I am working on a project where I am tracking the roll estimations for a face in an image. When I possibly rotate an image using a Sequence of probabilistic augmentations, I need to return the rotation that occurred (if any).

train_aug = Sequential(
[
Resize(tgt_img_size[:2], interpolation="linear"),
Fliplr(0.3),
Sometimes(0.3, Affine(rotate=10)),
]
)

Calling get_parameters() returns the distributions but not the parameters that were sampled from the distributions.

What I really need is something like:
{
flipped_lr: True,
rotate: [True, -4.5]
}

I would appreciate a code snippet demonstrating how people track imgaug operations performed like described above. I appreciate that this project is not being actively maintained, but I do believe that this already exists and I am just missing some documentation on it or a code example.

Thanks in advance.