gistfile1.txt

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Harris corner detection demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Ref: https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_features_harris/py_features_harris.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.4.2'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tested on 3.4.2\n",
    "import cv2\n",
    "cv2.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import platform\n",
    "\n",
    "cap=cv2.VideoCapture(0)\n",
    "\n",
    "\n",
    "# Detector parameters\n",
    "blockSize = 2\n",
    "apertureSize = 3\n",
    "k = 0.04\n",
    "\n",
    "while (True):\n",
    "    \n",
    "    ret,frame=cap.read()\n",
    "    \n",
    "    cv2.namedWindow(\"camera\",cv2.WND_PROP_FULLSCREEN)\n",
    "    cv2.setWindowProperty(\"camera\",cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)\n",
    "    \n",
    "    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY);\n",
    "    \n",
    "    dst = cv2.cornerHarris(gray, blockSize, apertureSize, k)\n",
    "    \n",
    "    #result is dilated for marking the corners, not important\n",
    "    dst = cv2.dilate(dst,None)\n",
    "\n",
    "    # Threshold for an optimal value, it may vary depending on the image.\n",
    "    frame[dst>0.01*dst.max()]=[0,0,255]\n",
    "    \n",
    "    cv2.imshow('camera',frame)\n",
    "    \n",
    "    if cv2.waitKey(1) &0xFF == ord('q'): # press q or ESC to quit. You probably need to hit the screen first\n",
    "        break\n",
    "\n",
    "        \n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.15rc1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

opencv-corner.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Harris corner detection demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Ref: https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_features_harris/py_features_harris.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.4.2'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tested on 3.4.2\n",
    "import cv2\n",
    "cv2.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import platform\n",
    "\n",
    "cap=cv2.VideoCapture(0)\n",
    "\n",
    "\n",
    "# Detector parameters\n",
    "blockSize = 2\n",
    "apertureSize = 3\n",
    "k = 0.04\n",
    "\n",
    "while (True):\n",
    "    \n",
    "    ret,frame=cap.read()\n",
    "    \n",
    "    cv2.namedWindow(\"camera\",cv2.WND_PROP_FULLSCREEN)\n",
    "    cv2.setWindowProperty(\"camera\",cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)\n",
    "    \n",
    "    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY);\n",
    "    \n",
    "    dst = cv2.cornerHarris(gray, blockSize, apertureSize, k)\n",
    "    \n",
    "    #result is dilated for marking the corners, not important\n",
    "    dst = cv2.dilate(dst,None)\n",
    "\n",
    "    # Threshold for an optimal value, it may vary depending on the image.\n",
    "    frame[dst>0.01*dst.max()]=[0,0,255]\n",
    "    \n",
    "    cv2.imshow('camera',frame)\n",
    "    \n",
    "    if cv2.waitKey(1) &0xFF == ord('q'): # press q or ESC to quit. You probably need to hit the screen first\n",
    "        break\n",
    "\n",
    "        \n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.15rc1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}