def get_processed_image(img_crop):
# Load image and convert from BGR to RGB
im = np.asarray(img_crop)[:, :, ::-1]
im = cv2.resize(im, (299, 299))
im = inception_v4.preprocess_input(im)
if K.image_data_format() == "channels_first":
im = np.transpose(im, (2, 0, 1))
im = im.reshape(-1, 3, 299, 299)
else:
im = im.reshape(-1, 299, 299, 3)
return im
def get_processed_image(img_path):
# Load image and convert from BGR to RGB
im = cv2.imread(img_path)
if im is None:
return None
im = np.asarray(im)[:, :, ::-1]
im = central_crop(im, 0.875)
im = cv2.resize(im, (299, 299))
im = inception_v4.preprocess_input(im)
if K.image_data_format() == "channels_first":
im = np.transpose(im, (2, 0, 1))
return im
