import numpy as np
import cv2
import sys

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
cap = cv2.VideoCapture(0)

# img = None
# try:
# 	img = cv2.imread(sys.argv[1])
# except:
# 	print 'Please specify an input image'
# 	sys.exit(1)

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), (0, 255, 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(img, (ex, ey), (ex+ew, ey+eh), (255, 0, 0), 2)
	cv2.imshow('Viola Jones', img)
	key = cv2.waitKey(1) & 0xff
	if key == ord('q'):
		break

cap.release()
cv2.destroyAllWindows()
