Bump to v0.10 (#325)

* Bump to v0.10

* change version
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Jerry Jiarui XU 2021-01-02 15:29:56 -08:00 committed by GitHub
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## Changelog ## Changelog
v0.9.0 was released in 30/11/2020. v0.10.0 was released in 01/01/2021.
Please refer to [changelog.md](docs/changelog.md) for details and release history. Please refer to [changelog.md](docs/changelog.md) for details and release history.
## Benchmark and model zoo ## Benchmark and model zoo

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## Changelog ## Changelog
### V0.10 (01/01/2021)
**Highlights**
- Support MobileNetV3, DMNet, APCNet. Add models of ResNet18V1b, ResNet18V1c, ResNet50V1b.
**Bug Fixes**
- Fixed CPU TTA ([#276](https://github.com/open-mmlab/mmsegmentation/pull/276))
- Fixed CI for pip 20.3 ([#307](https://github.com/open-mmlab/mmsegmentation/pull/307))
**New Features**
- Add ResNet18V1b, ResNet18V1c, ResNet50V1b OS16 models ([#316](https://github.com/open-mmlab/mmsegmentation/pull/316))
- Support MobileNetV3 ([#268](https://github.com/open-mmlab/mmsegmentation/pull/268))
- Add 4 retinal vessel segmentation benchmark ([#315](https://github.com/open-mmlab/mmsegmentation/pull/315))
- Support DMNet ([#313](https://github.com/open-mmlab/mmsegmentation/pull/313))
- Support APCNet ([#299](https://github.com/open-mmlab/mmsegmentation/pull/299))
**Improvements**
- Refactor Documentation page ([#311](https://github.com/open-mmlab/mmsegmentation/pull/311))
- Support resize data augmentation according to original image size ([#291](https://github.com/open-mmlab/mmsegmentation/pull/291))
### V0.9 (30/11/2020) ### V0.9 (30/11/2020)
**Highlights** **Highlights**

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# Tutorial 6: Training Tricks # Tutorial 5: Training Tricks
MMSegmentation support following training tricks out of box. MMSegmentation support following training tricks out of box.

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# Copyright (c) Open-MMLab. All rights reserved. # Copyright (c) Open-MMLab. All rights reserved.
__version__ = '0.9.0' __version__ = '0.10.0'
def parse_version_info(version_str): def parse_version_info(version_str):