def compute_gallery_embeddings(self):
''' Computes embedding vectors for the gallery images. '''
images = []
for full_path in tqdm(self.impaths, desc='Reading gallery images.'):
image = cv2.imread(str(full_path))
if image is None:
log.error("Cannot process image, full_path =", str(full_path))
continue
image = crop_resize(image, self.input_size)
images.append(image)
embeddings = np.vstack([
self.model.predict(image)
for image in tqdm(images,
desc='Computing embeddings of gallery images.')
])
return embeddings
def compute_embedding(self, image):
''' Takes input image and computes embedding vector. '''
image = crop_resize(image, self.input_size)
embedding = self.model.predict(image)
return embedding
