Jupyter Notebook file upload

Author: AvinashMirgal

Avinash_OpenCV_Feature_Detection_and_Description.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "E:\\Anaconda\\envs\\djangoProject\\lib\\site-packages\\numpy\\_distributor_init.py:32: UserWarning: loaded more than 1 DLL from .libs:\n",
+      "E:\\Anaconda\\envs\\djangoProject\\lib\\site-packages\\numpy\\.libs\\libopenblas.NOIJJG62EMASZI6NYURL6JBKM4EVBGM7.gfortran-win_amd64.dll\n",
+      "E:\\Anaconda\\envs\\djangoProject\\lib\\site-packages\\numpy\\.libs\\libopenblas.PYQHXLVVQ7VESDPUVUADXEVJOBGHJPAY.gfortran-win_amd64.dll\n",
+      "  stacklevel=1)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Feature detection and description\n",
+    "import numpy as np\n",
+    "import cv2 as cv\n",
+    "\n",
+    "# load the image using cv2.imread function in grayscale\n",
+    "img = cv.imread(\"D:/Wallpapers/1.jpeg\",cv.IMREAD_GRAYSCALE)\n",
+    "\n",
+    "#create ORB object\n",
+    "orb = cv.ORB_create(nfeatures=1500)\n",
+    "\n",
+    "# detecting the feature\n",
+    "keypoints, descriptors = orb.detectAndCompute(img, None)\n",
+    "\n",
+    "# it will draw the Keypoints that detect using ORB\n",
+    "img = cv.drawKeypoints(img, keypoints, None)\n",
+    "\n",
+    "#show the image as output\n",
+    "cv.imshow(\"Image\", img)\n",
+    "cv.waitKey(0)\n",
+    "cv.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Feature detection , description and Matching using Brout-Force matching method\n",
+    "import cv2 as cv\n",
+    "import numpy as np\n",
+    "\n",
+    "img1 = cv.imread(\"D:/Wallpapers/1.jpeg\",cv.IMREAD_GRAYSCALE)\n",
+    "img2 = cv.imread(\"D:/Wallpapers/2.jpeg\",cv.IMREAD_GRAYSCALE)\n",
+    "\n",
+    "# ORB Detector\n",
+    "orb = cv.ORB_create()\n",
+    "kp1, des1 = orb.detectAndCompute(img1, None)\n",
+    "kp2, des2 = orb.detectAndCompute(img2, None)\n",
+    "\n",
+    "#Brute Force Matching\n",
+    "bf = cv.BFMatcher(cv.NORM_HAMMING, crossCheck = True)\n",
+    "matches = bf.match(des1,des2)\n",
+    "matches = sorted(matches,key = lambda x:x.distance)\n",
+    "\n",
+    "# Draw the macthing features\n",
+    "matchesing_result = cv.drawMatches(img1, kp1, img2, kp2, matches[:50], None,flags=2)\n",
+    "\n",
+    "# Display the Output\n",
+    "cv.imshow(\"Img1\",img1)\n",
+    "cv.imshow(\"Img2\",img2)\n",
+    "cv.imshow(\"Result\",matchesing_result)\n",
+    "cv.waitKey(0)\n",
+    "cv.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.7.6 64-bit ('djangoProject': conda)",
+   "language": "python",
+   "name": "python37664bitdjangoprojectconda6b36c2a086f74a4487d0008552a080c8"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}