TSVIT classification experiment

[sfalkena]

Hi @michaeltrs, first thanks for the interesting paper and the well documented codebase!

I want to see if I can reproduce your experiments on object classification on PASTIS-24. In the paper and supplementary material it is mentioned that:

To make the PASTIS classification dataset we took advantage of the object instance ids provided to extract 24 × 24 pixel regions whose center pixel falls inside each object and use the class of this object as the sample class.

Although I do see the experiment of classification_train_transf.py and there is a TSViT_cls.yaml configuration, it points to PASTIS24_cls dataset, which does not exist in datasets.yaml. So far I understood that get_pastis_dataloader is used for classification as well.

Would you have the exact code available that you used to generate PASTIS24-cls? I assume it is a variant of data2windows.py.

Thanks!