f0ac6351b5ee28846121158b7f0cd34a109bef9a,niftynet/utilities/misc_io.py,,match_volume_shape_to_patch_definition,#Any#Any#,349

Before Change

    if patch is None:
        return None
    spatial_shape = list(image_data.shape[:int(np.ceil(patch.spatial_rank))])
    spatial_shape += [1]*(3-int(np.ceil(patch.spatial_rank)))
    return np.reshape(image_data,spatial_shape+[-1])


def spatial_padding_to_indexes(spatial_padding):

After Change

    //  always casting to 4D input volume [H x W x D x Modality]
    while image_data.ndim > 4:
        image_data = image_data[..., 0]
    while image_data.ndim < 4:
        image_data = np.expand_dims(image_data, axis=-1)
    return image_data


def spatial_padding_to_indexes(spatial_padding):

Instances