python人脸识别学习记录，调用摄像头，识别人脸

import cv2 def viedoFace(): # 调用本地摄像头 0允许被调用 video =cv2.VideoCapture(0) faceData = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml") i=1 while(True): flag,videoImg=video.read() # 使用人脸数据特征包，对比摄像头中的人脸 faces=faceData.detectMultiScale(videoImg) # 镜像 1水平翻转 -1 垂直+水平翻转 0垂直翻转 for x, y, w, h in faces: cv2.rectangle(videoImg, pt1=(x, y), pt2=(x + w, y + h), color=[0, 0, 255], thickness=2) # 判断对象是否为元组类型 if not isinstance(faces,tuple): facePhot=videoImg[y:y+h,x:x+w] cv2.imwrite("faceImg/per1/%s.jpg"%i,facePhot) i+=1 videoImg = cv2.flip(videoImg, 1) videoImg = cv2.resize(videoImg, None, fx=0.8, fy=0.8) cv2.imshow("hh",videoImg) index=cv2.waitKey(1000//24) if index==32: print("窗口即将关闭") break # print(videoImg) cv2.destroyAllWindows() if __name__ == '__main__': viedoFace() import cv2 def viedoFace(): # 调用本地摄像头 0允许被调用 vide