【Mind+Python】人脸检测2

import dlib
import os
import cv2


predictor_path  = "shape_predictor_5_face_landmarks.dat"
cap = cv2.VideoCapture(0) # 打开摄像头


detector = dlib.get_frontal_face_detector()

predicator = dlib.shape_predictor(predictor_path)
#win = dlib.image_window()
while cap.isOpened():
  ok, img1 = cap.read()
  if not ok:
            break

  dets = detector(img1,1)
  print("Number of faces detected : {}".format(len(dets)))
  for k,d in enumerate(dets):
    print("Detection {}  left:{}  Top: {} Right {}  Bottom {}".format(
        k,d.left(),d.top(),d.right(),d.bottom()
    ))
    lanmarks = [[p.x,p.y] for p in predicator(img1,d).parts()]
    for idx,point in enumerate(lanmarks):
        point = (point[0],point[1])
        cv2.circle(img1,point,5,(0,0,255),-1)
        font = cv2.FONT_HERSHEY_COMPLEX_SMALL
        cv2.putText(img1,str(idx),point,font,0.6,(0,255,0),1,cv2.LINE_AA)
        #对标记点进行递归；

  cv2.namedWindow("img",cv2.WINDOW_NORMAL)
  cv2.imshow("img",img1)
  c = cv2.waitKey(1)
  if c & 0xFF == ord('q'):
            break
cap.release()#释放摄像头并销毁所有窗口
cv2.destroyAllWindows()






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predictor_path  = "shape_predictor_68_face_landmarks.dat"
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