import cv2
import numpy as ny

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

cap = cv2.VideoCapture(0)

while True:

	ret , img=cap.read()
	gray = cv2.cvtColor (img,cv2.COLOR_BGR2GRAY)
	faces = face_cascade.detectMultiScale(gray,1.3,8)
	for(x,y,w,h) in faces:
		cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
		roi_gray = gray[y:y+h , x:x+w]
		roi_color = img[y:y+h , x:x+w]
		eyes = eye_cascade.detectMultiScale(roi_gray)
		for(ex ,ey ,ew,eh) in eyes:
			cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)

	cv2.imshow('img',img)
	k= cv2.waitKey(30) & 0xff
	if k == 27:
		break

cap.release()
cv2.destryAllWindows()

