def time_fr(image_folder=None):
embedding_file = 'embeddings.npy'
if os.path.exists(embedding_file):
os.remove(embedding_file)
face_recog = FaceRecognizer(model_path='model/20180402-114759')
if image_folder is None:
image_path = 'faces.jpg'
image_paths = [image_path for i in range(10)]
else:
image_paths = os.listdir(image_folder)
image_paths = [os.path.join(image_folder, p) for p in image_paths if p.endswith('jpg')]
for i, image_path in enumerate(image_paths):
print('running: %d'%i)
image = face_recog.read_image_sp(image_path)
image = resize_image(image)
det_start = time.time()
bboxes, scores, keypoints = face_recog.detect_faces_and_keypoints(image)
det_stop = time.time()
print('detection time = ', det_stop - det_start)
if len(bboxes) == 0:
print('no face detected')
else:
rec_start = time.time()
face_patches = face_recog.prepare_image_patches(image, bboxes, 160, 20)
embeddings = face_recog.extract_embedding(face_patches)
rec_stop = time.time()
print('recognition time = ', rec_stop - rec_start)
