Face_and_Eye_Detection_in_videos.ipynb

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   "source": [
    "import numpy as np\n",
    "import cv2"
   ]
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   "source": [
    "# Face Recognition\n",
    "\n",
    "#Loading the Cascades\n",
    "\n",
    "face_cascade = cv2.CascadeClassifier('/home/anonymous_pk7/anaconda3/haarcascade/haarcascade_frontalface_default.xml') \n",
    "eye_cascade = cv2.CascadeClassifier('/home/anonymous_pk7/anaconda3/haarcascade/haarcascade_eye.xml')\n",
    "\n",
    "# Defining a function that will do the detection\n",
    "def detect(gray,frame):\n",
    "    faces = face_cascade.detectMultiScale(gray,1.3,5)\n",
    "    for(x,y,w,h) in faces:\n",
    "        cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)\n",
    "        roi_gray = gray[y:y+h, x:x+w]\n",
    "        roi_color = frame[y:y+h, x:x+w]\n",
    "        eyes = eye_cascade.detectMultiScale(roi_gray,1.1,3)\n",
    "        for(ex,ey,ew,eh) in eyes:\n",
    "            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)\n",
    "    return frame\n",
    "\n",
    "\n",
    "# Doing some face recognition with the webcam\n",
    "\n",
    "video_capture = cv2.VideoCapture(0)\n",
    "\n",
    "while True:\n",
    "    _, frame = video_capture.read()\n",
    "    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)\n",
    "    canvas = detect(gray,frame)\n",
    "    cv2.imshow('Video',canvas)\n",
    "    if cv2.waitKey(0) & 0xFF == ord(('q')):\n",
    "        break\n",
    "video_capture.release()\n",
    "cv2.destroyAllWindows()\n",
    "    \n",
    "\n",
    "\n"
   ]
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