import cv2
import numpy as np 

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

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

cap=cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 160);
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 120);

while True:

	ret,img= cap.read()
	gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
	faces=face_cascade.detectMultiScale(gray,1.3,5)
	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)
	if(cv2.waitKey(1) & 0xFF==ord('q')):
		break

cap.release()
cap.destroyAllWindows()

