background_subtraction_attempt.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "import cv2\n",
    "import time\n",
    "import imutils\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from imutils.video import VideoStream\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-2-09883ce74766>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     12\u001b[0m         \u001b[0mframe\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     13\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 14\u001b[1;33m     \u001b[0mframe\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mimutils\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mwidth\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m500\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     15\u001b[0m     \u001b[0mgray\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mCOLOR_BGR2GRAY\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     16\u001b[0m     \u001b[0mgray\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mGaussianBlur\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgray\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m21\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m21\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\imutils\\convenience.py\u001b[0m in \u001b[0;36mresize\u001b[1;34m(image, width, height, inter)\u001b[0m\n\u001b[0;32m     89\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     90\u001b[0m     \u001b[1;31m# resize the image\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 91\u001b[1;33m     \u001b[0mresized\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minterpolation\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minter\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     92\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     93\u001b[0m     \u001b[1;31m# return the resized image\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "video_path=r'C:\\Users\\Legion\\Desktop\\Internship_IIT\\Crowd-Activity-All.avi'\n",
    "min_area=500\n",
    "vs=cv2.VideoCapture(video_path)\n",
    "firstFrame=None\n",
    "prev_gray=None\n",
    "while True:\n",
    "\n",
    "    frame=vs.read()\n",
    "    if frame is None:\n",
    "        break\n",
    "    else:\n",
    "        frame=frame[1]\n",
    "        \n",
    "    frame=imutils.resize(frame,width=500)\n",
    "    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)\n",
    "    gray=cv2.GaussianBlur(gray,(21,21),0)\n",
    "    \n",
    "    if prev_gray is None:\n",
    "        prev_gray = gray\n",
    "        continue\n",
    "\n",
    "    #print('hey1')\n",
    "    frameDelta = cv2.absdiff(prev_gray,gray)\n",
    "    thresh=cv2.threshold(frameDelta,25,255,cv2.THRESH_BINARY)[1]\n",
    "    \n",
    "    thresh=cv2.dilate(thresh,None,iterations=2)\n",
    "    cnts=cv2.findContours(thresh.copy(),cv2.RETR_EXTERNAL,\n",
    "                         cv2.CHAIN_APPROX_SIMPLE)\n",
    "    cnts=imutils.grab_contours(cnts)\n",
    "    #print('hey2')\n",
    "    for c in cnts:\n",
    "        \n",
    "        if cv2.contourArea(c) < min_area:\n",
    "            continue\n",
    "        \n",
    "        #print('hey3')\n",
    "        (x,y,w,h)=cv2.boundingRect(c)\n",
    "        cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)\n",
    "        \n",
    "    cv2.imshow(\"frames\",frame)\n",
    "    cv2.imshow('thrsh',thresh)\n",
    "    cv2.imshow('frame delta',frameDelta)\n",
    "    print('hey4')\n",
    "    key=cv2.waitKey(5) & 0xFF\n",
    "    #print('hey5')\n",
    "    prev_gray=gray\n",
    "    #time.sleep(0.01)\n",
    "    if key == ord(\"q\"):\n",
    "        break\n",
    "        \n",
    "vs.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vs.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'video_path' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-9dec2fd5a0a8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mcv2\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mcap\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mVideoCapture\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvideo_path\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[0mfgbg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbgsegm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcreateBackgroundSubtractorMOG\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mwhile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'video_path' is not defined"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import cv2 as cv\n",
    "cap = cv.VideoCapture(video_path)\n",
    "fgbg = cv.bgsegm.createBackgroundSubtractorMOG()\n",
    "while(1):\n",
    "    ret, frame = cap.read()\n",
    "    fgmask = fgbg.apply(frame)\n",
    "    l=cv2.bitwise_and(frame,frame,mask = fgmask)\n",
    "    cv.imshow('frame',l)\n",
    "    cv.imshow('orig frame',frame)\n",
    "    k = cv.waitKey(30) & 0xff\n",
    "    if k == 27:\n",
    "        break\n",
    "cap.release()\n",
    "cv.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "error",
     "evalue": "OpenCV(4.0.0) C:\\projects\\opencv-python\\opencv\\modules\\highgui\\src\\window.cpp:350: error: (-215:Assertion failed) size.width>0 && size.height>0 in function 'cv::imshow'\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31merror\u001b[0m                                     Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-5-6700374c368a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      7\u001b[0m     \u001b[0mfgmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfgbg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      8\u001b[0m     \u001b[0ml\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbitwise_and\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfgmask\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m     \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'frame'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ml\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     10\u001b[0m     \u001b[0mk\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwaitKey\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m30\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m&\u001b[0m \u001b[1;36m0xff\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     11\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mk\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m27\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31merror\u001b[0m: OpenCV(4.0.0) C:\\projects\\opencv-python\\opencv\\modules\\highgui\\src\\window.cpp:350: error: (-215:Assertion failed) size.width>0 && size.height>0 in function 'cv::imshow'\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import cv2 as cv\n",
    "cap = cv.VideoCapture(video_path)\n",
    "fgbg = cv.createBackgroundSubtractorMOG2()\n",
    "while(1):\n",
    "    ret, frame = cap.read()\n",
    "    fgmask = fgbg.apply(frame)\n",
    "    l=cv2.bitwise_and(frame,frame,mask = fgmask)\n",
    "    cv.imshow('frame',l)\n",
    "    k = cv.waitKey(30) & 0xff\n",
    "    if k == 27:\n",
    "        break\n",
    "cap.release()\n",
    "cv.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "error",
     "evalue": "OpenCV(4.0.0) C:\\projects\\opencv-python\\opencv\\modules\\core\\src\\matrix.cpp:757: error: (-215:Assertion failed) dims <= 2 && step[0] > 0 in function 'cv::Mat::locateROI'\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31merror\u001b[0m                                     Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-15585b9ec9f0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      7\u001b[0m     \u001b[0mret\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mframe\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcap\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      8\u001b[0m     \u001b[0mfgmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfgbg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m     \u001b[0mfgmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmorphologyEx\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfgmask\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mMORPH_OPEN\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkernel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     10\u001b[0m     \u001b[0ml\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbitwise_and\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfgmask\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     11\u001b[0m     \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'frame'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ml\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31merror\u001b[0m: OpenCV(4.0.0) C:\\projects\\opencv-python\\opencv\\modules\\core\\src\\matrix.cpp:757: error: (-215:Assertion failed) dims <= 2 && step[0] > 0 in function 'cv::Mat::locateROI'\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import cv2 as cv\n",
    "cap = cv.VideoCapture(video_path)\n",
    "kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE,(3,3))\n",
    "fgbg = cv.bgsegm.createBackgroundSubtractorGMG()\n",
    "while(1):\n",
    "    ret, frame = cap.read()\n",
    "    fgmask = fgbg.apply(frame)\n",
    "    fgmask = cv.morphologyEx(fgmask, cv.MORPH_OPEN, kernel)\n",
    "    l=cv2.bitwise_and(frame,frame,mask = fgmask)\n",
    "    cv.imshow('frame',l)\n",
    "    k = cv.waitKey(30) & 0xff\n",
    "    if k == 27:\n",
    "        break\n",
    "cap.release()\n",
    "cv.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 3,  6],\n",
       "       [ 6, 20]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=np.array([[1,2],[3,4]])\n",
    "b=np.array([[3,3],[2,5]])\n",
    "a*b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "error",
     "evalue": "OpenCV(4.1.0) C:\\projects\\opencv-python\\opencv_contrib\\modules\\bgsegm\\src\\bgfg_gaussmix.cpp:127: error: (-213:The function/feature is not implemented)  in function 'cv::bgsegm::BackgroundSubtractorMOGImpl::getBackgroundImage'\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31merror\u001b[0m                                     Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-5-668566b70ca3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     14\u001b[0m     \u001b[0mframe\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvideo_path\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mframe_path\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m     \u001b[0mfgmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfgbg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m     \u001b[0mbg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfgbg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetBackgroundImage\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     17\u001b[0m     \u001b[1;31m#fgmask = cv2.morphologyEx(fgmask,cv2.MORPH_OPEN,kernel)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     18\u001b[0m     \u001b[0ml\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbitwise_and\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfgmask\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31merror\u001b[0m: OpenCV(4.1.0) C:\\projects\\opencv-python\\opencv_contrib\\modules\\bgsegm\\src\\bgfg_gaussmix.cpp:127: error: (-213:The function/feature is not implemented)  in function 'cv::bgsegm::BackgroundSubtractorMOGImpl::getBackgroundImage'\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import cv2\n",
    "import os\n",
    "import time\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(3,3))\n",
    "fgbg = cv2.bgsegm.createBackgroundSubtractorMOG()\n",
    "\n",
    "\n",
    "video_path=r'C:\\Users\\Legion\\Desktop\\Internship_IIT\\UCSD_Anomaly_Dataset.v1p2\\UCSDped1\\Train\\Train001'\n",
    "\n",
    "for frame_path in os.listdir(video_path):\n",
    "    if frame_path=='._.DS_Store' or frame_path == '.DS_Store':\n",
    "        continue\n",
    "    frame = cv2.imread(os.path.join(video_path,frame_path),0)\n",
    "    fgmask = fgbg.apply(frame)\n",
    "    bg = fgbg.getBackgroundImage()\n",
    "    #fgmask = cv2.morphologyEx(fgmask,cv2.MORPH_OPEN,kernel)\n",
    "    l=cv2.bitwise_and(frame,frame,mask = fgmask)\n",
    "    #cv2.namedWindow('ImageWindowName', cv2.WINDOW_NORMAL)\n",
    "    cv2.imshow('masked frame',l)\n",
    "    cv2.imshow('original frame',frame)\n",
    "    cv2.imshow('mask',fgmask)\n",
    "    \n",
    "    k = cv2.waitKey(5) & 0xff\n",
    "    time.sleep(0.1)\n",
    "    if k == 27:\n",
    "        break\n",
    "        \n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0989010989010988"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1/0.91"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'200.tif'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frame_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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