face_and_eye_detection.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "# Face and Eye Detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2 as cv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "<VideoCapture 0x7f7926fd18b0>\n"
     ]
    }
   ],
   "source": [
    "cap = cv.VideoCapture(0)\n",
    "face_cascade = cv.CascadeClassifier('haarcascade_files/haarcascade_frontalface_alt.xml')\n",
    "eye_cascade = cv.CascadeClassifier('haarcascade_files/haarcascade_eye.xml')\n",
    "print(cap)\n",
    "while True:\n",
    "    ret, frame = cap.read()\n",
    "    gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)\n",
    "    faces = face_cascade.detectMultiScale(gray, 1.3, 3)\n",
    "    \n",
    "    for (x,y,w,h) in faces:\n",
    "        frame = cv.rectangle(frame, (x,y), (x+w, y+h), (255, 0, 0), 2)\n",
    "        roi_gray = gray[y:y+h, x:x+w]\n",
    "        roi_color = frame[y:y+h, x:x+w]\n",
    "        eye = eye_cascade.detectMultiScale(roi_gray)\n",
    "        \n",
    "        for (ex,ey,ew,eh) in eye:\n",
    "            cv.rectangle(roi_color, (ex,ey), (ex+ew, ey+eh), (0, 255, 0), 2)\n",
    "    \n",
    "    cv.imshow(\"Face_Detection\", frame)\n",
    "    if cv.waitKey(1) & 0xFF == 27: # ASCII Code for Esc Key\n",
    "        break\n",
    "cap.release()\n",
    "cv.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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