Test validation augmentation

[NathanMolinier]

Description

This PR allow to run augmentations during validation to save a different set of weights

[NathanMolinier]

Results on AMOS22: Models are trained solely on AMOS22 CT. The probability of data augmentation being applied to validation samples is referenced after validation_aug_XX

[Hendrik-code]

Results on AMOS22: Models are trained solely on AMOS22 CT. The probability of data augmentation being applied to validation samples is referenced after validation_aug_XX

I think I need more explanation
what is OSSTA?
but sounds nice, looks like 0.5 yields the overall best results, right?

[NathanMolinier]

This is One Sequence to Segment Them All (OSSTA) the MICCAI version. I realize that I did train the Augmentation validation with the parameters of the current transform GPU that include Paul's code. My codebase was a bit messy, I trained on different branches. Maybe I can retrain it, but the code should work