本次在图片识别的程度上增添了视频识别 

原理就是在图片的基础上进行操作 每毫秒进行下一帧的人脸解析识别，时间可自行设置

 

import numpy as np
import cv2win = cv2.namedWindow('dzd',cv2.WINDOW_NORMAL)
cv2.resizeWindow('dzd',640,200)
rose = cv2.imread('./rose.jpg')
cv2.imshow('dzd',rose)
cv2.waitKey(0)
cv2.destroyWindow('dzd')# v = cv2.VideoCapture('./dzd2.mp4')
face_detector = cv2.CascadeClassifier('./haarcascade_frontalface_alt2.xml')
# 视频是由一张张图片组成，每一张图片，帧
while True:flag,frame = v.read()if not flag:break
#     frame = cv2.resize(frame,(640,360))gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)face_zones = face_detector.detectMultiScale(gray,scaleFactor = 1.1,minNeighbors = 3)for x,y,w,h in face_zones:cv2.rectangle(frame,pt1 = (x,y),pt2 = (x+w,y+h),color = [0,0,255],thickness=2)cv2.imshow('dzd',frame)key = cv2.waitKey(1)if key == ord('q'):break
v.release()#释放视频流
cv2.destroyAllWindows()