UDoc-GAN
UDoc-GAN copied to clipboard
why two different pre-trained models?
I would like to ask why do you have two different pre-trained models for doctr and dewarpnet.Apart from training docproj datasets together, are there any differences between them?
one is for the doctr geometric model and the other uses the dewarpnet geometric model.
Are they all trained on docproj datasets? Since there are different models for the two geometric correction methods,I think they should have different settings at somewhere.