Python face recognition learning record, call camera, recognize face

import cv2

def viedoFace():
    # Call the local camera 0 to allow it to be called
    video =cv2.VideoCapture(0)
    faceData = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
    i=1
    while(True):
        flag,videoImg=video.read()
        # Use the face data feature package to compare the faces in the camera
        faces=faceData.detectMultiScale(videoImg)
        # mirror 1 horizontal flip-1 vertical+horizontal flip 0 vertical flip

        for x, y, w, h in faces:
            cv2.rectangle(videoImg, pt1=(x, y), pt2=(x + w, y + h), color=[0, 0, 255], thickness=2)
        # Determine whether the object is a tuple type
        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("The window is about to close")
            break
        # print(videoImg)

    cv2.destroyAllWindows()

if __name__ == '__main__':
    viedoFace()