Bump to v0.10 (#325)

* Bump to v0.10

* change version
pull/1801/head
Jerry Jiarui XU 2021-01-02 15:29:56 -08:00 committed by GitHub
parent 95cd2700d7
commit 5eafe8f6df
4 changed files with 27 additions and 3 deletions

View File

@ -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

View File

@ -1,5 +1,29 @@
## 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**

View File

@ -1,4 +1,4 @@
# Tutorial 6: Training Tricks
# Tutorial 5: Training Tricks
MMSegmentation support following training tricks out of box.

View File

@ -1,6 +1,6 @@
# Copyright (c) Open-MMLab. All rights reserved.
__version__ = '0.9.0'
__version__ = '0.10.0'
def parse_version_info(version_str):