基础篇：

import dlib
import cv2
import numpy as np


def main(img_path='./1.jpg'):
    detector = dlib.get_frontal_face_detector()  # 人脸box检测器
    image = cv2.imread(img_path)
    # image = dlib.load_rgb_image(img_path)
    # image = image[:, :, ::-1]
    res = detector(image, 2)
    predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')  # 人脸关键点提取（此处是68点，也可以改为5点）
    detected_landmarks = predictor(image, res[0])
    feature = dlib.face_recognition_model_v1(
        'dlib_face_recognition_resnet_model_v1.dat')  # 人脸128D特征计算，不同人脸特征间可通过余弦相似度计算

    f_128 = feature.compute_face_descriptor(image, detected_landmarks)
    

if __name__ == "__main__":
    main()

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