haar_opencv

import cv2
import time

face_haar = cv2.CascadeClassifier("opencv/data/haarcascades/haarcascade_frontalface_default.xml")
eye_haar = cv2.CascadeClassifier("opencv/data/haarcascades/haarcascade_eye.xml")

cam = cv2.VideoCapture(0)

while True:
    _, img = cam.read()
    gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    startTime = time.time()
    faces = face_haar.detectMultiScale(gray_img, 1.3, 5)
    if len(faces):
        print (time.time()-startTime)
        startTime = time.time()
        for face_x,face_y,face_w,face_h in faces:
            cv2.rectangle(img, (face_x, face_y), (face_x+face_w, face_y+face_h), (0,255,0), 2)
            roi_gray_img = gray_img[face_y:face_y+face_h, face_x:face_x+face_w]
            roi_img = img[face_y:face_y+face_h, face_x:face_x+face_w]
            eyes = eye_haar.detectMultiScale(roi_gray_img, 1.3, 5)
            for eye_x,eye_y,eye_w,eye_h in eyes:
                cv2.rectangle(roi_img, (eye_x,eye_y), (eye_x+eye_w, eye_y+eye_h), (255,0,0), 2)
        print (time.time()-startTime)
        cv2.imwrite('face.jpg', img)
        break
cam.release()