本次在圖片識別的程度上增添了視頻識別?

原理就是在圖片的基礎上進行操作 每毫秒進行下一幀的人臉解析識別，時間可自行設置

?

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')
# 視頻是由一張張圖片組成，每一張圖片，幀
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()#釋放視頻流
cv2.destroyAllWindows()