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Hello, for datasets like KolektorSDD and KolektorSDD2, the input dimension before entering the model after preprocessing is (704, 256), while for datasets like MVTecAD and mSTC, the input dimension is (256, 256). Does this inconsistency in input dimensions have any impact on the forward operation and the results?
The text was updated successfully, but these errors were encountered:
Hello, for datasets like KolektorSDD and KolektorSDD2, the input dimension before entering the model after preprocessing is (704, 256), while for datasets like MVTecAD and mSTC, the input dimension is (256, 256). Does this inconsistency in input dimensions have any impact on the forward operation and the results?
The text was updated successfully, but these errors were encountered: