导入所需的库

import cv2 import numpy as np import dlib

加载人脸关键点检测器

detector = dlib.get_frontal_face_detector() predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')

加载图片

img = cv2.imread('test.jpg')

将图片转换为灰度图像

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

检测人脸

faces = detector(gray)

遍历每张脸并绘制关键点

for face in faces: landmarks = predictor(gray, face) for n in range(68): x = landmarks.part(n).x y = landmarks.part(n).y cv2.circle(img, (x, y), 2, (0, 255, 0), -1)

显示图片

cv2.imshow('Facial Landmarks', img) cv2.waitKey(0) cv2.destroyAllWindows()