Notebooks/ImageNet_8_Process_hand_survey_files.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Code to parse through the hand annotated folders to generate the dataframe:\n",
    "```\n",
    "import os\n",
    "##################################\n",
    "cat_list=['beach_voyeur',\n",
    " 'exposed_private_parts',\n",
    " 'upskirt',\n",
    " 'verifiably_pornographic']\n",
    "##################################\n",
    "import pandas as pd\n",
    "df_list=pd.DataFrame(columns=['wordnet_id','category','file_names'])\n",
    "##################################\n",
    "i=0\n",
    "for root, dirs, files in os.walk(\".\"):\n",
    "    for filename in files:\n",
    "        if((root[2:] in cat_list) & (filename.split('.')[-1]=='JPEG')):\n",
    "            if(filename=='ILSVRC2012_val_00021081.JPEG'):\n",
    "                list_row=['n03710637',root[2:],filename]\n",
    "            else:\n",
    "                list_row=[filename.split('_')[0],root[2:],filename]\n",
    "            df_list.loc[i,:]=list_row\n",
    "            i+=1\n",
    "##################################\n",
    "# Export the file:\n",
    "df_imagenet=pd.read_csv('df_census_imagenet_all.csv')\n",
    "col_list=['wordnet_id', 'label','mean_nsfw_train']\n",
    "df_filt=df_imagenet.loc[df_imagenet.wordnet_id.isin(list(df_list.wordnet_id.unique())),col_list]\n",
    "df_filt.reset_index(inplace=True,drop=True)\n",
    "df_filt_final=df_filt.merge(df_list,on='wordnet_id')\n",
    "df_filt_final.to_csv('df_hand_survey.csv',index=False)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>wordnet_id</th>\n",
       "      <th>category</th>\n",
       "      <th>file_names</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>n03710637</td>\n",
       "      <td>beach_voyeur</td>\n",
       "      <td>ILSVRC2012_val_00021081.JPEG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>n02837789</td>\n",
       "      <td>beach_voyeur</td>\n",
       "      <td>n02837789_11383.JPEG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>n02837789</td>\n",
       "      <td>beach_voyeur</td>\n",
       "      <td>n02837789_12451.JPEG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>n02837789</td>\n",
       "      <td>beach_voyeur</td>\n",
       "      <td>n02837789_13794.JPEG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>n02837789</td>\n",
       "      <td>beach_voyeur</td>\n",
       "      <td>n02837789_14133.JPEG</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  wordnet_id      category                    file_names\n",
       "0  n03710637  beach_voyeur  ILSVRC2012_val_00021081.JPEG\n",
       "1  n02837789  beach_voyeur          n02837789_11383.JPEG\n",
       "2  n02837789  beach_voyeur          n02837789_12451.JPEG\n",
       "3  n02837789  beach_voyeur          n02837789_13794.JPEG\n",
       "4  n02837789  beach_voyeur          n02837789_14133.JPEG"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df_list=pd.read_csv('df_hand_survey.csv')\n",
    "df_list.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_imagenet=pd.read_csv('df_census_imagenet_61.csv')\n",
    "col_list=['wordnet_id', 'label','mean_nsfw_train']\n",
    "df_filt=df_imagenet.loc[df_imagenet.wordnet_id.isin(list(df_list.wordnet_id.unique())),col_list]\n",
    "df_filt.reset_index(inplace=True,drop=True)\n",
    "df_filt_final=df_filt.merge(df_list,on='wordnet_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.subplot(121)\n",
    "df_list.category.value_counts().plot(kind='bar')\n",
    "plt.xlabel('Category of images')\n",
    "plt.ylabel('Number of images')\n",
    "plt.subplot(122)\n",
    "df_list.wordnet_id.value_counts().plot(kind='bar')\n",
    "plt.xlabel('Wordnet-ID of categories')\n",
    "plt.ylabel('Number of images')\n",
    "plt.tight_layout()\n",
    "plt.savefig('cnt_hand_survey.pdf',bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ct=pd.crosstab(df_list.wordnet_id,df_list.category)\n",
    "import seaborn as sns\n",
    "ax = sns.heatmap(ct, annot=True, fmt=\"d\",cmap=\"YlGnBu\",linewidths=.5)\n",
    "plt.xticks(rotation=15)\n",
    "plt.savefig('ct_hand_survey.pdf',bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     bikini, two-piece|0.859\n",
       "1     bikini, two-piece|0.859\n",
       "2     bikini, two-piece|0.859\n",
       "3     bikini, two-piece|0.859\n",
       "4     bikini, two-piece|0.859\n",
       "               ...           \n",
       "56      miniskirt, mini|0.619\n",
       "57      miniskirt, mini|0.619\n",
       "58            shower cap|0.13\n",
       "59            shower cap|0.13\n",
       "60            shower cap|0.13\n",
       "Name: label_nsfw, Length: 61, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "df_filt_final['label_nsfw']=df_filt_final.label.values+'|'+np.round(df_filt_final.mean_nsfw_train,3).astype(str)\n",
    "df_filt_final.label_nsfw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{llrll}\n",
      "\\toprule\n",
      "wordnet\\_id &                    label &  mean\\_nsfw\\_train &                 category &                    file\\_names \\\\\n",
      "\\midrule\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_11383.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_12451.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_13794.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_14133.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_15158.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_15170.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_15864.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &             n02837789\\_17.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_17291.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_17410.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_18107.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_18124.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_18260.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_20096.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &          n02837789\\_22044.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &            n02837789\\_283.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &           n02837789\\_3414.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &           n02837789\\_3536.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &              n02837789\\_4.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &           n02837789\\_5713.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &           n02837789\\_9181.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &             beach\\_voyeur &           n02837789\\_9859.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &    exposed\\_private\\_parts &          n02837789\\_17069.JPEG \\\\\n",
      " n02837789 &        bikini, two-piece &         0.859369 &    exposed\\_private\\_parts &          n02837789\\_19619.JPEG \\\\\n",
      " n02892767 &  brassiere, bra, bandeau &         0.610233 &    exposed\\_private\\_parts &          n02892767\\_19629.JPEG \\\\\n",
      " n02892767 &  brassiere, bra, bandeau &         0.610233 &    exposed\\_private\\_parts &           n02892767\\_3235.JPEG \\\\\n",
      " n02892767 &  brassiere, bra, bandeau &         0.610233 &                  upskirt &          n02892767\\_17717.JPEG \\\\\n",
      " n02892767 &  brassiere, bra, bandeau &         0.610233 &  verifiably\\_pornographic &           n02892767\\_5914.JPEG \\\\\n",
      " n03527444 &                  holster &         0.058000 &    exposed\\_private\\_parts &          n03527444\\_12661.JPEG \\\\\n",
      " n03617480 &                   kimono &         0.091925 &    exposed\\_private\\_parts &           n03617480\\_6206.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &  ILSVRC2012\\_val\\_00021081.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &          n03710637\\_15836.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &            n03710637\\_272.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &           n03710637\\_3832.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &           n03710637\\_5095.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &           n03710637\\_5373.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &           n03710637\\_5386.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &             n03710637\\_66.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &             beach\\_voyeur &           n03710637\\_7074.JPEG \\\\\n",
      " n03710637 &                  maillot &         0.801976 &    exposed\\_private\\_parts &           n03710637\\_6756.JPEG \\\\\n",
      " n03710721 &       maillot, tank suit &         0.768278 &             beach\\_voyeur &           n03710721\\_1812.JPEG \\\\\n",
      " n03710721 &       maillot, tank suit &         0.768278 &             beach\\_voyeur &           n03710721\\_3040.JPEG \\\\\n",
      " n03710721 &       maillot, tank suit &         0.768278 &             beach\\_voyeur &           n03710721\\_3488.JPEG \\\\\n",
      " n03710721 &       maillot, tank suit &         0.768278 &             beach\\_voyeur &           n03710721\\_7542.JPEG \\\\\n",
      " n03710721 &       maillot, tank suit &         0.768278 &             beach\\_voyeur &           n03710721\\_8122.JPEG \\\\\n",
      " n03710721 &       maillot, tank suit &         0.768278 &  verifiably\\_pornographic &          n03710721\\_25886.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &          n03770439\\_10283.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &          n03770439\\_18237.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &           n03770439\\_2462.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &           n03770439\\_2920.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &           n03770439\\_3615.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &           n03770439\\_4096.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &           n03770439\\_4203.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &           n03770439\\_6214.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &           n03770439\\_8550.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &                  upskirt &           n03770439\\_9676.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &  verifiably\\_pornographic &          n03770439\\_12003.JPEG \\\\\n",
      " n03770439 &          miniskirt, mini &         0.619425 &  verifiably\\_pornographic &           n03770439\\_1347.JPEG \\\\\n",
      " n04209133 &               shower cap &         0.130216 &    exposed\\_private\\_parts &          n04209133\\_10606.JPEG \\\\\n",
      " n04209133 &               shower cap &         0.130216 &    exposed\\_private\\_parts &            n04209133\\_206.JPEG \\\\\n",
      " n04209133 &               shower cap &         0.130216 &    exposed\\_private\\_parts &            n04209133\\_716.JPEG \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_filt_final['label_nsfw']=df_filt_final.label.values+'|'+np.round(df_filt_final.mean_nsfw_train,3).astype(str)\n",
    "ct_2=pd.crosstab(df_filt_final.label_nsfw,df_filt_final.category)\n",
    "ax = sns.heatmap(ct_2, annot=True, fmt=\"d\",cmap=\"YlGnBu\",linewidths=.5)\n",
    "plt.xticks(rotation=15)\n",
    "plt.savefig('crosstab_hand_survey.pdf',bbox_inches='tight')\n",
    "##########################################################\n",
    "print(df_filt_final.iloc[:,0:5].to_latex(index=False))  "
   ]
  }
 ],
 "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}