48c7c9bc4f50a16154d0146262e1acc05ae27d92,niftynet/contrib/layer/rand_elastic_deform.py,RandomElasticDeformationLayer,randomise,#RandomElasticDeformationLayer#Any#Any#,38

Before Change

        self.bspline_transformation = None

    def randomise(self, image_dict, spatial_rank=3):
        images = image_dict.values()
        equal_shapes = np.all([images[0].shape == image.shape for image in images])
        if spatial_rank == 3 and equal_shapes:
            self._randomise_bspline_transformation_3d(images[0].shape)
        else:

After Change

        if not self.do_augmentation:
            pass

        images = list(image_dict.values())
        equal_shapes = np.all([images[0].shape == image.shape for image in images])
        if spatial_rank == 3 and equal_shapes:
            self._randomise_bspline_transformation_3d(images[0].shape)
        else:

Instances