Car_and_Pedestrian_Detection.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# Pedestrian Detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "error",
     "evalue": "OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'\n",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31merror\u001b[0m                                     Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-2cda50f442f0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     13\u001b[0m     \u001b[0mret\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0;31m#frame = cv2.resize(frame,None,fx= 0.5,fy = 0.5. interpolation= cv2.INTER_LINEAR)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m     \u001b[0mgray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_BGR2GRAY\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     16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;31m#Pass frame to our body classifier\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31merror\u001b[0m: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'\n"
     ]
    }
   ],
   "source": [
    "# Create our body classifier\n",
    "\n",
    "body_classifier = cv2.CascadeClassifier('/home/anonymous_pk7/anaconda3/haarcascade/haarcascade_fullbody.xml')\n",
    "\n",
    "# Initiate video capture from video file\n",
    "\n",
    "cap = cv2.VideoCapture('/home/anonymous_pk7/anaconda3/images/walking.mp4')\n",
    "\n",
    "# Loop once video is successfully loaded\n",
    "while cap.isOpened():\n",
    "    \n",
    "    #Read First Frame\n",
    "    ret, frame = cap.read()\n",
    "    #frame = cv2.resize(frame,None,fx= 0.5,fy = 0.5. interpolation= cv2.INTER_LINEAR)\n",
    "    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)\n",
    "    \n",
    "    #Pass frame to our body classifier\n",
    "    bodies = body_classifier.detectMultiScale(gray,1.2,3)\n",
    "    \n",
    "    #Extract bounding boxex for any bodies identified\n",
    "    \n",
    "    for(x,y,w,h) in bodies:\n",
    "        cv2.rectangle(frame,(x,y),(x+w, y+h),(0,255,255),2)\n",
    "        cv2.imshow('Pedestrians',frame)\n",
    "        \n",
    "    if cv2.waitKey(1) == 13:  #13 is the enter key\n",
    "        break\n",
    "        \n",
    "        \n",
    "cap.release()\n",
    "cv2.destroyAllWindows()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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