Python3的人脸识别的两种方法

    import cv2
    import numpy as np
    
    filename = 'test1.jpg'
    path = r'D:\face'
    
    
    def detect(filename):
    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
    face_cascade.load(path + '\haarcascade_frontalface_default.xml')
    
    img = cv2.imread(filename)
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    for (x, y, w, h) in faces:
        img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
    cv2.namedWindow("vikings detected")
    cv2.imshow("vikings detected",