Python基于OpenCV实现视频的人脸检测

前提条件

1.摄像头

2.已安装Python和OpenCV3

代码

import cv2import sysimport logging as logimport datetime as dtfrom time import sleepcascPath = "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()