Performance_Evaluation.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",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "lbp=np.genfromtxt('CSV\\\\lbp_distance\\\\orl_faces_lbp_CityBlockDistanceMatrix.csv',delimiter=',',dtype=np.float)\n",
    "ltp=np.genfromtxt('CSV\\\\ltp_distance\\\\orl_faces_ltp_CityBlockDistanceMatrix.csv',delimiter=',',dtype=np.float)\n",
    "sltp=np.genfromtxt('CSV\\\\sltp_distance\\\\orl_faces_sltp_CityBlockDistanceMatrix.csv',delimiter=',',dtype=np.float)\n",
    "sltp2=np.genfromtxt('CSV\\\\sltp2_distance\\\\orl_faces_sltp2_CityBlockDistanceMatrix.csv',delimiter=',',dtype=np.float)\n",
    "coltp=np.genfromtxt('CSV\\\\coltp_distance\\\\orl_faces_coltp_CityBlockDistanceMatrix.csv',delimiter=',',dtype=np.float)\n",
    "coltp2=np.genfromtxt('CSV\\\\coltp2_distance\\\\orl_faces_coltp2_CityBlockDistanceMatrix.csv',delimiter=',',dtype=np.float)\n",
    "coltp_lbp=np.genfromtxt('CSV\\\\coltp_lbp_distance\\\\orl_faces_coltp_lbp_CityBlockDistanceMatrix.csv',delimiter=',',dtype=np.float)\n",
    "coltp2_pca=np.genfromtxt('CSV\\\\coltp2_pca_distance\\\\orl_faces_coltp2_pca_CityBlockDistanceMatrix.csv',delimiter=',',dtype=np.float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": 4,
   "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": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lbp City Block Average Precision: 81.50000000000118%\n",
      "lbp City Block Average Recall: 40.75000000000059%\n",
      "ltp City Block Average Precision: 85.80000000000271%\n",
      "ltp City Block Average Recall: 42.900000000001356%\n",
      "sltp City Block Average Precision: 77.79999999999953%\n",
      "sltp City Block Average Recall: 38.899999999999764%\n",
      "sltp2 City Block Average Precision: 79.80000000000038%\n",
      "sltp2 City Block Average Recall: 39.90000000000019%\n",
      "coltp City Block Average Precision: 90.4500000000018%\n",
      "coltp City Block Average Recall: 45.2250000000009%\n",
      "coltp2 City Block Average Precision: 90.80000000000214%\n",
      "coltp2 City Block Average Recall: 45.40000000000107%\n",
      "coltp_lbp City Block Average Precision: 90.650000000002%\n",
      "coltp_lbp City Block Average Recall: 45.325000000001%\n",
      "coltp2_pca City Block Average Precision: 93.20000000000219%\n",
      "coltp2_pca City Block Average Recall: 46.600000000001096%\n"
     ]
    }
   ],
   "source": [
    "classes = 40\n",
    "retrive_images = 5\n",
    "relevant_images_DB = 10\n",
    "\n",
    "lbp_city_block_class_precision,lbp_city_block_average_precision = averagePrecision(lbp,classes,retrive_images,relevant_images_DB)\n",
    "lbp_city_block_class_recall,lbp_city_block_average_recall = averageRecall(lbp,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "ltp_city_block_class_precision,ltp_city_block_average_precision = averagePrecision(ltp,classes,retrive_images,relevant_images_DB)\n",
    "ltp_city_block_class_recall,ltp_city_block_average_recall = averageRecall(ltp,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "sltp_city_block_class_precision,sltp_city_block_average_precision = averagePrecision(sltp,classes,retrive_images,relevant_images_DB)\n",
    "sltp_city_block_class_recall,sltp_city_block_average_recall = averageRecall(sltp,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "sltp2_city_block_class_precision,sltp2_city_block_average_precision = averagePrecision(sltp2,classes,retrive_images,relevant_images_DB)\n",
    "sltp2_city_block_class_recall,sltp2_city_block_average_recall = averageRecall(sltp2,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "coltp_city_block_class_precision,coltp_city_block_average_precision = averagePrecision(coltp,classes,retrive_images,relevant_images_DB)\n",
    "coltp_city_block_class_recall,coltp_city_block_average_recall = averageRecall(coltp,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "coltp2_city_block_class_precision,coltp2_city_block_average_precision = averagePrecision(coltp2,classes,retrive_images,relevant_images_DB)\n",
    "coltp2_city_block_class_recall,coltp2_city_block_average_recall = averageRecall(coltp2,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "coltp_lbp_city_block_class_precision,coltp_lbp_city_block_average_precision = averagePrecision(coltp_lbp,classes,retrive_images,relevant_images_DB)\n",
    "coltp_lbp_city_block_class_recall,coltp_lbp_city_block_average_recall = averageRecall(coltp_lbp,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "coltp2_pca_city_block_class_precision,coltp2_pca_city_block_average_precision = averagePrecision(coltp2_pca,classes,retrive_images,relevant_images_DB)\n",
    "coltp2_pca_city_block_class_recall,coltp2_pca_city_block_average_recall = averageRecall(coltp2_pca,classes,retrive_images,relevant_images_DB)\n",
    "\n",
    "print('lbp City Block Average Precision: '+str(lbp_city_block_average_precision)+'%')\n",
    "print('lbp City Block Average Recall: '+str(lbp_city_block_average_recall)+'%')\n",
    "\n",
    "print('ltp City Block Average Precision: '+str(ltp_city_block_average_precision)+'%')\n",
    "print('ltp City Block Average Recall: '+str(ltp_city_block_average_recall)+'%')\n",
    "\n",
    "print('sltp City Block Average Precision: '+str(sltp_city_block_average_precision)+'%')\n",
    "print('sltp City Block Average Recall: '+str(sltp_city_block_average_recall)+'%')\n",
    "\n",
    "print('sltp2 City Block Average Precision: '+str(sltp2_city_block_average_precision)+'%')\n",
    "print('sltp2 City Block Average Recall: '+str(sltp2_city_block_average_recall)+'%')\n",
    "\n",
    "print('coltp City Block Average Precision: '+str(coltp_city_block_average_precision)+'%')\n",
    "print('coltp City Block Average Recall: '+str(coltp_city_block_average_recall)+'%')\n",
    "\n",
    "print('coltp2 City Block Average Precision: '+str(coltp2_city_block_average_precision)+'%')\n",
    "print('coltp2 City Block Average Recall: '+str(coltp2_city_block_average_recall)+'%')\n",
    "\n",
    "print('coltp_lbp City Block Average Precision: '+str(coltp_lbp_city_block_average_precision)+'%')\n",
    "print('coltp_lbp City Block Average Recall: '+str(coltp_lbp_city_block_average_recall)+'%')\n",
    "\n",
    "print('coltp2_pca City Block Average Precision: '+str(coltp2_pca_city_block_average_precision)+'%')\n",
    "print('coltp2_pca City Block Average Recall: '+str(coltp2_pca_city_block_average_recall)+'%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = ('LBP','LTP','SLTP','SLTP2','COLTP','COLTP2','COLTP_LBP','COLTP2_PCA')\n",
    "y_pos = np.arange(len(features))\n",
    "average_precisions = [lbp_city_block_average_precision,ltp_city_block_average_precision,sltp_city_block_average_precision,sltp2_city_block_average_precision,coltp_city_block_average_precision,coltp2_city_block_average_precision,coltp_lbp_city_block_average_precision,coltp2_pca_city_block_average_precision]\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.bar(y_pos, average_precisions,0.6 ,align='center')\n",
    "plt.xticks(y_pos, features)\n",
    "plt.ylabel('Average Precision')\n",
    "plt.title('Comparision of average precisions using different features')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1Vky7gOVs5ZEfn3YJS3beMQdNuwRJkqT1kj3IkiRJUmfsATnJxkm+keRjbfhOSb6W5Jwk702y6bhrkCRJkkY1iR7k5wJndcOvBl5fVbsBlwGHT6AGSZIkaSRjDchJdgQOAt7ehgPsB3ygzfJO4DHjrEGSJElajHH3IL8B+HPgl2349sDlVXV9G74A2GGuBZM8I8nJSU5evXr1mMuUJEmSBmO7i0WSRwI/rapTkuw7M3qOWWuu5avqWOBYgL322mvOeSSptz7feQa8+4wkLRfjvM3b7wCPTnIgsDlwa4Ye5a2SrGi9yDsCF46xBkmSJGlRxnaKRVX9RVXtWFUrgScAJ1bVk4HPAYe02Q4FPjKuGiRJkqTFmsZ9kF8MvCDJdxnOSX7HFGqQJEmS5jSRb9KrqpOAk9rz7wF7T2K7kiRJ0mL5TXqSJElSZyI9yJJG550YJEmaLnuQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqTO2AJyks2T/G+SbyY5I8nL2/g7JflaknOSvDfJpuOqQZIkSVqscfYgXwvsV1X3BPYEDkiyD/Bq4PVVtRtwGXD4GGuQJEmSFmXFfBOS3HuhBavq1DVML+CqNrhJexSwH/CkNv6dwFHAm0crV5IkSRqveQMy8NoFps0E3QUl2Rg4BdgVeBNwLnB5VV3fZrkA2GGeZZ8BPANg5513XtOmJEmSpHVi3oBcVQ9Z25VX1Q3Ankm2Aj4E/OZcs82z7LHAsQB77bXXnPNIkiRJ69pCp1g8dqEFq+qDo26kqi5PchKwD7BVkhWtF3lH4MJR1yNJkiSN20KnWDxqgWkFLBiQk2wDXNfC8RbAQxku0PsccAhwPHAo8JFFVSxJkiSN0UKnWDx1Lde9HfDOdh7yRsD7qupjSc4Ejk9yNPAN4B1ruR1JkiRpnVmoB/lXkhwE7AFsPjOuql6x0DJVdRpwrznGfw/Ye3FlSpIkSZOxxvsgJ3kL8Hjgz4AAjwN2GXNdkiRJ0lSM8kUh96+qPwIuq6qXA/cDdhpvWZIkSdJ0jBKQf9F+/jzJ9sB1wJ3GV5IkSZI0PaOcg/yxdh/j1wCnMtzB4u1jrUqSJEmakjUG5Kp6ZXv6n0k+BmxeVT8bb1mSJEnSdIxykd4RrQeZqroW2CjJn469MkmSJGkKRjkH+elVdfnMQFVdBjx9fCVJkiRJ0zNKQN4oSWYG2hd/bDq+kiRJkqTpGeUivU8D72v3Qy7gWcCnxlqVJEmSNCWjBOQXA88E/oThi0I+g3exkCRJ0gZqlLtY/DLJccCJVXX2+EuSJEmSpmeUu1g8GlhFO60iyZ5JPjruwiRJkqRpGOUivZcBewOXA1TVKmDlGGuSJEmSpmaUgHy9XwwiSZKkm4tRLtL7VpInARsn2Q14DvDl8ZYlSZIkTccoPch/BuwBXAu8G7gCeN44i5IkSZKmZZS7WPwc+Mv2ACDJLsAPxliXJEmSNBUL9iAnuV+SQ5LcoQ3fI8m7gS9OpDpJkiRpwuYNyEleA/wL8PvAx5O8DDgB+Bqw22TKkyRJkiZroVMsDgLuVVXXJLktcCFwj6o6ZzKlSZIkSZO30CkWv6iqawCq6jLgbMOxJEmSNnQL9SDfZdY35q3sh6vq0eMrS5IkSZqOhQLywbOGXzvOQiRJkqTlYN6AXFWfn2QhkiRJ0nIwyheFSJIkSTcbBmRJkiSpM3JATrLlOAuRJEmSloM1BuQk909yJnBWG75nkn8ee2WSJEnSFIzSg/x64OHAJQBV9U3gQeMsSpIkSZqWkU6xqKrzZ426YQy1SJIkSVO30H2QZ5yf5P5AJdkUeA7tdAtJkiRpQzNKD/KzgCOAHYALgD3bsCRJkrTBWWMPclVdDDx5ArVIkiRJU7fGgJzkH+cY/TPg5Kr6yLovSZIkSZqeUU6x2JzhtIpz2uMewO2Aw5O8YYy1SZIkSRM3ykV6uwL7VdX1AEneDHwG2B84fYy1SZIkSRM3Sg/yDkD/LXpbAttX1Q3AtWOpSpIkSZqSUXqQ/w5YleQkIAxfEvI37aun/3uMtUmSJEkTN8pdLN6R5BPA3gwB+SVVdWGb/KJxFidJkiRN2kjfpAdcA1wEXArsmsSvmpYkSdIGaZTbvD0NeC6wI7AK2Af4CrDfeEuTJEmSJm+UHuTnAvcBflBVDwHuBawea1WSJEnSlIwSkK+pqmsAkmxWVd8Gdh9vWZIkSdJ0jHIXiwuSbAV8GDghyWXAhWtYRpIkSVovjXIXi99rT49K8jngNsCnxlqVJEmSNCULBuQkGwGnVdXdAarq8xOpSpIkSZqSBc9BrqpfAt9MsvOE6pEkSZKmapRzkLcDzkjyv8DVMyOr6tFjq0qSJEmaklEC8svHXoUkSZK0TIxykd7nk+wC7FZV/53kFsDG4y9NkiRJmrw13gc5ydOBDwBvbaN2YLjlmyRJkrTBGeWLQo4Afge4AqCqzgHuMM6iJEmSpGkZJSBfW1X/NzOQZAVQ4ytJkiRJmp5RAvLnk7wE2CLJ/sD7gf9a00JJdkryuSRnJTkjyXPb+NslOSHJOe3nbdfuJUiSJEnrzigB+UhgNXA68EzgE8BfjbDc9cD/q6rfBPYBjkhyt7a+z1bVbsBn27AkSZK0LIxym7eDgX+rqrctZsVVdRFwUXt+ZZKzGC7wOxjYt832TuAk4MWLWbckSZI0LqP0ID8a+E6Sf09yUDsHeVGSrATuBXwN2LaF55kQPecFf0mekeTkJCevXr16sZuUJEmSlmSNAbmqngrsynDu8ZOAc5O8fdQNJLkl8J/A86rqilGXq6pjq2qvqtprm222GXUxSZIkaa2M0oNMVV0HfBI4HjiF4TSJNUqyCUM4fldVfbCN/kmS7dr07YCfLrZoSZIkaVxG+aKQA5IcB3wXOAR4O7DdCMsFeAdwVlW9rpv0UeDQ9vxQ4COLrFmSJEkam1HOJz6Moef4mVV17SLW/TvAU4DTk6xq414CHAO8L8nhwA+Bxy1inZIkSdJYrTEgV9UT+uEkvwM8qaqOWMNyXwQyz+TfHblCSZIkaYJGuiNFkj0ZLtD7A+D7wAcXXkKSJElaP80bkJPcFXgC8ETgEuC9QKrqIROqTZIkSZq4hXqQvw38D/CoqvouQJLnT6QqSZIkaUoWuovF7wM/Bj6X5G1Jfpf5zymWJEmSNgjzBuSq+lBVPR74DYavg34+sG2SNyd52ITqkyRJkiZqlG/Su7qq3lVVjwR2BFYBR469MkmSJGkKRvomvRlVdWlVvbWq9htXQZIkSdI0LSogS5IkSRs6A7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1BlbQE7yL0l+muRb3bjbJTkhyTnt523HtX1JkiRpKcbZg3wccMCscUcCn62q3YDPtmFJkiRp2RhbQK6qLwCXzhp9MPDO9vydwGPGtX1JkiRpKSZ9DvK2VXURQPt5hwlvX5IkSVrQsr1IL8kzkpyc5OTVq1dPuxxJkiTdTEw6IP8kyXYA7edP55uxqo6tqr2qaq9tttlmYgVKkiTp5m3SAfmjwKHt+aHARya8fUmSJGlB47zN23uArwC7J7kgyeHAMcD+Sc4B9m/DkiRJ0rKxYlwrrqonzjPpd8e1TUmSJGltLduL9CRJkqRpMCBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEmdqQTkJAckOTvJd5McOY0aJEmSpLlMPCAn2Rh4E/AI4G7AE5PcbdJ1SJIkSXOZRg/y3sB3q+p7VfV/wPHAwVOoQ5IkSbqJVNVkN5gcAhxQVU9rw08B7ltVz5413zOAZ7TB3YGzJ1roZGwNXDztItZTtt3S2XZLZ9stnW23dLbd0tl2S7ehtt0uVbXNmmZaMYlKZskc426S0qvqWODY8ZczPUlOrqq9pl3H+si2Wzrbbulsu6Wz7ZbOtls6227pbu5tN41TLC4AduqGdwQunEIdkiRJ0k1MIyB/HdgtyZ2SbAo8AfjoFOqQJEmSbmLip1hU1fVJng18GtgY+JeqOmPSdSwTG/QpJGNm2y2dbbd0tt3S2XZLZ9stnW23dDfrtpv4RXqSJEnScuY36UmSJEkdA7IkSZLUMSCPSZKr5hh3VJIfJVmV5NtJ3pxkozbtuCTfb9NOTXK/yVe9fMxuvyQvbW2zKskN3fMjkhzdtevpSQ6aVt3TlOQvk5yR5LTWFvdNclKSvbp5Duza7qr2le+rkvxrkocm+VkbPivJX07z9YzTuNoqyQHt9/f0JKck2XdqL3IMktwxyfFJzk1yZpJPJLlrkj2SnJjkO0nOSfLXSdKWOSzJG2et5+TWdj9Msrpr552SXNDa77Qkn0pyh+m82rU3rfZKcqu2rbPbfv6q6bSAtB6rKh9jeABXzTHuKOCF7flGwBeBh7Th44BD2vOHAadN+zUst/Zr41cAl88adzTwvPb87sBq2vn1N5cHcD/gK8BmbXhrYHvgJGCveZb5IrBnN/xQ4MPt+S2B7wH3nPZrW5/aCrg3sF0bf0/g/Gm/3nXYbmnt9qxu3J7AA4FzgYe1cbcAPgkc0YYPA944zzqfBrxh1rgLgK3a878DXjft176+tVfbJx/cxm0GfBnYf9ptMqvuOzJ8k+65wJnAJ4C7AnsAJwLfAc4B/ppfXy91k7YBTgZWAT9sf/tXtcdOrW1OB04DPgXcYYF6ftWOs9p7Zp1nAO8DtmjTjgZ+1KadDhy0obUVcKu2rbPb63/VGuqct01aPd9q6zkDeH43bVPgUuCV094v+4c9yNOzKbA5cNkc074A7DrZcjYMVfUthn9Mt512LRO2HXBxVV0LUFUXV9WS7y9eVVcBpwJ3WUf1LSdja6uqOrWqLmqTTgdumWRmlZv7AAAE8klEQVSTta54eXgIcF1VvWVmRFWtYvhH/aWq+kwb93Pg2cCR62Cb6/Pfwqm1V1VdVVWfb+u/FvgGw3cOLAutt/xDwElVdZequhvwEmBbhtu+HlNVd2X4kHl/4E/nW1dV7VVVewKvAN5VVXu2x/ltlgdW1T0Ygt9S2nhmnXu04UO6aa9p234icNzMUYB1acptVcCrq2p3hg//D0my/xpKvkmbJHkkwz7+0NaOewFXdsscwBD8Hz9qu0yCAXnynp9kFXAR8J32B3O2RzH8c9UiJbk/cE1VXTrtWibsM8BO7ZDtPyd58NqsLMk2wN4Mn/Q3NJNqqz8AvlZV163N+peRuwOnzDF+j9njq+pchg8Ht17qxloweCTr79/CZdFeSW4LHMjQ07hcrHcftpKsYOjtv0mn1pg7ZtbLD1qz2uQlwAuq6sdt2i+q6u3d7E9kOPLxkyT3WQf1rxMG5Ml7fft0dQdgyyRP6Ka9poXnZwCHT6W69deLWtu9mmX2KXQSWi/mbzPsO6uB9yY5bAmrekiSbzAcYntlVZ297qpcHibRVkl+i+Fw45+sfcXLXhh6muay1PuI/g/DYdotGH6nNyQTa6929OK9wGur6gdLXPc4LIsPDyN6cvvfciGwJcMpB7PXP86OmWXRVov9oDWrTW5SazfflsCDGdr1PQxheVmY+BeFaFBV1yX5FPAghnOLAF5UVR+YYlnrs9dU1RumXcQ0VdUNDOfRnpTkdODQJazmc1X1mHVa2DI0zrZKsjPwQeAPq+r7a1Xo8nIGNz683I9/UD8iyZ0ZriO4colHnR9YVZcvZcFlZKrt1YLOO4BvVdUb515s2RnXh4dfMnyAWMqHrXdV1fMyXFD/ZuAFwN+3aS9qH66vZPIdMxNrq0V+0FpsmzwaOKGqrknyfuDkJC+sql8u5QWsS/YgT0n743V/hpPupbWSZPcku3Wj9gSWU4/RsjHOtmq9LB9nuBj3q+tincvIicBmSZ4+M6IdDj0HeECSh7ZxWwD/yHDB2M3ZtNvrbxmuc3nhOl7vunAGw1Gcucbv1Y/oPzwscVsPrKp7VtWhVXXFEtdBC2wf48Yfbl7TzuF9YFV9aanrXoOpttUSPmjN1SZnzvMaYOgxPiDJecDXGY6uP2ieeSfKgDw+t2i335l5vKCNnzkH+VsMPfj/PL0Sl7X52k9zuyXwzgy3kjoNuBvDXVMAPt614/unVuHyMc62ei5wJ+Dl3a24br9uyp6uqirg94D9M9y27AyGdrsQOBj4qyRnMxya/TrQ/zM9bNbv87K5YGxcptleSVYCL2Y4PH9q2w+furavaR2a9oeHpXoAk+/UmnZbrYsPWn8L/H2SbQGSbJ7kz1qHwn2BHatqZVWtBJ7DMjnNwq+aliRJE5Vke+ANDD2L1wDnAc9jCGP/xHC3mY2BfwdeUVXVDt2/EehPJ9mnqi5I8jTg7lX1vG4bF7Rxazxdp83bn7bwbobbp/0tw63LNmY40nRYVV2c5GiGu+GM/dS+abVV+6D1feAs4P/a6H+oqn+dp8552yTJ4Qynp8DQxm8Drgb2rao/7ObbhqF3fIdpX+BsQJYkSZI6nmIhSZIkdbyLhSRJullIcjI3zT5Pqqozp1HP+ijJS4HHzhp9fFUdM416xsVTLCRJkqSOp1hIkiRJHQOyJEmS1DEgS5IkSR0DsiRJktT5/xeO/BY7qTU2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = ('LBP','LTP','SLTP','SLTP2','COLTP','COLTP2','COLTP_LBP','COLTP2_PCA')\n",
    "y_pos = np.arange(len(features))\n",
    "average_recalls = [lbp_city_block_average_recall,ltp_city_block_average_recall,sltp_city_block_average_recall,sltp2_city_block_average_recall,coltp_city_block_average_recall,coltp2_city_block_average_recall,coltp_lbp_city_block_average_recall,coltp2_pca_city_block_average_recall]\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.bar(y_pos, average_recalls,0.6 ,align='center')\n",
    "plt.xticks(y_pos, features)\n",
    "plt.ylabel('Average Recall')\n",
    "plt.title('Comparision of average recalls using different features')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "lbp_city_block_average_precisions = []\n",
    "lbp_city_block_average_recalls = []\n",
    "\n",
    "ltp_city_block_average_precisions = []\n",
    "ltp_city_block_average_recalls = []\n",
    "\n",
    "sltp_city_block_average_precisions = []\n",
    "sltp_city_block_average_recalls = []\n",
    "\n",
    "sltp2_city_block_average_precisions = []\n",
    "sltp2_city_block_average_recalls = []\n",
    "\n",
    "coltp_city_block_average_precisions = []\n",
    "coltp_city_block_average_recalls = []\n",
    "\n",
    "coltp2_city_block_average_precisions = []\n",
    "coltp2_city_block_average_recalls = []\n",
    "\n",
    "coltp_lbp_city_block_average_precisions = []\n",
    "coltp_lbp_city_block_average_recalls = []\n",
    "\n",
    "coltp2_pca_city_block_average_precisions = []\n",
    "coltp2_pca_city_block_average_recalls = []\n",
    "\n",
    "for retrive_images in range(1,11):\n",
    "    lbp_city_block_average_precisions.append(averagePrecision(lbp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    lbp_city_block_average_recalls.append(averageRecall(lbp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    \n",
    "    ltp_city_block_average_precisions.append(averagePrecision(ltp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    ltp_city_block_average_recalls.append(averageRecall(ltp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    \n",
    "    sltp_city_block_average_precisions.append(averagePrecision(sltp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    sltp_city_block_average_recalls.append(averageRecall(sltp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    \n",
    "    sltp2_city_block_average_precisions.append(averagePrecision(sltp2,classes,retrive_images,relevant_images_DB)[1])\n",
    "    sltp2_city_block_average_recalls.append(averageRecall(sltp2,classes,retrive_images,relevant_images_DB)[1])\n",
    "     \n",
    "    coltp_city_block_average_precisions.append(averagePrecision(coltp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    coltp_city_block_average_recalls.append(averageRecall(coltp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    \n",
    "    coltp2_city_block_average_precisions.append(averagePrecision(coltp2,classes,retrive_images,relevant_images_DB)[1])\n",
    "    coltp2_city_block_average_recalls.append(averageRecall(coltp2,classes,retrive_images,relevant_images_DB)[1])\n",
    "    \n",
    "    coltp_lbp_city_block_average_precisions.append(averagePrecision(coltp_lbp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    coltp_lbp_city_block_average_recalls.append(averageRecall(coltp_lbp,classes,retrive_images,relevant_images_DB)[1])\n",
    "    \n",
    "    coltp2_pca_city_block_average_precisions.append(averagePrecision(coltp2_pca,classes,retrive_images,relevant_images_DB)[1])\n",
    "    coltp2_pca_city_block_average_recalls.append(averageRecall(coltp2_pca,classes,retrive_images,relevant_images_DB)[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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,lbp_city_block_average_precisions,'-g.',label='LBP')\n",
    "ax1.plot(index,ltp_city_block_average_precisions,'-b.',label='LTP')\n",
    "ax1.plot(index,sltp_city_block_average_precisions,'-r^',label='SLTP')\n",
    "ax1.plot(index,sltp2_city_block_average_precisions,'-r.',label='SLTP2')\n",
    "ax1.plot(index,coltp_city_block_average_precisions,'-m^',label='COLTP')\n",
    "ax1.plot(index,coltp2_city_block_average_precisions,'-m.',label='COLTP2')\n",
    "ax1.plot(index,coltp_lbp_city_block_average_precisions,'-c.',label='COLTP_LBP')\n",
    "ax1.plot(index,coltp2_pca_city_block_average_precisions,'-k.',label='COLTP2_PCA')\n",
    "\n",
    "avgprecisions=np.array([lbp_city_block_average_precisions,ltp_city_block_average_precisions,sltp_city_block_average_precisions,sltp2_city_block_average_precisions,coltp_city_block_average_precisions,coltp2_city_block_average_precisions,coltp_lbp_city_block_average_precisions,coltp2_pca_city_block_average_precisions])\n",
    "\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(avgprecisions.min())-1,math.ceil(avgprecisions.max())+1, 5.0))\n",
    "ax1.grid()\n",
    "ax1.legend()\n",
    "\n",
    "ax2.plot(index,lbp_city_block_average_recalls,'-g.',label='LBP')\n",
    "ax2.plot(index,ltp_city_block_average_recalls,'-b.',label='LTP')\n",
    "ax2.plot(index,sltp_city_block_average_recalls,'-r^',label='SLTP')\n",
    "ax2.plot(index,sltp2_city_block_average_recalls,'-r.',label='SLTP2')\n",
    "ax2.plot(index,coltp_city_block_average_recalls,'-m^',label='COLTP')\n",
    "ax2.plot(index,coltp2_city_block_average_recalls,'-m.',label='COLTP2')\n",
    "ax2.plot(index,coltp_lbp_city_block_average_recalls,'-c.',label='COLTP_LBP')\n",
    "ax2.plot(index,coltp2_pca_city_block_average_recalls,'-k.',label='COLTP2_PCA')\n",
    "\n",
    "avgrecalls=np.array([lbp_city_block_average_recalls,ltp_city_block_average_recalls,sltp_city_block_average_recalls,sltp2_city_block_average_recalls,coltp_city_block_average_recalls,coltp2_city_block_average_recalls,coltp_lbp_city_block_average_recalls,coltp2_pca_city_block_average_recalls])\n",
    "\n",
    "ax2.set_xlabel('Number of retrive images')\n",
    "ax2.set_ylabel('Recall')\n",
    "ax2.set_title('Average Recall for different numbers of retrival images')\n",
    "ax2.set_xticks(range(1,11))\n",
    "ax2.set_yticks(np.arange(math.floor(avgrecalls.min())-1,math.ceil(avgrecalls.max())+1,5.0))\n",
    "ax2.grid()\n",
    "ax2.legend()\n",
    "plt.savefig(\"Assets\\\\RETRIVAL PLOT FEATURE WISE.png\")\n",
    "\n",
    "plt.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
}