Avinash_OpenCV_Feature_Detection_and_Description.ipynb

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      "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",
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      "  stacklevel=1)\n"
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   "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()"
   ]
  },
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   "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()"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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