- 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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| .. | ||
| .idea | ||
| data | ||
| models | ||
| scripts | ||
| trainer | ||
| utils | ||
| multi_modal_train.py | ||
| process_video.py | ||
| requirements.txt | ||
| test_image_patch_classifier.py | ||
| test.py | ||
| train2.py | ||
| train.py | ||