python+OpenCv+dlib实现人脸68个关键点检测

 import sys

    
 import os
    
 import dlib
    
 import glob
    
 from skimage import io
    
 import numpy as np
    
 import cv2
    
 import time
    
  
    
  
    
 cap = cv2.VideoCapture(0)
    
 # fourcc = cv2.VideoWriter_fourcc(*'XVID')
    
  
    
 # out = cv2.VideoWriter('output.avi',fourcc, 20.0, (1280, 720))
    
  
    
 predictor_path = 'shape_predictor_81_face_landmarks.dat'
    
 predictor_path = 'shape_predictor_68_face_landmarks.dat'
    
  
    
 detector = dlib.get_frontal_face_detector()
    
 predictor = dlib.shape_predictor(predictor_path)
    
  
    
 while(cap.isOpened()):
    
     ret, frame = cap.read()
    
     frame=cv2.resize(frame,(500,400))
    
     # img_gray = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)
    
     start = time.time()
    
     frame = cv2.flip(frame, 1)
    
     dets = detector(frame, 0)
    
     for k, point in enumerate(dets):
    
  
    
     shape = predictor(frame, point)
    
     landmarks = np.matrix([[p.x, p.y] for p in shape.parts()])
    
     for num in range(shape.num_parts):
    
         cv2.circle(frame, (shape.parts()[num].x, shape.parts()[num].y), 1, (0,255,0), -1)
    
     print("time ->", time.time()-start)
    
     cv2.imshow('frame', frame)
    
     # out.write(frame)
    
     if cv2.waitKey(1) & 0xFF == ord('q'):
    
     print("q pressed")
    
     break
    
  
    
  
    
 cap.release()
    
 # out.release()
    
  
    
 cv2.destroyAllWindows()