Train_ECG.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing the required libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.preprocessing import StandardScaler # to noramlize the data otherwise preprocessing will take time\n",
    "import biosppy # it contains the function to calculate the RPeaks which is very much required\n",
    "import warnings\n",
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "warnings.filterwarnings('ignore') # to suppress the warnings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Augmentation \n",
    "## Since the data was highly imbalaced because we have majority of normal heart beat and minority of affected or non normal heart beat so it we don't do data augmentation, the model will be biased"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cropping(image, filename,ytrain,g):\n",
    "    \n",
    "    #Left Top Crop\n",
    "    crop = image[:46, :46]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'leftTop' + '.png', crop)\n",
    "    ytrain.append(g)\n",
    "    \n",
    "    #Center Top Crop\n",
    "    crop = image[:46, 16:50]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'centerTop' + '.png', crop)\n",
    "    ytrain.append(g)\n",
    "    \n",
    "    #Right Top Crop\n",
    "    crop = image[:46, 32:]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'rightTop' + '.png', crop)\n",
    "    ytrain.append(g)\n",
    "    \n",
    "    #Left Center Crop\n",
    "    crop = image[16:50, :50]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'leftCenter' + '.png', crop)\n",
    "    ytrain.append(g)\n",
    "    \n",
    "    #Center Center Crop\n",
    "    crop = image[16:50, 16:50]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'centerCenter' + '.png', crop)\n",
    "    ytrain.append(g)\n",
    "    \n",
    "    #Right Center Crop\n",
    "    crop = image[16:50, 32:]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'rightCenter' + '.png', crop)\n",
    "    ytrain.append(g)\n",
    "    \n",
    "    #Left Bottom Crop\n",
    "    crop = image[32:, :50]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'leftBottom' + '.png', crop)\n",
    "    ytrain.append(g)\n",
    "    \n",
    "    #Center Bottom Crop\n",
    "    crop = image[32:, 16:50]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'centerBottom' + '.png', crop)\n",
    "    ytrain.append(g)\n",
    "    \n",
    "    #Right Bottom Crop\n",
    "    crop = image[32:, 32:]\n",
    "    crop = cv2.resize(crop, (64, 64))\n",
    "    cv2.imwrite(filename[:-4] + 'rightBottom' + '.png', crop)\n",
    "    ytrain.append(g)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## This is the main block where the following steps are done-->\n",
    "### 1-Reading of the csv file of the patient \n",
    "### 2-Now since the dataset was highly imbalanced, so i had to check how many minimum csv files should i concatenate so that imbalancy is minimized  and value that i got is 20(from r0 to r20)\n",
    "### After concatenating those 20 files into a single csv, use Standard Scaler to normalize the data otherwise training will take time\n",
    "### Normally i could have put this data in a machine learning model to train but let's do something different. i converted these 1D data to a 2D data(image)\n",
    "### To do the above thing, i used biosppy.signals.ecg.christov_segmenter() which helps in finding the RPeaks which helped in plotting the image\n",
    "### Once image is found i did data augmentation (to minimize imbalancy)  and saved those images to be used in the CNN model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAC5dJREFUeJzt3WGo3fV9x/H3Z6bbg7WgkquTGLhlhFI3Vlsu4vCJm2OLdix24NAHbeiE7EEKLfTB0vVB96TgGOugbHNkKKbg7IRWDJitdaEgg9n2WsRpU9fQOb1LMLdztILQEfvdg/zD7tzNPSf3nHPPvd+8X3A55/zu79zzzSG+c/znnH9SVUiS+vqZeQ8gSZotQy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqbld8x4AYPfu3bW4uDjvMSRpR3nuued+WFULo/Zti9AvLi6yvLw87zEkaUdJ8u/j7PPQjSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDW3LT4ZK0lbYfHIU1v6eK888OEtfbxL8RW9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNecnY6UNbPUnKWH7fJpSfRh6Sf6B1pyHbiSpOUMvSc0ZeklqzmP00jYzj+Pl83Cl/Dq3A1/RS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnMjQ59kb5JvJDmV5KUknxzWr03ydJLvD5fXDOtJ8sUkp5O8kORDs/5FSJIubZxX9OeBT1fV+4FbgcNJbgKOACerah9wcrgNcCewb/g6BDw49aklSWMbGfqqOltV3xmuvwmcAvYAB4Bjw7ZjwN3D9QPAl+qCZ4Grk9ww9cklSWO5rGP0SRaBDwLfBK6vqrNw4Q8D4Lph2x7gtTV3WxnWJElzMHbok7wb+Arwqar68UZb11mrdX7eoSTLSZZXV1fHHUOSdJnGCn2Sd3Eh8o9W1VeH5dcvHpIZLs8N6yvA3jV3vxE4886fWVVHq2qpqpYWFhY2O78kaYRx3nUT4CHgVFV9Yc23jgMHh+sHgSfXrH9sePfNrcCPLh7ikSRtvXH+4ZHbgI8C/5Lk+WHtj4AHgMeT3A+8CtwzfO8EcBdwGngL+PhUJ5YkXZaRoa+qf2L94+4Ad6yzv4DDE84lSZoSPxkrSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4ZekpobGfokDyc5l+TFNWt/nOQ/kjw/fN215nufSXI6yctJfmtWg0uSxjPOK/pHgP3rrP95Vd08fJ0ASHITcC/wS8N9/irJVdMaVpJ0+UaGvqqeAd4Y8+cdAL5cVT+pqn8DTgO3TDCfJGlCkxyj/0SSF4ZDO9cMa3uA19bsWRnW/p8kh5IsJ1leXV2dYAxJ0kY2G/oHgV8EbgbOAn82rGedvbXeD6iqo1W1VFVLCwsLmxxDkjTKpkJfVa9X1dtV9VPgb/jfwzMrwN41W28Ezkw2oiRpEpsKfZIb1tz8CHDxHTnHgXuT/FyS9wL7gG9NNqIkaRK7Rm1I8hhwO7A7yQrwOeD2JDdz4bDMK8AfAFTVS0keB74LnAcOV9XbsxldkjSOkaGvqvvWWX5og/2fBz4/yVCSpOnxk7GS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1NzL0SR5Oci7Ji2vWrk3ydJLvD5fXDOtJ8sUkp5O8kORDsxxekjTaOK/oHwH2v2PtCHCyqvYBJ4fbAHcC+4avQ8CD0xlTkrRZI0NfVc8Ab7xj+QBwbLh+DLh7zfqX6oJngauT3DCtYSVJl2+zx+ivr6qzAMPldcP6HuC1NftWhjVJ0pxM+y9js85arbsxOZRkOcny6urqlMeQJF202dC/fvGQzHB5blhfAfau2XcjcGa9H1BVR6tqqaqWFhYWNjmGJGmUzYb+OHBwuH4QeHLN+seGd9/cCvzo4iEeSdJ87Bq1IcljwO3A7iQrwOeAB4DHk9wPvArcM2w/AdwFnAbeAj4+g5klSZdhZOir6r5LfOuOdfYWcHjSoSRJ0+MnYyWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4ZekpobefbKnWzxyFNb/pivPPDhLX9MSdqIr+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLU3K5J7pzkFeBN4G3gfFUtJbkW+DtgEXgF+L2q+q/JxpQkbdY0XtH/WlXdXFVLw+0jwMmq2gecHG5LkuZkFoduDgDHhuvHgLtn8BiSpDFNGvoCvp7kuSSHhrXrq+oswHB53Xp3THIoyXKS5dXV1QnHkCRdykTH6IHbqupMkuuAp5N8b9w7VtVR4CjA0tJSTTiHJOkSJnpFX1VnhstzwBPALcDrSW4AGC7PTTqkJGnzNh36JD+f5D0XrwO/CbwIHAcODtsOAk9OOqQkafMmOXRzPfBEkos/52+r6h+SfBt4PMn9wKvAPZOPKUnarE2Hvqp+AHxgnfX/BO6YZChJ0vT4yVhJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqbld8x5AGtfikafmPYK0I/mKXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOZmFvok+5O8nOR0kiOzehxJ0sZmEvokVwF/CdwJ3ATcl+SmWTyWJGljs3pFfwtwuqp+UFX/DXwZODCjx5IkbWBWod8DvLbm9sqwJknaYrM6H33WWav/syE5BBwabv4kyYszmmVL5U/mPQEAu4EfznuIRnw+p+eKei63oAfvG2fTrEK/Auxdc/tG4MzaDVV1FDgKkGS5qpZmNMsVx+dzunw+p8fncrqSLI+zb1aHbr4N7Evy3iQ/C9wLHJ/RY0mSNjCTV/RVdT7JJ4CvAVcBD1fVS7N4LEnSxmb2b8ZW1QngxJjbj85qjiuUz+d0+XxOj8/ldI31fKaqRu+SJO1YngJBkprbNqFP8qdJvpfkhSRPJLl63jPtZEnuSfJSkp8m8V0Om+BpPKYnycNJznV5G/W8Jdmb5BtJTg3/nX9yo/3bJvTA08AvV9WvAP8KfGbO8+x0LwK/Czwz70F2Ik/jMXWPAPvnPUQj54FPV9X7gVuBwxv9/tw2oa+qr1fV+eHms1x47702qapOVdXL855jB/M0HlNUVc8Ab8x7ji6q6mxVfWe4/iZwig3OPrBtQv8Ovw/8/byH0BXN03hoR0iyCHwQ+Oal9szs7ZXrSfKPwC+s863PVtWTw57PcuF/Sx7dytl2onGeT23ayNN4SPOW5N3AV4BPVdWPL7VvS0NfVb+x0feTHAR+G7ijfN/nSKOeT01k5Gk8pHlK8i4uRP7RqvrqRnu3zaGbJPuBPwR+p6remvc8uuJ5Gg9tW0kCPAScqqovjNq/bUIP/AXwHuDpJM8n+et5D7STJflIkhXgV4Gnknxt3jPtJMMbAy6exuMU8Lin8di8JI8B/wy8L8lKkvvnPdMOdxvwUeDXh14+n+SuS232k7GS1Nx2ekUvSZoBQy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ19z+Jln2H5NIT4gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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UCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNeJ/AWTHeI8PszRaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAD8CAYAAABXe05zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAACZBJREFUeJzt3FGIpfdZx/Hf425EsYFeZKjSBMYLCZaiRoagBARjkW0tFQWhBYtgYW9aSKFQt/TKSxGKFwqy2FDB2FJog9K0thEbQqGNzsZYEreVUiqGFnZCkaYIlbSPF5lA3M7seXf3vDN9dj8fGHbOzH/OeXjZ/fLuO//zVncHgDl+7LQHAOD6CDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDnF3jSe+6667e3d1d46kBbkmXLl16obt3lqxdJdy7u7vZ399f46kBbklV9Z9L17pUAjCMcAMMI9wAwwg3wDDCDTDMol0lVfWNJC8m+X6Sl7p7b82hADje9WwH/PXufmG1SQBYxKUSgGGWhruTfK6qLlXV+TUHAuDalob7ge7+5SRvTvLuqvq1qxdU1fmq2q+q/YODg60OeSvZvfDYaY8ADLco3N39zcM/ryR5NMn9R6y52N173b23s7Po7fYA3ICN4a6qn6qqO1/5PMlvJnl27cEAONqSXSWvS/JoVb2y/m+7+x9WnQqAY20Md3d/PckvnsAsACxgOyDAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDLA53VZ2pqn+tqk+tORAA13Y9Z9wPJbm81iAALLMo3FV1d5LfSvJX644DwCZLz7j/LMn7k/xgxVkAWGBjuKvqrUmudPelDevOV9V+Ve0fHBxsbcBbxe6Fx7J74bH/9xjgRiw5434gyduq6htJPpbkwar6m6sXdffF7t7r7r2dnZ0tjwnAKzaGu7s/0N13d/dukrcn+afu/v3VJwPgSPZxAwxz9noWd/cTSZ5YZRIAFnHGDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTDMxnBX1U9U1T9X1b9V1XNV9ccnMRgARzu7YM33kjzY3d+tqjuSfKGqPtPdX1p5NgCOsDHc3d1Jvnv48I7Dj15zKACOt+gad1WdqapnklxJ8nh3P7XuWAAcZ1G4u/v73f1LSe5Ocn9VvfHqNVV1vqr2q2r/4OBg23PeUnYvPHbaIwCDXdeuku7+7yRPJDl3xPcudvded+/t7OxsaTwArrZkV8lOVb328POfTPKmJF9ZezAAjrZkV8nPJPnrqjqTl0P/8e7+1LpjAXCcJbtKvpzkvhOYBYAFvHMSYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYTaGu6ruqarPV9Xlqnquqh46icEAONrZBWteSvK+7n66qu5McqmqHu/uf195NgCOsPGMu7u/1d1PH37+YpLLSV6/9mAAHO26rnFX1W6S+5I8tcYwAGy2ONxV9Zokn0jy3u7+zhHfP19V+1W1f3BwsM0ZAXiVReGuqjvycrQf6e5PHrWmuy9291537+3s7GxzRgBeZcmukkry4SSXu/tD648EwLUsOeN+IMk7kzxYVc8cfrxl5bkAOMbG7YDd/YUkdQKzALCAd04CDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDLMx3FX1cFVdqapnT2IgAK5tyRn3R5KcW3kOABbaGO7ufjLJt09gFgAW2No17qo6X1X7VbV/cHCwracF4CpbC3d3X+zuve7e29nZ2dbTAnAVu0oAhhFugGGWbAf8aJIvJrm3qp6vqnetPxYAxzm7aUF3v+MkBgFgGZdKAIYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGGZRuKvqXFV9taq+VlUX1h4KgONtDHdVnUnyF0nenOQNSd5RVW9YezAAjrbkjPv+JF/r7q939/8m+ViS3153LACOsyTcr0/yX696/Pzh1wA4BWcXrKkjvtY/tKjqfJLzhw+/V1XP3sxgt4P6k0XL7krywrqT3FYcz+1yPLfn3qULl4T7+ST3vOrx3Um+efWi7r6Y5GKSVNV+d+8tHYLjOZbb5Xhul+O5PVW1v3Ttkksl/5Lk56rqZ6vqx5O8Pcnf3+hwANycjWfc3f1SVb0nyWeTnEnycHc/t/pkABxpyaWSdPenk3z6Op734o2NwxEcy+1yPLfL8dyexceyun/o94wA/AjzlneAYVYJd1X9aVV9paq+XFWPVtVr13id20VV/V5VPVdVP6gqv8G/AW7bsF1V9XBVXbHt9+ZV1T1V9fmqunz47/yhTT+z1hn340ne2N2/kOQ/knxgpde5XTyb5HeTPHnag0zktg2r+EiSc6c9xC3ipSTv6+6fT/IrSd696e/nKuHu7s9190uHD7+Ul/d+c4O6+3J3f/W05xjMbRu2rLufTPLt057jVtDd3+rupw8/fzHJ5Wx4d/pJXOP+wySfOYHXgeO4bQMjVNVukvuSPHWtdYu2Ax7zAv+Y5KeP+NYHu/vvDtd8MC//N+CRG32d28WS48kNW3TbBjhNVfWaJJ9I8t7u/s611t5wuLv7TRuG+IMkb03yG23P4Uabjic3ZdFtG+C0VNUdeTnaj3T3JzetX2tXybkkf5Tkbd39P2u8BlwHt23gR1ZVVZIPJ7nc3R9a8jNrXeP+8yR3Jnm8qp6pqr9c6XVuC1X1O1X1fJJfTfJYVX32tGea5PAX5a/ctuFyko+7bcPNqaqPJvliknur6vmqetdpzzTYA0nemeTBw14+U1VvudYPeOckwDDeOQkwjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Aw/weEu/KXu0as6gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADOhJREFUeJzt3X+o3fV9x/Hna8b1jymo5GpdjFwpWZkdWxwX5/AfN8eqdix2YNE/bNoJ6R8KFfyjsf2j/UdwbLV0bHOkKEZw2oCKAbO1qRSkMG1vJNjY1C20md4mmNtZqiA4ou/9cb+hp/bmnnPPj5x7P3k+4HLO+dzPueedg3ne49fvOaaqkCS167emPYAkabIMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuM2THsAgI0bN9bs7Oy0x5CkdeXAgQM/r6qZfvvWROhnZ2eZn5+f9hiStK4k+Z9B9nnoRpIa1zf0STYn+W6Sw0leSfL5bv0rSX6W5GD3dVPPfe5NciTJq0k+Psk/gCRpZYMcujkJ3FNVLyU5HziQZH/3va9V1T/0bk5yJXAr8DHgd4HvJPm9qnpvnINLkgbT9xV9VR2vqpe6628Dh4FNK9xlG/BEVb1bVT8FjgBXj2NYSdLqreoYfZJZ4CrgxW7priQvJ3k4yYXd2ibg9Z67LbDML4YkO5LMJ5lfXFxc9eCSpMEMHPok5wFPAndX1VvAg8BHgK3AceCrp7Yuc/ff+L+bVNWuqpqrqrmZmb5nB0mShjRQ6JOcy1LkH6uqpwCq6o2qeq+q3ge+wa8OzywAm3vufhlwbHwjS5JWY5CzbgI8BByuqgd61i/t2fZJ4FB3fS9wa5IPJbkC2AJ8f3wjS5JWY5Czbq4Fbgd+mORgt/ZF4LYkW1k6LHMU+BxAVb2SZA/wI5bO2LnTM24kaXr6hr6qvsfyx933rXCf+4D7RphLqzC789kz/phH7//EGX9MScNZEx+BMCnTCODZwl8u0vrhRyBIUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1ztBLUuMMvSQ1bsO0B5D062Z3PnvGH/Po/Z8444+pM8dX9JLUOEMvSY0z9JLUOEMvSY0z9JLUOEMvSY0z9JLUuL7n0SfZDDwKfBh4H9hVVV9PchHwTWAWOAp8qqp+kSTA14GbgHeAz1TVS5MZX5qsaZzTPg1ny5/zbH2/wCBvmDoJ3FNVLyU5HziQZD/wGeC5qro/yU5gJ/AF4EZgS/f1J8CD3aUkTdWZ/oW2Vn6x9D10U1XHT70ir6q3gcPAJmAbsLvbthu4ubu+DXi0lrwAXJDk0rFPLkkayKqO0SeZBa4CXgQuqarjsPTLALi427YJeL3nbgvdmiRpCgYOfZLzgCeBu6vqrZW2LrNWy/y8HUnmk8wvLi4OOoYkaZUGCn2Sc1mK/GNV9VS3/MapQzLd5YlufQHY3HP3y4BjH/yZVbWrquaqam5mZmbY+SVJffQNfXcWzUPA4ap6oOdbe4Ht3fXtwDM965/OkmuAX546xCNJOvMGOevmWuB24IdJDnZrXwTuB/YkuQN4Dbil+94+lk6tPMLS6ZWfHevEkqRV6Rv6qvoeyx93B7h+mf0F3DniXJKkMfGdsZLUOEMvSY0z9JLUOEMvSY0z9JLUOEMvSY0z9JLUuEHeMCWtCWfLZ6ZL4+YreklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqnKGXpMYZeklqXN/QJ3k4yYkkh3rWvpLkZ0kOdl839Xzv3iRHkrya5OOTGlySNJhBXtE/AtywzPrXqmpr97UPIMmVwK3Ax7r7/EuSc8Y1rCRp9fqGvqqeB94c8OdtA56oqner6qfAEeDqEeaTJI1olGP0dyV5uTu0c2G3tgl4vWfPQrcmSZqSYUP/IPARYCtwHPhqt55l9tZyPyDJjiTzSeYXFxeHHEOS1M9Qoa+qN6rqvap6H/gGvzo8swBs7tl6GXDsND9jV1XNVdXczMzMMGNIkgYwVOiTXNpz85PAqTNy9gK3JvlQkiuALcD3RxtRkjSKDf02JHkcuA7YmGQB+DJwXZKtLB2WOQp8DqCqXkmyB/gRcBK4s6rem8zokqRB9A19Vd22zPJDK+y/D7hvlKEkSePjO2MlqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIaZ+glqXGGXpIa1zf0SR5OciLJoZ61i5LsT/Lf3eWF3XqS/GOSI0leTvLHkxxektTfIK/oHwFu+MDaTuC5qtoCPNfdBrgR2NJ97QAeHM+YkqRh9Q19VT0PvPmB5W3A7u76buDmnvVHa8kLwAVJLh3XsJKk1Rv2GP0lVXUcoLu8uFvfBLzes2+hW/sNSXYkmU8yv7i4OOQYkqR+xv0fY7PMWi23sap2VdVcVc3NzMyMeQxJ0inDhv6NU4dkussT3foCsLln32XAseHHkySNatjQ7wW2d9e3A8/0rH+6O/vmGuCXpw7xSJKmY0O/DUkeB64DNiZZAL4M3A/sSXIH8BpwS7d9H3ATcAR4B/jsBGaWJK1C39BX1W2n+db1y+wt4M5Rh5IkjY/vjJWkxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxhl6SWqcoZekxm0Y5c5JjgJvA+8BJ6tqLslFwDeBWeAo8Kmq+sVoY0qShjWOV/R/VlVbq2quu70TeK6qtgDPdbclSVMyiUM324Dd3fXdwM0TeAxJ0oBGDX0B305yIMmObu2SqjoO0F1ePOJjSJJGMNIxeuDaqjqW5GJgf5IfD3rH7hfDDoDLL798xDEkSacz0iv6qjrWXZ4AngauBt5IcilAd3niNPfdVVVzVTU3MzMzyhiSpBUMHfokv5Pk/FPXgb8EDgF7ge3dtu3AM6MOKUka3iiHbi4Bnk5y6uf8W1X9R5IfAHuS3AG8Btwy+piSpGENHfqq+gnwR8us/y9w/ShDSZLGx3fGSlLjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjDL0kNc7QS1LjJhb6JDckeTXJkSQ7J/U4kqSVTST0Sc4B/hm4EbgSuC3JlZN4LEnSyib1iv5q4EhV/aSq/g94Atg2oceSJK1gUqHfBLzec3uhW5MknWEbJvRzs8xa/dqGZAewo7v5bpJDE5rlbLQR+Pm0h2iIz+f4nFXPZf5u4g/x0UE2TSr0C8DmntuXAcd6N1TVLmAXQJL5qpqb0CxnHZ/P8fL5HB+fy/FKMj/IvkkduvkBsCXJFUl+G7gV2Duhx5IkrWAir+ir6mSSu4BvAecAD1fVK5N4LEnSyiZ16Iaq2gfsG3D7rknNcZby+Rwvn8/x8bkcr4Gez1RV/12SpHXLj0CQpMatmdAn+fskP07ycpKnk1ww7ZnWsyS3JHklyftJPMthCH6Mx/gkeTjJCU+jHo8km5N8N8nh7u/551fav2ZCD+wH/qCq/hD4L+DeKc+z3h0C/gZ4ftqDrEd+jMfYPQLcMO0hGnISuKeqfh+4BrhzpX8+10zoq+rbVXWyu/kCS+fea0hVdbiqXp32HOuYH+MxRlX1PPDmtOdoRVUdr6qXuutvA4dZ4dMH1kzoP+BvgX+f9hA6q/kxHloXkswCVwEvnm7PxE6vXE6S7wAfXuZbX6qqZ7o9X2LpX0seO5OzrUeDPJ8aWt+P8ZCmLcl5wJPA3VX11un2ndHQV9VfrPT9JNuBvwKuL8/77Kvf86mR9P0YD2makpzLUuQfq6qnVtq7Zg7dJLkB+ALw11X1zrTn0VnPj/HQmpUkwEPA4ap6oN/+NRN64J+A84H9SQ4m+ddpD7SeJflkkgXgT4Fnk3xr2jOtJ92JAac+xuMwsMeP8RhekseB/wQ+mmQhyR3Tnmmduxa4HfjzrpcHk9x0us2+M1aSGreWXtFLkibA0EtS4wy9JDXO0EtS4wy9JDXO0EtS4wy9JDXO0EtS4/4faSkOGImiJDoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAEKlJREFUeJzt3X+MZWV9x/H3p4hoqhGQkeLumiG6WtHUxUwpDf9YMBXBuNhIg2l0YzdZm2CC0bQu+oealARTFWNsaNZCXRsrEn+EjWB1BYwxqeCA6wquli1uZdwNO5YfYog0i9/+Mc/G6TI7c2fu3JndZ9+vZHLPec5zzvneG/Yzh2eee06qCklSv35vtQuQJI2WQS9JnTPoJalzBr0kdc6gl6TOGfSS1DmDXpI6Z9BLUucMeknq3LNWuwCAM844o8bHx1e7DEk6rtxzzz2/rKqxhfodE0E/Pj7O5OTkapchSceVJP89SD+HbiSpcwa9JHXOoJekzhn0ktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXPHxDdjpWPV+NZbV/yc+669dMXPqb55RS9JnTPoJalzBr0kdc6gl6TODRz0SU5K8oMkX2vrZye5K8kDSb6Y5Nmt/ZS2vrdtHx9N6ZKkQSzmiv4qYM+s9Y8C11XVeuBRYHNr3ww8WlUvA65r/SRJq2SgoE+yFrgU+Oe2HuBC4Euty3bgsra8sa3Ttl/U+kuSVsGgV/SfBP4O+G1bfyHwWFUdautTwJq2vAZ4CKBtf7z1lyStggWDPsmbgINVdc/s5jm61gDbZh93S5LJJJPT09MDFStJWrxBrugvAN6cZB9wEzNDNp8ETk1y+Ju1a4H9bXkKWAfQtr8AeOTIg1bVtqqaqKqJsbEFn20rSVqiBYO+qq6uqrVVNQ5cAdxRVX8F3Am8tXXbBNzSlne0ddr2O6rqGVf0kqSVMcw8+vcD702yl5kx+Bta+w3AC1v7e4Gtw5UoSRrGom5qVlXfBr7dlh8Ezpujz2+Ay5ehNknSMvCbsZLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzBr0kdc6gl6TOGfSS1DmDXpI6Z9BLUucMeknqnEEvSZ0z6CWpcwa9JHVuUfejlzR641tvXfFz7rv20hU/p1bOIA8Hf06Su5P8MMn9ST7S2j+b5GdJdrWfDa09ST6VZG+S3UleO+o3IUk6ukGu6J8CLqyqXyc5Gfhukq+3bX9bVV86ov8bgfXt50+A69urJGkVDPJw8KqqX7fVk9vPfA/73gh8ru33PeDUJGcNX6okaSkG+mNskpOS7AIOAjur6q626Zo2PHNdklNa2xrgoVm7T7W2I4+5Jclkksnp6ekh3oIkaT4DBX1VPV1VG4C1wHlJXg1cDfwh8MfA6cD7W/fMdYg5jrmtqiaqamJsbGxJxUuSFrao6ZVV9RjwbeDiqjrQhmeeAv4FOK91mwLWzdptLbB/GWqVJC3BILNuxpKc2pafC7we+MnhcfckAS4D7mu77ADe0WbfnA88XlUHRlK9JGlBg8y6OQvYnuQkZn4x3FxVX0tyR5IxZoZqdgF/0/rfBlwC7AWeBN65/GVLkga1YNBX1W7g3DnaLzxK/wKuHL40SdJy8BYIktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXMGvSR1zqCXpM75hCkdN1bjyUtSD7yil6TOGfSS1DmDXpI6Z9BLUucMeknqnEEvSZ0z6CWpc4M8SvA5Se5O8sMk9yf5SGs/O8ldSR5I8sUkz27tp7T1vW37+GjfgiRpPoNc0T8FXFhVrwE2ABe3Z8F+FLiuqtYDjwKbW//NwKNV9TLgutZPkrRKFgz6mvHrtnpy+yngQuBLrX07Mw8IB9jY1mnbL2oPEJckrYKBxuiTnJRkF3AQ2An8F/BYVR1qXaaANW15DfAQQNv+OPDCOY65Jclkksnp6enh3oUk6agGCvqqerqqNgBrgfOAV87Vrb3OdfVez2io2lZVE1U1MTY2Nmi9kqRFWtSsm6p6DPg2cD5wapLDN0VbC+xvy1PAOoC2/QXAI8tRrCRp8QaZdTOW5NS2/Fzg9cAe4E7gra3bJuCWtryjrdO231FVz7iilyStjEFuU3wWsD3JScz8Yri5qr6W5MfATUn+HvgBcEPrfwPwr0n2MnMlf8UI6pYkDWjBoK+q3cC5c7Q/yMx4/ZHtvwEuX5bqJElD85uxktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXMGvSR1zqCXpM4Z9JLUOYNekjo3yL1uJHVufOutK37OfddeuuLnPFF5RS9JnTPoJalzDt1IWhUrPVx0Ig8VGfSSTggn8t8hBnnC1LokdybZk+T+JFe19g8n+UWSXe3nkln7XJ1kb5KfJnnDKN+AJGl+g1zRHwLeV1X3Jnk+cE+SnW3bdVX1sdmdk5zDzFOlXgW8GPhWkpdX1dPLWbgkaTALXtFX1YGqurctP8HM82LXzLPLRuCmqnqqqn4G7GWOJ1FJklbGombdJBln5rGCd7WmdyfZneTGJKe1tjXAQ7N2m2L+XwySpBEaOOiTPA/4MvCeqvoVcD3wUmADcAD4+OGuc+xecxxvS5LJJJPT09OLLlySNJiBgj7JycyE/Oer6isAVfVwVT1dVb8FPsPvhmemgHWzdl8L7D/ymFW1raomqmpibGxsmPcgSZrHILNuAtwA7KmqT8xqP2tWt7cA97XlHcAVSU5JcjawHrh7+UqWJC3GILNuLgDeDvwoya7W9gHgbUk2MDMssw94F0BV3Z/kZuDHzMzYudIZN5K0ehYM+qr6LnOPu982zz7XANcMUZckaZl4rxtJ6pxBL0mdM+glqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzBr0kdc6gl6TOGfSS1DmDXpI6Z9BLUucGeZTguiR3JtmT5P4kV7X205PsTPJAez2ttSfJp5LsTbI7yWtH/SYkSUc3yBX9IeB9VfVK4HzgyiTnAFuB26tqPXB7Wwd4IzPPiV0PbAGuX/aqJUkDWzDoq+pAVd3blp8A9gBrgI3A9tZtO3BZW94IfK5mfA849YgHiUuSVtCixuiTjAPnAncBZ1bVAZj5ZQC8qHVbAzw0a7ep1iZJWgUDB32S5wFfBt5TVb+ar+scbTXH8bYkmUwyOT09PWgZkqRFGijok5zMTMh/vqq+0pofPjwk014PtvYpYN2s3dcC+488ZlVtq6qJqpoYGxtbav2SpAUMMusmwA3Anqr6xKxNO4BNbXkTcMus9ne02TfnA48fHuKRJK28Zw3Q5wLg7cCPkuxqbR8ArgVuTrIZ+Dlwedt2G3AJsBd4EnjnslYsSVqUBYO+qr7L3OPuABfN0b+AK4esS4swvvXW1S5B0jHMb8ZKUucMeknqnEEvSZ0z6CWpcwa9JHXOoJekzg0yj16L4FRHSccar+glqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzgzxK8MYkB5PcN6vtw0l+kWRX+7lk1rark+xN8tMkbxhV4ZKkwQxyC4TPAp8GPndE+3VV9bHZDUnOAa4AXgW8GPhWkpdX1dPLUOuieTsCSRrgir6qvgM8MuDxNgI3VdVTVfUzZp4be94Q9UmShjTMGP27k+xuQzuntbY1wEOz+ky1tmdIsiXJZJLJ6enpIcqQJM1nqUF/PfBSYANwAPh4a5/rIeI11wGqaltVTVTVxNjY2BLLkCQtZElBX1UPV9XTVfVb4DP8bnhmClg3q+taYP9wJUqShrGkoE9y1qzVtwCHZ+TsAK5IckqSs4H1wN3DlShJGsaCs26SfAF4HXBGkingQ8DrkmxgZlhmH/AugKq6P8nNwI+BQ8CVqzXjRpI0Y8Ggr6q3zdF8wzz9rwGuGaYoSdLy8ZuxktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzBr0kdc6gl6TOLRj0SW5McjDJfbPaTk+yM8kD7fW01p4kn0qyN8nuJK8dZfGSpIUNckX/WeDiI9q2ArdX1Xrg9rYO8EZmnhO7HtgCXL88ZUqSlmrBoK+q7wCPHNG8EdjelrcDl81q/1zN+B5w6hEPEpckrbCljtGfWVUHANrri1r7GuChWf2mWtszJNmSZDLJ5PT09BLLkCQtZLn/GJs52mqujlW1raomqmpibGxsmcuQJB221KB/+PCQTHs92NqngHWz+q0F9i+9PEnSsJYa9DuATW15E3DLrPZ3tNk35wOPHx7ikSStjmct1CHJF4DXAWckmQI+BFwL3JxkM/Bz4PLW/TbgEmAv8CTwzhHULElahAWDvqredpRNF83Rt4Arhy1KkrR8/GasJHXOoJekzhn0ktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnVvwfvTzSbIPeAJ4GjhUVRNJTge+CIwD+4C/rKpHhytTkrRUy3FF/2dVtaGqJtr6VuD2qloP3N7WJUmrZBRDNxuB7W15O3DZCM4hSRrQsEFfwDeT3JNkS2s78/ADwdvri4Y8hyRpCEON0QMXVNX+JC8Cdib5yaA7tl8MWwBe8pKXDFmGJOlohrqir6r97fUg8FXgPODhJGcBtNeDR9l3W1VNVNXE2NjYMGVIkuax5KBP8vtJnn94Gfhz4D5gB7CpddsE3DJskZKkpRtm6OZM4KtJDh/n36rq35N8H7g5yWbg58Dlw5cpSVqqJQd9VT0IvGaO9v8BLhqmKEnS8vGbsZLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzBr0kdc6gl6TOGfSS1DmDXpI6Z9BLUucMeknqnEEvSZ0z6CWpcwa9JHXOoJekzo0s6JNcnOSnSfYm2Tqq80iS5jeSoE9yEvCPwBuBc4C3JTlnFOeSJM1vVFf05wF7q+rBqvpf4CZg44jOJUmax6iCfg3w0Kz1qdYmSVphS344+AIyR1v9vw7JFmBLW30qyX0jquVEdAbwy9UuoiN+nsvnhPos89GRn+IVg3QaVdBPAetmra8F9s/uUFXbgG0ASSaramJEtZxw/DyXl5/n8vGzXF5JJgfpN6qhm+8D65OcneTZwBXAjhGdS5I0j5Fc0VfVoSTvBr4BnATcWFX3j+JckqT5jWrohqq6DbhtwO7bRlXHCcrPc3n5eS4fP8vlNdDnmapauJck6bjlLRAkqXPHTNAn+YckP0myO8lXk5y62jUdz5JcnuT+JL9N4iyHJfA2HssnyY1JDjqNenkkWZfkziR72r/zq+brf8wEPbATeHVV/RHwn8DVq1zP8e4+4C+A76x2Iccjb+Ox7D4LXLzaRXTkEPC+qnolcD5w5Xz/fR4zQV9V36yqQ231e8zMvdcSVdWeqvrpatdxHPM2Hsuoqr4DPLLadfSiqg5U1b1t+QlgD/PcfeCYCfoj/DXw9dUuQic0b+Oh40KSceBc4K6j9RnZ9Mq5JPkW8AdzbPpgVd3S+nyQmf8t+fxK1nY8GuTz1JIteBsPabUleR7wZeA9VfWro/Vb0aCvqtfPtz3JJuBNwEXlvM8FLfR5aigL3sZDWk1JTmYm5D9fVV+Zr+8xM3ST5GLg/cCbq+rJ1a5HJzxv46FjVpIANwB7quoTC/U/ZoIe+DTwfGBnkl1J/mm1CzqeJXlLkingT4Fbk3xjtWs6nrSJAYdv47EHuNnbeCxdki8A/wG8IslUks2rXdNx7gLg7cCFLS93JbnkaJ39Zqwkde5YuqKXJI2AQS9JnTPoJalzBr0kdc6gl6TOGfSS1DmDXpI6Z9BLUuf+DzpDX4Two+w/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rjtbZO2MlqXHH0ohekjQCBr0kNc6gl6TGGfSS1DiDXpIaZ9BLUuMMeklqnEEvSY37P8NKfvjVAa/AAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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+YNtyF9GQM8C7q+pVwFZg11z/fa6YoK+qL1bVmW71Mabn3muBqupYVT293HWsYt7GY4Cq6lHgR8tdRyuq6lRVPdUtPwccY467D6yYoD/HXwKfX+4idEHzNh5aFZKMAtcAj5+vz9CmV84myZeA35hl0/uq6sGuz/uY/t+S+5eyttWon/dTC9bzNh7SckvycuDTwLuq6qfn67ekQV9Vb5hre5IdwJ8A15fzPnvq9X5qUXrexkNaTkkuZjrk76+qz8zVd8UM3STZBrwH+NOqen6569EFz9t4aMVKEuAe4FhVfaRX/xUT9MDfA68ADiY5lOSflrug1SzJm5NMAn8IPJTkC8td02rSTQw4exuPY8A+b+OxcEk+AXwNeGWSySS3LXdNq9y1wFuA67q8PJTkxvN19puxktS4lXRFL0kaAoNekhpn0EtS4wx6SWqcQS9JjTPoJalxBr0kNc6gl6TG/R/mk+wXcQ1KgAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAC5BJREFUeJzt3H+o3fddx/Hny2b6hxu0Jbe1pIE7JIxV0W5caqX/VCuaVjGdUGn/mGEW4h8pbLA/zNwf859BRZww1EqkpRnU1sBWGmh0q2FQBDt3O0pNzerCrO01obmzshUKk3Rv/8g3eK0399ycHzn3vvN8wOWc87mfe867h/aZ02++95uqQpLU14/NewBJ0mwZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9Jze2Y9wAAO3furMXFxXmPIUnbyosvvvi9qloYtW9LhH5xcZHl5eV5jyFJ20qSf9/MPg/dSFJzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnNb4jdjO1k89OwVf83XHv71K/6akraP1qGfR3Qlaavx0I0kNWfoJak5Qy9JzRl6SWrO0EtSc63PurlaeEqnpI34iV6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1JyXQNBYvOyCtH34iV6SmjP0ktScoZek5gy9JDVn6CWpOc+6keRZVM2N/ESfZHeSryc5leSVJJ8c1q9P8lyS7wy31w3rSfLFJKeTvJzko7P+h5AkXdpmDt2cBz5dVR8GbgcOJrkFOAScqKo9wInhMcDdwJ7h6wDwyNSnliRt2sjQV9XZqvrWcP9t4BSwC9gHHBm2HQHuHe7vA75UF7wAXJvkpqlPLknalMv6y9gki8BHgG8AN1bVWbjwhwFww7BtF/DGmh9bGdYkSXOw6dAneT/wZeBTVfWDjbaus1brPN+BJMtJlldXVzc7hiTpMm0q9Enex4XIP1FVXxmW37x4SGa4PTesrwC71/z4zcCZ9z5nVR2uqqWqWlpYWBh3fknSCCNPr0wS4FHgVFV9Yc23jgH7gYeH22fWrD+U5CngF4DvXzzEI203nnaoDjZzHv0dwMeBf07y0rD2B1wI/NEkDwKvA/cN3zsO3AOcBt4BPjHViaXm5vGHi3obGfqq+gfWP+4OcNc6+ws4OOFckjR1V/oP0a3yf2deAkGSmjP0ktSc17qRNBf+XcSV4yd6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJam5k6JM8luRckpNr1v4wyX8keWn4umfN9z6T5HSSV5P82qwGlyRtzmY+0T8O7F1n/U+r6tbh6zhAkluA+4GfGX7mL5JcM61hJUmXb2Toq+p54K1NPt8+4Kmq+mFV/RtwGrhtgvkkSROa5Bj9Q0leHg7tXDes7QLeWLNnZVj7f5IcSLKcZHl1dXWCMSRJGxk39I8APw3cCpwF/mRYzzp7a70nqKrDVbVUVUsLCwtjjiFJGmWs0FfVm1X1blX9CPgr/vfwzAqwe83Wm4Ezk40oSZrEWKFPctOahx8DLp6Rcwy4P8lPJPkgsAf4p8lGlCRNYseoDUmeBO4EdiZZAT4H3JnkVi4clnkN+D2AqnolyVHgX4DzwMGqenc2o0uSNmNk6KvqgXWWH91g/+eBz08ylCRpevzNWElqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4ZekpobGfokjyU5l+TkmrXrkzyX5DvD7XXDepJ8McnpJC8n+egsh5ckjbaZT/SPA3vfs3YIOFFVe4ATw2OAu4E9w9cB4JHpjClJGtfI0FfV88Bb71neBxwZ7h8B7l2z/qW64AXg2iQ3TWtYSdLlG/cY/Y1VdRZguL1hWN8FvLFm38qwJkmak2n/ZWzWWat1NyYHkiwnWV5dXZ3yGJKki8YN/ZsXD8kMt+eG9RVg95p9NwNn1nuCqjpcVUtVtbSwsDDmGJKkUcYN/TFg/3B/P/DMmvXfGc6+uR34/sVDPJKk+dgxakOSJ4E7gZ1JVoDPAQ8DR5M8CLwO3DdsPw7cA5wG3gE+MYOZJUmXYWToq+qBS3zrrnX2FnBw0qEkSdPjb8ZKUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOZGXtRM2ioWDz077xGkbclP9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSczsm+eEkrwFvA+8C56tqKcn1wN8Ai8BrwG9X1X9NNqYkaVzT+ET/S1V1a1UtDY8PASeqag9wYngsSZqTWRy62QccGe4fAe6dwWtIkjZp0tAX8LUkLyY5MKzdWFVnAYbbG9b7wSQHkiwnWV5dXZ1wDEnSpUx0jB64o6rOJLkBeC7Jtzf7g1V1GDgMsLS0VBPOIUm6hIk+0VfVmeH2HPA0cBvwZpKbAIbbc5MOKUka39ihT/KTST5w8T7wq8BJ4Biwf9i2H3hm0iElSeOb5NDNjcDTSS4+z19X1d8l+SZwNMmDwOvAfZOPKUka19ihr6rvAj+/zvp/AndNMpQkaXr8zVhJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKam1nok+xN8mqS00kOzep1JEkbm0nok1wD/DlwN3AL8ECSW2bxWpKkjc3qE/1twOmq+m5V/TfwFLBvRq8lSdrArEK/C3hjzeOVYU2SdIXtmNHzZp21+j8bkgPAgeHhD5OcnNEsV6OdwPfmPUQjvp/Tc1W9l/mjmb/EhzazaVahXwF2r3l8M3Bm7YaqOgwcBkiyXFVLM5rlquP7OV2+n9PjezldSZY3s29Wh26+CexJ8sEkPw7cDxyb0WtJkjYwk0/0VXU+yUPAV4FrgMeq6pVZvJYkaWOzOnRDVR0Hjm9y++FZzXGV8v2cLt/P6fG9nK5NvZ+pqtG7JEnblpdAkKTmtkzok/xxkm8neTnJ00munfdM21mS+5K8kuRHSTzLYQxexmN6kjyW5JynUU9Hkt1Jvp7k1PDf+Sc32r9lQg88B/xsVf0c8K/AZ+Y8z3Z3Evgt4Pl5D7IdeRmPqXsc2DvvIRo5D3y6qj4M3A4c3Ojfzy0T+qr6WlWdHx6+wIVz7zWmqjpVVa/Oe45tzMt4TFFVPQ+8Ne85uqiqs1X1reH+28ApNrj6wJYJ/Xv8LvC38x5CVzUv46FtIcki8BHgG5faM7PTK9eT5O+Bn1rnW5+tqmeGPZ/lwv+WPHElZ9uONvN+amwjL+MhzVuS9wNfBj5VVT+41L4rGvqq+pWNvp9kP/AbwF3leZ8jjXo/NZGRl/GQ5inJ+7gQ+Seq6isb7d0yh26S7AV+H/jNqnpn3vPoqudlPLRlJQnwKHCqqr4wav+WCT3wZ8AHgOeSvJTkL+c90HaW5GNJVoBfBJ5N8tV5z7SdDCcGXLyMxyngqJfxGF+SJ4F/BD6UZCXJg/OeaZu7A/g48MtDL19Kcs+lNvubsZLU3Fb6RC9JmgFDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDX3PwvhhYe4xNpwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YkqRZDCvolwFPTVuf7MYkSUfYiUN63cwwVv+vIBkHxrvVl5I8NqRejkenAb9c7CYa4vs5OMfVe5nPDP0Qb+2naFhBPwmsmLa+HNgzvaCqNgIbAZJsr6qxIfVy3PH9HCzfz8HxvRysJNv7qRvW1M0PgFVJzkxyMnA5sHVIx5IkzWIoZ/RVdSDJh4FvAycAN1XVzmEcS5I0u2FN3VBVdwF39Vm+cVh9HKd8PwfL93NwfC8Hq6/3M1XVu0qSdMzyJxAkqXFHTdAn+bskP03yaJLbkyxZ7J6OZUkuS7IzyW+TeJXDPPgzHoOT5KYk+7yMejCSrEhyb5Jd3X/nV89Wf9QEPbANeEdV/T7wb8C1i9zPse4x4E+B+xe7kWORP+MxcDcDFy52Ew05AFxTVW8D1gBXzfa/z6Mm6KvqO1V1oFt9gKlr7zVPVbWrqh5f7D6OYf6MxwBV1f3AM4vdRyuqam9VPdItvwDsYpZfHzhqgv4QfwF8a7Gb0HHNn/HQMSHJSuBs4MHD1Qzt8sqZJPku8HszbPpEVd3R1XyCqf9bcuuR7O1Y1M/7qXnr+TMe0mJL8hrg68BHqupXh6s7okFfVe+ebXuSdcCfABeU13321Ov91IL0/BkPaTElOYmpkL+1qr4xW+1RM3WT5ELgY8B7q+rFxe5Hxz1/xkNHrSQBNgG7qurzveqPmqAHvgScCmxLsiPJPyx2Q8eyJO9LMgn8IXBnkm8vdk/Hku7CgIM/47EL2OLPeMxfkq8A3wfemmQyyfrF7ukYdy7wAeD8Li93JLn4cMV+M1aSGnc0ndFLkobAoJekxhn0ktQ4g16SGmfQS1LjDHpJapxBL0mNM+glqXH/A4U1UZ75rqCeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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aZ9BLUuMMeklqnEEvSY0z6CWpcf8LYI+FBw86gf4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAC5dJREFUeJzt3WGo3fV9x/H3Z6bbg7WgkquTGLhlhFI3Vlsu4vCJm2OLdix24NAHbeiE7EEKLfTB0vVB96TgGOugbHNkKKbg7IRWDJitdaEgg9n2WsRpU9fQOb1LMLdztILQEfvdg/zD7tzNPSf3nHPPvd+8X3A55/zu79zzzSG+c/znnH9SVUiS+vqZeQ8gSZotQy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqbld8x4AYPfu3bW4uDjvMSRpR3nuued+WFULo/Zti9AvLi6yvLw87zEkaUdJ8u/j7PPQjSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDW3LT4ZK0lbYfHIU1v6eK888OEtfbxL8RW9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNecnY6UNbPUnKWH7fJpSfRh6Sf6B1pyHbiSpOUMvSc0ZeklqzmP00jYzj+Pl83Cl/Dq3A1/RS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnMjQ59kb5JvJDmV5KUknxzWr03ydJLvD5fXDOtJ8sUkp5O8kORDs/5FSJIubZxX9OeBT1fV+4FbgcNJbgKOACerah9wcrgNcCewb/g6BDw49aklSWMbGfqqOltV3xmuvwmcAvYAB4Bjw7ZjwN3D9QPAl+qCZ4Grk9ww9cklSWO5rGP0SRaBDwLfBK6vqrNw4Q8D4Lph2x7gtTV3WxnWJElzMHbok7wb+Arwqar68UZb11mrdX7eoSTLSZZXV1fHHUOSdJnGCn2Sd3Eh8o9W1VeH5dcvHpIZLs8N6yvA3jV3vxE4886fWVVHq2qpqpYWFhY2O78kaYRx3nUT4CHgVFV9Yc23jgMHh+sHgSfXrH9sePfNrcCPLh7ikSRtvXH+4ZHbgI8C/5Lk+WHtj4AHgMeT3A+8CtwzfO8EcBdwGngL+PhUJ5YkXZaRoa+qf2L94+4Ad6yzv4DDE84lSZoSPxkrSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4ZekpobGfokDyc5l+TFNWt/nOQ/kjw/fN215nufSXI6yctJfmtWg0uSxjPOK/pHgP3rrP95Vd08fJ0ASHITcC/wS8N9/irJVdMaVpJ0+UaGvqqeAd4Y8+cdAL5cVT+pqn8DTgO3TDCfJGlCkxyj/0SSF4ZDO9cMa3uA19bsWRnW/p8kh5IsJ1leXV2dYAxJ0kY2G/oHgV8EbgbOAn82rGedvbXeD6iqo1W1VFVLCwsLmxxDkjTKpkJfVa9X1dtV9VPgb/jfwzMrwN41W28Ezkw2oiRpEpsKfZIb1tz8CHDxHTnHgXuT/FyS9wL7gG9NNqIkaRK7Rm1I8hhwO7A7yQrwOeD2JDdz4bDMK8AfAFTVS0keB74LnAcOV9XbsxldkjSOkaGvqvvWWX5og/2fBz4/yVCSpOnxk7GS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1NzL0SR5Oci7Ji2vWrk3ydJLvD5fXDOtJ8sUkp5O8kORDsxxekjTaOK/oHwH2v2PtCHCyqvYBJ4fbAHcC+4avQ8CD0xlTkrRZI0NfVc8Ab7xj+QBwbLh+DLh7zfqX6oJngauT3DCtYSVJl2+zx+ivr6qzAMPldcP6HuC1NftWhjVJ0pxM+y9js85arbsxOZRkOcny6urqlMeQJF202dC/fvGQzHB5blhfAfau2XcjcGa9H1BVR6tqqaqWFhYWNjmGJGmUzYb+OHBwuH4QeHLN+seGd9/cCvzo4iEeSdJ87Bq1IcljwO3A7iQrwOeAB4DHk9wPvArcM2w/AdwFnAbeAj4+g5klSZdhZOir6r5LfOuOdfYWcHjSoSRJ0+MnYyWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4ZekpobefbKnWzxyFNb/pivPPDhLX9MSdqIr+glqTlDL0nNGXpJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLU3K5J7pzkFeBN4G3gfFUtJbkW+DtgEXgF+L2q+q/JxpQkbdY0XtH/WlXdXFVLw+0jwMmq2gecHG5LkuZkFoduDgDHhuvHgLtn8BiSpDFNGvoCvp7kuSSHhrXrq+oswHB53Xp3THIoyXKS5dXV1QnHkCRdykTH6IHbqupMkuuAp5N8b9w7VtVR4CjA0tJSTTiHJOkSJnpFX1VnhstzwBPALcDrSW4AGC7PTTqkJGnzNh36JD+f5D0XrwO/CbwIHAcODtsOAk9OOqQkafMmOXRzPfBEkos/52+r6h+SfBt4PMn9wKvAPZOPKUnarE2Hvqp+AHxgnfX/BO6YZChJ0vT4yVhJas7QS1Jzhl6SmjP0ktScoZek5gy9JDVn6CWpOUMvSc0ZeklqztBLUnOGXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ1Z+glqbld8x5AGtfikafmPYK0I/mKXpKaM/SS1Jyhl6TmDL0kNWfoJak5Qy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOZmFvok+5O8nOR0kiOzehxJ0sZmEvokVwF/CdwJ3ATcl+SmWTyWJGljs3pFfwtwuqp+UFX/DXwZODCjx5IkbWBWod8DvLbm9sqwJknaYrM6H33WWav/syE5BBwabv4kyYszmmVL5U/mPQEAu4EfznuIRnw+p+eKei63oAfvG2fTrEK/Auxdc/tG4MzaDVV1FDgKkGS5qpZmNMsVx+dzunw+p8fncrqSLI+zb1aHbr4N7Evy3iQ/C9wLHJ/RY0mSNjCTV/RVdT7JJ4CvAVcBD1fVS7N4LEnSxmb2b8ZW1QngxJjbj85qjiuUz+d0+XxOj8/ldI31fKaqRu+SJO1YngJBkprbNqFP8qdJvpfkhSRPJLl63jPtZEnuSfJSkp8m8V0Om+BpPKYnycNJznV5G/W8Jdmb5BtJTg3/nX9yo/3bJvTA08AvV9WvAP8KfGbO8+x0LwK/Czwz70F2Ik/jMXWPAPvnPUQj54FPV9X7gVuBwxv9/tw2oa+qr1fV+eHms1x47702qapOVdXL855jB/M0HlNUVc8Ab8x7ji6q6mxVfWe4/iZwig3OPrBtQv8Ovw/8/byH0BXN03hoR0iyCHwQ+Oal9szs7ZXrSfKPwC+s863PVtWTw57PcuF/Sx7dytl2onGeT23ayNN4SPOW5N3AV4BPVdWPL7VvS0NfVb+x0feTHAR+G7ijfN/nSKOeT01k5Gk8pHlK8i4uRP7RqvrqRnu3zaGbJPuBPwR+p6remvc8uuJ5Gg9tW0kCPAScqqovjNq/bUIP/AXwHuDpJM8n+et5D7STJflIkhXgV4Gnknxt3jPtJMMbAy6exuMU8Lin8di8JI8B/wy8L8lKkvvnPdMOdxvwUeDXh14+n+SuS232k7GS1Nx2ekUvSZoBQy9JzRl6SWrO0EtSc4Zekpoz9JLUnKGXpOYMvSQ19z+Jln2H5NIT4gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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UCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNeJ/AWTHeI8PszRaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rjtbZO2MlqXHH0ohekjQCBr0kNc6gl6TGGfSS1DiDXpIaZ9BLUuMMeklqnEEvSY37P8NKfvjVAa/AAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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+YNtyF9GQM8C7q+pVwFZg11z/fa6YoK+qL1bVmW71Mabn3muBqupYVT293HWsYt7GY4Cq6lHgR8tdRyuq6lRVPdUtPwccY467D6yYoD/HXwKfX+4idEHzNh5aFZKMAtcAj5+vz9CmV84myZeA35hl0/uq6sGuz/uY/t+S+5eyttWon/dTC9bzNh7SckvycuDTwLuq6qfn67ekQV9Vb5hre5IdwJ8A15fzPnvq9X5qUXrexkNaTkkuZjrk76+qz8zVd8UM3STZBrwH+NOqen6569EFz9t4aMVKEuAe4FhVfaRX/xUT9MDfA68ADiY5lOSflrug1SzJm5NMAn8IPJTkC8td02rSTQw4exuPY8A+b+OxcEk+AXwNeGWSySS3LXdNq9y1wFuA67q8PJTkxvN19puxktS4lXRFL0kaAoNekhpn0EtS4wx6SWqcQS9JjTPoJalxBr0kNc6gl6TG/R/mk+wXcQ1KgAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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aZ9BLUuMMeklqnEEvSY0z6CWpcf8LYI+FBw86gf4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "w=100\n",
    "h=(str(w))+'annotations.csv'\n",
    "pks=[]\n",
    "signals=[]\n",
    "xtrain=[]\n",
    "ytrain=[]\n",
    "imp=[['N'],['L','A','V']] # we have normal and non normal heartbeat .Non noraml hearbeat can be divided into(L-Left branch block beat, A-Atrial premature contraction, V-Ventricular contraction)\n",
    "gt=['N','NN']\n",
    "dt=-1\n",
    "rohancnt=0\n",
    "data=pd.DataFrame()\n",
    "while(w<120):# i was hit and trialing how many minimum files to concatenate to avoid data imbalancy other model will be biased\n",
    "    h=(str(w))+\"annotations.csv\"\n",
    "    r0=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w))+\"annotations.csv\")\n",
    "    r1=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+1))+\"annotations.csv\")\n",
    "    r2=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+2))+\"annotations.csv\")\n",
    "    r3=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+3))+\"annotations.csv\")\n",
    "    r4=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+4))+\"annotations.csv\")\n",
    "    r5=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+5))+\"annotations.csv\")\n",
    "    r6=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+6))+\"annotations.csv\")\n",
    "    r7=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+7))+\"annotations.csv\")\n",
    "    r8=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+8))+\"annotations.csv\")\n",
    "    r9=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+9))+\"annotations.csv\")\n",
    "    r10=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+10))+\"annotations.csv\")\n",
    "    r11=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+11))+\"annotations.csv\")\n",
    "    r12=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+12))+\"annotations.csv\")\n",
    "    r13=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+13))+\"annotations.csv\")\n",
    "    r14=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+14))+\"annotations.csv\")\n",
    "    r15=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+15))+\"annotations.csv\")\n",
    "    r16=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+16))+\"annotations.csv\")\n",
    "    r17=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+17))+\"annotations.csv\")\n",
    "    r18=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+18))+\"annotations.csv\")\n",
    "    r19=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+19))+\"annotations.csv\")\n",
    "    r20=pd.read_csv(r\"C:\\Users\\RACHIT\\Desktop\\ECG\\ecg_files\\txt_files\"+'\\\\'+(str(w+20))+\"annotations.csv\")\n",
    "    print((str(w))+'annotations.csv')\n",
    "    r=pd.concat([r0,r1,r2,r3,r4,r5,r6,r7,r8,r9,r10,r11,r12,r13,r14,r15,r16,r17,r18,r19,r20],axis=0)# concat all those files in one file\n",
    "    rac=StandardScaler() # data normalization\n",
    "    r.Sample=rac.fit_transform(r.Sample.values.reshape(-1, 1) )\n",
    "    for g in imp:\n",
    "        for h in g:\n",
    "            ft=r[(r.Type==h)]\n",
    "            data=pd.concat([data,ft],axis=0)\n",
    "        \n",
    "        xtrain=data.Sample\n",
    "        peaks =  biosppy.signals.ecg.christov_segmenter(signal=xtrain, sampling_rate = 200)[0] # To find the RPeaks of the each type of signal(N,NN)\n",
    "        print(g,'peaks are')\n",
    "        print(peaks)\n",
    "        pks.append(peaks)\n",
    "    \n",
    "        dt=dt+1\n",
    "        signals=[]\n",
    "        b=0\n",
    "        b1=[]\n",
    "        count = 1\n",
    "        for i in (peaks[1:-1]):\n",
    "            \n",
    "            diff1 = abs(peaks[count - 1] - i)# To convert those 1D Rpeaks to 2D RPeaks(image foramt)\n",
    "            diff2 = abs(peaks[count + 1]- i)#\n",
    "            x = peaks[count - 1] + diff1//2#\n",
    "            y = peaks[count + 1] - diff2//2#\n",
    "            signal = xtrain[x:y]\n",
    "            print(i)\n",
    "            print(signal)\n",
    "            fig = plt.figure(frameon=False)\n",
    "            #plt.figure()\n",
    "            plt.hist(signal) # plotting the histogram figure of the RPeaks of the signal\n",
    "            plt.xticks(np.arange(-2,3,1))\n",
    "            filename = r'C:\\Users\\RACHIT\\Desktop\\dspimg2'+'\\\\'+gt[dt]+'\\\\'+str(count)+'.png'\n",
    "            fig.savefig(filename)\n",
    "            im_gray = cv2.imread(filename, cv2.IMREAD_GRAYSCALE)# Data augmentation should always be done on gray scale images\n",
    "            im_gray = cv2.resize(im_gray, (64, 64), interpolation = cv2.INTER_LANCZOS4)\n",
    "            cv2.imwrite(filename, im_gray)  \n",
    "            cropping(im_gray, filename,ytrain,g)\n",
    "            ytrain.append(g)\n",
    "            rohancnt=rohancnt+1\n",
    "            \n",
    "        \n",
    "            signals.append(signal)\n",
    "            count += 1\n",
    "        \n",
    "       # print(signals)\n",
    "    #x=[i for i in range(len(signals[0]))]\n",
    "    #plt.scatter(x,signals[0])\n",
    "    #print(signals)\n",
    "    \n",
    "    #print(signals)\n",
    "    #for count, i in enumerate(signals):\n",
    "    #    fig = plt.figure(frameon=False)\n",
    "    #    plt.plot(i) \n",
    "    #    plt.xticks([]), plt.yticks([])\n",
    "    print(ytrain)\n",
    "    w=w+20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Here I have used VGG net Model to train my images using Keras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 550 images belonging to 2 classes.\n",
      "Epoch 1/4\n",
      "10/10 [==============================] - 6s 585ms/step - loss: 11.1597 - acc: 0.3000\n",
      "Epoch 2/4\n",
      "10/10 [==============================] - 2s 230ms/step - loss: 6.3770 - acc: 0.6000\n",
      "Epoch 3/4\n",
      "10/10 [==============================] - 2s 224ms/step - loss: 7.9712 - acc: 0.5000\n",
      "Epoch 4/4\n",
      "10/10 [==============================] - 2s 235ms/step - loss: 3.1885 - acc: 0.8000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x75150cb320>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense,Dropout\n",
    "import warnings\n",
    "from keras.wrappers.scikit_learn import KerasClassifier\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.layers.convolutional import Conv2D\n",
    "from keras.layers.convolutional import MaxPooling2D\n",
    "from keras.layers.normalization import BatchNormalization\n",
    "from keras.layers import Flatten\n",
    "\n",
    "warnings.simplefilter('ignore')\n",
    "model = Sequential()\n",
    "model.add(Conv2D(64, (3,3),strides = (1,1), input_shape = (64,64,3),kernel_initializer='glorot_uniform'))\n",
    "#model.add(keras.layers.ELU())\n",
    "\n",
    "model.add(BatchNormalization())\n",
    "\n",
    "model.add(Conv2D(64, (3,3),strides = (1,1),kernel_initializer='glorot_uniform'))\n",
    "\n",
    "#model.add(keras.layers.ELU())\n",
    "\n",
    "model.add(BatchNormalization())\n",
    "\n",
    "model.add(MaxPooling2D(pool_size=(2, 2), strides= (2,2)))\n",
    "\n",
    "model.add(Conv2D(128, (3,3),strides = (1,1),kernel_initializer='glorot_uniform'))\n",
    "\n",
    "#model.add(keras.layers.ELU())\n",
    "\n",
    "model.add(BatchNormalization())\n",
    "\n",
    "model.add(Conv2D(128, (3,3),strides = (1,1),kernel_initializer='glorot_uniform'))\n",
    "\n",
    "#model.add(keras.layers.ELU())\n",
    "\n",
    "model.add(BatchNormalization())\n",
    "\n",
    "model.add(MaxPooling2D(pool_size=(2, 2), strides= (2,2)))\n",
    "\n",
    "model.add(Conv2D(256, (3,3),strides = (1,1),kernel_initializer='glorot_uniform'))\n",
    "\n",
    "#model.add(keras.layers.ELU())\n",
    "\n",
    "model.add(BatchNormalization())\n",
    "\n",
    "model.add(Conv2D(256, (3,3),strides = (1,1),kernel_initializer='glorot_uniform'))\n",
    "\n",
    "#model.add(keras.layers.ELU())\n",
    "\n",
    "model.add(BatchNormalization())\n",
    "\n",
    "model.add(MaxPooling2D(pool_size=(2, 2), strides= (2,2)))\n",
    "\n",
    "model.add(Flatten())\n",
    "\n",
    "model.add(Dense(2048))\n",
    "\n",
    "#model.add(keras.layers.ELU())\n",
    "\n",
    "model.add(BatchNormalization())\n",
    "\n",
    "model.add(Dropout(0.5))\n",
    "\n",
    "model.add(Dense(1, activation='softmax'))\n",
    "\n",
    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "train_set=ImageDataGenerator(rescale=1./255,horizontal_flip=True,zoom_range=0.2,shear_range=0.2)\n",
    "train=train_set.flow_from_directory(r'C:\\Users\\RACHIT\\Desktop\\dspimg1',target_size=(64,64),batch_size=1,class_mode='binary')\n",
    "model.fit_generator(train,steps_per_epoch=10,epochs=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## After doing 4 epochs on 64*64 size images with 10 steps per epoch I got a decent accuracy of 80%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "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",
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