CoALTP2_PCA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import glob\n",
    "import math\n",
    "from skimage import io,color,feature,exposure\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib.gridspec import GridSpec\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.externals import joblib\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def LTP2(image,scale1,scale2,row,col,thres):\n",
    "    \n",
    "    ltpmat1 = np.zeros(shape=(r-2,c-2),dtype=np.uint8)\n",
    "    ltpmat2 = np.zeros(shape=(r-2,c-2),dtype=np.uint8)\n",
    "    ltpmat3 = np.zeros(shape=(r-2,c-2),dtype=np.uint8)\n",
    "    ltpmat4 = np.zeros(shape=(r-2,c-2),dtype=np.uint8)\n",
    "\n",
    "    for i in range(1,row-1):\n",
    "        for j in range(1,col-1):\n",
    "            window = image[i-1:i+2,j-1:j+2]\n",
    "            a=window[1,1]-thres\n",
    "            b=window[1,1]+thres\n",
    "            binary1=window>=b\n",
    "            binary2=window<=a\n",
    "            ltpmat1[i-1,j-1] = (sum(sum(binary1*scale1)))\n",
    "            ltpmat2[i-1,j-1] = (sum(sum(binary2*scale1)))\n",
    "            ltpmat3[i-1,j-1] = (sum(sum(binary1*scale2)))\n",
    "            ltpmat4[i-1,j-1] = (sum(sum(binary2*scale2)))\n",
    "    \n",
    "    return ltpmat1,ltpmat2,ltpmat3,ltpmat4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def GLCM(image,d,theta,levels):\n",
    "    return feature.greycomatrix(image,d,theta,levels=levels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def CoLTP2_feature_vector(image):\n",
    "    scale1 = np.array([[2,0,1],[0,0,0],[4,0,8]],dtype=np.uint8)\n",
    "    scale2 = np.array([[0,1,0],[2,0,8],[0,4,0]],dtype=np.uint8)\n",
    "    (r,c) = image.shape\n",
    "    threshold=5\n",
    "    ltpmat1,ltpmat2,ltpmat3,ltpmat4 = LTP2(image,scale1,scale2,r,c,threshold)\n",
    "    \n",
    "    d=[4]\n",
    "    theta=[0,np.pi/4,np.pi/2,3*np.pi/4]\n",
    "    levels=16\n",
    "    ltpg1 = GLCM(ltpmat1,d,theta,levels).flatten()\n",
    "    ltpg2 = GLCM(ltpmat2,d,theta,levels).flatten()\n",
    "    ltpg3 = GLCM(ltpmat3,d,theta,levels).flatten()\n",
    "    ltpg4 = GLCM(ltpmat4,d,theta,levels).flatten()\n",
    "    ltpg2+=32\n",
    "    ltpg3+=48\n",
    "    ltpg4+=64\n",
    "    \n",
    "    return np.concatenate((ltpg1,ltpg2,ltpg3,ltpg4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2304x2304 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image = io.imread('orl_faces\\\\s01\\\\1.pgm')\n",
    "scale1 = np.array([[2,0,1],[0,0,0],[4,0,8]],dtype=np.uint8)\n",
    "scale2 = np.array([[0,1,0],[2,0,8],[0,4,0]],dtype=np.uint8)\n",
    "(r,c) = image.shape\n",
    "threshold=5\n",
    "ltp_image1,ltp_image2,ltp_image3,ltp_image4 = LTP2(image,scale1,scale2,r,c,threshold)\n",
    "d=[4]\n",
    "theta=[0,np.pi/4,np.pi/2,3*np.pi/4]\n",
    "levels=16\n",
    "ltpg1 = GLCM(ltp_image1,d,theta,levels)\n",
    "ltpg2 = GLCM(ltp_image2,d,theta,levels)\n",
    "ltpg3 = GLCM(ltp_image3,d,theta,levels)\n",
    "ltpg4 = GLCM(ltp_image4,d,theta,levels)\n",
    "ltpg2+=32\n",
    "ltpg3+=48\n",
    "ltpg4+=64\n",
    "\n",
    "fig = plt.figure(figsize=(32,32))\n",
    "gs=GridSpec(5,4)\n",
    "\n",
    "ax1=fig.add_subplot(gs[0,0])\n",
    "ax2=fig.add_subplot(gs[0,1])\n",
    "ax3=fig.add_subplot(gs[1,0])\n",
    "ax4=fig.add_subplot(gs[1,1])\n",
    "ax5=fig.add_subplot(gs[2,0])\n",
    "ax6=fig.add_subplot(gs[2,1])\n",
    "ax7=fig.add_subplot(gs[3,0])\n",
    "ax8=fig.add_subplot(gs[3,1])\n",
    "ax9=fig.add_subplot(gs[4,0])\n",
    "ax10=fig.add_subplot(gs[4,1])\n",
    "ax11=fig.add_subplot(gs[0,2])\n",
    "ax12=fig.add_subplot(gs[0,3])\n",
    "ax13=fig.add_subplot(gs[1,2])\n",
    "ax14=fig.add_subplot(gs[1,3])\n",
    "ax15=fig.add_subplot(gs[2,2])\n",
    "ax16=fig.add_subplot(gs[2,3])\n",
    "ax17=fig.add_subplot(gs[3,2])\n",
    "ax18=fig.add_subplot(gs[3,3])\n",
    "ax19=fig.add_subplot(gs[4,2])\n",
    "ax20=fig.add_subplot(gs[4,3])\n",
    "\n",
    "\n",
    "ax1.set_title('LTP Image (Upper matrix) scale:a')\n",
    "ax1.imshow(ltp_image1,cmap='gray')\n",
    "ax1.set_yticklabels([])\n",
    "ax1.set_xticklabels([])\n",
    "\n",
    "ax2.set_title('LTP Image (Lower matrix) scale:a')\n",
    "ax2.imshow(ltp_image2,cmap='gray')\n",
    "ax2.set_yticklabels([])\n",
    "ax2.set_xticklabels([])\n",
    "\n",
    "ax11.set_title('LTP Image (Upper matrix) scale:b')\n",
    "ax11.imshow(ltp_image3,cmap='gray')\n",
    "ax11.set_yticklabels([])\n",
    "ax11.set_xticklabels([])\n",
    "\n",
    "ax12.set_title('LTP Image (Lower matrix) scale:b')\n",
    "ax12.imshow(ltp_image4,cmap='gray')\n",
    "ax12.set_yticklabels([])\n",
    "ax12.set_xticklabels([])\n",
    "\n",
    "ax3.matshow(ltpg1[:,:,0,0],cmap=plt.cm.gray)\n",
    "ax3.set_title('LTP GLCM (Upper matrix) d=4 theta=0 deg')\n",
    "ax3.set_xticks(np.arange(0,16))\n",
    "ax3.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax4.matshow(ltpg2[:,:,0,0],cmap=plt.cm.gray)\n",
    "ax4.set_title('LTP GLCM (Lower matrix) d=4 theta=0 deg')\n",
    "ax4.set_xticks(np.arange(0,16))\n",
    "ax4.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax13.matshow(ltpg3[:,:,0,0],cmap=plt.cm.gray)\n",
    "ax13.set_title('LTP GLCM (Upper matrix) d=4 theta=0 deg')\n",
    "ax13.set_xticks(np.arange(0,16))\n",
    "ax13.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax14.matshow(ltpg4[:,:,0,0],cmap=plt.cm.gray)\n",
    "ax14.set_title('LTP GLCM (Lower matrix) d=4 theta=0 deg')\n",
    "ax14.set_xticks(np.arange(0,16))\n",
    "ax14.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax5.matshow(ltpg1[:,:,0,1],cmap=plt.cm.gray)\n",
    "ax5.set_title('LTP GLCM (Upper matrix) d=4 theta=45 deg')\n",
    "ax5.set_xticks(np.arange(0,16))\n",
    "ax5.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax6.matshow(ltpg2[:,:,0,1],cmap=plt.cm.gray)\n",
    "ax6.set_title('LTP GLCM (Lower matrix) d=4 theta=45 deg')\n",
    "ax6.set_xticks(np.arange(0,16))\n",
    "ax6.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax15.matshow(ltpg3[:,:,0,1],cmap=plt.cm.gray)\n",
    "ax15.set_title('LTP GLCM (Upper matrix) d=4 theta=45 deg')\n",
    "ax15.set_xticks(np.arange(0,16))\n",
    "ax15.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax16.matshow(ltpg4[:,:,0,1],cmap=plt.cm.gray)\n",
    "ax16.set_title('LTP GLCM (Lower matrix) d=4 theta=45 deg')\n",
    "ax16.set_xticks(np.arange(0,16))\n",
    "ax16.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax7.matshow(ltpg1[:,:,0,2],cmap=plt.cm.gray)\n",
    "ax7.set_title('LTP GLCM (Upper matrix) d=4 theta=90 deg')\n",
    "ax7.set_xticks(np.arange(0,16))\n",
    "ax7.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax8.matshow(ltpg2[:,:,0,2],cmap=plt.cm.gray)\n",
    "ax8.set_title('LTP GLCM (Lower matrix) d=4 theta=90 deg')\n",
    "ax8.set_xticks(np.arange(0,16))\n",
    "ax8.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax17.matshow(ltpg3[:,:,0,2],cmap=plt.cm.gray)\n",
    "ax17.set_title('LTP GLCM (Upper matrix) d=4 theta=90 deg')\n",
    "ax17.set_xticks(np.arange(0,16))\n",
    "ax17.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax18.matshow(ltpg4[:,:,0,2],cmap=plt.cm.gray)\n",
    "ax18.set_title('LTP GLCM (Lower matrix) d=4 theta=90 deg')\n",
    "ax18.set_xticks(np.arange(0,16))\n",
    "ax18.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax9.matshow(ltpg1[:,:,0,3],cmap=plt.cm.gray)\n",
    "ax9.set_title('LTP GLCM (Upper matrix) d=4 theta=135 deg')\n",
    "ax9.set_xticks(np.arange(0,16))\n",
    "ax9.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax10.matshow(ltpg2[:,:,0,3],cmap=plt.cm.gray)\n",
    "ax10.set_title('LTP GLCM (Lower matrix) d=4 theta=135 deg')\n",
    "ax10.set_xticks(np.arange(0,16))\n",
    "ax10.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax19.matshow(ltpg3[:,:,0,3],cmap=plt.cm.gray)\n",
    "ax19.set_title('LTP GLCM (Upper matrix) d=4 theta=135 deg')\n",
    "ax19.set_xticks(np.arange(0,16))\n",
    "ax19.set_yticks(np.arange(0,16))\n",
    "\n",
    "ax20.matshow(ltpg4[:,:,0,3],cmap=plt.cm.gray)\n",
    "ax20.set_title('LTP GLCM (Lower matrix) d=4 theta=135 deg')\n",
    "ax20.set_xticks(np.arange(0,16))\n",
    "ax20.set_yticks(np.arange(0,16))\n",
    "plt.savefig('LTP_GLCM_OUTPUT.png')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing image :  1 :  orl_faces\\s01\\0.pgm\n",
      "processing image :  2 :  orl_faces\\s01\\1.pgm\n",
      "processing image :  3 :  orl_faces\\s01\\2.pgm\n",
      "processing image :  4 :  orl_faces\\s01\\3.pgm\n",
      "processing image :  5 :  orl_faces\\s01\\4.pgm\n",
      "processing image :  6 :  orl_faces\\s01\\5.pgm\n",
      "processing image :  7 :  orl_faces\\s01\\6.pgm\n",
      "processing image :  8 :  orl_faces\\s01\\7.pgm\n",
      "processing image :  9 :  orl_faces\\s01\\8.pgm\n",
      "processing image :  10 :  orl_faces\\s01\\9.pgm\n",
      "processing image :  11 :  orl_faces\\s02\\0.pgm\n",
      "processing image :  12 :  orl_faces\\s02\\1.pgm\n",
      "processing image :  13 :  orl_faces\\s02\\2.pgm\n",
      "processing image :  14 :  orl_faces\\s02\\3.pgm\n",
      "processing image :  15 :  orl_faces\\s02\\4.pgm\n",
      "processing image :  16 :  orl_faces\\s02\\5.pgm\n",
      "processing image :  17 :  orl_faces\\s02\\6.pgm\n",
      "processing image :  18 :  orl_faces\\s02\\7.pgm\n",
      "processing image :  19 :  orl_faces\\s02\\8.pgm\n",
      "processing image :  20 :  orl_faces\\s02\\9.pgm\n",
      "processing image :  21 :  orl_faces\\s03\\0.pgm\n",
      "processing image :  22 :  orl_faces\\s03\\1.pgm\n",
      "processing image :  23 :  orl_faces\\s03\\2.pgm\n",
      "processing image :  24 :  orl_faces\\s03\\3.pgm\n",
      "processing image :  25 :  orl_faces\\s03\\4.pgm\n",
      "processing image :  26 :  orl_faces\\s03\\5.pgm\n",
      "processing image :  27 :  orl_faces\\s03\\6.pgm\n",
      "processing image :  28 :  orl_faces\\s03\\7.pgm\n",
      "processing image :  29 :  orl_faces\\s03\\8.pgm\n",
      "processing image :  30 :  orl_faces\\s03\\9.pgm\n",
      "processing image :  31 :  orl_faces\\s04\\0.pgm\n",
      "processing image :  32 :  orl_faces\\s04\\1.pgm\n",
      "processing image :  33 :  orl_faces\\s04\\2.pgm\n",
      "processing image :  34 :  orl_faces\\s04\\3.pgm\n",
      "processing image :  35 :  orl_faces\\s04\\4.pgm\n",
      "processing image :  36 :  orl_faces\\s04\\5.pgm\n",
      "processing image :  37 :  orl_faces\\s04\\6.pgm\n",
      "processing image :  38 :  orl_faces\\s04\\7.pgm\n",
      "processing image :  39 :  orl_faces\\s04\\8.pgm\n",
      "processing image :  40 :  orl_faces\\s04\\9.pgm\n",
      "processing image :  41 :  orl_faces\\s05\\0.pgm\n",
      "processing image :  42 :  orl_faces\\s05\\1.pgm\n",
      "processing image :  43 :  orl_faces\\s05\\2.pgm\n",
      "processing image :  44 :  orl_faces\\s05\\3.pgm\n",
      "processing image :  45 :  orl_faces\\s05\\4.pgm\n",
      "processing image :  46 :  orl_faces\\s05\\5.pgm\n",
      "processing image :  47 :  orl_faces\\s05\\6.pgm\n",
      "processing image :  48 :  orl_faces\\s05\\7.pgm\n",
      "processing image :  49 :  orl_faces\\s05\\8.pgm\n",
      "processing image :  50 :  orl_faces\\s05\\9.pgm\n",
      "processing image :  51 :  orl_faces\\s06\\0.pgm\n",
      "processing image :  52 :  orl_faces\\s06\\1.pgm\n",
      "processing image :  53 :  orl_faces\\s06\\2.pgm\n",
      "processing image :  54 :  orl_faces\\s06\\3.pgm\n",
      "processing image :  55 :  orl_faces\\s06\\4.pgm\n",
      "processing image :  56 :  orl_faces\\s06\\5.pgm\n",
      "processing image :  57 :  orl_faces\\s06\\6.pgm\n",
      "processing image :  58 :  orl_faces\\s06\\7.pgm\n",
      "processing image :  59 :  orl_faces\\s06\\8.pgm\n",
      "processing image :  60 :  orl_faces\\s06\\9.pgm\n",
      "processing image :  61 :  orl_faces\\s07\\0.pgm\n",
      "processing image :  62 :  orl_faces\\s07\\1.pgm\n",
      "processing image :  63 :  orl_faces\\s07\\2.pgm\n",
      "processing image :  64 :  orl_faces\\s07\\3.pgm\n",
      "processing image :  65 :  orl_faces\\s07\\4.pgm\n",
      "processing image :  66 :  orl_faces\\s07\\5.pgm\n",
      "processing image :  67 :  orl_faces\\s07\\6.pgm\n",
      "processing image :  68 :  orl_faces\\s07\\7.pgm\n",
      "processing image :  69 :  orl_faces\\s07\\8.pgm\n",
      "processing image :  70 :  orl_faces\\s07\\9.pgm\n",
      "processing image :  71 :  orl_faces\\s08\\0.pgm\n",
      "processing image :  72 :  orl_faces\\s08\\1.pgm\n",
      "processing image :  73 :  orl_faces\\s08\\2.pgm\n",
      "processing image :  74 :  orl_faces\\s08\\3.pgm\n",
      "processing image :  75 :  orl_faces\\s08\\4.pgm\n",
      "processing image :  76 :  orl_faces\\s08\\5.pgm\n",
      "processing image :  77 :  orl_faces\\s08\\6.pgm\n",
      "processing image :  78 :  orl_faces\\s08\\7.pgm\n",
      "processing image :  79 :  orl_faces\\s08\\8.pgm\n",
      "processing image :  80 :  orl_faces\\s08\\9.pgm\n",
      "processing image :  81 :  orl_faces\\s09\\0.pgm\n",
      "processing image :  82 :  orl_faces\\s09\\1.pgm\n",
      "processing image :  83 :  orl_faces\\s09\\2.pgm\n",
      "processing image :  84 :  orl_faces\\s09\\3.pgm\n",
      "processing image :  85 :  orl_faces\\s09\\4.pgm\n",
      "processing image :  86 :  orl_faces\\s09\\5.pgm\n",
      "processing image :  87 :  orl_faces\\s09\\6.pgm\n",
      "processing image :  88 :  orl_faces\\s09\\7.pgm\n",
      "processing image :  89 :  orl_faces\\s09\\8.pgm\n",
      "processing image :  90 :  orl_faces\\s09\\9.pgm\n",
      "processing image :  91 :  orl_faces\\s10\\0.pgm\n",
      "processing image :  92 :  orl_faces\\s10\\1.pgm\n",
      "processing image :  93 :  orl_faces\\s10\\2.pgm\n",
      "processing image :  94 :  orl_faces\\s10\\3.pgm\n",
      "processing image :  95 :  orl_faces\\s10\\4.pgm\n",
      "processing image :  96 :  orl_faces\\s10\\5.pgm\n",
      "processing image :  97 :  orl_faces\\s10\\6.pgm\n",
      "processing image :  98 :  orl_faces\\s10\\7.pgm\n",
      "processing image :  99 :  orl_faces\\s10\\8.pgm\n",
      "processing image :  100 :  orl_faces\\s10\\9.pgm\n",
      "processing image :  101 :  orl_faces\\s11\\0.pgm\n",
      "processing image :  102 :  orl_faces\\s11\\1.pgm\n",
      "processing image :  103 :  orl_faces\\s11\\2.pgm\n",
      "processing image :  104 :  orl_faces\\s11\\3.pgm\n",
      "processing image :  105 :  orl_faces\\s11\\4.pgm\n",
      "processing image :  106 :  orl_faces\\s11\\5.pgm\n",
      "processing image :  107 :  orl_faces\\s11\\6.pgm\n",
      "processing image :  108 :  orl_faces\\s11\\7.pgm\n",
      "processing image :  109 :  orl_faces\\s11\\8.pgm\n",
      "processing image :  110 :  orl_faces\\s11\\9.pgm\n",
      "processing image :  111 :  orl_faces\\s12\\0.pgm\n",
      "processing image :  112 :  orl_faces\\s12\\1.pgm\n",
      "processing image :  113 :  orl_faces\\s12\\2.pgm\n",
      "processing image :  114 :  orl_faces\\s12\\3.pgm\n",
      "processing image :  115 :  orl_faces\\s12\\4.pgm\n",
      "processing image :  116 :  orl_faces\\s12\\5.pgm\n",
      "processing image :  117 :  orl_faces\\s12\\6.pgm\n",
      "processing image :  118 :  orl_faces\\s12\\7.pgm\n",
      "processing image :  119 :  orl_faces\\s12\\8.pgm\n",
      "processing image :  120 :  orl_faces\\s12\\9.pgm\n",
      "processing image :  121 :  orl_faces\\s13\\0.pgm\n",
      "processing image :  122 :  orl_faces\\s13\\1.pgm\n",
      "processing image :  123 :  orl_faces\\s13\\2.pgm\n",
      "processing image :  124 :  orl_faces\\s13\\3.pgm\n",
      "processing image :  125 :  orl_faces\\s13\\4.pgm\n",
      "processing image :  126 :  orl_faces\\s13\\5.pgm\n",
      "processing image :  127 :  orl_faces\\s13\\6.pgm\n",
      "processing image :  128 :  orl_faces\\s13\\7.pgm\n",
      "processing image :  129 :  orl_faces\\s13\\8.pgm\n",
      "processing image :  130 :  orl_faces\\s13\\9.pgm\n",
      "processing image :  131 :  orl_faces\\s14\\0.pgm\n",
      "processing image :  132 :  orl_faces\\s14\\1.pgm\n",
      "processing image :  133 :  orl_faces\\s14\\2.pgm\n",
      "processing image :  134 :  orl_faces\\s14\\3.pgm\n",
      "processing image :  135 :  orl_faces\\s14\\4.pgm\n",
      "processing image :  136 :  orl_faces\\s14\\5.pgm\n",
      "processing image :  137 :  orl_faces\\s14\\6.pgm\n",
      "processing image :  138 :  orl_faces\\s14\\7.pgm\n",
      "processing image :  139 :  orl_faces\\s14\\8.pgm\n",
      "processing image :  140 :  orl_faces\\s14\\9.pgm\n",
      "processing image :  141 :  orl_faces\\s15\\0.pgm\n",
      "processing image :  142 :  orl_faces\\s15\\1.pgm\n",
      "processing image :  143 :  orl_faces\\s15\\2.pgm\n",
      "processing image :  144 :  orl_faces\\s15\\3.pgm\n",
      "processing image :  145 :  orl_faces\\s15\\4.pgm\n",
      "processing image :  146 :  orl_faces\\s15\\5.pgm\n",
      "processing image :  147 :  orl_faces\\s15\\6.pgm\n",
      "processing image :  148 :  orl_faces\\s15\\7.pgm\n",
      "processing image :  149 :  orl_faces\\s15\\8.pgm\n",
      "processing image :  150 :  orl_faces\\s15\\9.pgm\n",
      "processing image :  151 :  orl_faces\\s16\\0.pgm\n",
      "processing image :  152 :  orl_faces\\s16\\1.pgm\n",
      "processing image :  153 :  orl_faces\\s16\\2.pgm\n",
      "processing image :  154 :  orl_faces\\s16\\3.pgm\n",
      "processing image :  155 :  orl_faces\\s16\\4.pgm\n",
      "processing image :  156 :  orl_faces\\s16\\5.pgm\n",
      "processing image :  157 :  orl_faces\\s16\\6.pgm\n",
      "processing image :  158 :  orl_faces\\s16\\7.pgm\n",
      "processing image :  159 :  orl_faces\\s16\\8.pgm\n",
      "processing image :  160 :  orl_faces\\s16\\9.pgm\n",
      "processing image :  161 :  orl_faces\\s17\\0.pgm\n",
      "processing image :  162 :  orl_faces\\s17\\1.pgm\n",
      "processing image :  163 :  orl_faces\\s17\\2.pgm\n",
      "processing image :  164 :  orl_faces\\s17\\3.pgm\n",
      "processing image :  165 :  orl_faces\\s17\\4.pgm\n",
      "processing image :  166 :  orl_faces\\s17\\5.pgm\n",
      "processing image :  167 :  orl_faces\\s17\\6.pgm\n",
      "processing image :  168 :  orl_faces\\s17\\7.pgm\n",
      "processing image :  169 :  orl_faces\\s17\\8.pgm\n",
      "processing image :  170 :  orl_faces\\s17\\9.pgm\n",
      "processing image :  171 :  orl_faces\\s18\\0.pgm\n",
      "processing image :  172 :  orl_faces\\s18\\1.pgm\n",
      "processing image :  173 :  orl_faces\\s18\\2.pgm\n",
      "processing image :  174 :  orl_faces\\s18\\3.pgm\n",
      "processing image :  175 :  orl_faces\\s18\\4.pgm\n",
      "processing image :  176 :  orl_faces\\s18\\5.pgm\n",
      "processing image :  177 :  orl_faces\\s18\\6.pgm\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing image :  178 :  orl_faces\\s18\\7.pgm\n",
      "processing image :  179 :  orl_faces\\s18\\8.pgm\n",
      "processing image :  180 :  orl_faces\\s18\\9.pgm\n",
      "processing image :  181 :  orl_faces\\s19\\0.pgm\n",
      "processing image :  182 :  orl_faces\\s19\\1.pgm\n",
      "processing image :  183 :  orl_faces\\s19\\2.pgm\n",
      "processing image :  184 :  orl_faces\\s19\\3.pgm\n",
      "processing image :  185 :  orl_faces\\s19\\4.pgm\n",
      "processing image :  186 :  orl_faces\\s19\\5.pgm\n",
      "processing image :  187 :  orl_faces\\s19\\6.pgm\n",
      "processing image :  188 :  orl_faces\\s19\\7.pgm\n",
      "processing image :  189 :  orl_faces\\s19\\8.pgm\n",
      "processing image :  190 :  orl_faces\\s19\\9.pgm\n",
      "processing image :  191 :  orl_faces\\s20\\0.pgm\n",
      "processing image :  192 :  orl_faces\\s20\\1.pgm\n",
      "processing image :  193 :  orl_faces\\s20\\2.pgm\n",
      "processing image :  194 :  orl_faces\\s20\\3.pgm\n",
      "processing image :  195 :  orl_faces\\s20\\4.pgm\n",
      "processing image :  196 :  orl_faces\\s20\\5.pgm\n",
      "processing image :  197 :  orl_faces\\s20\\6.pgm\n",
      "processing image :  198 :  orl_faces\\s20\\7.pgm\n",
      "processing image :  199 :  orl_faces\\s20\\8.pgm\n",
      "processing image :  200 :  orl_faces\\s20\\9.pgm\n",
      "processing image :  201 :  orl_faces\\s21\\0.pgm\n",
      "processing image :  202 :  orl_faces\\s21\\1.pgm\n",
      "processing image :  203 :  orl_faces\\s21\\2.pgm\n",
      "processing image :  204 :  orl_faces\\s21\\3.pgm\n",
      "processing image :  205 :  orl_faces\\s21\\4.pgm\n",
      "processing image :  206 :  orl_faces\\s21\\5.pgm\n",
      "processing image :  207 :  orl_faces\\s21\\6.pgm\n",
      "processing image :  208 :  orl_faces\\s21\\7.pgm\n",
      "processing image :  209 :  orl_faces\\s21\\8.pgm\n",
      "processing image :  210 :  orl_faces\\s21\\9.pgm\n",
      "processing image :  211 :  orl_faces\\s22\\0.pgm\n",
      "processing image :  212 :  orl_faces\\s22\\1.pgm\n",
      "processing image :  213 :  orl_faces\\s22\\2.pgm\n",
      "processing image :  214 :  orl_faces\\s22\\3.pgm\n",
      "processing image :  215 :  orl_faces\\s22\\4.pgm\n",
      "processing image :  216 :  orl_faces\\s22\\5.pgm\n",
      "processing image :  217 :  orl_faces\\s22\\6.pgm\n",
      "processing image :  218 :  orl_faces\\s22\\7.pgm\n",
      "processing image :  219 :  orl_faces\\s22\\8.pgm\n",
      "processing image :  220 :  orl_faces\\s22\\9.pgm\n",
      "processing image :  221 :  orl_faces\\s23\\0.pgm\n",
      "processing image :  222 :  orl_faces\\s23\\1.pgm\n",
      "processing image :  223 :  orl_faces\\s23\\2.pgm\n",
      "processing image :  224 :  orl_faces\\s23\\3.pgm\n",
      "processing image :  225 :  orl_faces\\s23\\4.pgm\n",
      "processing image :  226 :  orl_faces\\s23\\5.pgm\n",
      "processing image :  227 :  orl_faces\\s23\\6.pgm\n",
      "processing image :  228 :  orl_faces\\s23\\7.pgm\n",
      "processing image :  229 :  orl_faces\\s23\\8.pgm\n",
      "processing image :  230 :  orl_faces\\s23\\9.pgm\n",
      "processing image :  231 :  orl_faces\\s24\\0.pgm\n",
      "processing image :  232 :  orl_faces\\s24\\1.pgm\n",
      "processing image :  233 :  orl_faces\\s24\\2.pgm\n",
      "processing image :  234 :  orl_faces\\s24\\3.pgm\n",
      "processing image :  235 :  orl_faces\\s24\\4.pgm\n",
      "processing image :  236 :  orl_faces\\s24\\5.pgm\n",
      "processing image :  237 :  orl_faces\\s24\\6.pgm\n",
      "processing image :  238 :  orl_faces\\s24\\7.pgm\n",
      "processing image :  239 :  orl_faces\\s24\\8.pgm\n",
      "processing image :  240 :  orl_faces\\s24\\9.pgm\n",
      "processing image :  241 :  orl_faces\\s25\\0.pgm\n",
      "processing image :  242 :  orl_faces\\s25\\1.pgm\n",
      "processing image :  243 :  orl_faces\\s25\\2.pgm\n",
      "processing image :  244 :  orl_faces\\s25\\3.pgm\n",
      "processing image :  245 :  orl_faces\\s25\\4.pgm\n",
      "processing image :  246 :  orl_faces\\s25\\5.pgm\n",
      "processing image :  247 :  orl_faces\\s25\\6.pgm\n",
      "processing image :  248 :  orl_faces\\s25\\7.pgm\n",
      "processing image :  249 :  orl_faces\\s25\\8.pgm\n",
      "processing image :  250 :  orl_faces\\s25\\9.pgm\n",
      "processing image :  251 :  orl_faces\\s26\\0.pgm\n",
      "processing image :  252 :  orl_faces\\s26\\1.pgm\n",
      "processing image :  253 :  orl_faces\\s26\\2.pgm\n",
      "processing image :  254 :  orl_faces\\s26\\3.pgm\n",
      "processing image :  255 :  orl_faces\\s26\\4.pgm\n",
      "processing image :  256 :  orl_faces\\s26\\5.pgm\n",
      "processing image :  257 :  orl_faces\\s26\\6.pgm\n",
      "processing image :  258 :  orl_faces\\s26\\7.pgm\n",
      "processing image :  259 :  orl_faces\\s26\\8.pgm\n",
      "processing image :  260 :  orl_faces\\s26\\9.pgm\n",
      "processing image :  261 :  orl_faces\\s27\\0.pgm\n",
      "processing image :  262 :  orl_faces\\s27\\1.pgm\n",
      "processing image :  263 :  orl_faces\\s27\\2.pgm\n",
      "processing image :  264 :  orl_faces\\s27\\3.pgm\n",
      "processing image :  265 :  orl_faces\\s27\\4.pgm\n",
      "processing image :  266 :  orl_faces\\s27\\5.pgm\n",
      "processing image :  267 :  orl_faces\\s27\\6.pgm\n",
      "processing image :  268 :  orl_faces\\s27\\7.pgm\n",
      "processing image :  269 :  orl_faces\\s27\\8.pgm\n",
      "processing image :  270 :  orl_faces\\s27\\9.pgm\n",
      "processing image :  271 :  orl_faces\\s28\\0.pgm\n",
      "processing image :  272 :  orl_faces\\s28\\1.pgm\n",
      "processing image :  273 :  orl_faces\\s28\\2.pgm\n",
      "processing image :  274 :  orl_faces\\s28\\3.pgm\n",
      "processing image :  275 :  orl_faces\\s28\\4.pgm\n",
      "processing image :  276 :  orl_faces\\s28\\5.pgm\n",
      "processing image :  277 :  orl_faces\\s28\\6.pgm\n",
      "processing image :  278 :  orl_faces\\s28\\7.pgm\n",
      "processing image :  279 :  orl_faces\\s28\\8.pgm\n",
      "processing image :  280 :  orl_faces\\s28\\9.pgm\n",
      "processing image :  281 :  orl_faces\\s29\\0.pgm\n",
      "processing image :  282 :  orl_faces\\s29\\1.pgm\n",
      "processing image :  283 :  orl_faces\\s29\\2.pgm\n",
      "processing image :  284 :  orl_faces\\s29\\3.pgm\n",
      "processing image :  285 :  orl_faces\\s29\\4.pgm\n",
      "processing image :  286 :  orl_faces\\s29\\5.pgm\n",
      "processing image :  287 :  orl_faces\\s29\\6.pgm\n",
      "processing image :  288 :  orl_faces\\s29\\7.pgm\n",
      "processing image :  289 :  orl_faces\\s29\\8.pgm\n",
      "processing image :  290 :  orl_faces\\s29\\9.pgm\n",
      "processing image :  291 :  orl_faces\\s30\\0.pgm\n",
      "processing image :  292 :  orl_faces\\s30\\1.pgm\n",
      "processing image :  293 :  orl_faces\\s30\\2.pgm\n",
      "processing image :  294 :  orl_faces\\s30\\3.pgm\n",
      "processing image :  295 :  orl_faces\\s30\\4.pgm\n",
      "processing image :  296 :  orl_faces\\s30\\5.pgm\n",
      "processing image :  297 :  orl_faces\\s30\\6.pgm\n",
      "processing image :  298 :  orl_faces\\s30\\7.pgm\n",
      "processing image :  299 :  orl_faces\\s30\\8.pgm\n",
      "processing image :  300 :  orl_faces\\s30\\9.pgm\n",
      "processing image :  301 :  orl_faces\\s31\\0.pgm\n",
      "processing image :  302 :  orl_faces\\s31\\1.pgm\n",
      "processing image :  303 :  orl_faces\\s31\\2.pgm\n",
      "processing image :  304 :  orl_faces\\s31\\3.pgm\n",
      "processing image :  305 :  orl_faces\\s31\\4.pgm\n",
      "processing image :  306 :  orl_faces\\s31\\5.pgm\n",
      "processing image :  307 :  orl_faces\\s31\\6.pgm\n",
      "processing image :  308 :  orl_faces\\s31\\7.pgm\n",
      "processing image :  309 :  orl_faces\\s31\\8.pgm\n",
      "processing image :  310 :  orl_faces\\s31\\9.pgm\n",
      "processing image :  311 :  orl_faces\\s32\\0.pgm\n",
      "processing image :  312 :  orl_faces\\s32\\1.pgm\n",
      "processing image :  313 :  orl_faces\\s32\\2.pgm\n",
      "processing image :  314 :  orl_faces\\s32\\3.pgm\n",
      "processing image :  315 :  orl_faces\\s32\\4.pgm\n",
      "processing image :  316 :  orl_faces\\s32\\5.pgm\n",
      "processing image :  317 :  orl_faces\\s32\\6.pgm\n",
      "processing image :  318 :  orl_faces\\s32\\7.pgm\n",
      "processing image :  319 :  orl_faces\\s32\\8.pgm\n",
      "processing image :  320 :  orl_faces\\s32\\9.pgm\n",
      "processing image :  321 :  orl_faces\\s33\\0.pgm\n",
      "processing image :  322 :  orl_faces\\s33\\1.pgm\n",
      "processing image :  323 :  orl_faces\\s33\\2.pgm\n",
      "processing image :  324 :  orl_faces\\s33\\3.pgm\n",
      "processing image :  325 :  orl_faces\\s33\\4.pgm\n",
      "processing image :  326 :  orl_faces\\s33\\5.pgm\n",
      "processing image :  327 :  orl_faces\\s33\\6.pgm\n",
      "processing image :  328 :  orl_faces\\s33\\7.pgm\n",
      "processing image :  329 :  orl_faces\\s33\\8.pgm\n",
      "processing image :  330 :  orl_faces\\s33\\9.pgm\n",
      "processing image :  331 :  orl_faces\\s34\\0.pgm\n",
      "processing image :  332 :  orl_faces\\s34\\1.pgm\n",
      "processing image :  333 :  orl_faces\\s34\\2.pgm\n",
      "processing image :  334 :  orl_faces\\s34\\3.pgm\n",
      "processing image :  335 :  orl_faces\\s34\\4.pgm\n",
      "processing image :  336 :  orl_faces\\s34\\5.pgm\n",
      "processing image :  337 :  orl_faces\\s34\\6.pgm\n",
      "processing image :  338 :  orl_faces\\s34\\7.pgm\n",
      "processing image :  339 :  orl_faces\\s34\\8.pgm\n",
      "processing image :  340 :  orl_faces\\s34\\9.pgm\n",
      "processing image :  341 :  orl_faces\\s35\\0.pgm\n",
      "processing image :  342 :  orl_faces\\s35\\1.pgm\n",
      "processing image :  343 :  orl_faces\\s35\\2.pgm\n",
      "processing image :  344 :  orl_faces\\s35\\3.pgm\n",
      "processing image :  345 :  orl_faces\\s35\\4.pgm\n",
      "processing image :  346 :  orl_faces\\s35\\5.pgm\n",
      "processing image :  347 :  orl_faces\\s35\\6.pgm\n",
      "processing image :  348 :  orl_faces\\s35\\7.pgm\n",
      "processing image :  349 :  orl_faces\\s35\\8.pgm\n",
      "processing image :  350 :  orl_faces\\s35\\9.pgm\n",
      "processing image :  351 :  orl_faces\\s36\\0.pgm\n",
      "processing image :  352 :  orl_faces\\s36\\1.pgm\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing image :  353 :  orl_faces\\s36\\2.pgm\n",
      "processing image :  354 :  orl_faces\\s36\\3.pgm\n",
      "processing image :  355 :  orl_faces\\s36\\4.pgm\n",
      "processing image :  356 :  orl_faces\\s36\\5.pgm\n",
      "processing image :  357 :  orl_faces\\s36\\6.pgm\n",
      "processing image :  358 :  orl_faces\\s36\\7.pgm\n",
      "processing image :  359 :  orl_faces\\s36\\8.pgm\n",
      "processing image :  360 :  orl_faces\\s36\\9.pgm\n",
      "processing image :  361 :  orl_faces\\s37\\0.pgm\n",
      "processing image :  362 :  orl_faces\\s37\\1.pgm\n",
      "processing image :  363 :  orl_faces\\s37\\2.pgm\n",
      "processing image :  364 :  orl_faces\\s37\\3.pgm\n",
      "processing image :  365 :  orl_faces\\s37\\4.pgm\n",
      "processing image :  366 :  orl_faces\\s37\\5.pgm\n",
      "processing image :  367 :  orl_faces\\s37\\6.pgm\n",
      "processing image :  368 :  orl_faces\\s37\\7.pgm\n",
      "processing image :  369 :  orl_faces\\s37\\8.pgm\n",
      "processing image :  370 :  orl_faces\\s37\\9.pgm\n",
      "processing image :  371 :  orl_faces\\s38\\0.pgm\n",
      "processing image :  372 :  orl_faces\\s38\\1.pgm\n",
      "processing image :  373 :  orl_faces\\s38\\2.pgm\n",
      "processing image :  374 :  orl_faces\\s38\\3.pgm\n",
      "processing image :  375 :  orl_faces\\s38\\4.pgm\n",
      "processing image :  376 :  orl_faces\\s38\\5.pgm\n",
      "processing image :  377 :  orl_faces\\s38\\6.pgm\n",
      "processing image :  378 :  orl_faces\\s38\\7.pgm\n",
      "processing image :  379 :  orl_faces\\s38\\8.pgm\n",
      "processing image :  380 :  orl_faces\\s38\\9.pgm\n",
      "processing image :  381 :  orl_faces\\s39\\0.pgm\n",
      "processing image :  382 :  orl_faces\\s39\\1.pgm\n",
      "processing image :  383 :  orl_faces\\s39\\2.pgm\n",
      "processing image :  384 :  orl_faces\\s39\\3.pgm\n",
      "processing image :  385 :  orl_faces\\s39\\4.pgm\n",
      "processing image :  386 :  orl_faces\\s39\\5.pgm\n",
      "processing image :  387 :  orl_faces\\s39\\6.pgm\n",
      "processing image :  388 :  orl_faces\\s39\\7.pgm\n",
      "processing image :  389 :  orl_faces\\s39\\8.pgm\n",
      "processing image :  390 :  orl_faces\\s39\\9.pgm\n",
      "processing image :  391 :  orl_faces\\s40\\0.pgm\n",
      "processing image :  392 :  orl_faces\\s40\\1.pgm\n",
      "processing image :  393 :  orl_faces\\s40\\2.pgm\n",
      "processing image :  394 :  orl_faces\\s40\\3.pgm\n",
      "processing image :  395 :  orl_faces\\s40\\4.pgm\n",
      "processing image :  396 :  orl_faces\\s40\\5.pgm\n",
      "processing image :  397 :  orl_faces\\s40\\6.pgm\n",
      "processing image :  398 :  orl_faces\\s40\\7.pgm\n",
      "processing image :  399 :  orl_faces\\s40\\8.pgm\n",
      "processing image :  400 :  orl_faces\\s40\\9.pgm\n"
     ]
    }
   ],
   "source": [
    "coltp2_feature_matrix = []\n",
    "k=1\n",
    "for img_file in glob.glob(\"orl_faces\\\\**\\\\*.pgm\"):\n",
    "    print(\"processing image : \",k,\": \",img_file)\n",
    "    image = io.imread(img_file)\n",
    "    coltp2_feature_matrix.append(CoLTP2_feature_vector(image))\n",
    "    \n",
    "    k+=1\n",
    "scal=StandardScaler()\n",
    "coltp2_pca_feature_matrix_standard=scal.fit_transform(coltp2_feature_matrix)\n",
    "pca=PCA(21)\n",
    "principalComponents = pca.fit_transform(coltp2_pca_feature_matrix_standard)\n",
    "param=[principalComponents.min(),principalComponents.max()]\n",
    "principalComponents=(principalComponents-param[0])*(16/(param[1]-param[0]))\n",
    "\n",
    "scaler_filename = \"Models\\\\coltp2_pca\\\\StandardScaler\\\\scaler.save\"\n",
    "joblib.dump(scal, scaler_filename) \n",
    "pca_filename = \"Models\\\\coltp2_pca\\\\PCA\\\\pca.save\"\n",
    "joblib.dump(pca, pca_filename) \n",
    "np.savetxt(\"Models\\\\max_min_param.csv\",principalComponents,delimiter=\",\")\n",
    "np.savetxt(\"CSV\\\\orl_faces_CoLTP2_PCA_FeatureMatrix.csv\",principalComponents,delimiter=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cityBlockDistance(feature_matrix):\n",
    "    (row,col)=np.shape(feature_matrix)\n",
    "    city_block_distance_matrix = np.zeros(shape=(row,row),dtype=np.double)\n",
    "    for i in range(row):\n",
    "        for j in range(i+1,row):\n",
    "            city_block_distance_matrix[i,j] = city_block_distance_matrix[j,i] = sum(np.abs(feature_matrix[i]-feature_matrix[j]))\n",
    "    return city_block_distance_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def euclideanDistance(feature_matrix):\n",
    "    (row,col)=np.shape(feature_matrix)\n",
    "    euclidean_distance_matrix = np.zeros(shape=(row,row),dtype=np.double)\n",
    "    for i in range(row):\n",
    "        for j in range(i+1,row):\n",
    "            euclidean_distance_matrix[i,j] = euclidean_distance_matrix[j,i] = math.sqrt(sum(np.square(feature_matrix[i]-feature_matrix[j])))\n",
    "    return euclidean_distance_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def d1Distance(feature_matrix):\n",
    "    (row,col)=np.shape(feature_matrix)\n",
    "    d1_distance_matrix = np.zeros(shape=(row,row),dtype=np.double)\n",
    "    for i in range(row):\n",
    "        for j in range(i+1,row):\n",
    "            d1_distance_matrix[i,j] = d1_distance_matrix[j,i] = sum(abs((feature_matrix[i]-feature_matrix[j])/(1+feature_matrix[i]+feature_matrix[j])))\n",
    "    return d1_distance_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#temp=principalComponents\n",
    "#principalComponents=np.genfromtxt('CSV\\\\orl_faces_CoLTP2_PCA_FeatureMatrix.csv',delimiter=',',dtype=np.double)\n",
    "\n",
    "city_block_distance_matrix = cityBlockDistance(principalComponents)\n",
    "euclidean_distance_matrix = euclideanDistance(principalComponents)\n",
    "d1_distance_matrix = d1Distance(principalComponents)\n",
    "\n",
    "np.savetxt(\"CSV\\\\coltp2_pca_distance\\\\orl_faces_coltp2_pca_CityBlockDistanceMatrix.csv\",city_block_distance_matrix,fmt='%f',delimiter=\",\")\n",
    "np.savetxt(\"CSV\\\\coltp2_pca_distance\\\\orl_faces_coltp2_pca_EuclideanDistanceMatrix.csv\",euclidean_distance_matrix,fmt='%f',delimiter=\",\")\n",
    "np.savetxt(\"CSV\\\\coltp2_pca_distance\\\\orl_faces_coltp2_pca_D1DistanceMatrix.csv\",d1_distance_matrix,fmt='%f',delimiter=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 2.29363953  8.77011563  9.08731873 ...  6.33132778  6.48529155\n",
      "   7.22321096]\n",
      " [ 4.53451207 10.14194044  7.17967226 ...  6.28757144  6.68252157\n",
      "   6.81379471]\n",
      " [ 2.61441566 10.02143929  6.77749178 ...  6.03334671  5.98382337\n",
      "   7.00444426]\n",
      " ...\n",
      " [ 3.28652604  6.34520185  7.20013872 ...  6.96778356  7.13509583\n",
      "   6.76808591]\n",
      " [ 7.32786636  5.47612071  7.22851512 ...  6.79813344  6.94989516\n",
      "   6.78658987]\n",
      " [ 2.86627444  6.88470911  8.16558247 ...  6.94511691  6.64104628\n",
      "   6.78505939]]\n"
     ]
    }
   ],
   "source": [
    "print(principalComponents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def averagePrecision(distance_matrix,classes,retrive_images,relevant_images_DB):\n",
    "    \n",
    "    class_precision = [0]*classes\n",
    "    \n",
    "    i=0\n",
    "    for distmat in distance_matrix:\n",
    "        relevant_images=sum(np.floor(np.argsort(distmat)[:retrive_images]/relevant_images_DB)==math.floor(i/relevant_images_DB))\n",
    "        class_precision[math.floor(i/relevant_images_DB)]+=relevant_images/retrive_images\n",
    "        l=i\n",
    "        i=i+1;\n",
    "        if math.floor(i/relevant_images_DB)!=math.floor(l/relevant_images_DB):\n",
    "            class_precision[math.floor(l/relevant_images_DB)]/=relevant_images_DB\n",
    "            \n",
    "    class_precision*=100\n",
    "    average_precision = sum(class_precision)/classes\n",
    "    \n",
    "    return class_precision,average_precision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def averageRecall(distance_matrix,classes,retrive_images,relevant_images_DB):\n",
    "    \n",
    "    class_recall = [0]*classes\n",
    "    \n",
    "    i=0\n",
    "    for distmat in distance_matrix:\n",
    "        relevant_images=sum(np.floor(np.argsort(distmat)[:retrive_images]/relevant_images_DB)==math.floor(i/relevant_images_DB))\n",
    "        class_recall[math.floor(i/relevant_images_DB)]+=relevant_images/relevant_images_DB\n",
    "        l=i\n",
    "        i=i+1;\n",
    "        if math.floor(i/relevant_images_DB)!=math.floor(l/relevant_images_DB):\n",
    "            class_recall[math.floor(l/relevant_images_DB)]/=relevant_images_DB\n",
    "    class_recall*=100\n",
    "    average_recall = sum(class_recall)/classes\n",
    "    return class_recall,average_recall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "City Block Average Recall: 46.62500000000107%\n",
      "Euclidean Average Recall: 46.27500000000087%\n",
      "D1 Average Recall: 46.52500000000118%\n",
      "\n",
      "\n",
      "City Block Average Precision: 93.25000000000215%\n",
      "Euclidean Average Precision: 92.55000000000175%\n",
      "D1 Average Precision: 93.05000000000236%\n"
     ]
    }
   ],
   "source": [
    "classes = 40\n",
    "retrive_images = 5\n",
    "relevant_images_DB = 10\n",
    "\n",
    "city_block_class_precision,city_block_average_precision = averagePrecision(city_block_distance_matrix,classes,retrive_images,relevant_images_DB)\n",
    "city_block_class_recall,city_block_average_recall = averageRecall(city_block_distance_matrix,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "euclidean_class_precision,euclidean_average_precision = averagePrecision(euclidean_distance_matrix,classes,retrive_images,relevant_images_DB)\n",
    "euclidean_class_recall,euclidean_average_recall = averageRecall(euclidean_distance_matrix,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "d1_class_precision,d1_average_precision = averagePrecision(d1_distance_matrix,classes,retrive_images,relevant_images_DB)\n",
    "d1_class_recall,d1_average_recall = averageRecall(d1_distance_matrix,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "print('City Block Average Recall: '+str(city_block_average_recall)+'%')\n",
    "print('Euclidean Average Recall: '+str(euclidean_average_recall)+'%')\n",
    "print('D1 Average Recall: '+str(d1_average_recall)+'%')\n",
    "print('\\n\\nCity Block Average Precision: '+str(city_block_average_precision)+'%')\n",
    "print('Euclidean Average Precision: '+str(euclidean_average_precision)+'%')\n",
    "print('D1 Average Precision: '+str(d1_average_precision)+'%')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_groups = 40\n",
    " \n",
    "fig, ax = plt.subplots(figsize=(15, 5))\n",
    "\n",
    "index = np.arange(n_groups)\n",
    "bar_width = 0.25\n",
    "opacity = 0.8\n",
    " \n",
    "rects1 = plt.bar(index, city_block_class_precision[0:40], bar_width, alpha=opacity, color='b', label='City Block Distance')\n",
    "rects2 = plt.bar(index + bar_width, euclidean_class_precision[0:40], bar_width, alpha=opacity, color='y', label='Euclidean Distance')\n",
    "rects3 = plt.bar(index + 2*bar_width, d1_class_precision[0:40], bar_width, alpha=opacity, color='r', label='D1 Distance')\n",
    " \n",
    "plt.xlabel('Classes')\n",
    "plt.ylabel('Precision')\n",
    "plt.title('Class wise precisions for different distances')\n",
    "plt.xticks(index + bar_width, range(1,41))\n",
    "plt.legend(loc=9,bbox_to_anchor=(0.5, -0.2))\n",
    " \n",
    "plt.tight_layout()\n",
    "plt.savefig(\"Assets\\\\CLASS_WISE_PRECISION.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_groups = 40\n",
    " \n",
    "fig, ax = plt.subplots(figsize=(15, 5))\n",
    "\n",
    "index = np.arange(n_groups)\n",
    "bar_width = 0.25\n",
    "opacity = 0.8\n",
    " \n",
    "rects1 = plt.bar(index, city_block_class_recall[0:40], bar_width, alpha=opacity, color='b', label='City Block Distance')\n",
    "rects2 = plt.bar(index + bar_width, euclidean_class_recall[0:40], bar_width, alpha=opacity, color='y', label='Euclidean Distance')\n",
    "rects3 = plt.bar(index + 2*bar_width, d1_class_recall[0:40], bar_width, alpha=opacity, color='r', label='D1 Distance')\n",
    " \n",
    "plt.xlabel('Classes')\n",
    "plt.ylabel('Recall')\n",
    "plt.title('Class wise recall rate for different distances')\n",
    "plt.xticks(index + bar_width, range(1,41))\n",
    "plt.legend(loc=9,bbox_to_anchor=(0.5, -0.2))\n",
    " \n",
    "plt.tight_layout()\n",
    "plt.savefig('Assets\\\\CLASS_WISE_RECALL.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "distances = ('City Block','Euclidean','D1')\n",
    "y_pos = np.arange(len(distances))\n",
    "average_precisions = [city_block_average_precision,euclidean_average_precision,d1_average_precision]\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.bar(y_pos, average_precisions,0.2 ,align='center')\n",
    "plt.xticks(y_pos, distances)\n",
    "plt.ylabel('Average Precision')\n",
    "plt.title('Comparision of average precisions using different distance formulae')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Assets\\\\AVERAGE_PRECISION.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "average_recalls = [city_block_average_recall,euclidean_average_recall,d1_average_recall]\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.bar(y_pos, average_recalls,0.2 ,align='center')\n",
    "plt.xticks(y_pos, distances)\n",
    "plt.ylabel('Average Recall Rate')\n",
    "plt.title('Comparision of average recall rate using different distance formulae')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Assets\\\\AVERAGE_RECALL_RATE.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "city_block_average_precisions = []\n",
    "city_block_average_recalls = []\n",
    "euclidean_average_precisions = []\n",
    "euclidean_average_recalls = []\n",
    "d1_average_precisions = []\n",
    "d1_average_recalls = []\n",
    "for retrive_images in range(1,11):\n",
    "    city_block_average_precisions.append(averagePrecision(city_block_distance_matrix,classes,retrive_images,relevant_images_DB)[1])\n",
    "    city_block_average_recalls.append(averageRecall(city_block_distance_matrix,classes,retrive_images,relevant_images_DB)[1])\n",
    "    euclidean_average_precisions.append(averagePrecision(euclidean_distance_matrix,classes,retrive_images,relevant_images_DB)[1])\n",
    "    euclidean_average_recalls.append(averageRecall(euclidean_distance_matrix,classes,retrive_images,relevant_images_DB)[1])\n",
    "    d1_average_precisions.append(averagePrecision(d1_distance_matrix,classes,retrive_images,relevant_images_DB)[1])\n",
    "    d1_average_recalls.append(averageRecall(d1_distance_matrix,classes,retrive_images,relevant_images_DB)[1])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,8))\n",
    "gs=GridSpec(1,2)\n",
    "index = range(1,11)\n",
    "ax1=fig.add_subplot(gs[0,0])\n",
    "ax2=fig.add_subplot(gs[0,1])\n",
    "\n",
    "ax1.plot(index,city_block_average_precisions,'-g.',label='City Block')\n",
    "ax1.plot(index,euclidean_average_precisions,'-r.',label='Euclidean')\n",
    "ax1.plot(index,d1_average_precisions,'-b.',label='D1')\n",
    "ax1.set_xlabel('Number of retrive images')\n",
    "ax1.set_ylabel('Precision')\n",
    "ax1.set_title('Average Precision for different numbers of retrival images')\n",
    "ax1.set_xticks(range(1,11))\n",
    "ax1.set_yticks(np.arange(math.floor(min(min(d1_average_precisions),min(euclidean_average_precisions),min(city_block_average_precisions))), max(max(d1_average_precisions),max(euclidean_average_precisions),max(city_block_average_precisions))+1, 5.0))\n",
    "ax1.grid()\n",
    "ax1.legend()\n",
    "\n",
    "ax2.plot(index,city_block_average_recalls,'-g.',label='City Block')\n",
    "ax2.plot(index,euclidean_average_recalls,'-r.',label='Euclidean')\n",
    "ax2.plot(index,d1_average_recalls,'-b.',label='D1')\n",
    "ax2.set_xlabel('Number of retrive images')\n",
    "ax2.set_ylabel('Recall Rate')\n",
    "ax2.set_title('Average Recall Rate for different numbers of retrival images')\n",
    "ax2.set_xticks(range(1,11))\n",
    "ax2.set_yticks(np.arange(math.floor(min(min(d1_average_recalls),min(euclidean_average_recalls),min(city_block_average_recalls))), max(max(d1_average_recalls),max(euclidean_average_recalls),max(city_block_average_recalls))+1, 5.0))\n",
    "ax2.grid()\n",
    "ax2.legend()\n",
    "plt.savefig('Assets\\\\RETRIVAL PLOT.png')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter an image: (0-399):45\n"
     ]
    }
   ],
   "source": [
    "query=int(input(\"Enter an image: (0-399):\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "User Given Image:-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Supreet\\Anaconda3\\lib\\site-packages\\matplotlib\\figure.py:445: UserWarning: Matplotlib is currently using module://ipykernel.pylab.backend_inline, which is a non-GUI backend, so cannot show the figure.\n",
      "  % get_backend())\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "queryclass=math.floor(query/10)\n",
    "queryimg=query%10\n",
    "queryimage=io.imread(\"orl_faces\\\\s\"+str(queryclass+1).zfill(2)+\"\\\\\"+str(queryimg)+\".pgm\")\n",
    "\n",
    "query_coltp2_pca_feature=CoLTP2_feature_vector(queryimage)\n",
    "query_coltp2_pca_feature=np.array(query_coltp2_pca_feature,dtype=np.double)\n",
    "\n",
    "principalComponents=np.array(principalComponents,dtype=np.double)\n",
    "#param=np.genfromtxt(\"Models\\\\max_min_param.csv\",delimiter=',',dtype=np.double)\n",
    "scaler_filename=\"Models\\\\coltp2_pca\\\\StandardScaler\\\\scaler.save\"\n",
    "pca_filename=\"Models\\\\coltp2_pca\\\\PCA\\\\pca.save\"\n",
    "scaler = joblib.load(scaler_filename)\n",
    "pca = joblib.load(pca_filename)\n",
    "\n",
    "query_coltp2_pca_pc=pca.transform(scaler.transform(query_coltp2_pca_feature.reshape(1, -1)))\n",
    "query_coltp2_pca_pc=(query_coltp2_pca_pc-param[0])*(16/(param[1]-param[0]))\n",
    "\n",
    "distance_matrix_city_block=np.zeros(shape=(principalComponents.shape[0]),dtype=np.double)\n",
    "for i in range(principalComponents.shape[0]):\n",
    "    distance_matrix_city_block[i]=sum(np.abs(query_coltp2_pca_pc[0]-principalComponents[i]))\n",
    "\n",
    "best=8\n",
    "bestimgs=np.argsort(distance_matrix_city_block)[:best]\n",
    "classes=np.floor(bestimgs/10).astype(np.intc)+1\n",
    "imgs=bestimgs%10\n",
    "\n",
    "retrieve_images=[]\n",
    "for i in range(best):\n",
    "    image=io.imread(\"orl_faces\\\\s\"+str(classes[i]).zfill(2)+\"\\\\\"+str(imgs[i])+\".pgm\")\n",
    "    retrieve_images.append(image)\n",
    "    \n",
    "print(\"User Given Image:-\")\n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "gs=GridSpec(int(math.floor(best/4))+1,4)\n",
    "\n",
    "ax1=fig.add_subplot(gs[0,:])\n",
    "ax1.imshow(queryimage,cmap='gray')\n",
    "ax1.set_yticklabels([])\n",
    "ax1.set_xticklabels([])\n",
    "\n",
    "for i in range(best):\n",
    "    ax=fig.add_subplot(gs[math.floor(i/4)+1,i%4])\n",
    "    ax.imshow(retrieve_images[i],cmap='gray')\n",
    "    ax.set_yticklabels([])\n",
    "    ax.set_xticklabels([])\n",
    "fig.savefig(\"Assets\\\\Retriving.png\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}