[Docs] Changelog v0.22.0 (#1490)

* master

* master 0721

* add README

* 1231 bump_version

* 0207 slowfast steplr

* 0207

* add docs v0.22.0

* 0305 add changelog

* 0305 add changelog

* v0.22.0

README.md

@@ -79,7 +79,7 @@ The master branch works with **PyTorch 1.3+**.
 - (2021-10-25) We provide a [guide](https://github.com/open-mmlab/mmaction2/blob/master/configs/skeleton/posec3d/custom_dataset_training.md) on how to train PoseC3D with custom datasets, [bit-scientist](https://github.com/bit-scientist) authored this PR!
 - (2021-10-16) We support **PoseC3D** on UCF101 and HMDB51, achieves 87.0% and 69.3% Top-1 accuracy with 2D skeletons only. Pre-extracted 2D skeletons are also available.
 
-**Release**: v0.21.0 was released in 31/12/2021. Please refer to [changelog.md](docs/changelog.md) for details and release history.
+**Release**: v0.22.0 was released in 05/03/2022. Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 ## Installation
 

README_zh-CN.md

@@ -78,7 +78,7 @@ MMAction2 是一款基于 PyTorch 的视频理解开源工具箱，是 [OpenMMLa
 - (2021-10-25) 提供使用自定义数据集训练 PoseC3D 的 [教程](https://github.com/open-mmlab/mmaction2/blob/master/configs/skeleton/posec3d/custom_dataset_training.md)，此 PR 由用户 [bit-scientist](https://github.com/bit-scientist) 完成！
 - (2021-10-16) 在 UCF101, HMDB51 上支持 **PoseC3D**，仅用 2D 关键点就可分别达到 87.0% 和 69.3% 的识别准确率。两数据集的预提取骨架特征可以公开下载。
 
-v0.21.0 版本已于 2021 年 12 月 31 日发布，可通过查阅 [更新日志](/docs/changelog.md) 了解更多细节以及发布历史
+v0.22.0 版本已于 2022 年 3 月 5 日发布，可通过查阅 [更新日志](/docs/changelog.md) 了解更多细节以及发布历史
 
 ## 安装
 

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.3.8"
-ARG MMACTION="0.21.0"
+ARG MMACTION="0.22.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/changelog.md

@@ -1,5 +1,58 @@
 ## Changelog
 
+### 0.22.0 (03/05/2022)
+
+**Highlights**
+
+- Support Multigrid training strategy
+- Support CPU training
+- Support audio demo
+- Support topk customizing in models/heads/base.py
+
+**New Features**
+
+- Support Multigrid training strategy([#1378](https://github.com/open-mmlab/mmaction2/pull/1378))
+- Support STGCN in demo_skeleton.py([#1391](https://github.com/open-mmlab/mmaction2/pull/1391))
+- Support CPU training([#1407](https://github.com/open-mmlab/mmaction2/pull/1407))
+- Support audio demo([#1425](https://github.com/open-mmlab/mmaction2/pull/1425))
+- Support topk customizing in models/heads/base.py([#1452](https://github.com/open-mmlab/mmaction2/pull/1452))
+
+**Documentations**
+
+- Add OpenMMLab platform([#1393](https://github.com/open-mmlab/mmaction2/pull/1393))
+- Update links([#1394](https://github.com/open-mmlab/mmaction2/pull/1394))
+- Update readme in configs([#1404](https://github.com/open-mmlab/mmaction2/pull/1404))
+- Update instructions to install mmcv-full([#1426](https://github.com/open-mmlab/mmaction2/pull/1426))
+- Add shortcut([#1433](https://github.com/open-mmlab/mmaction2/pull/1433))
+- Update modelzoo([#1439](https://github.com/open-mmlab/mmaction2/pull/1439))
+- add video_structuralize in readme([#1455](https://github.com/open-mmlab/mmaction2/pull/1455))
+- Update OpenMMLab repo information([#1482](https://github.com/open-mmlab/mmaction2/pull/1482))
+
+**Bug and Typo Fixes**
+
+- Update train.py([#1375](https://github.com/open-mmlab/mmaction2/pull/1375))
+- Fix printout bug([#1382]((https://github.com/open-mmlab/mmaction2/pull/1382)))
+- Update multi processing setting([#1395](https://github.com/open-mmlab/mmaction2/pull/1395))
+- Setup multi processing both in train and test([#1405](https://github.com/open-mmlab/mmaction2/pull/1405))
+- Fix bug in nondistributed multi-gpu training([#1406](https://github.com/open-mmlab/mmaction2/pull/1406))
+- Add variable fps in  ava_dataset.py([#1409](https://github.com/open-mmlab/mmaction2/pull/1409))
+- Only support distributed training([#1414](https://github.com/open-mmlab/mmaction2/pull/1414))
+- Set test_mode for AVA configs([#1432](https://github.com/open-mmlab/mmaction2/pull/1432))
+- Support single label([#1434](https://github.com/open-mmlab/mmaction2/pull/1434))
+- Add check copyright([#1447](https://github.com/open-mmlab/mmaction2/pull/1447))
+- Support Windows CI([#1448](https://github.com/open-mmlab/mmaction2/pull/1448))
+- Fix wrong device of class_weight in models/losses/cross_entropy_loss.py([#1457](https://github.com/open-mmlab/mmaction2/pull/1457))
+- Fix bug caused by distributed([#1459](https://github.com/open-mmlab/mmaction2/pull/1459))
+- Update readme([#1460](https://github.com/open-mmlab/mmaction2/pull/1460))
+- Fix lint caused by colab automatic upload([#1461](https://github.com/open-mmlab/mmaction2/pull/1461))
+- Refine CI([#1471](https://github.com/open-mmlab/mmaction2/pull/1471))
+- Update pre-commit([#1474](https://github.com/open-mmlab/mmaction2/pull/1474))
+- Add deprecation message for deploy tool([#1483](https://github.com/open-mmlab/mmaction2/pull/1483))
+
+**ModelZoo**
+
+- Support slowfast_steplr([#1421](https://github.com/open-mmlab/mmaction2/pull/1421))
+
 ### 0.21.0 (31/12/2021)
 
 **Highlights**

mmaction/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.21.0'
+__version__ = '0.22.0'
 
 
 def parse_version_info(version_str):