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Author: KrishkarPackt

Chapter01/Chapter1_hamming_distance.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from PIL import Image\n",
+    "import numpy as np\n",
+    "import cv2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#pip install ImageHash (you need to do that in your Terminal)\n",
+    "import imagehash\n",
+    "#import scipy.spatial\n",
+    "from scipy.spatial import distance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "9a86372888939fbd ffe090a9c116dd32 e4eaabec9c919093\n"
+     ]
+    }
+   ],
+   "source": [
+    "hash1 = imagehash.phash(Image.open('car1.png'))\n",
+    "hash2 = imagehash.phash(Image.open('car2.png'))\n",
+    "hash3 = imagehash.phash(Image.open('car3.png'))\n",
+    "print (hash1, hash2, hash3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "9a86372888939fbd ffe090a9c116dd32 e4eaabec9c919093\n"
+     ]
+    }
+   ],
+   "source": [
+    "hs1 = str(hash1)\n",
+    "hs2 = str(hash2)\n",
+    "hs3 = str(hash3)\n",
+    "print (hs1, hs2, hs3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# we are doing a string compare to find difference\n",
+    "def hamming_distance(h1, h2):\n",
+    "    counter = 0\n",
+    "    for i in range(len(h1)):\n",
+    "        if h1[i] != h2[i]:\n",
+    "            counter += 1\n",
+    "    return counter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "hs1-hs2 16\n",
+      "hs1-hs3 14\n",
+      "hs2-hs3 15\n",
+      "hs2-hs2 0\n"
+     ]
+    }
+   ],
+   "source": [
+    "#print (hamming_distance(hash1,hash2)) - this needs to be commented out to avoid error: object of type 'ImageHash' has no len()\n",
+    "# so hash value is converted to string first\n",
+    "\n",
+    "print (\"hs1-hs2\",hamming_distance(hs1,hs2))\n",
+    "print (\"hs1-hs3\",hamming_distance(hs1,hs3))\n",
+    "print (\"hs2-hs3\",hamming_distance(hs2,hs3))\n",
+    "print (\"hs2-hs2\",hamming_distance(hs2,hs2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "#note the distance.hamming function from scipy.spatial always return 1\n",
+    "print(distance.hamming(hash1, hash2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(distance.hamming(hs1, hs2))"
+   ]
+  },
+  {
+   "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}