forked from ecker/DL-Art-School
- Allow image_folder_dataset to normalize inbound images - ExtensibleTrainer can denormalize images on the output path - Support .webp - an output from LSUN - Support logistic GAN divergence loss - Support stylegan2 TF weight extraction for discriminator - New injector that produces latent noise (with separated paths) - Modify FID evaluator to be operable with rosinality-style GANs |
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| .. | ||
| __init__.py | ||
| categorization_loss_eval.py | ||
| evaluator.py | ||
| fid.py | ||
| flow_gaussian_nll.py | ||
| sr_fid.py | ||
| sr_style.py | ||