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This should to be more clearly documented in the docs init. From the docs one expects building segmentation to be a binary classification task, but that throws errors then during training with the updated values. I spend an hour and was close to opening a Kornia issue, because I couldn't figure out why a normalization transform would change the values of the mask.
Oh wow I just went through this exact same thing last night -- was losing my mind for a bit. Was going to open an issue today. The +1 doesn't make sense as in the SN2 data, at least, as there are all black areas that map to class 0 already.
This should to be more clearly documented in the docs init. From the docs one expects building segmentation to be a binary classification task, but that throws errors then during training with the updated values. I spend an hour and was close to opening a Kornia issue, because I couldn't figure out why a normalization transform would change the values of the mask.
torchgeo/torchgeo/datamodules/spacenet.py
Line 86 in ba0680a
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