HDRModelTest.ipynb 378 KB
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from pathlib import Path\n",
    "from PIL import Image\n",
    "\n",
    "from sample.model import HDRModel\n",
    "from trainModel import getSamples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
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    "def plt2Images(imgArr1, title1, imgArr2, title2):\n",
    "    f, axarr = plt.subplots(1, 2)\n",
    "    axarr[0].imshow(imgArr1, cmap=\"Greys_r\")\n",
    "    axarr[0].set_title(title1)\n",
    "    axarr[1].imshow(imgArr2, cmap=\"Greys_r\")\n",
    "    axarr[1].set_title(title2)\n",
    "    plt.show()\n",
    "\n",
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    "SAMPLE_FOLDER = \"data/train\"\n",
    "TEST_FOLDER   = \"data/test\""
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pull in paired slices and masks"
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   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "(6, 512, 512, 3)\n",
      "(6, 512, 512)\n"
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     ]
    }
   ],
   "source": [
    "(xTrain, yTrain) = getSamples(Path(SAMPLE_FOLDER))\n",
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    "\n",
    "#xTrain = xTrain[0:1,:,:,:]\n",
    "#yTrain = yTrain[0:1,:,:]\n",
    "\n",
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    "print(xTrain.shape)\n",
    "print(yTrain.shape)"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 4,
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   "metadata": {},
   "outputs": [
    {
     "data": {
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      "image/png": 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\n",
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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
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    "plt2Images(xTrain[0], \"IMAGE\", yTrain[0], \"MASK\")"
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   ]
  },
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scale data to [0.0, 1.0]"
   ]
  },
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  {
   "cell_type": "code",
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   "execution_count": 5,
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   "metadata": {},
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAX X_TRAIN VALUE PRE-SCALE: 255\n",
      "MAX Y_TRAIN VALUE PRE-SCALE: 107\n",
      "MAX X_TRAIN VALUE POST-SCALE: 1.0\n",
      "MAX Y_TRAIN VALUE POST-SCALE: 107\n"
     ]
    }
   ],
   "source": [
    "print(\"MAX X_TRAIN VALUE PRE-SCALE:\", xTrain[0].max())\n",
    "print(\"MAX Y_TRAIN VALUE PRE-SCALE:\", yTrain[0].max())\n",
    "\n",
    "\n",
    "xTrain = xTrain.astype(np.float32)\n",
    "xTrain /= 255.0\n",
    "\n",
    "\n",
    "print(\"MAX X_TRAIN VALUE POST-SCALE:\", xTrain[0].max())\n",
    "print(\"MAX Y_TRAIN VALUE POST-SCALE:\", yTrain[0].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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": [
    "plt2Images(xTrain[0], \"IMAGE\", yTrain[0], \"MASK\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
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   "source": [
    "xDim = xTrain[0].shape[0]\n",
    "yDim = xTrain[0].shape[1]\n",
    "\n",
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    "shape = (xDim, yDim, 3)\n",
    "print(xTrain[0].max())"
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   ]
  },
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Model: VGG16/Random Forest"
   ]
  },
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  {
   "cell_type": "code",
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   "execution_count": 8,
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   "metadata": {},
   "outputs": [],
   "source": [
    "model = HDRModel(shape=shape)"
   ]
  },
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test  
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fit Model"
   ]
  },
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  {
   "cell_type": "code",
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   "execution_count": 9,
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   "metadata": {},
   "outputs": [
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.3min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.5s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.7s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8274619008563963\n",
      "TRAINING -- EXAMPLE: 0 -- ACC: 0.8274619008563963\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.2min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.7s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8824886990024605\n",
      "TRAINING -- EXAMPLE: 1 -- ACC: 0.8824886990024605\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  2.0min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.3min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.7s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    2.0s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7524080184630644\n",
      "TRAINING -- EXAMPLE: 2 -- ACC: 0.7524080184630644\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  2.0min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.3min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.5s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.7s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7255717255717256\n",
      "TRAINING -- EXAMPLE: 3 -- ACC: 0.7255717255717256\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  2.1min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.5min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7848709683572069\n",
      "TRAINING -- EXAMPLE: 4 -- ACC: 0.7848709683572069\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.2min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.7s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7620782391424593\n",
      "TRAINING -- EXAMPLE: 5 -- ACC: 0.7620782391424593\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.7min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  1.9min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8306090140952527\n",
      "TRAINING -- EXAMPLE: 0 -- ACC: 0.8306090140952527\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.2min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.4s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8810963398119361\n",
      "TRAINING -- EXAMPLE: 1 -- ACC: 0.8810963398119361\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.2min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.752770413320872\n",
      "TRAINING -- EXAMPLE: 2 -- ACC: 0.752770413320872\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.2min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7237406778691182\n",
      "TRAINING -- EXAMPLE: 3 -- ACC: 0.7237406778691182\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  2.0min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.4min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.4s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7829445535867554\n",
      "TRAINING -- EXAMPLE: 4 -- ACC: 0.7829445535867554\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7620973125560282\n",
      "TRAINING -- EXAMPLE: 5 -- ACC: 0.7620973125560282\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.5min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  1.8min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.4s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8252112380552747\n",
      "TRAINING -- EXAMPLE: 0 -- ACC: 0.8252112380552747\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.4s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8800663754792195\n",
      "TRAINING -- EXAMPLE: 1 -- ACC: 0.8800663754792195\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.2min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7539529649621393\n",
      "TRAINING -- EXAMPLE: 2 -- ACC: 0.7539529649621393\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7227488603635392\n",
      "TRAINING -- EXAMPLE: 3 -- ACC: 0.7227488603635392\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  2.1min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.4min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7838982242651967\n",
      "TRAINING -- EXAMPLE: 4 -- ACC: 0.7838982242651967\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7633561578515707\n",
      "TRAINING -- EXAMPLE: 5 -- ACC: 0.7633561578515707\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.5min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  1.8min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8314100974651434\n",
      "TRAINING -- EXAMPLE: 0 -- ACC: 0.8314100974651434\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8806004310591466\n",
      "TRAINING -- EXAMPLE: 1 -- ACC: 0.8806004310591466\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.2min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7525415323580461\n",
      "TRAINING -- EXAMPLE: 2 -- ACC: 0.7525415323580461\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7250758168189361\n",
      "TRAINING -- EXAMPLE: 3 -- ACC: 0.7250758168189361\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  2.0min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.4min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.4s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7838219306109214\n",
      "TRAINING -- EXAMPLE: 4 -- ACC: 0.7838219306109214\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.7min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.0min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7583398500829693\n",
      "TRAINING -- EXAMPLE: 5 -- ACC: 0.7583398500829693\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.5min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  1.8min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8261458353201473\n",
      "TRAINING -- EXAMPLE: 0 -- ACC: 0.8261458353201473\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.4s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.8813824410154686\n",
      "TRAINING -- EXAMPLE: 1 -- ACC: 0.8813824410154686\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.9min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.2min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7569093440653074\n",
      "TRAINING -- EXAMPLE: 2 -- ACC: 0.7569093440653074\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7240267790726507\n",
      "TRAINING -- EXAMPLE: 3 -- ACC: 0.7240267790726507\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  2.1min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.4min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7824486448339659\n",
      "TRAINING -- EXAMPLE: 4 -- ACC: 0.7824486448339659\n",
      "Forest Data X: (262144, 64)\n",
      "Forest Data Y: (262144,)\n",
      "Forest Train X: (209715, 64)\n",
      "Forest Train Y: (209715,)\n",
      "Forest Test X: (52429, 64)\n",
      "Forest Test Y: (52429,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done  50 out of  50 | elapsed:  2.0min finished\n",
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    1.4s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SCORE: 0.7614488164946881\n",
      "TRAINING -- EXAMPLE: 5 -- ACC: 0.7614488164946881\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    1.6s finished\n"
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     ]
    }
   ],
   "source": [
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    "#model.fit(xTrain, yTrain)\n",
    "epochs = 5\n",
    "for e in range(epochs):\n",
    "    for i in range(len(xTrain)):\n",
    "        X = xTrain[i:i+1,:,:,:]\n",
    "        Y = yTrain[i:i+1,:,:]\n",
    "        acc = model.fit(X, Y)\n",
    "        print(\"TRAINING -- EXAMPLE: {} -- ACC: {}\".format(i, acc))"
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   ]
  },
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test  
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Test Images"
   ]
  },
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  {
   "cell_type": "code",
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   "execution_count": 12,
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   "metadata": {},
   "outputs": [
    {
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     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
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    }
   ],
   "source": [
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    "(xTest, yTest) = getSamples(Path(TEST_FOLDER))\n",
    "plt2Images(xTest[2], \"IMAGE\", yTest[2], \"MASK\")\n",
    "\n",
    "testImage = xTest[1]\n",
    "testMask  = yTest[1]"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 13,
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   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend ThreadingBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done  42 tasks      | elapsed:    5.8s\n",
      "[Parallel(n_jobs=4)]: Done  50 out of  50 | elapsed:    6.8s finished\n"
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     ]
    },
    {
     "data": {
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      "image/png": 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\n",
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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
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    "pred  = model.predict(testImage)\n",
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    "\n",
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    "plt2Images(testImage, \"INPUT\", pred, \"PREDICTION\")"
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   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "gpu_tf",
   "language": "python",
   "name": "gpu_tf"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}