Thanks, @QuantScientist. Is it possible to apply a more sophisticated composition of transformation (e.g blurring)? The transformation I used is something like this:
t_ims = ut.transform_ims(data.numpy(), [zoom_level, rot_angle, tx, ty, blur_sigma])
In addition, is it possible to add two or more transformations to the training data instead one one?