Lecture 24 Hough Circle Detection.ipynb

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    "import cv2\n",
    "import numpy as np"
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    "img = cv2.imread(\"balls.jpeg\")\n",
    "gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "gry = cv2.medianBlur(gry, 9)\n",
    "\n",
    "c = cv2.HoughCircles(gry, cv2.HOUGH_GRADIENT, 1, 20, param1=90, param2=80, minRadius=0, maxRadius=0)\n",
    "\n",
    "data = np.uint16(np.around(c))\n",
    "\n",
    "for (x, y, r) in data[0,:]:\n",
    "    cv2.circle(img, (x,y), r, (0,255,0), 5)\n",
    "\n",
    "img = cv2.resize(img, (600,550))\n",
    "\n",
    "cv2.imshow(\"image\", img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
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