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()