OpenCV-Python 摄像头实时检测人脸代码实例

import cv2cap = cv2.VideoCapture(4) # 使用第5个摄像头（我的电脑插了5个摄像头）face_cascade = cv2.CascadeClassifier(r'haarcascade_frontalface_default.xml') # 加载人脸特征库while(True):  ret, frame = cap.read() # 读取一帧的图像  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # 转灰  faces = face_cascade.detectMultiScale(gray, scaleFactor = 1.15, minNeighbors = 5, minSize = (5, 5)) # 检测人脸  for(x, y, w, h) in faces:    cv2.rectangle(gray, (x, y), (x + w, y + h), (0, 255, 0), 2) # 用矩形圈出人脸  cv2.imshow('Face Recognition', gray)  if cv2.waitKey(1) & 0xFF == ord('q'):    breakcap.release() # 释放摄像头cv2.destroyAllWindows()