Python基于OpenCV实现视频的人脸检测

import cv2 import sys import logging as log import datetime as dt from time import sleep  cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath)  # 打开视频捕获设备 video_capture = cv2.VideoCapture(0)   while True:  if not video_capture.isOpened():   print('Unable to load camera.')   sleep(5)   pass   # 读视频帧  ret, frame = video_capture.read()   # 转为灰度图像  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)   # 调用分类器进行检测  faces = faceCascade.detectMultiScale(   gray,   scaleFactor=1.1,   minNeighbors=5,   minSize=(30, 30),   #flags=cv2.cv.CV_HAAR_SCALE_IMAGE  )   # 画矩形框  for (x, y, w, h) in faces:   cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)    # 显示视频  cv2.imshow('Video', frame)    if cv2.waitKey(1) & 0xFF == ord('q'):   break   # 关闭摄像头设备 video_capture.release()  # 关闭所有窗口 cv2.destroyAllWindows()