OpenCV + Dlib对人脸位置进行校准

2018-02-27 11:36:55来源:oschina作者:IOTService人点击

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# coding:utf-8
'''
人脸位置校准
'''
import cv2
import dlib
predictor_path = 'temp/dlib/shape_predictor_5_face_landmarks.dat'
detector = dlib.get_frontal_face_detector()
sp = dlib.shape_predictor(predictor_path)
camera = cv2.VideoCapture(0)
if not camera.isOpened():
print("cannot open camear")
exit(0)
while True:
ret,frame = camera.read()if not ret:
continue
cv2.imshow('camera',frame)
frame_new = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
# 检测脸部
dets = detector(frame_new, 1)
print("Number of faces detected: {}".format(len(dets)))
num_faces = len(dets)
if num_faces == 0:
print("Sorry, there were no faces found in current frame")
continue
# 查找脸部位置
faces = dlib.full_object_detections()
for detection in dets:
faces.append(sp(frame_new, detection))
images = dlib.get_face_chips(frame_new, faces, size=320)
for image in images:
cv_bgr_img = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
cv2.imshow('image',cv_bgr_img)
image = dlib.get_face_chip(frame_new, faces[0])
cv_bgr_img = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
cv2.imshow('image',cv_bgr_img)key = cv2.waitKey(1)
if key == 27:
break
cv2.destroyAllWindows()

程序运行结果:


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