import numpy as np
import cv2

# multiple cascades: https://github.com/Itseez/opencv/tree/master/data/haarcascades

#https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_eye.xml
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

cap = cv2.VideoCapture(0)
while 1:
	ret, img = cap.read()
	grey = cv2.cvtColor(img , cv2.COLOR_BGR2GRAY)
	faces = face_cascade.detectMultiScale(grey, 1.3, 5)
	for (x,y,w,h) in faces:
		cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
		roi_grey = grey[y:y+h, x:x+w]
		roi_color = img[y:y+h, x:x+w]
		eyes = eye_cascade.detectMultiScale(roi_grey)
		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.destroyAllWindows()