utils.py 文件源码

def load_images(image_list):
    '''
    Given a list of images, returns a numpy tensor of those images.
    '''
    images = []
    for i in image_list:
        c_img = np.expand_dims(image.img_to_array(image.load_img(i, target_size = (224, 224))), axis = 0)
        images.append(c_img)
    return preprocess_input(np.vstack(images))