可以讀取到人臉上的68個特徵點，可以利用這些特徵點做點有意思的事
# -*- coding: utf-8 -*-
"""created on thu jan 14 16:49:37 2021
@author: yuyanchuan
"""import dlib
import cv2
import os
predictor_path=
'shape_predictor_68_face_landmarks.dat'
detector=dlib.get_frontal_face_detector(
)sp=dlib.shape_predictor(os.path.join(
"f:\code\pythoncode\dlib\shape_predictor_68_face_landmarks"
,predictor_path)
)point_size =
1point_color =(0
,0,255
)# bgr
thickness =
4# 可以為 0 、4、8
cap=cv2.videocapture(0)
while
true
:#ret,frame=cap.read()
frame=cv2.imread(
"gyy1.png"
)#if not cap.isopened():
#print("開啟攝像頭")
dets=detector(frame,1)
img=frame.copy(
)print
(frame.shape)
num_faces=
len(dets)
if num_faces==0:
print
("沒有發現人臉"
) cv2.puttext(frame,
'faces:{}'
.format
(num_faces),(
10,30)
,cv2.font_hershey_plain,2,
(0,0
,255),
2)faces=dlib.full_object_detections(
)for k,d in
enumerate
(dets):)
print
(d.left())
#cv2.rectangle(frame,(d.left(),d.top()),(d.right(),d.bottom()),[0,255,0],3)
shape = sp(frame, d)
for index, pt in
enumerate
(shape.parts())
: pt_pos=
(pt.x,pt.y)
cv2.circle(frame, pt_pos, point_size, point_color, thickness)
#利用cv2.puttext輸出1-68
font = cv2.font_hershey_******x
cv2.puttext(frame,
str(index+1)
,pt_pos,font,
0.3,(0
,0,255),
1, cv2.line_aa)
cv2.puttext(frame,
'press esc quit',(
10,450)
,cv2.font_hershey_plain,2,
(0,0
,255),
2)
cv2.imshow(
'image'
,frame)
if cv2.waitkey(10)
==27
:break
cv2.destroyallwindows(
)
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