pip install dlib==19.7.

 import numpy as np

 import cv2 as cv

 import dlib

 detector = dlib.get_frontal_face_detector()

 predictor = dlib.shape_predictor('dlib/shape_predictor_68_face_landmarks.dat')

 def Detect_face(camera_idx):

     # camera_idx: 电脑自带摄像头或者usb摄像头

     cv.namedWindow('detect')

     cap = cv.VideoCapture(camera_idx)

     while cap.isOpened():

         cv.namedWindow('detect', cv.WINDOW_AUTOSIZE)

         ok, frame = cap.read()

         # frame = cv.flip(frame, 1, dst=None)

         if not ok:

             break

         gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)

         rects = detector(gray, 0)

         for i in range(len(rects)):

             landmarks = np.matrix([[p.x, p.y] for p in predictor(frame, rects[i]).parts()])

             for idx, point in enumerate(landmarks):

                 pos = (point[0, 0], point[0, 1])

                 # print(idx, pos)

                 cv.circle(frame, pos, 1, color=(0, 255, 0))

                 font = cv.FONT_HERSHEY_SIMPLEX

                 cv.putText(frame, str(idx + 1), pos, font, 0.4, (0, 255, 255), 1, cv.LINE_AA)

         cv.imshow('detect', frame)

         c = cv.waitKey(10)

         if c & 0xFF == ord('q'):

             break

     cap.release()

     cv.destroyAllWindows()

 if __name__ == '__main__':

     Detect_face(0)