python dlib opencv 人脸68点特征检测

不得不感慨，现在现成的东西太多了，直接拿来用就行了

dlib安装（指定版本安装，避免踩坑）

pip install dlib==19.7.

dlib中训练好的文件http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2

下载解压到项目中

代码

 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)

效果图

真好使啊~~~