Setup Transfer Learning in PyTorch.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction: Transfer Learning in PyTorch\n",
    "\n",
    "In this notebook, we'll see how to use PyTorch to train a classifier to identify 101 different objects in images. Through this project, we'll get familiar with the basics of transfer learning, PyTorch, convolutional neural networks, and inference. \n",
    "\n",
    "## Dataset: CalTech 101\n",
    "\n",
    "The dataset is the [CalTech 101 collection](http://www.vision.caltech.edu/Image_Datasets/Caltech101/) of images from 101 categories. There are about 40 to 800 images in each category. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchvision import transforms, datasets, models\n",
    "from torch import optim, cuda\n",
    "from torch.utils.data import DataLoader, sampler\n",
    "import torch.nn as nn\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import os\n",
    "\n",
    "from PIL import Image\n",
    "from torchsummary import summary\n",
    "from timeit import default_timer as timer\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['font.size'] = 14\n",
    "\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = 'all'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Parameters\n",
    "\n",
    "The parameters in this cell can be changed as needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on gpu: True\n"
     ]
    }
   ],
   "source": [
    "trained_model = False\n",
    "batch_size = 16\n",
    "\n",
    "train_on_gpu = cuda.is_available()\n",
    "print(f'Train on gpu: {train_on_gpu}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>category</th>\n",
       "      <th>n_test</th>\n",
       "      <th>n_train</th>\n",
       "      <th>n_valid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>wheelchair</td>\n",
       "      <td>15</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>wild_cat</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>windsor_chair</td>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>wrench</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>yin_yang</td>\n",
       "      <td>15</td>\n",
       "      <td>30</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         category  n_test  n_train  n_valid\n",
       "88     wheelchair      15       29       15\n",
       "52       wild_cat       9       16        9\n",
       "42  windsor_chair      14       28       14\n",
       "77         wrench      10       19       10\n",
       "48       yin_yang      15       30       15"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datadir = '/home/ubuntu/data/101_ObjectCategories/'\n",
    "traindir = datadir + 'train/'\n",
    "validdir = datadir + 'valid/'\n",
    "testdir = datadir + 'test/'\n",
    "\n",
    "categories = []\n",
    "img_categories = []\n",
    "n_train = []\n",
    "n_valid = []\n",
    "n_test = []\n",
    "hs = []\n",
    "ws = []\n",
    "\n",
    "for d in os.listdir(traindir):\n",
    "    categories.append(d)\n",
    "    train_imgs = os.listdir(traindir + d)\n",
    "    valid_imgs = os.listdir(validdir + d)\n",
    "    test_imgs = os.listdir(testdir + d)\n",
    "    n_train.append(len(train_imgs))\n",
    "    n_valid.append(len(valid_imgs))\n",
    "    n_test.append(len(test_imgs))\n",
    "    \n",
    "    for i in train_imgs:\n",
    "        img_categories.append(d)\n",
    "        img = Image.open(traindir + d + '/' + i)\n",
    "        img_array = np.array(img)\n",
    "        hs.append(img_array.shape[0])\n",
    "        ws.append(img_array.shape[1])\n",
    "    \n",
    "cat_df = pd.DataFrame({'category': categories, \n",
    "                         'n_train': n_train,\n",
    "                         'n_valid': n_valid, 'n_test': n_test}).\\\n",
    "              sort_values('category')\n",
    "\n",
    "image_df = pd.DataFrame({'category': img_categories, \n",
    "                        'height': hs, 'width': ws})\n",
    "\n",
    "cat_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_df.to_csv('categories.csv', index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_df.set_index('category')['n_train'].plot.bar(color = 'r',\n",
    "                                             figsize = (20, 6))\n",
    "plt.xticks(rotation = 80);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">height</th>\n",
       "      <th colspan=\"8\" halign=\"left\">width</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>category</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Faces_easy</th>\n",
       "      <td>435.0</td>\n",
       "      <td>318.894253</td>\n",
       "      <td>24.333566</td>\n",
       "      <td>237.0</td>\n",
       "      <td>302.00</td>\n",
       "      <td>318.0</td>\n",
       "      <td>332.00</td>\n",
       "      <td>381.0</td>\n",
       "      <td>435.0</td>\n",
       "      <td>274.340230</td>\n",
       "      <td>17.833694</td>\n",
       "      <td>247.0</td>\n",
       "      <td>266.00</td>\n",
       "      <td>272.0</td>\n",
       "      <td>281.50</td>\n",
       "      <td>433.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leopards</th>\n",
       "      <td>200.0</td>\n",
       "      <td>138.240000</td>\n",
       "      <td>23.521665</td>\n",
       "      <td>128.0</td>\n",
       "      <td>128.00</td>\n",
       "      <td>128.0</td>\n",
       "      <td>128.00</td>\n",
       "      <td>192.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>181.760000</td>\n",
       "      <td>23.521665</td>\n",
       "      <td>128.0</td>\n",
       "      <td>192.00</td>\n",
       "      <td>192.0</td>\n",
       "      <td>192.00</td>\n",
       "      <td>192.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Motorbikes</th>\n",
       "      <td>798.0</td>\n",
       "      <td>164.946115</td>\n",
       "      <td>18.790754</td>\n",
       "      <td>121.0</td>\n",
       "      <td>152.00</td>\n",
       "      <td>163.0</td>\n",
       "      <td>175.00</td>\n",
       "      <td>261.0</td>\n",
       "      <td>798.0</td>\n",
       "      <td>262.827068</td>\n",
       "      <td>3.719482</td>\n",
       "      <td>231.0</td>\n",
       "      <td>261.00</td>\n",
       "      <td>261.0</td>\n",
       "      <td>263.00</td>\n",
       "      <td>282.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accordion</th>\n",
       "      <td>55.0</td>\n",
       "      <td>255.672727</td>\n",
       "      <td>35.771939</td>\n",
       "      <td>191.0</td>\n",
       "      <td>225.50</td>\n",
       "      <td>255.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>285.672727</td>\n",
       "      <td>27.662687</td>\n",
       "      <td>209.0</td>\n",
       "      <td>292.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>airplanes</th>\n",
       "      <td>800.0</td>\n",
       "      <td>157.807500</td>\n",
       "      <td>27.343327</td>\n",
       "      <td>101.0</td>\n",
       "      <td>141.00</td>\n",
       "      <td>154.0</td>\n",
       "      <td>170.00</td>\n",
       "      <td>494.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>402.341250</td>\n",
       "      <td>9.017702</td>\n",
       "      <td>356.0</td>\n",
       "      <td>396.00</td>\n",
       "      <td>401.0</td>\n",
       "      <td>406.00</td>\n",
       "      <td>457.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anchor</th>\n",
       "      <td>42.0</td>\n",
       "      <td>249.714286</td>\n",
       "      <td>41.774240</td>\n",
       "      <td>167.0</td>\n",
       "      <td>224.25</td>\n",
       "      <td>256.0</td>\n",
       "      <td>294.75</td>\n",
       "      <td>300.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>291.404762</td>\n",
       "      <td>20.999488</td>\n",
       "      <td>218.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ant</th>\n",
       "      <td>42.0</td>\n",
       "      <td>212.285714</td>\n",
       "      <td>43.884708</td>\n",
       "      <td>103.0</td>\n",
       "      <td>178.75</td>\n",
       "      <td>209.5</td>\n",
       "      <td>238.25</td>\n",
       "      <td>300.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>299.333333</td>\n",
       "      <td>4.165284</td>\n",
       "      <td>273.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>barrel</th>\n",
       "      <td>47.0</td>\n",
       "      <td>290.319149</td>\n",
       "      <td>27.614667</td>\n",
       "      <td>188.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>244.872340</td>\n",
       "      <td>39.052705</td>\n",
       "      <td>168.0</td>\n",
       "      <td>212.00</td>\n",
       "      <td>242.0</td>\n",
       "      <td>280.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bass</th>\n",
       "      <td>54.0</td>\n",
       "      <td>187.111111</td>\n",
       "      <td>45.003005</td>\n",
       "      <td>129.0</td>\n",
       "      <td>148.50</td>\n",
       "      <td>181.0</td>\n",
       "      <td>205.75</td>\n",
       "      <td>300.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>298.722222</td>\n",
       "      <td>6.319830</td>\n",
       "      <td>264.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beaver</th>\n",
       "      <td>46.0</td>\n",
       "      <td>221.826087</td>\n",
       "      <td>42.358420</td>\n",
       "      <td>153.0</td>\n",
       "      <td>193.25</td>\n",
       "      <td>214.0</td>\n",
       "      <td>240.75</td>\n",
       "      <td>300.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>296.760870</td>\n",
       "      <td>13.011422</td>\n",
       "      <td>215.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>binocular</th>\n",
       "      <td>33.0</td>\n",
       "      <td>275.333333</td>\n",
       "      <td>36.555323</td>\n",
       "      <td>150.0</td>\n",
       "      <td>245.00</td>\n",
       "      <td>298.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>272.393939</td>\n",
       "      <td>45.879557</td>\n",
       "      <td>159.0</td>\n",
       "      <td>261.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bonsai</th>\n",
       "      <td>128.0</td>\n",
       "      <td>280.609375</td>\n",
       "      <td>32.330779</td>\n",
       "      <td>164.0</td>\n",
       "      <td>269.75</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>263.546875</td>\n",
       "      <td>37.903287</td>\n",
       "      <td>159.0</td>\n",
       "      <td>231.00</td>\n",
       "      <td>270.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brain</th>\n",
       "      <td>98.0</td>\n",
       "      <td>247.775510</td>\n",
       "      <td>30.491010</td>\n",
       "      <td>170.0</td>\n",
       "      <td>225.00</td>\n",
       "      <td>249.0</td>\n",
       "      <td>266.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>297.734694</td>\n",
       "      <td>9.625515</td>\n",
       "      <td>238.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brontosaurus</th>\n",
       "      <td>43.0</td>\n",
       "      <td>227.697674</td>\n",
       "      <td>46.333437</td>\n",
       "      <td>130.0</td>\n",
       "      <td>196.00</td>\n",
       "      <td>221.0</td>\n",
       "      <td>260.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>291.162791</td>\n",
       "      <td>21.609004</td>\n",
       "      <td>215.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>buddha</th>\n",
       "      <td>85.0</td>\n",
       "      <td>293.564706</td>\n",
       "      <td>19.652606</td>\n",
       "      <td>219.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>243.494118</td>\n",
       "      <td>39.777842</td>\n",
       "      <td>163.0</td>\n",
       "      <td>212.00</td>\n",
       "      <td>242.0</td>\n",
       "      <td>278.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butterfly</th>\n",
       "      <td>91.0</td>\n",
       "      <td>246.538462</td>\n",
       "      <td>37.842747</td>\n",
       "      <td>178.0</td>\n",
       "      <td>216.00</td>\n",
       "      <td>248.0</td>\n",
       "      <td>278.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>296.637363</td>\n",
       "      <td>14.231824</td>\n",
       "      <td>211.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>camera</th>\n",
       "      <td>50.0</td>\n",
       "      <td>251.520000</td>\n",
       "      <td>40.968500</td>\n",
       "      <td>156.0</td>\n",
       "      <td>225.00</td>\n",
       "      <td>247.5</td>\n",
       "      <td>297.75</td>\n",
       "      <td>300.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>295.220000</td>\n",
       "      <td>12.438075</td>\n",
       "      <td>233.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cannon</th>\n",
       "      <td>43.0</td>\n",
       "      <td>230.813953</td>\n",
       "      <td>37.531102</td>\n",
       "      <td>160.0</td>\n",
       "      <td>206.50</td>\n",
       "      <td>225.0</td>\n",
       "      <td>264.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>299.302326</td>\n",
       "      <td>3.313284</td>\n",
       "      <td>280.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>car_side</th>\n",
       "      <td>123.0</td>\n",
       "      <td>197.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>197.0</td>\n",
       "      <td>197.00</td>\n",
       "      <td>197.0</td>\n",
       "      <td>197.00</td>\n",
       "      <td>197.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ceiling_fan</th>\n",
       "      <td>47.0</td>\n",
       "      <td>191.106383</td>\n",
       "      <td>36.782696</td>\n",
       "      <td>92.0</td>\n",
       "      <td>164.50</td>\n",
       "      <td>192.0</td>\n",
       "      <td>224.50</td>\n",
       "      <td>283.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cellphone</th>\n",
       "      <td>59.0</td>\n",
       "      <td>283.762712</td>\n",
       "      <td>35.508299</td>\n",
       "      <td>164.0</td>\n",
       "      <td>296.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>244.966102</td>\n",
       "      <td>43.973333</td>\n",
       "      <td>165.0</td>\n",
       "      <td>207.00</td>\n",
       "      <td>239.0</td>\n",
       "      <td>297.50</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chair</th>\n",
       "      <td>62.0</td>\n",
       "      <td>296.983871</td>\n",
       "      <td>11.324559</td>\n",
       "      <td>225.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>230.693548</td>\n",
       "      <td>37.615653</td>\n",
       "      <td>173.0</td>\n",
       "      <td>200.25</td>\n",
       "      <td>224.5</td>\n",
       "      <td>251.50</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chandelier</th>\n",
       "      <td>107.0</td>\n",
       "      <td>273.906542</td>\n",
       "      <td>34.510740</td>\n",
       "      <td>191.0</td>\n",
       "      <td>242.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>269.000000</td>\n",
       "      <td>37.339341</td>\n",
       "      <td>167.0</td>\n",
       "      <td>237.00</td>\n",
       "      <td>296.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cougar_body</th>\n",
       "      <td>47.0</td>\n",
       "      <td>237.489362</td>\n",
       "      <td>52.251429</td>\n",
       "      <td>133.0</td>\n",
       "      <td>196.50</td>\n",
       "      <td>226.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>285.446809</td>\n",
       "      <td>27.992086</td>\n",
       "      <td>204.0</td>\n",
       "      <td>288.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cougar_face</th>\n",
       "      <td>69.0</td>\n",
       "      <td>279.898551</td>\n",
       "      <td>26.441470</td>\n",
       "      <td>188.0</td>\n",
       "      <td>266.00</td>\n",
       "      <td>290.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>288.565217</td>\n",
       "      <td>20.205909</td>\n",
       "      <td>217.0</td>\n",
       "      <td>283.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crab</th>\n",
       "      <td>73.0</td>\n",
       "      <td>229.575342</td>\n",
       "      <td>38.568452</td>\n",
       "      <td>174.0</td>\n",
       "      <td>199.00</td>\n",
       "      <td>225.0</td>\n",
       "      <td>255.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>298.205479</td>\n",
       "      <td>7.483238</td>\n",
       "      <td>253.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crayfish</th>\n",
       "      <td>70.0</td>\n",
       "      <td>216.157143</td>\n",
       "      <td>30.618568</td>\n",
       "      <td>147.0</td>\n",
       "      <td>200.00</td>\n",
       "      <td>217.5</td>\n",
       "      <td>229.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>297.857143</td>\n",
       "      <td>12.585114</td>\n",
       "      <td>225.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crocodile</th>\n",
       "      <td>50.0</td>\n",
       "      <td>180.660000</td>\n",
       "      <td>36.069440</td>\n",
       "      <td>115.0</td>\n",
       "      <td>157.00</td>\n",
       "      <td>180.5</td>\n",
       "      <td>200.00</td>\n",
       "      <td>296.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>299.980000</td>\n",
       "      <td>0.141421</td>\n",
       "      <td>299.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crocodile_head</th>\n",
       "      <td>51.0</td>\n",
       "      <td>233.450980</td>\n",
       "      <td>35.085218</td>\n",
       "      <td>174.0</td>\n",
       "      <td>209.50</td>\n",
       "      <td>225.0</td>\n",
       "      <td>258.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>298.392157</td>\n",
       "      <td>6.690526</td>\n",
       "      <td>264.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cup</th>\n",
       "      <td>57.0</td>\n",
       "      <td>263.614035</td>\n",
       "      <td>35.377431</td>\n",
       "      <td>174.0</td>\n",
       "      <td>233.00</td>\n",
       "      <td>269.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>287.666667</td>\n",
       "      <td>27.458627</td>\n",
       "      <td>191.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pigeon</th>\n",
       "      <td>45.0</td>\n",
       "      <td>249.422222</td>\n",
       "      <td>37.051248</td>\n",
       "      <td>185.0</td>\n",
       "      <td>220.00</td>\n",
       "      <td>254.0</td>\n",
       "      <td>279.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>292.800000</td>\n",
       "      <td>22.977855</td>\n",
       "      <td>196.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pizza</th>\n",
       "      <td>53.0</td>\n",
       "      <td>248.188679</td>\n",
       "      <td>38.885956</td>\n",
       "      <td>155.0</td>\n",
       "      <td>225.00</td>\n",
       "      <td>238.0</td>\n",
       "      <td>287.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>296.905660</td>\n",
       "      <td>11.132531</td>\n",
       "      <td>241.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>platypus</th>\n",
       "      <td>34.0</td>\n",
       "      <td>236.794118</td>\n",
       "      <td>45.957674</td>\n",
       "      <td>160.0</td>\n",
       "      <td>203.00</td>\n",
       "      <td>225.0</td>\n",
       "      <td>289.25</td>\n",
       "      <td>300.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>293.529412</td>\n",
       "      <td>18.924468</td>\n",
       "      <td>225.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pyramid</th>\n",
       "      <td>57.0</td>\n",
       "      <td>233.421053</td>\n",
       "      <td>40.292213</td>\n",
       "      <td>173.0</td>\n",
       "      <td>200.00</td>\n",
       "      <td>221.0</td>\n",
       "      <td>270.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>296.473684</td>\n",
       "      <td>14.612990</td>\n",
       "      <td>199.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>revolver</th>\n",
       "      <td>82.0</td>\n",
       "      <td>198.439024</td>\n",
       "      <td>38.146921</td>\n",
       "      <td>145.0</td>\n",
       "      <td>166.75</td>\n",
       "      <td>196.0</td>\n",
       "      <td>215.25</td>\n",
       "      <td>300.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>297.804878</td>\n",
       "      <td>14.317768</td>\n",
       "      <td>190.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rhino</th>\n",
       "      <td>59.0</td>\n",
       "      <td>209.745763</td>\n",
       "      <td>27.339244</td>\n",
       "      <td>155.0</td>\n",
       "      <td>195.00</td>\n",
       "      <td>204.0</td>\n",
       "      <td>224.50</td>\n",
       "      <td>288.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rooster</th>\n",
       "      <td>49.0</td>\n",
       "      <td>282.816327</td>\n",
       "      <td>27.015176</td>\n",
       "      <td>204.0</td>\n",
       "      <td>269.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>276.959184</td>\n",
       "      <td>29.335672</td>\n",
       "      <td>206.0</td>\n",
       "      <td>260.00</td>\n",
       "      <td>296.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saxophone</th>\n",
       "      <td>40.0</td>\n",
       "      <td>294.725000</td>\n",
       "      <td>15.843768</td>\n",
       "      <td>221.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>223.550000</td>\n",
       "      <td>51.455707</td>\n",
       "      <td>134.0</td>\n",
       "      <td>178.00</td>\n",
       "      <td>223.5</td>\n",
       "      <td>269.25</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>schooner</th>\n",
       "      <td>63.0</td>\n",
       "      <td>245.619048</td>\n",
       "      <td>40.788371</td>\n",
       "      <td>124.0</td>\n",
       "      <td>214.00</td>\n",
       "      <td>242.0</td>\n",
       "      <td>283.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>292.142857</td>\n",
       "      <td>23.896860</td>\n",
       "      <td>162.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scissors</th>\n",
       "      <td>39.0</td>\n",
       "      <td>292.128205</td>\n",
       "      <td>27.084837</td>\n",
       "      <td>153.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>207.051282</td>\n",
       "      <td>56.567588</td>\n",
       "      <td>105.0</td>\n",
       "      <td>170.50</td>\n",
       "      <td>195.0</td>\n",
       "      <td>245.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scorpion</th>\n",
       "      <td>84.0</td>\n",
       "      <td>228.607143</td>\n",
       "      <td>35.187285</td>\n",
       "      <td>153.0</td>\n",
       "      <td>201.75</td>\n",
       "      <td>225.0</td>\n",
       "      <td>247.25</td>\n",
       "      <td>300.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>298.500000</td>\n",
       "      <td>10.088166</td>\n",
       "      <td>210.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sea_horse</th>\n",
       "      <td>57.0</td>\n",
       "      <td>280.087719</td>\n",
       "      <td>35.154395</td>\n",
       "      <td>176.0</td>\n",
       "      <td>276.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>241.929825</td>\n",
       "      <td>45.865821</td>\n",
       "      <td>164.0</td>\n",
       "      <td>201.00</td>\n",
       "      <td>225.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>snoopy</th>\n",
       "      <td>35.0</td>\n",
       "      <td>280.371429</td>\n",
       "      <td>30.624947</td>\n",
       "      <td>197.0</td>\n",
       "      <td>275.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>268.857143</td>\n",
       "      <td>36.035230</td>\n",
       "      <td>200.0</td>\n",
       "      <td>234.00</td>\n",
       "      <td>288.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soccer_ball</th>\n",
       "      <td>64.0</td>\n",
       "      <td>274.078125</td>\n",
       "      <td>37.829737</td>\n",
       "      <td>179.0</td>\n",
       "      <td>256.00</td>\n",
       "      <td>295.5</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>292.984375</td>\n",
       "      <td>17.643284</td>\n",
       "      <td>215.0</td>\n",
       "      <td>298.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stapler</th>\n",
       "      <td>45.0</td>\n",
       "      <td>244.088889</td>\n",
       "      <td>48.711499</td>\n",
       "      <td>147.0</td>\n",
       "      <td>206.00</td>\n",
       "      <td>248.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>299.200000</td>\n",
       "      <td>4.424108</td>\n",
       "      <td>271.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>starfish</th>\n",
       "      <td>86.0</td>\n",
       "      <td>260.372093</td>\n",
       "      <td>38.915307</td>\n",
       "      <td>124.0</td>\n",
       "      <td>225.00</td>\n",
       "      <td>275.0</td>\n",
       "      <td>295.75</td>\n",
       "      <td>300.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>294.104651</td>\n",
       "      <td>16.114319</td>\n",
       "      <td>207.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stegosaurus</th>\n",
       "      <td>59.0</td>\n",
       "      <td>206.593220</td>\n",
       "      <td>31.497191</td>\n",
       "      <td>147.0</td>\n",
       "      <td>186.50</td>\n",
       "      <td>200.0</td>\n",
       "      <td>225.00</td>\n",
       "      <td>286.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stop_sign</th>\n",
       "      <td>64.0</td>\n",
       "      <td>277.953125</td>\n",
       "      <td>34.517734</td>\n",
       "      <td>184.0</td>\n",
       "      <td>264.50</td>\n",
       "      <td>297.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>276.296875</td>\n",
       "      <td>43.457580</td>\n",
       "      <td>151.0</td>\n",
       "      <td>284.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>strawberry</th>\n",
       "      <td>35.0</td>\n",
       "      <td>270.714286</td>\n",
       "      <td>39.920193</td>\n",
       "      <td>172.0</td>\n",
       "      <td>235.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>271.742857</td>\n",
       "      <td>33.331969</td>\n",
       "      <td>200.0</td>\n",
       "      <td>243.50</td>\n",
       "      <td>297.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sunflower</th>\n",
       "      <td>85.0</td>\n",
       "      <td>267.729412</td>\n",
       "      <td>39.938461</td>\n",
       "      <td>194.0</td>\n",
       "      <td>225.00</td>\n",
       "      <td>296.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>270.329412</td>\n",
       "      <td>41.282242</td>\n",
       "      <td>159.0</td>\n",
       "      <td>230.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tick</th>\n",
       "      <td>49.0</td>\n",
       "      <td>283.306122</td>\n",
       "      <td>29.344366</td>\n",
       "      <td>203.0</td>\n",
       "      <td>278.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>268.122449</td>\n",
       "      <td>30.497017</td>\n",
       "      <td>200.0</td>\n",
       "      <td>245.00</td>\n",
       "      <td>275.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trilobite</th>\n",
       "      <td>86.0</td>\n",
       "      <td>293.802326</td>\n",
       "      <td>18.604756</td>\n",
       "      <td>200.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>241.639535</td>\n",
       "      <td>37.379111</td>\n",
       "      <td>164.0</td>\n",
       "      <td>214.25</td>\n",
       "      <td>229.5</td>\n",
       "      <td>270.75</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>umbrella</th>\n",
       "      <td>75.0</td>\n",
       "      <td>259.146667</td>\n",
       "      <td>41.033834</td>\n",
       "      <td>132.0</td>\n",
       "      <td>225.00</td>\n",
       "      <td>266.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>294.093333</td>\n",
       "      <td>18.369462</td>\n",
       "      <td>188.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>watch</th>\n",
       "      <td>239.0</td>\n",
       "      <td>229.635983</td>\n",
       "      <td>47.915600</td>\n",
       "      <td>138.0</td>\n",
       "      <td>191.00</td>\n",
       "      <td>225.0</td>\n",
       "      <td>271.50</td>\n",
       "      <td>300.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>292.209205</td>\n",
       "      <td>21.974158</td>\n",
       "      <td>183.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>water_lilly</th>\n",
       "      <td>37.0</td>\n",
       "      <td>244.567568</td>\n",
       "      <td>45.812747</td>\n",
       "      <td>157.0</td>\n",
       "      <td>212.00</td>\n",
       "      <td>228.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>282.567568</td>\n",
       "      <td>32.373292</td>\n",
       "      <td>203.0</td>\n",
       "      <td>289.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wheelchair</th>\n",
       "      <td>59.0</td>\n",
       "      <td>282.644068</td>\n",
       "      <td>27.577954</td>\n",
       "      <td>199.0</td>\n",
       "      <td>271.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>281.711864</td>\n",
       "      <td>27.188392</td>\n",
       "      <td>204.0</td>\n",
       "      <td>271.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wild_cat</th>\n",
       "      <td>34.0</td>\n",
       "      <td>227.735294</td>\n",
       "      <td>40.827285</td>\n",
       "      <td>148.0</td>\n",
       "      <td>199.50</td>\n",
       "      <td>225.5</td>\n",
       "      <td>243.75</td>\n",
       "      <td>300.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>290.588235</td>\n",
       "      <td>27.424958</td>\n",
       "      <td>194.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>windsor_chair</th>\n",
       "      <td>56.0</td>\n",
       "      <td>298.928571</td>\n",
       "      <td>8.017837</td>\n",
       "      <td>240.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>210.839286</td>\n",
       "      <td>36.087659</td>\n",
       "      <td>159.0</td>\n",
       "      <td>186.75</td>\n",
       "      <td>200.5</td>\n",
       "      <td>230.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wrench</th>\n",
       "      <td>39.0</td>\n",
       "      <td>210.358974</td>\n",
       "      <td>68.165235</td>\n",
       "      <td>104.0</td>\n",
       "      <td>165.00</td>\n",
       "      <td>188.0</td>\n",
       "      <td>294.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>298.948718</td>\n",
       "      <td>4.893329</td>\n",
       "      <td>272.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yin_yang</th>\n",
       "      <td>60.0</td>\n",
       "      <td>283.383333</td>\n",
       "      <td>25.876559</td>\n",
       "      <td>197.0</td>\n",
       "      <td>279.50</td>\n",
       "      <td>296.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>292.550000</td>\n",
       "      <td>18.646965</td>\n",
       "      <td>217.0</td>\n",
       "      <td>299.00</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               height                                                       \\\n",
       "                count        mean        std    min     25%    50%     75%   \n",
       "category                                                                     \n",
       "Faces_easy      435.0  318.894253  24.333566  237.0  302.00  318.0  332.00   \n",
       "Leopards        200.0  138.240000  23.521665  128.0  128.00  128.0  128.00   \n",
       "Motorbikes      798.0  164.946115  18.790754  121.0  152.00  163.0  175.00   \n",
       "accordion        55.0  255.672727  35.771939  191.0  225.50  255.0  300.00   \n",
       "airplanes       800.0  157.807500  27.343327  101.0  141.00  154.0  170.00   \n",
       "anchor           42.0  249.714286  41.774240  167.0  224.25  256.0  294.75   \n",
       "ant              42.0  212.285714  43.884708  103.0  178.75  209.5  238.25   \n",
       "barrel           47.0  290.319149  27.614667  188.0  300.00  300.0  300.00   \n",
       "bass             54.0  187.111111  45.003005  129.0  148.50  181.0  205.75   \n",
       "beaver           46.0  221.826087  42.358420  153.0  193.25  214.0  240.75   \n",
       "binocular        33.0  275.333333  36.555323  150.0  245.00  298.0  300.00   \n",
       "bonsai          128.0  280.609375  32.330779  164.0  269.75  300.0  300.00   \n",
       "brain            98.0  247.775510  30.491010  170.0  225.00  249.0  266.50   \n",
       "brontosaurus     43.0  227.697674  46.333437  130.0  196.00  221.0  260.50   \n",
       "buddha           85.0  293.564706  19.652606  219.0  300.00  300.0  300.00   \n",
       "butterfly        91.0  246.538462  37.842747  178.0  216.00  248.0  278.00   \n",
       "camera           50.0  251.520000  40.968500  156.0  225.00  247.5  297.75   \n",
       "cannon           43.0  230.813953  37.531102  160.0  206.50  225.0  264.00   \n",
       "car_side        123.0  197.000000   0.000000  197.0  197.00  197.0  197.00   \n",
       "ceiling_fan      47.0  191.106383  36.782696   92.0  164.50  192.0  224.50   \n",
       "cellphone        59.0  283.762712  35.508299  164.0  296.50  300.0  300.00   \n",
       "chair            62.0  296.983871  11.324559  225.0  300.00  300.0  300.00   \n",
       "chandelier      107.0  273.906542  34.510740  191.0  242.50  300.0  300.00   \n",
       "cougar_body      47.0  237.489362  52.251429  133.0  196.50  226.0  300.00   \n",
       "cougar_face      69.0  279.898551  26.441470  188.0  266.00  290.0  300.00   \n",
       "crab             73.0  229.575342  38.568452  174.0  199.00  225.0  255.00   \n",
       "crayfish         70.0  216.157143  30.618568  147.0  200.00  217.5  229.50   \n",
       "crocodile        50.0  180.660000  36.069440  115.0  157.00  180.5  200.00   \n",
       "crocodile_head   51.0  233.450980  35.085218  174.0  209.50  225.0  258.00   \n",
       "cup              57.0  263.614035  35.377431  174.0  233.00  269.0  300.00   \n",
       "...               ...         ...        ...    ...     ...    ...     ...   \n",
       "pigeon           45.0  249.422222  37.051248  185.0  220.00  254.0  279.00   \n",
       "pizza            53.0  248.188679  38.885956  155.0  225.00  238.0  287.00   \n",
       "platypus         34.0  236.794118  45.957674  160.0  203.00  225.0  289.25   \n",
       "pyramid          57.0  233.421053  40.292213  173.0  200.00  221.0  270.00   \n",
       "revolver         82.0  198.439024  38.146921  145.0  166.75  196.0  215.25   \n",
       "rhino            59.0  209.745763  27.339244  155.0  195.00  204.0  224.50   \n",
       "rooster          49.0  282.816327  27.015176  204.0  269.00  300.0  300.00   \n",
       "saxophone        40.0  294.725000  15.843768  221.0  300.00  300.0  300.00   \n",
       "schooner         63.0  245.619048  40.788371  124.0  214.00  242.0  283.00   \n",
       "scissors         39.0  292.128205  27.084837  153.0  300.00  300.0  300.00   \n",
       "scorpion         84.0  228.607143  35.187285  153.0  201.75  225.0  247.25   \n",
       "sea_horse        57.0  280.087719  35.154395  176.0  276.00  300.0  300.00   \n",
       "snoopy           35.0  280.371429  30.624947  197.0  275.00  300.0  300.00   \n",
       "soccer_ball      64.0  274.078125  37.829737  179.0  256.00  295.5  300.00   \n",
       "stapler          45.0  244.088889  48.711499  147.0  206.00  248.0  300.00   \n",
       "starfish         86.0  260.372093  38.915307  124.0  225.00  275.0  295.75   \n",
       "stegosaurus      59.0  206.593220  31.497191  147.0  186.50  200.0  225.00   \n",
       "stop_sign        64.0  277.953125  34.517734  184.0  264.50  297.0  300.00   \n",
       "strawberry       35.0  270.714286  39.920193  172.0  235.00  300.0  300.00   \n",
       "sunflower        85.0  267.729412  39.938461  194.0  225.00  296.0  300.00   \n",
       "tick             49.0  283.306122  29.344366  203.0  278.00  300.0  300.00   \n",
       "trilobite        86.0  293.802326  18.604756  200.0  300.00  300.0  300.00   \n",
       "umbrella         75.0  259.146667  41.033834  132.0  225.00  266.0  300.00   \n",
       "watch           239.0  229.635983  47.915600  138.0  191.00  225.0  271.50   \n",
       "water_lilly      37.0  244.567568  45.812747  157.0  212.00  228.0  300.00   \n",
       "wheelchair       59.0  282.644068  27.577954  199.0  271.00  300.0  300.00   \n",
       "wild_cat         34.0  227.735294  40.827285  148.0  199.50  225.5  243.75   \n",
       "windsor_chair    56.0  298.928571   8.017837  240.0  300.00  300.0  300.00   \n",
       "wrench           39.0  210.358974  68.165235  104.0  165.00  188.0  294.00   \n",
       "yin_yang         60.0  283.383333  25.876559  197.0  279.50  296.0  300.00   \n",
       "\n",
       "                       width                                               \\\n",
       "                  max  count        mean        std    min     25%    50%   \n",
       "category                                                                    \n",
       "Faces_easy      381.0  435.0  274.340230  17.833694  247.0  266.00  272.0   \n",
       "Leopards        192.0  200.0  181.760000  23.521665  128.0  192.00  192.0   \n",
       "Motorbikes      261.0  798.0  262.827068   3.719482  231.0  261.00  261.0   \n",
       "accordion       300.0   55.0  285.672727  27.662687  209.0  292.50  300.0   \n",
       "airplanes       494.0  800.0  402.341250   9.017702  356.0  396.00  401.0   \n",
       "anchor          300.0   42.0  291.404762  20.999488  218.0  300.00  300.0   \n",
       "ant             300.0   42.0  299.333333   4.165284  273.0  300.00  300.0   \n",
       "barrel          300.0   47.0  244.872340  39.052705  168.0  212.00  242.0   \n",
       "bass            300.0   54.0  298.722222   6.319830  264.0  300.00  300.0   \n",
       "beaver          300.0   46.0  296.760870  13.011422  215.0  300.00  300.0   \n",
       "binocular       300.0   33.0  272.393939  45.879557  159.0  261.00  300.0   \n",
       "bonsai          300.0  128.0  263.546875  37.903287  159.0  231.00  270.0   \n",
       "brain           300.0   98.0  297.734694   9.625515  238.0  300.00  300.0   \n",
       "brontosaurus    300.0   43.0  291.162791  21.609004  215.0  300.00  300.0   \n",
       "buddha          300.0   85.0  243.494118  39.777842  163.0  212.00  242.0   \n",
       "butterfly       300.0   91.0  296.637363  14.231824  211.0  300.00  300.0   \n",
       "camera          300.0   50.0  295.220000  12.438075  233.0  300.00  300.0   \n",
       "cannon          300.0   43.0  299.302326   3.313284  280.0  300.00  300.0   \n",
       "car_side        197.0  123.0  300.000000   0.000000  300.0  300.00  300.0   \n",
       "ceiling_fan     283.0   47.0  300.000000   0.000000  300.0  300.00  300.0   \n",
       "cellphone       300.0   59.0  244.966102  43.973333  165.0  207.00  239.0   \n",
       "chair           300.0   62.0  230.693548  37.615653  173.0  200.25  224.5   \n",
       "chandelier      300.0  107.0  269.000000  37.339341  167.0  237.00  296.0   \n",
       "cougar_body     300.0   47.0  285.446809  27.992086  204.0  288.50  300.0   \n",
       "cougar_face     300.0   69.0  288.565217  20.205909  217.0  283.00  300.0   \n",
       "crab            300.0   73.0  298.205479   7.483238  253.0  300.00  300.0   \n",
       "crayfish        300.0   70.0  297.857143  12.585114  225.0  300.00  300.0   \n",
       "crocodile       296.0   50.0  299.980000   0.141421  299.0  300.00  300.0   \n",
       "crocodile_head  300.0   51.0  298.392157   6.690526  264.0  300.00  300.0   \n",
       "cup             300.0   57.0  287.666667  27.458627  191.0  300.00  300.0   \n",
       "...               ...    ...         ...        ...    ...     ...    ...   \n",
       "pigeon          300.0   45.0  292.800000  22.977855  196.0  300.00  300.0   \n",
       "pizza           300.0   53.0  296.905660  11.132531  241.0  300.00  300.0   \n",
       "platypus        300.0   34.0  293.529412  18.924468  225.0  300.00  300.0   \n",
       "pyramid         300.0   57.0  296.473684  14.612990  199.0  300.00  300.0   \n",
       "revolver        300.0   82.0  297.804878  14.317768  190.0  300.00  300.0   \n",
       "rhino           288.0   59.0  300.000000   0.000000  300.0  300.00  300.0   \n",
       "rooster         300.0   49.0  276.959184  29.335672  206.0  260.00  296.0   \n",
       "saxophone       300.0   40.0  223.550000  51.455707  134.0  178.00  223.5   \n",
       "schooner        300.0   63.0  292.142857  23.896860  162.0  300.00  300.0   \n",
       "scissors        300.0   39.0  207.051282  56.567588  105.0  170.50  195.0   \n",
       "scorpion        300.0   84.0  298.500000  10.088166  210.0  300.00  300.0   \n",
       "sea_horse       300.0   57.0  241.929825  45.865821  164.0  201.00  225.0   \n",
       "snoopy          300.0   35.0  268.857143  36.035230  200.0  234.00  288.0   \n",
       "soccer_ball     300.0   64.0  292.984375  17.643284  215.0  298.00  300.0   \n",
       "stapler         300.0   45.0  299.200000   4.424108  271.0  300.00  300.0   \n",
       "starfish        300.0   86.0  294.104651  16.114319  207.0  300.00  300.0   \n",
       "stegosaurus     286.0   59.0  300.000000   0.000000  300.0  300.00  300.0   \n",
       "stop_sign       300.0   64.0  276.296875  43.457580  151.0  284.50  300.0   \n",
       "strawberry      300.0   35.0  271.742857  33.331969  200.0  243.50  297.0   \n",
       "sunflower       300.0   85.0  270.329412  41.282242  159.0  230.00  300.0   \n",
       "tick            300.0   49.0  268.122449  30.497017  200.0  245.00  275.0   \n",
       "trilobite       300.0   86.0  241.639535  37.379111  164.0  214.25  229.5   \n",
       "umbrella        300.0   75.0  294.093333  18.369462  188.0  300.00  300.0   \n",
       "watch           300.0  239.0  292.209205  21.974158  183.0  300.00  300.0   \n",
       "water_lilly     300.0   37.0  282.567568  32.373292  203.0  289.00  300.0   \n",
       "wheelchair      300.0   59.0  281.711864  27.188392  204.0  271.00  300.0   \n",
       "wild_cat        300.0   34.0  290.588235  27.424958  194.0  300.00  300.0   \n",
       "windsor_chair   300.0   56.0  210.839286  36.087659  159.0  186.75  200.5   \n",
       "wrench          300.0   39.0  298.948718   4.893329  272.0  300.00  300.0   \n",
       "yin_yang        300.0   60.0  292.550000  18.646965  217.0  299.00  300.0   \n",
       "\n",
       "                               \n",
       "                   75%    max  \n",
       "category                       \n",
       "Faces_easy      281.50  433.0  \n",
       "Leopards        192.00  192.0  \n",
       "Motorbikes      263.00  282.0  \n",
       "accordion       300.00  300.0  \n",
       "airplanes       406.00  457.0  \n",
       "anchor          300.00  300.0  \n",
       "ant             300.00  300.0  \n",
       "barrel          280.00  300.0  \n",
       "bass            300.00  300.0  \n",
       "beaver          300.00  300.0  \n",
       "binocular       300.00  300.0  \n",
       "bonsai          300.00  300.0  \n",
       "brain           300.00  300.0  \n",
       "brontosaurus    300.00  300.0  \n",
       "buddha          278.00  300.0  \n",
       "butterfly       300.00  300.0  \n",
       "camera          300.00  300.0  \n",
       "cannon          300.00  300.0  \n",
       "car_side        300.00  300.0  \n",
       "ceiling_fan     300.00  300.0  \n",
       "cellphone       297.50  300.0  \n",
       "chair           251.50  300.0  \n",
       "chandelier      300.00  300.0  \n",
       "cougar_body     300.00  300.0  \n",
       "cougar_face     300.00  300.0  \n",
       "crab            300.00  300.0  \n",
       "crayfish        300.00  300.0  \n",
       "crocodile       300.00  300.0  \n",
       "crocodile_head  300.00  300.0  \n",
       "cup             300.00  300.0  \n",
       "...                ...    ...  \n",
       "pigeon          300.00  300.0  \n",
       "pizza           300.00  300.0  \n",
       "platypus        300.00  300.0  \n",
       "pyramid         300.00  300.0  \n",
       "revolver        300.00  300.0  \n",
       "rhino           300.00  300.0  \n",
       "rooster         300.00  300.0  \n",
       "saxophone       269.25  300.0  \n",
       "schooner        300.00  300.0  \n",
       "scissors        245.00  300.0  \n",
       "scorpion        300.00  300.0  \n",
       "sea_horse       300.00  300.0  \n",
       "snoopy          300.00  300.0  \n",
       "soccer_ball     300.00  300.0  \n",
       "stapler         300.00  300.0  \n",
       "starfish        300.00  300.0  \n",
       "stegosaurus     300.00  300.0  \n",
       "stop_sign       300.00  300.0  \n",
       "strawberry      300.00  300.0  \n",
       "sunflower       300.00  300.0  \n",
       "tick            300.00  300.0  \n",
       "trilobite       270.75  300.0  \n",
       "umbrella        300.00  300.0  \n",
       "watch           300.00  300.0  \n",
       "water_lilly     300.00  300.0  \n",
       "wheelchair      300.00  300.0  \n",
       "wild_cat        300.00  300.0  \n",
       "windsor_chair   230.00  300.0  \n",
       "wrench          300.00  300.0  \n",
       "yin_yang        300.00  300.0  \n",
       "\n",
       "[100 rows x 16 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_df.groupby('category').describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def imshow(image):\n",
    "    plt.figure(figsize = (6, 6))\n",
    "    plt.imshow(image)\n",
    "    plt.axis('off');\n",
    "    plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(300, 187, 3)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = Image.open(datadir + 'ewer/image_0002.jpg')\n",
    "np.array(x).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imshow(x);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "image_transforms = {\n",
    "        'train': transforms.Compose([\n",
    "                 transforms.RandomResizedCrop(size=256, scale=(0.8, 1.0)),\n",
    "                 transforms.RandomHorizontalFlip(),\n",
    "                 transforms.CenterCrop(size=224),\n",
    "                 transforms.ToTensor(),\n",
    "                 transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "        ]),\n",
    "        'val': transforms.Compose([\n",
    "                transforms.Resize(size=256),\n",
    "                transforms.CenterCrop(size=224),\n",
    "                transforms.ToTensor(),\n",
    "                transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "        ]),\n",
    "     'test': transforms.Compose([\n",
    "                transforms.Resize(size=256),\n",
    "                transforms.CenterCrop(size=224),\n",
    "                transforms.ToTensor(),\n",
    "                transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "        ]),\n",
    "    }\n",
    "\n",
    "batch_size = 16\n",
    "\n",
    "# Datasets\n",
    "data = {'train': datasets.ImageFolder(root=traindir,\n",
    "                                      transform=image_transforms['train']),\n",
    "        'val': datasets.ImageFolder(root=validdir,\n",
    "                                     transform=image_transforms['val']),\n",
    "        'test': datasets.ImageFolder(root=testdir,\n",
    "                                     transform=image_transforms['test'])\n",
    "       }\n",
    "\n",
    "dataloaders = {'train': DataLoader(data['train'], batch_size=batch_size),\n",
    "              'val': DataLoader(data['val'], batch_size=batch_size),\n",
    "               'test': DataLoader(data['test'], batch_size=batch_size)\n",
    "              }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "for c in cat_df['category']:\n",
    "#     os.mkdir(datadir + '/test/' + c)\n",
    "#     os.mkdir(datadir + '/train/' + c)\n",
    "    os.mkdir(datadir + '/valid/' + c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "for i, row in cat_df.iterrows():\n",
    "    train_num = int(0.75 * row['n'])\n",
    "    images = os.listdir(datadir + row['category'])\n",
    "    train_imgs = list(np.random.choice(images, \n",
    "                     size = train_num, replace = False))\n",
    "    test_imgs = [i for i in images if i not in train_imgs]\n",
    "    assert (len(images) == (len(train_imgs) + len(test_imgs))), 'Images must be in either training or testing set'\n",
    "    for i in train_imgs:\n",
    "        os.system(f'cp {datadir + row[\"category\"] + \"/\" + i} {datadir + \"train/\" + row[\"category\"] + \"/\" + i}')\n",
    "    for i in test_imgs:\n",
    "        os.system(f'cp {datadir + row[\"category\"] + \"/\" + i} {datadir + \"test/\" + row[\"category\"] + \"/\" + i}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
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     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
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     "execution_count": 65,
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     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
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     "execution_count": 65,
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     "execution_count": 65,
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     "execution_count": 65,
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     "execution_count": 65,
     "metadata": {},
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    {
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       "0"
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     },
     "execution_count": 65,
     "metadata": {},
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    },
    {
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     },
     "execution_count": 65,
     "metadata": {},
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    },
    {
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      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i, row in cat_df.iterrows():\n",
    "    images = os.listdir(datadir + 'train/' + row['category'])\n",
    "    train_num = int((2 / 3) * len(images))\n",
    "    train_imgs = list(np.random.choice(images, \n",
    "                     size = train_num, replace = False))\n",
    "    valid_imgs = [i for i in images if i not in train_imgs]\n",
    "    assert (len(images) == (len(train_imgs) + len(valid_imgs))), 'Images must be in either training or validation set'\n",
    "    \n",
    "    for i in valid_imgs:\n",
    "        os.system(f'mv {datadir + \"train/\" + row[\"category\"] + \"/\" + i} {datadir + \"valid/\" + row[\"category\"] + \"/\" + i}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>category</th>\n",
       "      <th>n</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Faces_easy</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Leopards</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Motorbikes</td>\n",
       "      <td>798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>accordion</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>airplanes</td>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>anchor</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>ant</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>barrel</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>bass</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>beaver</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>binocular</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>bonsai</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>brain</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>brontosaurus</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>buddha</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>butterfly</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>camera</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>cannon</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>car_side</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ceiling_fan</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>cellphone</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>chair</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chandelier</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>cougar_body</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>cougar_face</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>crab</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>crayfish</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>crocodile</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>crocodile_head</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>cup</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>pigeon</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>pizza</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>platypus</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>pyramid</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>revolver</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>rhino</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>rooster</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>saxophone</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>schooner</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>scissors</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>scorpion</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>sea_horse</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>snoopy</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>soccer_ball</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>stapler</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>starfish</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>stegosaurus</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>stop_sign</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>strawberry</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>sunflower</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>tick</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>trilobite</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>umbrella</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>watch</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>water_lilly</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>wheelchair</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>wild_cat</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>windsor_chair</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>wrench</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>yin_yang</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          category    n\n",
       "39      Faces_easy  435\n",
       "11        Leopards  200\n",
       "26      Motorbikes  798\n",
       "54       accordion   55\n",
       "80       airplanes  800\n",
       "74          anchor   42\n",
       "87             ant   42\n",
       "20          barrel   47\n",
       "32            bass   54\n",
       "3           beaver   46\n",
       "8        binocular   33\n",
       "85          bonsai  128\n",
       "36           brain   98\n",
       "31    brontosaurus   43\n",
       "7           buddha   85\n",
       "75       butterfly   91\n",
       "45          camera   50\n",
       "22          cannon   43\n",
       "69        car_side  123\n",
       "28     ceiling_fan   47\n",
       "99       cellphone   59\n",
       "49           chair   62\n",
       "0       chandelier  107\n",
       "95     cougar_body   47\n",
       "93     cougar_face   69\n",
       "1             crab   73\n",
       "61        crayfish   70\n",
       "71       crocodile   50\n",
       "50  crocodile_head   51\n",
       "15             cup   57\n",
       "..             ...  ...\n",
       "24          pigeon   45\n",
       "63           pizza   53\n",
       "79        platypus   34\n",
       "12         pyramid   57\n",
       "34        revolver   82\n",
       "29           rhino   59\n",
       "98         rooster   49\n",
       "70       saxophone   40\n",
       "13        schooner   63\n",
       "43        scissors   39\n",
       "86        scorpion   84\n",
       "25       sea_horse   57\n",
       "83          snoopy   35\n",
       "56     soccer_ball   64\n",
       "67         stapler   45\n",
       "68        starfish   86\n",
       "46     stegosaurus   59\n",
       "94       stop_sign   64\n",
       "97      strawberry   35\n",
       "2        sunflower   85\n",
       "62            tick   49\n",
       "14       trilobite   86\n",
       "78        umbrella   75\n",
       "72           watch  239\n",
       "81     water_lilly   37\n",
       "88      wheelchair   59\n",
       "52        wild_cat   34\n",
       "42   windsor_chair   56\n",
       "77          wrench   39\n",
       "48        yin_yang   60\n",
       "\n",
       "[100 rows x 2 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['image_0131.jpg',\n",
       " 'image_0154.jpg',\n",
       " 'image_0384.jpg',\n",
       " 'image_0220.jpg',\n",
       " 'image_0214.jpg',\n",
       " 'image_0034.jpg',\n",
       " 'image_0435.jpg',\n",
       " 'image_0229.jpg',\n",
       " 'image_0165.jpg',\n",
       " 'image_0044.jpg',\n",
       " 'image_0350.jpg',\n",
       " 'image_0265.jpg',\n",
       " 'image_0426.jpg',\n",
       " 'image_0290.jpg',\n",
       " 'image_0340.jpg',\n",
       " 'image_0093.jpg',\n",
       " 'image_0070.jpg',\n",
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