python cv2的视频检测:睁眼闭眼

# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import cv2 as cv
#import time


# 哈尔级联分类器
fd = cv.CascadeClassifier(r‘C:\Users\wenzhe.tian\Desktop\闭眼识别\haarcascade_frontalface_alt.xml‘)
ed = cv.CascadeClassifier(r‘C:\Users\wenzhe.tian\Desktop\闭眼识别\haarcascade_eye_tree_eyeglasses.xml‘)
#nd = cv.CascadeClassifier(‘../../data/haar/nose.xml‘)
vc = cv.VideoCapture(0)

while True:
    frame = vc.read()[1]
    faces = fd.detectMultiScale(frame, 1.3, 5)
    for l, t, w, h in faces:
        a, b = int(w / 2), int(h / 2) 
        cv.ellipse(frame, (l+a, t+b), (a, b), 0, 0, 360, (255, 0, 255), 2)
        face = frame[t:t+h, l:l+w] 
    
        eyes = ed.detectMultiScale(face, 1.3, 5)
    for l, t, w, h in eyes:
        a, b = int(w / 2), int(h / 2)
        cv.ellipse(face, (l+a, t+b), (a, b), 0,0, 360, (0, 255, 0), 2)
    
    # noses = nd.detectMultiScale(face, 1.3, 5)
    # for l, t, w, h in noses:
    # a, b = int(w / 2), int(h / 2)
    # cv.ellipse(face, (l a, t b), (a, b), 0,
    # 0, 360, (255, 0, 0), 2)
    # a = ‘close eyes!!‘ 
    
    if len(eyes) != 0:
        cv.destroyWindow(‘close eyes!!‘)
        # cv.moveWindow(‘open eyes‘,300,300)
        cv.imshow(‘open eyes!!‘, frame)

    else:
        cv.destroyWindow(‘open eyes!!‘)
        # time.sleep(1)
        # cv.moveWindow(‘close eyes‘,300,300)
        cv.imshow(‘close eyes!!‘, frame)
    
    
    if cv.waitKey(1) == ord(‘ ‘):
        break 
vc.release()
cv.destroyAllWindows()