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## Changelog
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v0.9.0 was released in 30/11/2020.
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v0.10.0 was released in 01/01/2021.
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Please refer to [changelog.md](docs/changelog.md) for details and release history.
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## Benchmark and model zoo
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## Changelog
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### V0.10 (01/01/2021)
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**Highlights**
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- Support MobileNetV3, DMNet, APCNet. Add models of ResNet18V1b, ResNet18V1c, ResNet50V1b.
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**Bug Fixes**
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- Fixed CPU TTA ([#276](https://github.com/open-mmlab/mmsegmentation/pull/276))
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- Fixed CI for pip 20.3 ([#307](https://github.com/open-mmlab/mmsegmentation/pull/307))
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**New Features**
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- Add ResNet18V1b, ResNet18V1c, ResNet50V1b OS16 models ([#316](https://github.com/open-mmlab/mmsegmentation/pull/316))
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- Support MobileNetV3 ([#268](https://github.com/open-mmlab/mmsegmentation/pull/268))
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- Add 4 retinal vessel segmentation benchmark ([#315](https://github.com/open-mmlab/mmsegmentation/pull/315))
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- Support DMNet ([#313](https://github.com/open-mmlab/mmsegmentation/pull/313))
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- Support APCNet ([#299](https://github.com/open-mmlab/mmsegmentation/pull/299))
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**Improvements**
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- Refactor Documentation page ([#311](https://github.com/open-mmlab/mmsegmentation/pull/311))
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- Support resize data augmentation according to original image size ([#291](https://github.com/open-mmlab/mmsegmentation/pull/291))
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### V0.9 (30/11/2020)
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**Highlights**
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@ -1,4 +1,4 @@
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# Tutorial 6: Training Tricks
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# Tutorial 5: Training Tricks
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MMSegmentation support following training tricks out of box.
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@ -1,6 +1,6 @@
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# Copyright (c) Open-MMLab. All rights reserved.
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__version__ = '0.9.0'
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__version__ = '0.10.0'
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def parse_version_info(version_str):
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Reference in New Issue