Example #1
0
def valid_preprocessing(x, size_target=(448, 448)):
    '''Preprocessing for validation dataset image.

    Args:
        x: input image.
        size_target: a tuple (height, width) of the target size.

    Returns:
        Preprocessed image.
    '''
    return normalize_image(center_crop_image(
        resize_image(x, size_target=size_target, flg_keep_aspect=True)),
                           mean=[123.82988033, 127.3509729, 110.25606303])
Example #2
0
def train_preprocessing(x):
    '''Preprocessing for train dataset image.

    Args:
        x: input image.
        size_target: a tuple (height, width) of the target size.

    Returns:
        Preprocessed image.
    '''

    return resize_image(x, size_target=size_target, flg_keep_aspect=True)

    return normalize_image(random_crop_image(
        horizontal_flip_image(
            resize_image(x, size_target=size_target, flg_keep_aspect=True))),
                           mean=[123.82988033, 127.3509729, 110.25606303])