Lesson3-notes 3 (Getting data, Kaggle).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting data/Kaggle\n",
    "In order to enter a Kaggle competition, or even just work with the images, we must first get the data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting data\n",
    "\n",
    "There are a couple of ways to get data.\n",
    "\n",
    "### Option 1: Kaggle-cli\n",
    "To download the official [Kaggle](www.kaggle.com) datasets, the easiest way is to use the [Kaggle cli](https://github.com/floydwch/kaggle-cli).\n",
    "\n",
    "This is a screenscraper, so often needs to be updated to catch website updates.\n",
    "\n",
    "__To install/upgrade:__\n",
    "`pip install kaggle-cli --upgrade`\n",
    "\n",
    "__To get data:__\n",
    "`kg download -u [username] -p [password] -c [competition-name]`\n",
    "\n",
    "The competition name is the part after the main URL.\n",
    "\n",
    "E.g., in https://www.kaggle.com/c/planet-understanding-the-amazon-from-space, the competition name is _planet-understanding-the-amazon-from-space_.\n",
    "\n",
    "__Note: You must go to the competition in Kaggle and click download first, in order to accept the competition terms and conditions.__\n",
    "\n",
    "### Option 2: Chrome wget extension\n",
    "Another option is to use [CurlWget](https://chrome.google.com/webstore/detail/curlwget/jmocjfidanebdlinpbcdkcmgdifblncg?hl=en), a Chrome extension.\n",
    "\n",
    "With this, simply click the download link to get what you want, and it will generate a `wget` command that you can paste into your Ubuntu console to download the data.\n",
    "\n",
    "This approach has the advantage that you can download just specific things. For example, instead of downloading all of the contest data, you can just download the folder containing JPG images.\n",
    "\n",
    "### Note on symbolic links\n",
    "In Ubuntu, you can create symbolic links (like shortcuts). For example, you can make the \"data folder\" in your Jupyter notebook directory point to a top level directory called data.\n",
    "\n",
    "To view symbolic links, use the `ls -l [directory]` command. E.g., `ls -l courses/dl1`. Symbolic links can be identified by `->`.\n",
    "\n",
    "<img src=\"https://raw.githubusercontent.com/pekoto/fast.ai/master/images/sym-links.jpg\" width=500, height=400>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dog Breeds\n",
    "We will enter the [dog breed identification contest](https://www.kaggle.com/c/dog-breed-identification/).\n",
    "\n",
    "First get the data using the steps above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Do our usual import and setup\n",
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up our imports\n",
    "from fastai.imports import *\n",
    "from fastai.torch_imports import *\n",
    "from fastai.transforms import *\n",
    "from fastai.conv_learner import *\n",
    "from fastai.model import *\n",
    "from fastai.dataset import *\n",
    "from fastai.sgdr import *\n",
    "from fastai.plots import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up our paths, size, architecture, batch size, etc.\n",
    "PATH=\"data/dogbreed/\"\n",
    "size=224\n",
    "architecture=resnext101_64\n",
    "batch_size=58"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After doing some initial set up, we do some data exploration to see what the downloaded data looks like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_csv = f'{PATH}labels.csv'\n",
    "\n",
    "# num of rows -1 (to account for the header)\n",
    "n = len(list(open(label_csv)))-1\n",
    "\n",
    "# random 20% of rows to use as the validation set\n",
    "# get cross validation indexes\n",
    "val_idxs = get_cv_idxs(n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2882, 4514, 7717, ..., 8922, 6774,   37])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_idxs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels.csv  sample_submission.csv  test  tmp  train\r\n"
     ]
    }
   ],
   "source": [
    "# Take a look and see the files we have\n",
    "!ls {PATH}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>id</th>\n",
       "      <th>breed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000bec180eb18c7604dcecc8fe0dba07</td>\n",
       "      <td>boston_bull</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>001513dfcb2ffafc82cccf4d8bbaba97</td>\n",
       "      <td>dingo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>001cdf01b096e06d78e9e5112d419397</td>\n",
       "      <td>pekinese</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00214f311d5d2247d5dfe4fe24b2303d</td>\n",
       "      <td>bluetick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0021f9ceb3235effd7fcde7f7538ed62</td>\n",
       "      <td>golden_retriever</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 id             breed\n",
       "0  000bec180eb18c7604dcecc8fe0dba07       boston_bull\n",
       "1  001513dfcb2ffafc82cccf4d8bbaba97             dingo\n",
       "2  001cdf01b096e06d78e9e5112d419397          pekinese\n",
       "3  00214f311d5d2247d5dfe4fe24b2303d          bluetick\n",
       "4  0021f9ceb3235effd7fcde7f7538ed62  golden_retriever"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Take a look inside labels using a pandas dataframe\n",
    "label_df = pd.read_csv(label_csv)\n",
    "label_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id       10222\n",
       "breed    10222\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>breed</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>scottish_deerhound</th>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maltese_dog</th>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>afghan_hound</th>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entlebucher</th>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bernese_mountain_dog</th>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shih-tzu</th>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>great_pyrenees</th>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pomeranian</th>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>basenji</th>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>samoyed</th>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>airedale</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tibetan_terrier</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>leonberg</th>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cairn</th>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beagle</th>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>japanese_spaniel</th>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>australian_terrier</th>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>blenheim_spaniel</th>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miniature_pinscher</th>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>irish_wolfhound</th>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lakeland_terrier</th>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saluki</th>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>papillon</th>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>whippet</th>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>siberian_husky</th>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>norwegian_elkhound</th>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pug</th>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chow</th>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>italian_greyhound</th>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pembroke</th>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>german_short-haired_pointer</th>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>boxer</th>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bull_mastiff</th>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>borzoi</th>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pekinese</th>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cocker_spaniel</th>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>american_staffordshire_terrier</th>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doberman</th>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brittany_spaniel</th>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>malinois</th>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>standard_schnauzer</th>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flat-coated_retriever</th>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>redbone</th>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>border_collie</th>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>curly-coated_retriever</th>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kuvasz</th>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chihuahua</th>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soft-coated_wheaten_terrier</th>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>french_bulldog</th>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vizsla</th>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tibetan_mastiff</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>german_shepherd</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>giant_schnauzer</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>walker_hound</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>otterhound</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>golden_retriever</th>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brabancon_griffon</th>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>komondor</th>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>briard</th>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eskimo_dog</th>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 id\n",
       "breed                              \n",
       "scottish_deerhound              126\n",
       "maltese_dog                     117\n",
       "afghan_hound                    116\n",
       "entlebucher                     115\n",
       "bernese_mountain_dog            114\n",
       "shih-tzu                        112\n",
       "great_pyrenees                  111\n",
       "pomeranian                      111\n",
       "basenji                         110\n",
       "samoyed                         109\n",
       "airedale                        107\n",
       "tibetan_terrier                 107\n",
       "leonberg                        106\n",
       "cairn                           106\n",
       "beagle                          105\n",
       "japanese_spaniel                105\n",
       "australian_terrier              102\n",
       "blenheim_spaniel                102\n",
       "miniature_pinscher              102\n",
       "irish_wolfhound                 101\n",
       "lakeland_terrier                 99\n",
       "saluki                           99\n",
       "papillon                         96\n",
       "whippet                          95\n",
       "siberian_husky                   95\n",
       "norwegian_elkhound               95\n",
       "pug                              94\n",
       "chow                             93\n",
       "italian_greyhound                92\n",
       "pembroke                         92\n",
       "...                             ...\n",
       "german_short-haired_pointer      75\n",
       "boxer                            75\n",
       "bull_mastiff                     75\n",
       "borzoi                           75\n",
       "pekinese                         75\n",
       "cocker_spaniel                   74\n",
       "american_staffordshire_terrier   74\n",
       "doberman                         74\n",
       "brittany_spaniel                 73\n",
       "malinois                         73\n",
       "standard_schnauzer               72\n",
       "flat-coated_retriever            72\n",
       "redbone                          72\n",
       "border_collie                    72\n",
       "curly-coated_retriever           72\n",
       "kuvasz                           71\n",
       "chihuahua                        71\n",
       "soft-coated_wheaten_terrier      71\n",
       "french_bulldog                   70\n",
       "vizsla                           70\n",
       "tibetan_mastiff                  69\n",
       "german_shepherd                  69\n",
       "giant_schnauzer                  69\n",
       "walker_hound                     69\n",
       "otterhound                       69\n",
       "golden_retriever                 67\n",
       "brabancon_griffon                67\n",
       "komondor                         67\n",
       "briard                           66\n",
       "eskimo_dog                       66\n",
       "\n",
       "[120 rows x 1 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We then get the number of breeds\n",
    "label_df.pivot_table(index='breed', aggfunc=len).sort_values('id', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We're going to use data augmentation, so let's set up our transforms\n",
    "transforms = tfms_from_model(architecture, size, aug_tfms=transforms_side_on, max_zoom=1.1)\n",
    "\n",
    "# This time we're reading from a CSV instead of from a path\n",
    "# We also use the validation indexes we generated\n",
    "# Because the file names in the id column of the csv don't have jpg on the end,\n",
    "# we pass in .jpeg as a suffix as well.\n",
    "data = ImageClassifierData.from_csv(PATH, 'train', f'{PATH}labels.csv', test_name='test',\n",
    "                                   val_idxs=val_idxs, suffix='.jpg', tfms=transforms, bs=batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'data/dogbreed/train/001513dfcb2ffafc82cccf4d8bbaba97.jpg'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's check out a file\n",
    "file_name = PATH+data.trn_ds.fnames[0]\n",
    "file_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=500x375 at 0x7FD0A14CB7F0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img = PIL.Image.open(file_name)\n",
    "img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500, 375)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "size_d = {k: PIL.Image.open(PATH+k).size for k in data.trn_ds.fnames}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'train/001513dfcb2ffafc82cccf4d8bbaba97.jpg': (500, 375),\n",
       " 'train/001cdf01b096e06d78e9e5112d419397.jpg': (500, 375),\n",
       " 'train/0021f9ceb3235effd7fcde7f7538ed62.jpg': (500, 500),\n",
       " 'train/002211c81b498ef88e1b40b9abf84e1d.jpg': (500, 375),\n",
       " 'train/00290d3e1fdd27226ba27a8ce248ce85.jpg': (500, 470),\n",
       " 'train/002a283a315af96eaea0e28e7163b21b.jpg': (231, 227),\n",
       " 'train/0042188c895a2f14ef64a918ed9c7b64.jpg': (500, 332),\n",
       " 'train/0067dc3eab0b3c3ef0439477624d85d6.jpg': (402, 343),\n",
       " 'train/006cc3ddb9dc1bd827479569fcdc52dc.jpg': (250, 223),\n",
       " 'train/00792e341f3c6eb33663e415d0715370.jpg': (200, 192),\n",
       " 'train/007b5a16db9d9ff9d7ad39982703e429.jpg': (374, 212),\n",
       " 'train/007b8a07882822475a4ce6581e70b1f8.jpg': (333, 500),\n",
       " 'train/007ff9a78eba2aebb558afea3a51c469.jpg': (500, 375),\n",
       " 'train/008ba178d6dfc1a583617470d19c1673.jpg': (390, 320),\n",
       " 'train/009509be3ca7cce0ff9e37c8b09b1125.jpg': (400, 346),\n",
       " 'train/00a338a92e4e7bf543340dc849230e75.jpg': (200, 280),\n",
       " 'train/00a366d4b4a9bbb6c8a63126697b7656.jpg': (500, 375),\n",
       " 'train/00a862390341c5be090dd72bd2bc19ef.jpg': (375, 500),\n",
       " 'train/00b7d114bc5166a629a3cc03d9329120.jpg': (500, 333),\n",
       " 'train/00ba244566e36e0af3d979320fd3017f.jpg': (300, 257),\n",
       " 'train/00ca18751837cd6a22813f8e221f7819.jpg': (450, 338),\n",
       " 'train/00ddcec076073cc96f82c27bf4548fbc.jpg': (500, 375),\n",
       " 'train/00f34ac0a16ef43e6fd1de49a26081ce.jpg': (594, 407),\n",
       " 'train/010d65bd29d246aea53d9849da142ccf.jpg': (375, 500),\n",
       " 'train/011761e3ae8ec5e188e8f0bcb59bb8b6.jpg': (400, 293),\n",
       " 'train/011bd7fd7c036dbb243d0e37329c77b7.jpg': (500, 375),\n",
       " 'train/011e06760794850c40f23d6426c40774.jpg': (350, 257),\n",
       " 'train/0120343862761d052d6a7ade81625c94.jpg': (401, 500),\n",
       " 'train/01268f0007876a692907bda89468184c.jpg': (500, 333),\n",
       " 'train/012ff2d21dad14452ea16b4cda7eef4c.jpg': (500, 375),\n",
       " 'train/013aed490e0e15a8989e12ae0d0ccfaa.jpg': (500, 500),\n",
       " 'train/013f8fdf6d638c7bb042f5f17e8a9fdc.jpg': (500, 375),\n",
       " 'train/0140b05bfc2fd43f2819fab3d8566109.jpg': (500, 333),\n",
       " 'train/0159b6457aac89f43d1c1931cdf7500b.jpg': (500, 375),\n",
       " 'train/015b363b062f602e7ec04ce28e640d05.jpg': (288, 288),\n",
       " 'train/015b4aa50dd9b4a0d26dc0c38f41b489.jpg': (500, 375),\n",
       " 'train/015d86b2fcb36f0fdfbe94a66c0e3400.jpg': (350, 332),\n",
       " 'train/0161847d5bfae154af084993fa26a1a7.jpg': (500, 375),\n",
       " 'train/0162107acd8f2588c0944b791d61bb0c.jpg': (300, 208),\n",
       " 'train/0162b3e0144fb1d1ab82fbff3ace9938.jpg': (360, 315),\n",
       " 'train/016bcdb05e2d0e0878877df21b8c3cff.jpg': (337, 500),\n",
       " 'train/0177a92a906192bfde8adbb8a237e524.jpg': (200, 280),\n",
       " 'train/018aae5768833c34e3df30d63429251e.jpg': (500, 500),\n",
       " 'train/019c92d1ff56deb9d75d809a92bc84d8.jpg': (500, 358),\n",
       " 'train/019ff93e03802e661577b5869e099dcb.jpg': (405, 500),\n",
       " 'train/01a3b064c56edbe3abf55051b16134d4.jpg': (500, 375),\n",
       " 'train/01a41985ab8209e750588fa348d635be.jpg': (500, 333),\n",
       " 'train/01b09bdac592b0eb9909dd105314ad3a.jpg': (500, 329),\n",
       " 'train/01b35a06b00e4a832b935cf8d51303c1.jpg': (500, 375),\n",
       " 'train/01b36cb1b80ab8c3a7d2b7128ad21bdc.jpg': (500, 375),\n",
       " 'train/01b6c2bd3053535a58d8de763cf06aa0.jpg': (500, 333),\n",
       " 'train/01b849a7e4fbc545f6b2806cb87ab371.jpg': (500, 375),\n",
       " 'train/01c230ec18eed427cf5b1db1a833024d.jpg': (500, 333),\n",
       " 'train/01d0f3692e576b3cde511285352aed4a.jpg': (500, 375),\n",
       " 'train/01de1f7b7b4465a6d130a56746af66a6.jpg': (334, 500),\n",
       " 'train/01e2245b46eb747260ff80f1c892daef.jpg': (500, 375),\n",
       " 'train/01e4d3d1cb704ed819bce35d22e716a7.jpg': (500, 500),\n",
       " 'train/01e787576c003930f96c966f9c3e1d44.jpg': (450, 443),\n",
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       " 'train/1e3326ef4b8c3f9410f55b4bc486b0c6.jpg': (250, 344),\n",
       " 'train/1e3f997fe2ab336614540a721a0052e8.jpg': (454, 500),\n",
       " 'train/1e44a9c130807d1413e7d9ef052fb338.jpg': (500, 375),\n",
       " 'train/1e4c6a2caedfec81de49eea2ee570fcf.jpg': (332, 500),\n",
       " 'train/1e50e6fdf8cb68b58b9c4a5553efb9bf.jpg': (333, 500),\n",
       " 'train/1e597523107666ef5152d4006a9fd7c2.jpg': (500, 333),\n",
       " 'train/1e5ce138280eabd214664398f19491b3.jpg': (346, 218),\n",
       " 'train/1e69f2ee565c49854da8d9fb6ac6264b.jpg': (500, 434),\n",
       " 'train/1e6f959d5a68ca5564ece4301b9a59c1.jpg': (500, 375),\n",
       " 'train/1e7146baafda5edbd4e9abdf08f728fa.jpg': (500, 399),\n",
       " 'train/1e7385f68662ed9730901fa81455f43c.jpg': (200, 234),\n",
       " 'train/1e7a5a361d584ce7bf21bf608483515a.jpg': (375, 500),\n",
       " 'train/1e95ba957cc6f8cf9094c952250cf24e.jpg': (500, 333),\n",
       " 'train/1e998f09db4f87eebc1fd5cbafd4aca7.jpg': (500, 375),\n",
       " 'train/1e99c23d5ce88bc408cb8c1111d86796.jpg': (333, 500),\n",
       " 'train/1ea791cf25489ef0469b4d61ff7eeb38.jpg': (500, 375),\n",
       " 'train/1ea7adfd17a58475b764cc95431e2315.jpg': (380, 310),\n",
       " 'train/1eaaf8702c8045c22dad605062d17986.jpg': (500, 375),\n",
       " 'train/1eb1c5f3d6b335b16c27738abd943008.jpg': (320, 350),\n",
       " 'train/1eb28a82080de0447017caf4d03d3934.jpg': (281, 500),\n",
       " 'train/1ebf07f4fc0f44b6befec9aa3cd8adbb.jpg': (375, 500),\n",
       " 'train/1ec76628ff231ec226da907f1ff0df67.jpg': (500, 331),\n",
       " 'train/1ede5aa5f18e1ed971b129195976b170.jpg': (225, 225),\n",
       " 'train/1ee0c041d15647e3909625eba419f153.jpg': (266, 214),\n",
       " 'train/1ef5e8db93701b28e1203ecd7e1baf37.jpg': (500, 333),\n",
       " 'train/1f0009002cd89d41b30791766bbf9102.jpg': (500, 375),\n",
       " 'train/1f23cfc7a7a6e62870a3bc75e33a82dc.jpg': (400, 300),\n",
       " 'train/1f24500ff34c1d73728852b92a2d3ec4.jpg': (500, 375),\n",
       " 'train/1f249e94a204f4daf5946350cf116448.jpg': (500, 333),\n",
       " 'train/1f28d7c98a4da02fb1b98ac45f2fe103.jpg': (197, 177),\n",
       " 'train/1f3e7116441cb09772ddf3ed3cb45dad.jpg': (500, 337),\n",
       " 'train/1f443edbd2a9e5a77be5d14262b8bd66.jpg': (500, 332),\n",
       " 'train/1f5547307d94808863edbbeeab45ebee.jpg': (600, 496),\n",
       " 'train/1f6ae325f91713701c9ae3d8ea6714fd.jpg': (425, 500),\n",
       " 'train/1f705dd3c8f4c66cb14b706990b80bc5.jpg': (500, 382),\n",
       " 'train/1f71ad688af967118708c855ca975594.jpg': (375, 500),\n",
       " 'train/1f747c2fa6f1984c04bbeebf3b97556a.jpg': (500, 327),\n",
       " 'train/1f7cf21f817c33782188d57fb12a4628.jpg': (500, 388),\n",
       " 'train/1f80a26289896fac1169e49e02dcff1b.jpg': (480, 360),\n",
       " 'train/1f825609b43784e073b718ec559ed397.jpg': (300, 245),\n",
       " 'train/1f913ada2a4fdb5b237112014087d5dc.jpg': (500, 500),\n",
       " 'train/1fa23d3d5aeaefcabb88d84db1264b64.jpg': (395, 500),\n",
       " 'train/1fa34ed77b77aaedb62094d6fa82bda8.jpg': (500, 375),\n",
       " 'train/1fa58b790c9e191f23dfbad962236f25.jpg': (279, 500),\n",
       " 'train/1fa82619012d8693282ace6d05e81ccd.jpg': (397, 450),\n",
       " 'train/1fbe78c5135f73d021aaa756ca69fe95.jpg': (500, 375),\n",
       " ...}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Take a look at all the file sizes\n",
    "size_d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the row size and column size from the list above\n",
    "row_size, column_size = list(zip(*size_d.values()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "row_size=np.array(row_size)\n",
    "column_size=np.array(column_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([500, 500, 500, 500, 500])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "row_size[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([375, 375, 500, 375, 470])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "column_size[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([3023., 5024.,   92.,   15.,    5.,    3.,   13.,    2.,    0.,    1.]),\n",
       " array([  97. ,  413.7,  730.4, 1047.1, 1363.8, 1680.5, 1997.2, 2313.9, 2630.6, 2947.3, 3264. ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD8CAYAAAB+UHOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4xLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvAOZPmwAAESlJREFUeJzt3H3MnXV9x/H3R540amyRG0JaXGH2DzGZSBogYTEbmFJwWVkCSc0yGkbSZMNEky1bmcnwiQSWTByJ4pg0K8aJDDUQZcOGh5j9wUORZxn2Fpl0JbSugBojG/jdH+d346Hej+Xufe7D7/1KTs51fa/fOed7neu0n/t6OCdVhSSpP28adQOSpNEwACSpUwaAJHXKAJCkThkAktQpA0CSOmUASFKnDABJ6pQBIEmdOnzUDczmmGOOqTVr1oy6DUkaKw888MBPqmpirnHLOgDWrFnDzp07R92GJI2VJP81n3EeApKkThkAktQpA0CSOmUASFKnDABJ6pQBIEmdmlcAJHk6yaNJHkqys9WOTrIjya52v7LVk+SaJJNJHkly6tDzbG7jdyXZfGhWSZI0HwvZA/j9qjqlqta1+a3AHVW1FrijzQOcC6xtty3AtTAIDOBy4HTgNODyqdCQJC2913MIaCOwvU1vB84fqt9QA/cAK5IcD5wD7Kiq/VX1PLAD2PA6Xl+S9DrM95vABXwnSQH/WFXXAcdV1bMAVfVskmPb2FXAM0OP3d1qM9XfcNZs/fZIXvfpKz80kteVNJ7mGwBnVtWe9p/8jiT/OcvYTFOrWeqvfXCyhcGhI971rnfNsz1J0kLN6xBQVe1p93uBbzI4hv9cO7RDu9/bhu8GThh6+Gpgzyz1A1/ruqpaV1XrJibm/C0jSdJBmjMAkrw1ydunpoH1wGPArcDUlTybgVva9K3ARe1qoDOAF9uhotuB9UlWtpO/61tNkjQC8zkEdBzwzSRT4/+lqv49yf3ATUkuAX4MXNjG3wacB0wCvwAuBqiq/Uk+Ddzfxn2qqvYv2ppIkhZkzgCoqqeA901T/x/g7GnqBVw6w3NtA7YtvE1J0mLzm8CS1CkDQJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkThkAktQpA0CSOmUASFKnDABJ6pQBIEmdMgAkqVMGgCR1ygCQpE4ZAJLUKQNAkjplAEhSpwwASeqUASBJnTIAJKlTBoAkdcoAkKROGQCS1CkDQJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkTs07AJIcluTBJN9q8ycmuTfJriRfS3Jkqx/V5ifb8jVDz3FZqz+Z5JzFXhlJ0vwtZA/go8ATQ/NXAVdX1VrgeeCSVr8EeL6q3g1c3caR5GRgE/BeYAPwhSSHvb72JUkHa14BkGQ18CHgS20+wFnAzW3IduD8Nr2xzdOWn93GbwRurKqXqupHwCRw2mKshCRp4ea7B/A54K+AX7X5dwIvVNXLbX43sKpNrwKeAWjLX2zjX61P8xhJ0hKbMwCS/AGwt6oeGC5PM7TmWDbbY4Zfb0uSnUl27tu3b672JEkHaT57AGcCf5jkaeBGBod+PgesSHJ4G7Ma2NOmdwMnALTl7wD2D9enecyrquq6qlpXVesmJiYWvEKSpPmZMwCq6rKqWl1VaxicxL2zqv4YuAu4oA3bDNzSpm9t87Tld1ZVtfqmdpXQicBa4L5FWxNJ0oIcPveQGf01cGOSzwAPAte3+vXAl5NMMvjLfxNAVT2e5Cbg+8DLwKVV9crreH1J0uuwoACoqruBu9v0U0xzFU9V/RK4cIbHXwFcsdAmJUmLz28CS1KnDABJ6pQBIEmdMgAkqVMGgCR1ygCQpE4ZAJLUKQNAkjplAEhSpwwASeqUASBJnTIAJKlTBoAkdcoAkKROGQCS1CkDQJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkThkAktQpA0CSOmUASFKnDABJ6pQBIEmdMgAkqVMGgCR1ygCQpE4ZAJLUKQNAkjo1ZwAkeXOS+5I8nOTxJJ9s9ROT3JtkV5KvJTmy1Y9q85Nt+Zqh57qs1Z9Mcs6hWilJ0tzmswfwEnBWVb0POAXYkOQM4Crg6qpaCzwPXNLGXwI8X1XvBq5u40hyMrAJeC+wAfhCksMWc2UkSfM3ZwDUwM/b7BHtVsBZwM2tvh04v01vbPO05WcnSavfWFUvVdWPgEngtEVZC0nSgh0+n0HtL/UHgHcDnwd+CLxQVS+3IbuBVW16FfAMQFW9nORF4J2tfs/Q0w4/5pBYs/Xbh/LpJWmszeskcFW9UlWnAKsZ/NX+numGtfvMsGym+msk2ZJkZ5Kd+/btm097kqSDsKCrgKrqBeBu4AxgRZKpPYjVwJ42vRs4AaAtfwewf7g+zWOGX+O6qlpXVesmJiYW0p4kaQHmcxXQRJIVbfotwAeBJ4C7gAvasM3ALW361jZPW35nVVWrb2pXCZ0IrAXuW6wVkSQtzHzOARwPbG/nAd4E3FRV30ryfeDGJJ8BHgSub+OvB76cZJLBX/6bAKrq8SQ3Ad8HXgYurapXFnd1JEnzNWcAVNUjwPunqT/FNFfxVNUvgQtneK4rgCsW3qYkabH5TWBJ6pQBIEmdMgAkqVMGgCR1ygCQpE4ZAJLUKQNAkjplAEhSpwwASeqUASBJnTIAJKlTBoAkdcoAkKROGQCS1CkDQJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkThkAktQpA0CSOmUASFKnDABJ6pQBIEmdMgAkqVMGgCR1ygCQpE4ZAJLUKQNAkjplAEhSpwwASerUnAGQ5IQkdyV5IsnjST7a6kcn2ZFkV7tf2epJck2SySSPJDl16Lk2t/G7kmw+dKslSZrLfPYAXgb+oqreA5wBXJrkZGArcEdVrQXuaPMA5wJr220LcC0MAgO4HDgdOA24fCo0JElLb84AqKpnq+p7bfpnwBPAKmAjsL0N2w6c36Y3AjfUwD3AiiTHA+cAO6pqf1U9D+wANizq2kiS5m1B5wCSrAHeD9wLHFdVz8IgJIBj27BVwDNDD9vdajPVD3yNLUl2Jtm5b9++hbQnSVqAeQdAkrcBXwc+VlU/nW3oNLWapf7aQtV1VbWuqtZNTEzMtz1J0gLNKwCSHMHgP/+vVNU3Wvm5dmiHdr+31XcDJww9fDWwZ5a6JGkE5nMVUIDrgSeq6rNDi24Fpq7k2QzcMlS/qF0NdAbwYjtEdDuwPsnKdvJ3fatJkkbg8HmMORP4E+DRJA+12t8AVwI3JbkE+DFwYVt2G3AeMAn8ArgYoKr2J/k0cH8b96mq2r8oayFJWrA5A6Cq/oPpj98DnD3N+AIuneG5tgHbFtKgJOnQ8JvAktQpA0CSOmUASFKnDABJ6pQBIEmdMgAkqVMGgCR1ygCQpE4ZAJLUKQNAkjplAEhSpwwASeqUASBJnTIAJKlTBoAkdcoAkKROGQCS1CkDQJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkThkAktQpA0CSOmUASFKnDABJ6pQBIEmdMgAkqVMGgCR1ygCQpE7NGQBJtiXZm+SxodrRSXYk2dXuV7Z6klyTZDLJI0lOHXrM5jZ+V5LNh2Z1JEnzNZ89gH8GNhxQ2wrcUVVrgTvaPMC5wNp22wJcC4PAAC4HTgdOAy6fCg1J0mjMGQBV9V1g/wHljcD2Nr0dOH+ofkMN3AOsSHI8cA6wo6r2V9XzwA5+M1QkSUvoYM8BHFdVzwK0+2NbfRXwzNC43a02U12SNCKLfRI409RqlvpvPkGyJcnOJDv37du3qM1Jkn7tYAPguXZoh3a/t9V3AycMjVsN7Jml/huq6rqqWldV6yYmJg6yPUnSXA42AG4Fpq7k2QzcMlS/qF0NdAbwYjtEdDuwPsnKdvJ3fatJkkbk8LkGJPkq8HvAMUl2M7ia50rgpiSXAD8GLmzDbwPOAyaBXwAXA1TV/iSfBu5v4z5VVQeeWJYkLaE5A6CqPjzDorOnGVvApTM8zzZg24K6kyQdMn4TWJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkThkAktQpA0CSOmUASFKnDABJ6pQBIEmdMgAkqVMGgCR1ygCQpE4ZAJLUKQNAkjplAEhSpwwASeqUASBJnTIAJKlTBoAkdcoAkKROGQCS1CkDQJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkThkAktSpw5f6BZNsAP4BOAz4UlVdudQ9vFGt2frtkb3201d+aGSvLengLOkeQJLDgM8D5wInAx9OcvJS9iBJGljqQ0CnAZNV9VRV/S9wI7BxiXuQJLH0h4BWAc8Mze8GTl/iHnQIjOrwU4+HnjzUp8Wy1AGQaWr1mgHJFmBLm/15kienecwxwE8WubelZP+LJFcd1MOWTf8HaWT9H+T7faBxf/9h+a/Db81n0FIHwG7ghKH51cCe4QFVdR1w3WxPkmRnVa1b/PaWhv2Plv2P1rj3D2+MdYClPwdwP7A2yYlJjgQ2AbcucQ+SJJZ4D6CqXk7yEeB2BpeBbquqx5eyB0nSwJJ/D6CqbgNue51PM+shojFg/6Nl/6M17v3DG2MdSFXNPUqS9IbjT0FIUqfGLgCSbEjyZJLJJFtH3c9Mkjyd5NEkDyXZ2WpHJ9mRZFe7X9nqSXJNW6dHkpw6gn63Jdmb5LGh2oL7TbK5jd+VZPOI+/9Ekv9u2+ChJOcNLbus9f9kknOG6iP5fCU5IcldSZ5I8niSj7b6WGyDWfofi22Q5M1J7kvycOv/k61+YpJ723v5tXbxCkmOavOTbfmaudZrWaqqsbkxOHH8Q+Ak4EjgYeDkUfc1Q69PA8ccUPs7YGub3gpc1abPA/6NwfckzgDuHUG/HwBOBR472H6Bo4Gn2v3KNr1yhP1/AvjLacae3D47RwEnts/UYaP8fAHHA6e26bcDP2h9jsU2mKX/sdgG7X18W5s+Ari3va83AZta/YvAn7XpPwe+2KY3AV+bbb2W4jN0MLdx2wMY95+S2Ahsb9PbgfOH6jfUwD3AiiTHL2VjVfVdYP8B5YX2ew6wo6r2V9XzwA5gw6Hvfsb+Z7IRuLGqXqqqHwGTDD5bI/t8VdWzVfW9Nv0z4AkG35wfi20wS/8zWVbboL2PP2+zR7RbAWcBN7f6ge//1Ha5GTg7SZh5vZalcQuA6X5KYrYP2SgV8J0kD2Tw7WaA46rqWRj8gwGObfXlul4L7Xc5rsdH2iGSbVOHT1jm/bfDCe9n8Ffo2G2DA/qHMdkGSQ5L8hCwl0Fw/hB4oapenqaXV/tsy18E3skyeP8XYtwCYM6fklhGzqyqUxn88umlST4wy9hxWi+Yud/lth7XAr8NnAI8C/x9qy/b/pO8Dfg68LGq+ulsQ6epjXwdpul/bLZBVb1SVacw+IWC04D3zNLLsuv/YIxbAMz5UxLLRVXtafd7gW8y+EA9N3Vop93vbcOX63ottN9ltR5V9Vz7R/0r4J/49a74suw/yREM/vP8SlV9o5XHZhtM1/+4bQOAqnoBuJvBOYAVSaa+LzXcy6t9tuXvYHAIcuT9L8S4BcBY/JREkrcmefvUNLAeeIxBr1NXZWwGbmnTtwIXtSs7zgBenNrtH7GF9ns7sD7Jyrarv77VRuKA8yh/xGAbwKD/Te1KjhOBtcB9jPDz1Y4fXw88UVWfHVo0Fttgpv7HZRskmUiyok2/Bfggg/MYdwEXtGEHvv9T2+UC4M4anAWeab2Wp1GfhV7ojcHVDz9gcHzu46PuZ4YeT2JwJcDDwONTfTI4RngHsKvdH12/vgLh822dHgXWjaDnrzLYRf8/Bn/FXHIw/QJ/yuDE1yRw8Yj7/3Lr7xEG/zCPHxr/8db/k8C5o/58Ab/L4FDBI8BD7XbeuGyDWfofi20A/A7wYOvzMeBvW/0kBv+BTwL/ChzV6m9u85Nt+UlzrddyvPlNYEnq1LgdApIkLRIDQJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkTv0/trnrPcA/+T4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd0a1183be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# See how big most of our images are\n",
    "# Most are 500 wide \n",
    "plt.hist(row_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 135.,  592., 1347., 1164., 4599.,  128.,   76.,   62.,   14.,   11.]),\n",
       " array([ 97. , 185.5, 274. , 362.5, 451. , 539.5, 628. , 716.5, 805. , 893.5, 982. ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/W7+DQSD0PE/eBTxZVXNV9SvgG8Cf0fc8OWqx82LR88UAWAJJAtwK7K+qTw1t2g0cvRK/jcG1gaP1D7ar+ZuA548e6i0XVXVtVa2rqmkGF/XuraoPAPcBV7Rmx4/J0bG6orVfVr/ZVdV/A08n+eNWuhh4nI7nCYNTP5uS/H77e3R0TLqdJ0MWOy/uAS5JsrodWV3Saic36Qsfy+EB/DmDQ61HgO+2x3sYnJvcCxxoz2e39mHwH+P8APgegzsgJr4fZ3B83gnc1ZbfADwAzAD/DJzV6q9s6zNt+xsm3e8zNBZvBfa1ufJNYHXv8wT4GPB94FHgy8BZvc0T4KsMroH8isFv8ttPZ14Af9XGZgb40Kj39ZPAktQpTwFJUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkThkAktQpA0CSOvX/pRSDwW6teQ4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd0a11ef780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can take out some of the outliers to get a more detailed view\n",
    "plt.hist(row_size[row_size<1000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could do the same for the columns. This is just to make sure we don't have any super wide/big images, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8178, 10357)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the size of the training and test data sets\n",
    "len(data.trn_ds), len(data.test_ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(120,\n",
       " ['affenpinscher',\n",
       "  'afghan_hound',\n",
       "  'african_hunting_dog',\n",
       "  'airedale',\n",
       "  'american_staffordshire_terrier'])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the num of classes\n",
    "len(data.classes), data.classes[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting up the model\n",
    "Now that we've done some data exploration, we can set up the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convenience method\n",
    "def get_data(size, batch_size):\n",
    "    transforms = tfms_from_model(architecture, size, aug_tfms=transforms_side_on, max_zoom=1.1)\n",
    "    data = ImageClassifierData.from_csv(PATH, 'train', f'{PATH}labels.csv', test_name='test', num_workers=4,\n",
    "                                       val_idxs=val_idxs, suffix='.jpg', tfms=transforms, bs=batch_size)\n",
    "    return data if size>300 else data.resize(340, 'tmp')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Precompute\n",
    "Set precompute to do and do our initial training for the final layers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "09b1ffa050fd42e5a160dda8fb3691d0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=6), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "data = get_data(size, batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = ConvLearner.pretrained(architecture, data, precompute=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "44c2750464804264924012874f58dea9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Epoch', max=5), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.      0.92608 0.39313 0.90853]                            \n",
      "[1.      0.43449 0.36583 0.91092]                            \n",
      "[2.      0.30892 0.30343 0.91331]                            \n",
      "[3.      0.25296 0.31098 0.91906]                            \n",
      "[4.      0.19217 0.30561 0.91667]                            \n",
      "\n"
     ]
    }
   ],
   "source": [
    "learn.fit(1e-2, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Augment\n",
    "Next we turn precompute off so we can use data augmentations (transformations)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "83ece9a54156418aa5405735ecaaaf01",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=6), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "data = get_data(size, batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = ConvLearner.pretrained(architecture, data, precompute=True, ps=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2eb95b45c4ad482ba9396a6ea7506f9b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Epoch', max=2), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.      1.13687 0.4544  0.90079]                           \n",
      "[1.      0.54595 0.39578 0.91236]                            \n",
      "\n"
     ]
    }
   ],
   "source": [
    "learn.fit(1e-2, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.precompute=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "214265eb39604482a003a6a6b19ed457",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Epoch', max=5), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.      0.4454  0.27167 0.92241]                            \n",
      "[1.      0.40716 0.26172 0.92672]                            \n",
      "[2.      0.38718 0.25009 0.92522]                            \n",
      "[3.      0.35889 0.23875 0.93343]                            \n",
      "[4.      0.33432 0.23403 0.93151]                            \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Use the learning rate finder to check the learning rate is optimal\n",
    "# Tried 5 epochs to check the accuracy was getting better, then stuck with that\n",
    "learn.fit(1e-2, 5, cycle_len=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save our weights\n",
    "learn.save('224_pre')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.load('224_pre')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Increase size\n",
    "Then we increase the size of the images.\n",
    "\n",
    "A tip Jeremy has is to train on smaller images, then train on larger images, so the images are different. It prevents overfitting. Also, training on the small images is faster, so do it first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "model_id": "83598ce32fbf42c5818c57cad556af6a",
       "version_major": 2,
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      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
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       "HBox(children=(IntProgress(value=0, max=6), HTML(value='')))"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "learn.set_data(get_data(299, batch_size))\n",
    "learn.freeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2bd07488b7ec46acab974f922191a503",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
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       "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))"
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.      0.34207 0.22987 0.93343]                            \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# If the training loss is greater than the validation loss, we're underfiting\n",
    "# We can up the cycle_mult parameter to correct this\n",
    "# (We'd do 3 epochs normally)\n",
    "learn.fit(1e-2, 1, cycle_len=1, cycle_mult=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                             \r"
     ]
    }
   ],
   "source": [
    "# Then try using test time augmentation to see if that gives better results\n",
    "log_preds, y = learn.TTA()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.23592007515597008"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "probs = np.mean(np.exp(log_preds), 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9339530332681018"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_np(probs, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We didn't unfreeze and try training more. This data is from image-net, that tuning the layers that were already pretrained on image-net anyway didn't make any difference."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create the submission\n",
    "Now that we've trained our model, we want to submit it to Kaggle. In the evaluation section of the competition, you can see the requested format:\n",
    "\n",
    "`id,affenpinscher,afghan_hound,..,yorkshire_terrier\n",
    "000621fb3cbb32d8935728e48679680e,0.0083,0.0,...,0.0083\n",
    "etc.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>id</th>\n",
       "      <th>affenpinscher</th>\n",
       "      <th>afghan_hound</th>\n",
       "      <th>african_hunting_dog</th>\n",
       "      <th>airedale</th>\n",
       "      <th>american_staffordshire_terrier</th>\n",
       "      <th>appenzeller</th>\n",
       "      <th>australian_terrier</th>\n",
       "      <th>basenji</th>\n",
       "      <th>basset</th>\n",
       "      <th>...</th>\n",
       "      <th>toy_poodle</th>\n",
       "      <th>toy_terrier</th>\n",
       "      <th>vizsla</th>\n",
       "      <th>walker_hound</th>\n",
       "      <th>weimaraner</th>\n",
       "      <th>welsh_springer_spaniel</th>\n",
       "      <th>west_highland_white_terrier</th>\n",
       "      <th>whippet</th>\n",
       "      <th>wire-haired_fox_terrier</th>\n",
       "      <th>yorkshire_terrier</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000621fb3cbb32d8935728e48679680e</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00102ee9d8eb90812350685311fe5890</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0012a730dfa437f5f3613fb75efcd4ce</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>001510bc8570bbeee98c8d80c8a95ec1</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>001a5f3114548acdefa3d4da05474c2e</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 121 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 id  affenpinscher  afghan_hound  \\\n",
       "0  000621fb3cbb32d8935728e48679680e       0.008333      0.008333   \n",
       "1  00102ee9d8eb90812350685311fe5890       0.008333      0.008333   \n",
       "2  0012a730dfa437f5f3613fb75efcd4ce       0.008333      0.008333   \n",
       "3  001510bc8570bbeee98c8d80c8a95ec1       0.008333      0.008333   \n",
       "4  001a5f3114548acdefa3d4da05474c2e       0.008333      0.008333   \n",
       "\n",
       "   african_hunting_dog  airedale  american_staffordshire_terrier  appenzeller  \\\n",
       "0             0.008333  0.008333                        0.008333     0.008333   \n",
       "1             0.008333  0.008333                        0.008333     0.008333   \n",
       "2             0.008333  0.008333                        0.008333     0.008333   \n",
       "3             0.008333  0.008333                        0.008333     0.008333   \n",
       "4             0.008333  0.008333                        0.008333     0.008333   \n",
       "\n",
       "   australian_terrier   basenji    basset        ...          toy_poodle  \\\n",
       "0            0.008333  0.008333  0.008333        ...            0.008333   \n",
       "1            0.008333  0.008333  0.008333        ...            0.008333   \n",
       "2            0.008333  0.008333  0.008333        ...            0.008333   \n",
       "3            0.008333  0.008333  0.008333        ...            0.008333   \n",
       "4            0.008333  0.008333  0.008333        ...            0.008333   \n",
       "\n",
       "   toy_terrier    vizsla  walker_hound  weimaraner  welsh_springer_spaniel  \\\n",
       "0     0.008333  0.008333      0.008333    0.008333                0.008333   \n",
       "1     0.008333  0.008333      0.008333    0.008333                0.008333   \n",
       "2     0.008333  0.008333      0.008333    0.008333                0.008333   \n",
       "3     0.008333  0.008333      0.008333    0.008333                0.008333   \n",
       "4     0.008333  0.008333      0.008333    0.008333                0.008333   \n",
       "\n",
       "   west_highland_white_terrier   whippet  wire-haired_fox_terrier  \\\n",
       "0                     0.008333  0.008333                 0.008333   \n",
       "1                     0.008333  0.008333                 0.008333   \n",
       "2                     0.008333  0.008333                 0.008333   \n",
       "3                     0.008333  0.008333                 0.008333   \n",
       "4                     0.008333  0.008333                 0.008333   \n",
       "\n",
       "   yorkshire_terrier  \n",
       "0           0.008333  \n",
       "1           0.008333  \n",
       "2           0.008333  \n",
       "3           0.008333  \n",
       "4           0.008333  \n",
       "\n",
       "[5 rows x 121 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission_csv = f'{PATH}sample_submission.csv'\n",
    "submission_df = pd.read_csv(submission_csv)\n",
    "submission_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['affenpinscher',\n",
       " 'afghan_hound',\n",
       " 'african_hunting_dog',\n",
       " 'airedale',\n",
       " 'american_staffordshire_terrier',\n",
       " 'appenzeller',\n",
       " 'australian_terrier',\n",
       " 'basenji',\n",
       " 'basset',\n",
       " 'beagle',\n",
       " 'bedlington_terrier',\n",
       " 'bernese_mountain_dog',\n",
       " 'black-and-tan_coonhound',\n",
       " 'blenheim_spaniel',\n",
       " 'bloodhound',\n",
       " 'bluetick',\n",
       " 'border_collie',\n",
       " 'border_terrier',\n",
       " 'borzoi',\n",
       " 'boston_bull',\n",
       " 'bouvier_des_flandres',\n",
       " 'boxer',\n",
       " 'brabancon_griffon',\n",
       " 'briard',\n",
       " 'brittany_spaniel',\n",
       " 'bull_mastiff',\n",
       " 'cairn',\n",
       " 'cardigan',\n",
       " 'chesapeake_bay_retriever',\n",
       " 'chihuahua',\n",
       " 'chow',\n",
       " 'clumber',\n",
       " 'cocker_spaniel',\n",
       " 'collie',\n",
       " 'curly-coated_retriever',\n",
       " 'dandie_dinmont',\n",
       " 'dhole',\n",
       " 'dingo',\n",
       " 'doberman',\n",
       " 'english_foxhound',\n",
       " 'english_setter',\n",
       " 'english_springer',\n",
       " 'entlebucher',\n",
       " 'eskimo_dog',\n",
       " 'flat-coated_retriever',\n",
       " 'french_bulldog',\n",
       " 'german_shepherd',\n",
       " 'german_short-haired_pointer',\n",
       " 'giant_schnauzer',\n",
       " 'golden_retriever',\n",
       " 'gordon_setter',\n",
       " 'great_dane',\n",
       " 'great_pyrenees',\n",
       " 'greater_swiss_mountain_dog',\n",
       " 'groenendael',\n",
       " 'ibizan_hound',\n",
       " 'irish_setter',\n",
       " 'irish_terrier',\n",
       " 'irish_water_spaniel',\n",
       " 'irish_wolfhound',\n",
       " 'italian_greyhound',\n",
       " 'japanese_spaniel',\n",
       " 'keeshond',\n",
       " 'kelpie',\n",
       " 'kerry_blue_terrier',\n",
       " 'komondor',\n",
       " 'kuvasz',\n",
       " 'labrador_retriever',\n",
       " 'lakeland_terrier',\n",
       " 'leonberg',\n",
       " 'lhasa',\n",
       " 'malamute',\n",
       " 'malinois',\n",
       " 'maltese_dog',\n",
       " 'mexican_hairless',\n",
       " 'miniature_pinscher',\n",
       " 'miniature_poodle',\n",
       " 'miniature_schnauzer',\n",
       " 'newfoundland',\n",
       " 'norfolk_terrier',\n",
       " 'norwegian_elkhound',\n",
       " 'norwich_terrier',\n",
       " 'old_english_sheepdog',\n",
       " 'otterhound',\n",
       " 'papillon',\n",
       " 'pekinese',\n",
       " 'pembroke',\n",
       " 'pomeranian',\n",
       " 'pug',\n",
       " 'redbone',\n",
       " 'rhodesian_ridgeback',\n",
       " 'rottweiler',\n",
       " 'saint_bernard',\n",
       " 'saluki',\n",
       " 'samoyed',\n",
       " 'schipperke',\n",
       " 'scotch_terrier',\n",
       " 'scottish_deerhound',\n",
       " 'sealyham_terrier',\n",
       " 'shetland_sheepdog',\n",
       " 'shih-tzu',\n",
       " 'siberian_husky',\n",
       " 'silky_terrier',\n",
       " 'soft-coated_wheaten_terrier',\n",
       " 'staffordshire_bullterrier',\n",
       " 'standard_poodle',\n",
       " 'standard_schnauzer',\n",
       " 'sussex_spaniel',\n",
       " 'tibetan_mastiff',\n",
       " 'tibetan_terrier',\n",
       " 'toy_poodle',\n",
       " 'toy_terrier',\n",
       " 'vizsla',\n",
       " 'walker_hound',\n",
       " 'weimaraner',\n",
       " 'welsh_springer_spaniel',\n",
       " 'west_highland_white_terrier',\n",
       " 'whippet',\n",
       " 'wire-haired_fox_terrier',\n",
       " 'yorkshire_terrier']"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Take a look at the different classes we have.\n",
    "# They can be accessed from our data object.\n",
    "data.classes"
   ]
  },
  {
   "cell_type": "code",
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       " 'test/e241e149039740594a6af60dc18b269b.jpg',\n",
       " ...]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can also see all of the file names\n",
    "data.test_ds.fnames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                              \r"
     ]
    }
   ],
   "source": [
    "# Get predictions on the test set\n",
    "# (We can't get accuracy since by definition we don't know)\n",
    "log_preds, y = learn.TTA(is_test=True)\n",
    "probs = np.mean(np.exp(log_preds), 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10357, 120)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 10357 images, 120 possible breeds\n",
    "# Think of it like a matri -- a list of images, then a probability for the breeds\n",
    "probs.shape "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(probs)\n",
    "df.columns = data.classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Insert the IDs, but remove the test/ before the file name ([5:-4])\n",
    "df.insert(0, 'id', [o[5:-4] for o in data.test_ds.fnames])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>weimaraner</th>\n",
       "      <th>welsh_springer_spaniel</th>\n",
       "      <th>west_highland_white_terrier</th>\n",
       "      <th>whippet</th>\n",
       "      <th>wire-haired_fox_terrier</th>\n",
       "      <th>yorkshire_terrier</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>de084b830010b6107215fef5d4a75b94</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000110</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>7.672430e-07</td>\n",
       "      <td>3.367392e-06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.198677e-06</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>6.501280e-06</td>\n",
       "      <td>1.887059e-06</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>4.076534e-06</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>1.166302e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6b423ca7020e70eb05732843c5d2bad1</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>0.000325</td>\n",
       "      <td>0.000021</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>4.944084e-06</td>\n",
       "      <td>1.226995e-05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.103837e-05</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>1.619151e-06</td>\n",
       "      <td>5.791285e-07</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>8.745586e-06</td>\n",
       "      <td>0.000345</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000052</td>\n",
       "      <td>2.870508e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>74aa7e201e0e93e13e87b986a7d31839</td>\n",
       "      <td>0.000078</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>0.003559</td>\n",
       "      <td>0.000409</td>\n",
       "      <td>0.000041</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>1.390945e-04</td>\n",
       "      <td>1.496679e-05</td>\n",
       "      <td>...</td>\n",
       "      <td>5.939487e-05</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>1.552802e-04</td>\n",
       "      <td>7.329275e-05</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>1.114965e-04</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000251</td>\n",
       "      <td>0.243859</td>\n",
       "      <td>3.139315e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>a079f72193264bc5685e5d28d7372680</td>\n",
       "      <td>0.000064</td>\n",
       "      <td>0.000024</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000177</td>\n",
       "      <td>2.290131e-06</td>\n",
       "      <td>1.020107e-05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.873471e-05</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>1.161859e-05</td>\n",
       "      <td>3.685182e-06</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>2.911502e-05</td>\n",
       "      <td>0.000159</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.000835</td>\n",
       "      <td>2.092581e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>583f7580fa5fec1266331fcf83b76fd6</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000122</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1.663623e-06</td>\n",
       "      <td>5.128858e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>9.443419e-07</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>2.278522e-07</td>\n",
       "      <td>1.967593e-07</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>8.487252e-07</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>8.924907e-07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 121 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 id  affenpinscher  afghan_hound  \\\n",
       "0  de084b830010b6107215fef5d4a75b94       0.000018      0.000110   \n",
       "1  6b423ca7020e70eb05732843c5d2bad1       0.000029      0.000325   \n",
       "2  74aa7e201e0e93e13e87b986a7d31839       0.000078      0.000045   \n",
       "3  a079f72193264bc5685e5d28d7372680       0.000064      0.000024   \n",
       "4  583f7580fa5fec1266331fcf83b76fd6       0.000005      0.000011   \n",
       "\n",
       "   african_hunting_dog  airedale  american_staffordshire_terrier  appenzeller  \\\n",
       "0             0.000039  0.000007                        0.000008     0.000004   \n",
       "1             0.000021  0.000039                        0.000005     0.000002   \n",
       "2             0.000026  0.003559                        0.000409     0.000041   \n",
       "3             0.000049  0.000095                        0.000048     0.000002   \n",
       "4             0.000016  0.000122                        0.000003     0.000008   \n",
       "\n",
       "   australian_terrier       basenji        basset        ...          \\\n",
       "0            0.000001  7.672430e-07  3.367392e-06        ...           \n",
       "1            0.000039  4.944084e-06  1.226995e-05        ...           \n",
       "2            0.000045  1.390945e-04  1.496679e-05        ...           \n",
       "3            0.000177  2.290131e-06  1.020107e-05        ...           \n",
       "4            0.000003  1.663623e-06  5.128858e-07        ...           \n",
       "\n",
       "     toy_poodle  toy_terrier        vizsla  walker_hound  weimaraner  \\\n",
       "0  1.198677e-06     0.000002  6.501280e-06  1.887059e-06    0.000010   \n",
       "1  1.103837e-05     0.000002  1.619151e-06  5.791285e-07    0.000008   \n",
       "2  5.939487e-05     0.000068  1.552802e-04  7.329275e-05    0.000020   \n",
       "3  1.873471e-05     0.000027  1.161859e-05  3.685182e-06    0.000012   \n",
       "4  9.443419e-07     0.000006  2.278522e-07  1.967593e-07    0.000003   \n",
       "\n",
       "   welsh_springer_spaniel  west_highland_white_terrier   whippet  \\\n",
       "0            4.076534e-06                     0.000017  0.000051   \n",
       "1            8.745586e-06                     0.000345  0.000012   \n",
       "2            1.114965e-04                     0.000083  0.000251   \n",
       "3            2.911502e-05                     0.000159  0.000013   \n",
       "4            8.487252e-07                     0.000001  0.000015   \n",
       "\n",
       "   wire-haired_fox_terrier  yorkshire_terrier  \n",
       "0                 0.000002       1.166302e-06  \n",
       "1                 0.000052       2.870508e-05  \n",
       "2                 0.243859       3.139315e-05  \n",
       "3                 0.000835       2.092581e-04  \n",
       "4                 0.000034       8.924907e-07  \n",
       "\n",
       "[5 rows x 121 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now we have the data in our submission format\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Then we just save it to a file\n",
    "submission = f'{PATH}subm/'\n",
    "os.makedirs(submission, exist_ok=True)\n",
    "df.to_csv(f'{submission}submission.gz', compression='gzip', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<a href='data/dogbreed/subm/submission.gz' target='_blank'>data/dogbreed/subm/submission.gz</a><br>"
      ],
      "text/plain": [
       "/home/paperspace/fastai/courses/dl1/data/dogbreed/subm/submission.gz"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a link to the file to download\n",
    "FileLink(f'{submission}submission.gz')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Predicting individual images\n",
    "Sometimes you might want to predict just one image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name = data.val_ds.fnames[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'train/000bec180eb18c7604dcecc8fe0dba07.jpg'"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=150x150 at 0x7FD0A076B828>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image.open(PATH+file_name).resize((150, 150))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "trn_tfms,val_tfms = tfms_from_model(architecture, size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prediction expects a mini-batch -- a collection, we by indexing with\n",
    "# im[None] we essentially create a mini-batch just containing that one image\n",
    "im = val_tfms(Image.open(PATH+file_name))\n",
    "preds = learn.predict_array(im[None])\n",
    "np.argmax(preds)"
   ]
  },
  {
   "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}