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Jan 2, 2021
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Bump to v0.10 #325

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817fbb6
Bump to v0.10
xvjiarui Jan 2, 2021
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change version
xvjiarui Jan 2, 2021
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -46,7 +46,7 @@ This project is released under the [Apache 2.0 license](LICENSE).

## 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.

## Benchmark and model zoo
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24 changes: 24 additions & 0 deletions docs/changelog.md
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## 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)

**Highlights**
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2 changes: 1 addition & 1 deletion docs/tutorials/training_tricks.md
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# Tutorial 6: Training Tricks
# Tutorial 5: Training Tricks

MMSegmentation support following training tricks out of box.

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2 changes: 1 addition & 1 deletion mmseg/version.py
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# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '0.9.0'
__version__ = '0.10.0'


def parse_version_info(version_str):
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