What is the functionality of "seq.to_deterministic()"?

I notice that in the example of README.md, all examples related with augmenting landmark points have a following line of code. However, it seems that the examples that only augment images do not. seq_det = seq.to_deterministic() # call this for each batch again, NOT only once at the start Is it necessary only for landmarks augmentation?

[aleju]

to_deterministic() removes the randomness from all augmenters and makes them deterministic (e.g. for each parameter that comes from a distribution, it samples one value from that distribution and then keeps reusing that value). That is useful for landmark augmentation, because you want to transform images and their landmarks in the same way, e.g. rotate an image and its landmarks by 30 degrees. If you don’t have landmarks, then you most likely don’t need the function.

[matthewmav]

I think it’s worth more documentation. Thank you, George