[WiP] Sen4Map inheritance class change to geobench-compatible datamodule and dataset classes #227
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Issue first raised in #226, Sen4map dataclass and datamodule classes currently only inherit from pytorch lightning, which is functionally adequate for terratorch but will not work with benchmark. I have updated the datamodule class to inherit from NonGeoDataModule, which required a few extra changes.
To get the Sen4map datamodule class to work with inheritance from NonGeoDataModule I had to define a custom augmentation
self.aug = AugmentationSequential(K.RandomEqualize3D(), data_keys=None)
, is this okay? What is the default augmentation and why does it only (seemingly) work for BCHW tensors and not BCDHW tensors?