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Adds bug fix to changelog

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jh 2021-05-08 14:06:01 -07:00
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5
CHANGELOG.md
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@ -4,6 +4,10 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [1.6.2] - 2021-05-08
### Fixed
- Fixed bug with GAN smoothing/noisy labels with certain versions of Tensorflow
## [1.6.1] - 2021-05-04 ## [1.6.1] - 2021-05-04
### Fixed ### Fixed
- Fixed bug when `fs-aug` used on model with same resolution as dataset - Fixed bug when `fs-aug` used on model with same resolution as dataset
@ -88,6 +92,7 @@ This should help with rough areas directly next to the mask
- Reset stale master branch to [seranus/DeepFaceLab](https://github.com/seranus/DeepFaceLab), - Reset stale master branch to [seranus/DeepFaceLab](https://github.com/seranus/DeepFaceLab),
21 commits ahead of [iperov/DeepFaceLab](https://github.com/iperov/DeepFaceLab) ([compare](https://github.com/iperov/DeepFaceLab/compare/4818183...seranus:3f5ae05)) 21 commits ahead of [iperov/DeepFaceLab](https://github.com/iperov/DeepFaceLab) ([compare](https://github.com/iperov/DeepFaceLab/compare/4818183...seranus:3f5ae05))
[1.6.2]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.6.1...v1.6.2
[1.6.1]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.6.0...v1.6.1 [1.6.1]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.6.0...v1.6.1
[1.6.0]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.5.1...v1.6.0 [1.6.0]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.5.1...v1.6.0
[1.5.1]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.5.0...v1.5.1 [1.5.1]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.5.0...v1.5.1

2
models/Model_SAEHD/Model.py
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@ -145,7 +145,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ...
default_gan_patch_size = self.options['gan_patch_size'] = self.load_or_def_option('gan_patch_size', self.options['resolution'] // 8) default_gan_patch_size = self.options['gan_patch_size'] = self.load_or_def_option('gan_patch_size', self.options['resolution'] // 8)
default_gan_dims = self.options['gan_dims'] = self.load_or_def_option('gan_dims', 16) default_gan_dims = self.options['gan_dims'] = self.load_or_def_option('gan_dims', 16)
default_gan_smoothing = self.options['gan_smoothing'] = self.load_or_def_option('gan_smoothing', 0.1) default_gan_smoothing = self.options['gan_smoothing'] = self.load_or_def_option('gan_smoothing', 0.1)
default_gan_noise = self.options['gan_noise'] = self.load_or_def_option('gan_noise', 0.05) default_gan_noise = self.options['gan_noise'] = self.load_or_def_option('gan_noise', 0.0)
if self.is_first_run() or ask_override: if self.is_first_run() or ask_override:
self.options['models_opt_on_gpu'] = io.input_bool ("Place models and optimizer on GPU", default_models_opt_on_gpu, help_message="When you train on one GPU, by default model and optimizer weights are placed on GPU to accelerate the process. You can place they on CPU to free up extra VRAM, thus set bigger dimensions.") self.options['models_opt_on_gpu'] = io.input_bool ("Place models and optimizer on GPU", default_models_opt_on_gpu, help_message="When you train on one GPU, by default model and optimizer weights are placed on GPU to accelerate the process. You can place they on CPU to free up extra VRAM, thus set bigger dimensions.")