face_and_eye_catcher.py

import cv2

face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("haarcascade_eye.xml")

def detect(gray, frame):
	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
	for (x, y, w, h) in faces :
		cv2.rectangle(frame , (x,y), (x+w ,y+h), (255, 0, 0), 2 )
		roi_gray = gray[ y:y+h ,x:x+w ]
		roi_color = frame[y:y+h ,x:x+w ]

		eyes = eye_cascade.detectMultiScale(roi_gray, 1.1, 3)
		for (ex, ey, ew, eh) in eyes :
			cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)

	return frame

capture = cv2.VideoCapture(0)

while True :
	_, frame =capture.read()
	gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
	canvas =detect(gray, frame)
	cv2.imshow("Camera", canvas)
	if cv2.waitKey(1) & 0xFF == ord("q"):
		break

capture.release()
cv2.destroyAllWindows()