pre-process.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "import os\r\n",
    "import pickle\r\n",
    "import numpy as np\r\n",
    "import skimage.io \r\n",
    "import skimage.transform \r\n",
    "import matplotlib.pyplot as plt"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "source": [
    "d = 128"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "path = 'RawImage/RawImage/TrainingData/'\r\n",
    "train_data = np.zeros(shape=(5*len(os.listdir(path)), d, d))\r\n",
    "j = 0\r\n",
    "for i in os.listdir(path):\r\n",
    "    x = skimage.io.imread(path+i, as_gray=True)\r\n",
    "    x = skimage.transform.resize(x, (d, d))\r\n",
    "    train_data[j, :, :] = x\r\n",
    "    j += 1\r\n",
    "    x1 = np.fliplr(x)\r\n",
    "    x2 = np.flipud(x)\r\n",
    "    train_data[j, :, :] = x1\r\n",
    "    j += 1\r\n",
    "    train_data[j, :, :] = x2\r\n",
    "    j += 1\r\n",
    "    x3 = skimage.transform.rotate(x, angle=np.random.randint(0, 90))\r\n",
    "    x4 = skimage.transform.rotate(x, angle=np.random.randint(91, 180))\r\n",
    "    train_data[j, :, :] = x3\r\n",
    "    j += 1\r\n",
    "    train_data[j, :, :] = x4\r\n",
    "    j += 1"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "plt.imshow(x4, cmap='gray')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1790c818b80>"
      ]
     },
     "metadata": {},
     "execution_count": 4
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<svg height=\"251.467969pt\" version=\"1.1\" viewBox=\"0 0 257.9275 251.467969\" width=\"257.9275pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <metadata>\r\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n   <cc:Work>\r\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n    <dc:date>2021-09-01T11:08:17.872306</dc:date>\r\n    <dc:format>image/svg+xml</dc:format>\r\n    <dc:creator>\r\n     <cc:Agent>\r\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\r\n     </cc:Agent>\r\n    </dc:creator>\r\n   </cc:Work>\r\n  </rdf:RDF>\r\n </metadata>\r\n <defs>\r\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\r\n </defs>\r\n <g id=\"figure_1\">\r\n  <g id=\"patch_1\">\r\n   <path d=\"M 0 251.467969 \r\nL 257.9275 251.467969 \r\nL 257.9275 0 \r\nL 0 0 \r\nz\r\n\" style=\"fill:none;\"/>\r\n  </g>\r\n  <g id=\"axes_1\">\r\n   <g id=\"patch_2\">\r\n    <path d=\"M 33.2875 227.589844 \r\nL 250.7275 227.589844 \r\nL 250.7275 10.149844 \r\nL 33.2875 10.149844 \r\nz\r\n\" style=\"fill:#ffffff;\"/>\r\n   </g>\r\n   <g clip-path=\"url(#p73f6ce242e)\">\r\n    <image height=\"218\" id=\"image9c5443e175\" transform=\"scale(1 -1)translate(0 -218)\" width=\"218\" x=\"33.2875\" xlink:href=\"data:image/png;base64,\r\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\" y=\"-9.589844\"/>\r\n   </g>\r\n   <g id=\"matplotlib.axis_1\">\r\n    <g id=\"xtick_1\">\r\n     <g id=\"line2d_1\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL 0 3.5 \r\n\" id=\"m5682810457\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"34.136875\" xlink:href=\"#m5682810457\" y=\"227.589844\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_1\">\r\n      <!-- 0 -->\r\n      <g transform=\"translate(30.955625 242.188281)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 2034 4250 \r\nQ 1547 4250 1301 3770 \r\nQ 1056 3291 1056 2328 \r\nQ 1056 1369 1301 889 \r\nQ 1547 409 2034 409 \r\nQ 2525 409 2770 889 \r\nQ 3016 1369 3016 2328 \r\nQ 3016 3291 2770 3770 \r\nQ 2525 4250 2034 4250 \r\nz\r\nM 2034 4750 \r\nQ 2819 4750 3233 4129 \r\nQ 3647 3509 3647 2328 \r\nQ 3647 1150 3233 529 \r\nQ 2819 -91 2034 -91 \r\nQ 1250 -91 836 529 \r\nQ 422 1150 422 2328 \r\nQ 422 3509 836 4129 \r\nQ 1250 4750 2034 4750 \r\nz\r\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_2\">\r\n     <g id=\"line2d_2\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"68.111875\" xlink:href=\"#m5682810457\" y=\"227.589844\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_2\">\r\n      <!-- 20 -->\r\n      <g transform=\"translate(61.749375 242.188281)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 1228 531 \r\nL 3431 531 \r\nL 3431 0 \r\nL 469 0 \r\nL 469 531 \r\nQ 828 903 1448 1529 \r\nQ 2069 2156 2228 2338 \r\nQ 2531 2678 2651 2914 \r\nQ 2772 3150 2772 3378 \r\nQ 2772 3750 2511 3984 \r\nQ 2250 4219 1831 4219 \r\nQ 1534 4219 1204 4116 \r\nQ 875 4013 500 3803 \r\nL 500 4441 \r\nQ 881 4594 1212 4672 \r\nQ 1544 4750 1819 4750 \r\nQ 2544 4750 2975 4387 \r\nQ 3406 4025 3406 3419 \r\nQ 3406 3131 3298 2873 \r\nQ 3191 2616 2906 2266 \r\nQ 2828 2175 2409 1742 \r\nQ 1991 1309 1228 531 \r\nz\r\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-32\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_3\">\r\n     <g id=\"line2d_3\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"102.086875\" xlink:href=\"#m5682810457\" y=\"227.589844\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_3\">\r\n      <!-- 40 -->\r\n      <g transform=\"translate(95.724375 242.188281)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 2419 4116 \r\nL 825 1625 \r\nL 2419 1625 \r\nL 2419 4116 \r\nz\r\nM 2253 4666 \r\nL 3047 4666 \r\nL 3047 1625 \r\nL 3713 1625 \r\nL 3713 1100 \r\nL 3047 1100 \r\nL 3047 0 \r\nL 2419 0 \r\nL 2419 1100 \r\nL 313 1100 \r\nL 313 1709 \r\nL 2253 4666 \r\nz\r\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-34\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_4\">\r\n     <g id=\"line2d_4\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"136.061875\" xlink:href=\"#m5682810457\" y=\"227.589844\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_4\">\r\n      <!-- 60 -->\r\n      <g transform=\"translate(129.699375 242.188281)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 2113 2584 \r\nQ 1688 2584 1439 2293 \r\nQ 1191 2003 1191 1497 \r\nQ 1191 994 1439 701 \r\nQ 1688 409 2113 409 \r\nQ 2538 409 2786 701 \r\nQ 3034 994 3034 1497 \r\nQ 3034 2003 2786 2293 \r\nQ 2538 2584 2113 2584 \r\nz\r\nM 3366 4563 \r\nL 3366 3988 \r\nQ 3128 4100 2886 4159 \r\nQ 2644 4219 2406 4219 \r\nQ 1781 4219 1451 3797 \r\nQ 1122 3375 1075 2522 \r\nQ 1259 2794 1537 2939 \r\nQ 1816 3084 2150 3084 \r\nQ 2853 3084 3261 2657 \r\nQ 3669 2231 3669 1497 \r\nQ 3669 778 3244 343 \r\nQ 2819 -91 2113 -91 \r\nQ 1303 -91 875 529 \r\nQ 447 1150 447 2328 \r\nQ 447 3434 972 4092 \r\nQ 1497 4750 2381 4750 \r\nQ 2619 4750 2861 4703 \r\nQ 3103 4656 3366 4563 \r\nz\r\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-36\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_5\">\r\n     <g id=\"line2d_5\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"170.036875\" xlink:href=\"#m5682810457\" y=\"227.589844\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_5\">\r\n      <!-- 80 -->\r\n      <g transform=\"translate(163.674375 242.188281)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 2034 2216 \r\nQ 1584 2216 1326 1975 \r\nQ 1069 1734 1069 1313 \r\nQ 1069 891 1326 650 \r\nQ 1584 409 2034 409 \r\nQ 2484 409 2743 651 \r\nQ 3003 894 3003 1313 \r\nQ 3003 1734 2745 1975 \r\nQ 2488 2216 2034 2216 \r\nz\r\nM 1403 2484 \r\nQ 997 2584 770 2862 \r\nQ 544 3141 544 3541 \r\nQ 544 4100 942 4425 \r\nQ 1341 4750 2034 4750 \r\nQ 2731 4750 3128 4425 \r\nQ 3525 4100 3525 3541 \r\nQ 3525 3141 3298 2862 \r\nQ 3072 2584 2669 2484 \r\nQ 3125 2378 3379 2068 \r\nQ 3634 1759 3634 1313 \r\nQ 3634 634 3220 271 \r\nQ 2806 -91 2034 -91 \r\nQ 1263 -91 848 271 \r\nQ 434 634 434 1313 \r\nQ 434 1759 690 2068 \r\nQ 947 2378 1403 2484 \r\nz\r\nM 1172 3481 \r\nQ 1172 3119 1398 2916 \r\nQ 1625 2713 2034 2713 \r\nQ 2441 2713 2670 2916 \r\nQ 2900 3119 2900 3481 \r\nQ 2900 3844 2670 4047 \r\nQ 2441 4250 2034 4250 \r\nQ 1625 4250 1398 4047 \r\nQ 1172 3844 1172 3481 \r\nz\r\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-38\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_6\">\r\n     <g id=\"line2d_6\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"204.011875\" xlink:href=\"#m5682810457\" y=\"227.589844\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_6\">\r\n      <!-- 100 -->\r\n      <g transform=\"translate(194.468125 242.188281)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 794 531 \r\nL 1825 531 \r\nL 1825 4091 \r\nL 703 3866 \r\nL 703 4441 \r\nL 1819 4666 \r\nL 2450 4666 \r\nL 2450 531 \r\nL 3481 531 \r\nL 3481 0 \r\nL 794 0 \r\nL 794 531 \r\nz\r\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-31\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_7\">\r\n     <g id=\"line2d_7\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"237.986875\" xlink:href=\"#m5682810457\" y=\"227.589844\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_7\">\r\n      <!-- 120 -->\r\n      <g transform=\"translate(228.443125 242.188281)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-31\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\r\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"matplotlib.axis_2\">\r\n    <g id=\"ytick_1\">\r\n     <g id=\"line2d_8\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL -3.5 0 \r\n\" id=\"mc81a9bd4fd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"33.2875\" xlink:href=\"#mc81a9bd4fd\" y=\"10.999219\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_8\">\r\n      <!-- 0 -->\r\n      <g transform=\"translate(19.925 14.798438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_2\">\r\n     <g id=\"line2d_9\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"33.2875\" xlink:href=\"#mc81a9bd4fd\" y=\"44.974219\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_9\">\r\n      <!-- 20 -->\r\n      <g transform=\"translate(13.5625 48.773438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-32\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_3\">\r\n     <g id=\"line2d_10\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"33.2875\" xlink:href=\"#mc81a9bd4fd\" y=\"78.949219\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_10\">\r\n      <!-- 40 -->\r\n      <g transform=\"translate(13.5625 82.748437)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-34\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_4\">\r\n     <g id=\"line2d_11\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"33.2875\" xlink:href=\"#mc81a9bd4fd\" y=\"112.924219\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_11\">\r\n      <!-- 60 -->\r\n      <g transform=\"translate(13.5625 116.723438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-36\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_5\">\r\n     <g id=\"line2d_12\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"33.2875\" xlink:href=\"#mc81a9bd4fd\" y=\"146.899219\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_12\">\r\n      <!-- 80 -->\r\n      <g transform=\"translate(13.5625 150.698438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-38\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_6\">\r\n     <g id=\"line2d_13\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"33.2875\" xlink:href=\"#mc81a9bd4fd\" y=\"180.874219\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_13\">\r\n      <!-- 100 -->\r\n      <g transform=\"translate(7.2 184.673438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-31\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_7\">\r\n     <g id=\"line2d_14\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"33.2875\" xlink:href=\"#mc81a9bd4fd\" y=\"214.849219\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_14\">\r\n      <!-- 120 -->\r\n      <g transform=\"translate(7.2 218.648438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-31\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\r\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"patch_3\">\r\n    <path d=\"M 33.2875 227.589844 \r\nL 33.2875 10.149844 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_4\">\r\n    <path d=\"M 250.7275 227.589844 \r\nL 250.7275 10.149844 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_5\">\r\n    <path d=\"M 33.2875 227.589844 \r\nL 250.7275 227.589844 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_6\">\r\n    <path d=\"M 33.2875 10.149844 \r\nL 250.7275 10.149844 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n  </g>\r\n </g>\r\n <defs>\r\n  <clipPath id=\"p73f6ce242e\">\r\n   <rect height=\"217.44\" width=\"217.44\" x=\"33.2875\" y=\"10.149844\"/>\r\n  </clipPath>\r\n </defs>\r\n</svg>\r\n",
      "image/png": "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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "train_data.shape"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(1600, 128, 128)"
      ]
     },
     "metadata": {},
     "execution_count": 5
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "with open('Data/train_data_aug.pickle', \"wb\") as file:\r\n",
    "    pickle.dump(train_data, file)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "path = 'RawImage/RawImage/TestData/'\r\n",
    "test_data = np.zeros(shape=(len(os.listdir(path)), d, d))\r\n",
    "j = 0\r\n",
    "for i in os.listdir(path):\r\n",
    "    x = skimage.io.imread(path+i, as_gray=True)\r\n",
    "    x = skimage.transform.resize(x, (d, d))\r\n",
    "    test_data[j, :, :] = x\r\n",
    "    j += 1"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "test_data.shape"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "with open('Data/test_data.pickle', \"wb\") as file:\r\n",
    "    pickle.dump(test_data, file)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
 ],
 "metadata": {
  "orig_nbformat": 4,
  "language_info": {
   "name": "python",
   "version": "3.8.0",
   "mimetype": "text/x-python",
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "pygments_lexer": "ipython3",
   "nbconvert_exporter": "python",
   "file_extension": ".py"
  },
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.8.0 64-bit ('tf2.4': conda)"
  },
  "interpreter": {
   "hash": "8edf8cbb509fdf3d46e061f30af3d9278aa0b7efb734bc4d8f02fc9816eea4c1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}