{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: Created TensorFlow Lite XNNPACK delegate for CPU.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.path.insert(0,'..')\n",
    "\n",
    "from src.keypoint_extractor import KeypointExtractor\n",
    "from src.datasets.finger_spelling_dataset import FingerSpellingDataset\n",
    "from src.identifiers import LANDMARKS\n",
    "import torch\n",
    "from src.model import SPOTER\n",
    "from sklearn.metrics import confusion_matrix\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sn\n",
    "import matplotlib.pyplot as plt\n",
    "from src.augmentations import MirrorKeypoints\n",
    "\n",
    "keypoints_extractor = KeypointExtractor()\n",
    "test_set = FingerSpellingDataset(\"../data/fingerspelling/data/\", bad_data_folder=\"\", keypoints_identifier=LANDMARKS, subset=\"test\")\n",
    "\n",
    "spoter = SPOTER(num_classes=26, hidden_dim=len(LANDMARKS) *2)\n",
    "spoter.load_state_dict(torch.load('../checkpoints/spoter_111.pth'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 4  6  8 10  8  2  3 10  6  4  3  4  1  5  3  4  3  0  7  3  3  5  3  1\n",
      "  3]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pred = []\n",
    "y_true = []\n",
    "\n",
    "for inputs, label in test_set:\n",
    "    output = spoter(inputs) # Feed Network\n",
    "\n",
    "    output = torch.argmax(output, dim=2) # Get Prediction\n",
    "    output = output.detach().numpy().tolist()[0] # Convert to list\n",
    "    \n",
    "    y_true.extend(output) # Save Truth\n",
    "\n",
    "    y_pred.append(label) # Save Prediction\n",
    "\n",
    "\n",
    "# how many items for each class\n",
    "print(np.bincount(y_true))\n",
    "\n",
    "# Build confusion matrix\n",
    "cf_matrix = confusion_matrix(y_true, y_pred)\n",
    "df_cm = pd.DataFrame(cf_matrix, index = [i for i in [chr(i) for i in range(65, 91)]],\n",
    "                     columns = [i for i in [chr(i) for i in range(65, 91)]])\n",
    "plt.figure(figsize = (12,7))\n",
    "sn.heatmap(df_cm, annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}