Untitled2.ipynb

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     "ename": "error",
     "evalue": "OpenCV(4.0.0) /Users/travis/build/skvark/opencv-python/opencv_contrib/modules/xfeatures2d/src/surf.cpp:1029: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'create'\n",
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     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31merror\u001b[0m                                     Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-f5c567767182>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;31m# Initiate SIFT detector\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0msift\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxfeatures2d\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSURF_create\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31merror\u001b[0m: OpenCV(4.0.0) /Users/travis/build/skvark/opencv-python/opencv_contrib/modules/xfeatures2d/src/surf.cpp:1029: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'create'\n"
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   "source": [
    "import numpy as np\n",
    "import cv2\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "img1 = cv2.imread('box.png',0)          # queryImage\n",
    "img2 = cv2.imread('box_in_scene.png',0) # trainImage\n",
    "\n",
    "# Initiate SIFT detector\n",
    "sift = cv2.xfeatures2d.SURF_create()\n",
    "\n",
    "\n",
    "# find the keypoints and descriptors with SIFT\n",
    "kp1, des1 = sift.detectAndCompute(img1,None)\n",
    "kp2, des2 = sift.detectAndCompute(img2,None)\n",
    "\n",
    "# BFMatcher with default params\n",
    "bf = cv2.BFMatcher()\n",
    "matches = bf.knnMatch(des1,des2, k=2)\n",
    "\n",
    "# Apply ratio test\n",
    "good = []\n",
    "for m,n in matches:\n",
    "    if m.distance < 0.75*n.distance:\n",
    "        good.append([m])\n",
    "\n",
    "# cv2.drawMatchesKnn expects list of lists as matches.\n",
    "img3 = cv2.drawMatchesKnn(img1,kp1,img2,kp2,good,flags=2)\n",
    "\n",
    "plt.imshow(img3),plt.show()\n"
   ]
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