megvii-research/RealFlow

Which data augmentation is applied to train RAFT on RF-Ktrain?

Byungki-Kwon opened this issue · 1 comments

Byungki-Kwon commented

Thanks for releasing the data generation code of excellent work.

I wonder the range of data augmentation to train RAFT on RF-Ktrain, such that 1) crop_size 2) min_scale 3) max_scale 4) do_flip, which are included RAFT/core/dataset.py file.

coolbeam commented

Thank you. We use the official code of RAFT without any modification to train RAFT on our generated datasets. Therefore, the range of data augmentation for training RAFT on RF-Ktrain is the same as that included in RAFT/core/dataset.py file.

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