analyse_score_latent_space.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from utils.constant import ATTRIBUTES\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "font_size = 26\n",
    "sns.set_style(\"white\")\n",
    "plt.rcParams['xtick.labelsize'] = font_size\n",
    "plt.rcParams['ytick.labelsize'] = font_size\n",
    "plt.rcParams['axes.spines.left'] = False\n",
    "plt.rcParams['axes.spines.right'] = False\n",
    "plt.rcParams['axes.spines.top'] = False\n",
    "plt.rcParams[\"legend.loc\"] = 'best'\n",
    "plt.rcParams[\"figure.figsize\"] = (30, 15)\n",
    "plt.rcParams.update({'font.size': font_size})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_score_per_attr(scores_file, model_name, display_df = False):\n",
    "    with open(scores_file) as json_data:\n",
    "        attributes_dict = json.load(json_data)\n",
    "    array_preds = np.array([np.round(np.array(l)) for l in attributes_dict['logits']])\n",
    "    total_preds = np.sum(array_preds, axis=0).astype(int)\n",
    "    df = pd.DataFrame(columns=['count','attributes'])\n",
    "\n",
    "    df['count'] = total_preds/array_preds.shape[0]\n",
    "    df['attributes'] = ATTRIBUTES.values()\n",
    "    df['attributes_id'] = [i for i in range(40)]\n",
    "    \n",
    "    if display_df: print(df)\n",
    "    ax = plt.axes()\n",
    "    sns.barplot(data=df, x='attributes_id', y='count', orient='v', ax=ax, palette='muted')\n",
    "\n",
    "    ax.set_xlabel(\"Classes\")\n",
    "    ax.set_ylabel(\"Pourcentages\")\n",
    "    ax.title.set_text(f\"Pourcentage de predictions par classe pour {model_name}\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0: '5_o_Clock_Shadow', 1: 'Arched_Eyebrows', 2: 'Attractive', 3: 'Bags_Under_Eyes', 4: 'Bald', 5: 'Bangs', 6: 'Big_Lips', 7: 'Big_Nose', 8: 'Black_Hair', 9: 'Blond_Hair', 10: 'Blurry', 11: 'Brown_Hair', 12: 'Bushy_Eyebrows', 13: 'Chubby', 14: 'Double_Chin', 15: 'Eyeglasses', 16: 'Goatee', 17: 'Gray_Hair', 18: 'Heavy_Makeup', 19: 'High_Cheekbones', 20: 'Male', 21: 'Mouth_Slightly_Open', 22: 'Mustache', 23: 'Narrow_Eyes', 24: 'No_Beard', 25: 'Oval_Face', 26: 'Pale_Skin', 27: 'Pointy_Nose', 28: 'Receding_Hairline', 29: 'Rosy_Cheeks', 30: 'Sideburns', 31: 'Smiling', 32: 'Straight_Hair', 33: 'Wavy_Hair', 34: 'Wearing_Earrings', 35: 'Wearing_Hat', 36: 'Wearing_Lipstick', 37: 'Wearing_Necklace', 38: 'Wearing_Necktie', 39: 'Young'}\n"
     ]
    }
   ],
   "source": [
    "print(ATTRIBUTES)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores_files = ['outputs_stylegan/stylegan/scores_stylegan.json', \n",
    "                'outputs_stylegan/stylegan2/scores_stylegan2.json', \n",
    "                'outputs_stylegan/stylegan3/scores_stylegan3.json']\n",
    "model_name = ['StyleGAN', 'StyleGAN2', 'StyleGAN3']\n",
    "\n",
    "for score, model in zip(scores_files, model_name):\n",
    "    plot_score_per_attr(score, model)"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "84a4f61b0c2378dc6730766c99465afa5d30d53c8a72903c9dd368f928a9ec02"
  },
  "kernelspec": {
   "display_name": "Python 3.8.12 64-bit ('projet_IN': conda)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}