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Updates changelog
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CHANGELOG.md
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CHANGELOG.md
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@ -8,6 +8,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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### In Progress
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- [Freezeable layers (encoder/decoder/etc.)](https://github.com/faceshiftlabs/DeepFaceLab/tree/feature/freezable-weights)
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## [1.4.1] - 2020-03-24
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### Fixed
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- When both Background Power and MS-SSIM were enabled, the src and dst losses were being overwritten with the
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"background power" losses. Fixed so "background power" losses are properly added with the total losses.
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- *Note: since all the other losses were being skipped when ms-ssim and background loss were being enabled, this had
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the side-effect of lowering the memory requirements (and raising the max batch size). With this fix, you may
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experience an OOM error on models ran with both these features enabled. I may revisit this in another feature,
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allowing you to manually disable certain loss calculations, for similar performance benefits.*
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## [1.4.0] - 2020-03-24
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### Added
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- [MS-SSIM loss training option](doc/features/ms-ssim)
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@ -60,7 +69,8 @@ This should help with rough areas directly next to the mask
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- Reset stale master branch to [seranus/DeepFaceLab](https://github.com/seranus/DeepFaceLab),
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21 commits ahead of [iperov/DeepFaceLab](https://github.com/iperov/DeepFaceLab) ([compare](https://github.com/iperov/DeepFaceLab/compare/4818183...seranus:3f5ae05))
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[Unreleased]: https://github.com/olivierlacan/keep-a-changelog/compare/v1.4.0...HEAD
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[Unreleased]: https://github.com/olivierlacan/keep-a-changelog/compare/v1.4.1...HEAD
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[1.4.1]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.4.0...v1.4.1
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[1.4.0]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.3.0...v1.4.0
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[1.3.0]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.2.1...v1.3.0
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[1.2.1]: https://github.com/faceshiftlabs/DeepFaceLab/compare/v1.2.0...v1.2.1
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