+ZHOhojYDTiM5iaEbYFvRsQumbm22zokSZKeribjSQKd1vlUgcz8z4iY1eXx5gFnZuYjwM0RsQyYA1zW5faSJElPW89Yz/7RxWt9vSsiro2IUyNiy7ZtBnB7R5/lbZskSdKU121A+33gYeA4YI/2dSzNXZwH0zxpYHtgh/U8/qdo5lPbC7gDOGE9tycijoiIJRGxZOXKlU++gSRJUuG6HeI8Gri9qqoPd7RdV9f1IcDRVVX9zw05eGbeObocEZ8FvtZ+XAFs19F1Zts23j4WA4sBRkZGuhmGlSRJKlq3Z9DmANvWdb3NaENd179JM+w4sqEHj4htOj6+HriuXT4POCwiNouI7YGdgSs39DiSJElPJ92eQbsN2Am4sa7r77ZtrwC2AH7UzQ4i4gxgX2CriFgOVMC+EbEXzc0FtwBvB8jM6yPiLOAHwGPAkd7BKUmShsX6DHGeBTwLOKBtC5o5yo7qZgeZefg4zadM0P84mmveJEmShkpXQ5xVVZ0NvBT4PLC0fX0OmF1V1bm9Kk6SJGkYdXsGjaqqvg8s6GEtkiRJYj0CWl3Xs4APAPsAP6SZEuMA4CtVVV3fk+okSZKGULePetoV+C/gOTTXnv0ceBRYBEwH3t2j+iRJkoZOt9NsHA9Mo7mrEoCqqq4G7qO5M1OSJEmTpNuA9mrgZ8Bvj2m/nV+dUFaSJElPUbcBbVPg3qqqHh3TPg3YZFIrkiRJGnLdBrQfAbvWdf3n7efN67r+X8ALgJt6UpkkSdKQ6jagLaa5OeAzNLP+70lzXVoywWSzkiRJWn/dTlT7CeAT7cdoXwCfbtdJkiRpknR7Bo2qqt4N7ADMb187VlV1ZK8KkyRJGlZPOg9aXdebAHcC9wC7VFV1a8+rkiRJGmJPegatqqo1wGpgdVVV2fuSJEmShlu3Q5wnAS+q63r/HtYiSZIkun8W52uBx4EL6rq+iWbIc/RsWlZVtV8vipMkSRpG3Qa0V3csv7h9Jc3dnA57SpIkTaJ1BrS6rvcAfl5V1Y+Bb/evJEmSpOE20Rm0pcBlwCtpzqBdXlXVK/pRlCRJ0jCb6CaBBKbXdd3tMKgkSZImwUTh6w5gR+ARmrC2d13Xa8fpl1VVGeIkSZImyURn0L7Arz7WKSZ4SZIkaZKs88xXVVVH13V9GbA7cCywHB+MLkmS1HMTDk1WVXUucG5d1wcA11VVVfenLEmSpOHV1bVjVVXt2+M6JEmS1Or2UU+SJEnqEwOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVpm8BLSJOjYi7IuK6jrbnRsSFEfGj9n3Ltj0i4p8iYllEXBsRL+1XnZIkSYPWzzNopwEHjmk7GrgoM3cGLmo/A7wW2Ll9HQF8qk81SpIkDVzfAlpm/idw75jmecDp7fLpwOs62j+XjcuBaRGxTV8KlSRJGrBBX4O2dWbe0S7/DNi6XZ4B3N7Rb3nb9msi4oiIWBIRS1auXNm7SiVJkvpk0AHtlzIzgdyA7RZn5khmjkyfPr0HlUmSJPXXoAPanaNDl+37XW37CmC7jn4z2zZJkqQpb9AB7TxgQbu8ADi3o/3N7d2c+wD3dwyFSpIkTWkb9+tAEXEGsC+wVUQsByrgeOCsiFgI3ArMb7ufDxwELAMeBt7arzolSZIGrW8BLTMPX8eq/cbpm8CRva1IkiSpTIMe4pQkSdIYBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSrMxoMuACAibgEeBNYCj2XmSEQ8F/gSMAu4BZifmfcNqkZJkqR+KekM2tzM3CszR9rPRwMXZebOwEXtZ0mSpCmvpIA21jzg9Hb5dOB1gytFkiSpf0oJaAl8IyKuiogj2ratM/OOdvlnwNbjbRgRR0TEkohYsnLlyn7UKkmS1FNFXIMGvCozV0TE84ELI+LGzpWZmRGR422YmYuBxQAjIyPj9pEkSXo6KeIMWmauaN/vAs4G5gB3RsQ2AO37XYOrUJIkqX8GHtAi4jci4lmjy8ABwHXAecCCttsC4NzBVChJktRfJQxxbg2cHRHQ1PPFzLwgIv4bOCsiFgK3AvMHWKMkSVLfDDygZeZPgD3Hab8H2K//FUmSJA3WwIc4JUmS9KsMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVJjiA1pEHBgRN0XEsog4etD1SJIk9VrRAS0iNgI+AbwW2A04PCJ2G2xVkiRJvVV0QAPmAMsy8yeZ+ShwJjBvwDVJkiT11MaDLuBJzABu7/i8HNi7s0NEHAEc0X58KCJu6lNtkobHVsDdgy5CUv98oD+HeeG6VpQe0J5UZi4GFg+6DklTV0QsycyRQdchaXiUPsS5Atiu4/PMtk2SJGnKKj2g/Tewc0RsHxGbAocB5w24JkmSpJ4qeogzMx+LiHcBXwc2Ak7NzOsHXJak4eNlFJL6KjJz0DVIkiSpQ+lDnJIkSUPHgCZJklQYA5okSVJhDGiSJEmFMaBJ0gaIiBh0DZKmLgOaJK2HiNg0IrZKb4GX1EMGNEnqUnvW7IdAPehaJE1tBjRJ6kIbzg4Gzs/MIwddj6SpzYAmSd35IPBV4MURscWgi5E0tRnQJKkLmXks8GlgJrBnRGw04JIkTWE+6kmSJhARzwY2y8yV7ecvAjsA7wOuyMzHB1mfpKnJgCZJ44iIZwBnA9OBe4CvZ+bJ7bozgO2AY4BLDWmSJptDnJI0RhvOLgMeAj5AE9Q+FBHvBcjMw4FVwIeBTQdTpaSpbONBFyBJBZoP3J2ZfwoQEQuBh4G/iojMzI9l5sERMSMzVw+0UklTkgFNklrtmbM3A1cA17VtnwH2AF4GfBY4MSI2ycyPZOaKgRUraUpziFOS+GU4uwbYF9gEuDEiXgLMBl6bmfcAy4D30Ax5SlLPeAZNkhqfA76fmW8ZbYiINcCDwO9GxPOAQ4GXZ+ZPB1OipGFhQJOkxmbAZ6B53mZmPgrcCdwL/CEwArzecCapHwxokoZa+winZwK7A78FfBN4rL3ObFVEfAv4GvBAZt43uEolDROvQZM01LLxMHA8cERE/EFmPp6ZayLinTQ3DfzccCapnzyDJkmNrwAzgM9GxHeAnwMHAgdl5t0DrUzS0PFJApLUap+v+QrgAOAO4MLM/NFgq5I0jAxokiRJhfEaNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMP8f1+BTQlQsfTEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pascalvoc.eda.classes_histogram()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Image size distribution:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pascalvoc.eda.image_size_histogram()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Object size distribution in relative values:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pascalvoc.eda.objects_frequency_scatter()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Channel-wise brightness distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 183/183 [00:00<00:00, 439.32it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pascalvoc.eda.image_color_histogram()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}