python 은 dlib 를 이용 하여 사람의 얼굴 을 가 져 오 는 68 개의 landmark

import cv2
import dlib

path = "1.jpg"
img = cv2.imread(path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

#      
detector = dlib.get_frontal_face_detector()
#           
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
#         
dets = detector(gray, 1)#1    （upsample）   0       ,1     ,2     ,       
for face in dets:
  shape = predictor(img, face) #      68    
  #      ，      ，    
  for pt in shape.parts():
    pt_pos = (pt.x, pt.y)
    cv2.circle(img, pt_pos, 2, (0, 0, 255), 1)#img, center, radius, color, thickness

  cv2.imshow("image", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

import cv2
import dlib

path1 = "zxc.jpg"
img = cv2.imread(path1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

#      
detector = dlib.get_frontal_face_detector()
#           
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
#         
dets = detector(gray, 1)#1    （upsample）   0       ,1     ,2     ,       

for i in range(len(dets)):
  shape = predictor(img, dets[i]) #      68    
  #      ，      ，    
  for pt in shape.parts():
    pt_pos = (pt.x, pt.y)
    cv2.circle(img, pt_pos, 2, (0, 0, 255), 1)#img, center, radius, color, thickness

cv2.imshow("image", img)

cv2.waitKey(0)#      
cv2.destroyAllWindows()

import cv2
import dlib
import numpy as np

cap = cv2.VideoCapture(0)#           ，               
cap.isOpened()

def key_points(img):
  points_keys = []
  PREDICTOR_PATH = "shape_predictor_68_face_landmarks.dat"
  detector = dlib.get_frontal_face_detector()
  predictor = dlib.shape_predictor(PREDICTOR_PATH)
  rects = detector(img,1)

  for i in range(len(rects)):
    landmarks = np.matrix([[p.x,p.y] for p in predictor(img,rects[i]).parts()])
    for point in landmarks:
      pos = (point[0,0],point[0,1])
      points_keys.append(pos)
      cv2.circle(img,pos,2,(255,0,0),-1)
  return img

while(True):
  ret, frame = cap.read()#      ，ret,frame cap.read()        。  ret    ，            True，         ，       False。frame        ，      。
  # gray = cv2.cvtColor(frame)
  face_key = key_points(frame)
  cv2.imshow('frame',face_key)
  if cv2.waitKey(1) & 0xFF == ord('q'):
    break

cap.release()#     
cv2.destroyAllWindows()#