Bump version to v0.10.0 (#500)

* Bump version to v0.10.0

* update faq

* update Chinese changelog

* update position of 1.x announcement

README.md

@@ -65,18 +65,6 @@ The master branch works with **PyTorch 1.5** or higher.
 
 ## What's New
 
-### Stable version
-
-MMSelfSup **v0.9.2** was released in 28/07/2022.
-
-Highlights of the new version:
-
-- Support MAE Reconstructed Image Visualization
-
-Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
-
-Differences between MMSelfSup and OpenSelfSup codebases can be found in [compatibility.md](docs/en/compatibility.md).
-
 ### Preview of 1.x version
 
 A brand new version of **MMSelfSup v1.0.0rc1** was released in 01/09/2022:
@@ -93,6 +81,18 @@ Highlights of the new version:
 
 Find more new features in [1.x branch](https://github.com/open-mmlab/mmselfsup/tree/1.x). Issues and PRs are welcome!
 
+### Stable version
+
+MMSelfSup **v0.10.0** was released in 30/09/2022.
+
+Highlights of the new version:
+
+- Support MaskFeat
+
+Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
+
+Differences between MMSelfSup and OpenSelfSup codebases can be found in [compatibility.md](docs/en/compatibility.md).
+
 ## Installation
 
 MMSelfSup relies on [PyTorch](https://pytorch.org/), [MMCV](https://github.com/open-mmlab/mmcv) and [MMClassification](https://github.com/open-mmlab/mmclassification).
@@ -138,6 +138,7 @@ Supported algorithms:
 - [x] [MoCo v3 (ICCV'2021)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/mocov3)
 - [x] [MAE (CVPR'2022)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/mae)
 - [x] [SimMIM (CVPR'2022)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/simmim)
+- [x] [MaskFeat (CVPR'2022)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/maskfeat)
 - [x] [CAE (ArXiv'2022)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/cae)
 
 More algorithms are in our plan.

README_zh-CN.md

@@ -65,18 +65,6 @@ MMSelfSup 是一个基于 PyTorch 实现的开源自监督表征学习工具箱
 
 ## 更新
 
-### 稳定版本
-
-最新的 **v0.9.2** 版本已经在 2022.07.28 发布。
-
-新版本亮点：
-
-- 支持 MAE 重建图像的可视化
-
-请参考 [更新日志](docs/zh_cn/changelog.md) 获取更多细节和历史版本信息。
-
-MMSelfSup 和 OpenSelfSup 的不同点写在 [对比文档](docs/en/compatibility.md) 中。
-
 ### 1.x 预览版本
 
 全新的 **MMSelfSup v1.0.0rc1** 版本已在 2022.09.01 发布。
@@ -93,6 +81,18 @@ MMSelfSup 和 OpenSelfSup 的不同点写在 [对比文档](docs/en/compatibilit
 
 在 [1.x 分支](https://github.com/open-mmlab/mmselfsup/tree/1.x) 查看更多新特性。 欢迎大家提 Issues 和 PRs!
 
+### 稳定版本
+
+最新的 **v0.10.0** 版本已经在 2022.09.30 发布。
+
+新版本亮点：
+
+- 支持 MaskFeat
+
+请参考 [更新日志](docs/zh_cn/changelog.md) 获取更多细节和历史版本信息。
+
+MMSelfSup 和 OpenSelfSup 的不同点写在 [对比文档](docs/en/compatibility.md) 中。
+
 ## 安装
 
 MMSelfSup 依赖 [PyTorch](https://pytorch.org/), [MMCV](https://github.com/open-mmlab/mmcv) 和 [MMClassification](https://github.com/open-mmlab/mmclassification).
@@ -138,6 +138,7 @@ MMSelfSup 依赖 [PyTorch](https://pytorch.org/), [MMCV](https://github.com/open
 - [x] [MoCo v3 (ICCV'2021)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/mocov3)
 - [x] [MAE (CVPR'2022)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/mae)
 - [x] [SimMIM (CVPR'2022)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/simmim)
+- [x] [MaskFeat (CVPR'2022)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/maskfeat)
 - [x] [CAE (ArXiv'2022)](https://github.com/open-mmlab/mmselfsup/tree/master/configs/selfsup/cae)
 
 更多的算法实现已经在我们的计划中。

docs/en/changelog.md

@@ -2,6 +2,36 @@
 
 ## MMSelfSup
 
+### v0.10.0 (30/09/2022)
+
+#### Highlight
+
+- Support MaskFeat ([#485](https://github.com/open-mmlab/mmselfsup/pull/485))
+- Update README to announce 1.0.0rc version ([#474](https://github.com/open-mmlab/mmselfsup/pull/474))
+
+#### New Features
+
+- Support MaskFeat ([#485](https://github.com/open-mmlab/mmselfsup/pull/485))
+
+#### Bug Fixes
+
+- Fix DenseCL init weights bug ([#411](https://github.com/open-mmlab/mmselfsup/pull/411))
+- Fix norm typo in config ([#418](https://github.com/open-mmlab/mmselfsup/pull/418))
+- Fix read image bug ([#386](https://github.com/open-mmlab/mmselfsup/pull/386))
+
+#### Improvements
+
+- Change hook_cfg type access ([#409](https://github.com/open-mmlab/mmselfsup/pull/409))
+- Support to dump training config ([#410](https://github.com/open-mmlab/mmselfsup/pull/410))
+- Support to save MAE visualization results ([#388](https://github.com/open-mmlab/mmselfsup/pull/388))
+- Remove default value of deprecated option ([#490](https://github.com/open-mmlab/mmselfsup/pull/490))
+
+#### Docs
+
+- Update the link of MAE ([#497](https://github.com/open-mmlab/mmselfsup/pull/497))
+- Update README to announce 1.0.0rc version ([#474](https://github.com/open-mmlab/mmselfsup/pull/474))
+- Update get_started.md ([#402](https://github.com/open-mmlab/mmselfsup/pull/402))
+
 ### v0.9.2 (28/07/2022)
 
 #### New Features

docs/en/faq.md

@@ -8,7 +8,8 @@ Compatible MMCV, MMClassification, MMDetection and MMSegmentation versions are s
 
 | MMSelfSup version |         MMCV version         |  MMClassification version   | MMSegmentation version | MMDetection version |
 | :---------------: | :--------------------------: | :-------------------------: | :--------------------: | :-----------------: |
-|  0.9.2 (master)   | mmcv-full >= 1.4.2, \< 1.7.0 |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
+|  0.10.0 (master)  | mmcv-full >= 1.4.2, \< 1.7.0 |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
+|       0.9.2       | mmcv-full >= 1.4.2, \< 1.7.0 |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
 |       0.9.1       | mmcv-full >= 1.4.2, \< 1.6.0 |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
 |       0.9.0       |      mmcv-full >= 1.4.2      |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
 |       0.8.0       |      mmcv-full >= 1.4.2      |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |

docs/zh_cn/changelog.md

@@ -2,23 +2,53 @@
 
 ## MMSelfSup
 
+### v0.10.0 (30/09/2022)
+
+#### 亮点
+
+- 支持 MaskFeat ([#485](https://github.com/open-mmlab/mmselfsup/pull/485))
+- 更新 README 宣传 1.0.0rc 版本 ([#474](https://github.com/open-mmlab/mmselfsup/pull/474))
+
+#### 新特性
+
+- 支持 MaskFeat ([#485](https://github.com/open-mmlab/mmselfsup/pull/485))
+
+#### Bug 修复
+
+- 修复 DenseCL 初始化的问题 ([#411](https://github.com/open-mmlab/mmselfsup/pull/411))
+- 修复配置文件中归一化的错误 ([#418](https://github.com/open-mmlab/mmselfsup/pull/418))
+- 修复读取图片的问题 ([#386](https://github.com/open-mmlab/mmselfsup/pull/386))
+
+#### 改进
+
+- 更新 hook_cfg 获取方式 ([#409](https://github.com/open-mmlab/mmselfsup/pull/409))
+- 支持输出配置文件 ([#410](https://github.com/open-mmlab/mmselfsup/pull/410))
+- 支持保存 MAE 可视化结果 ([#388](https://github.com/open-mmlab/mmselfsup/pull/388))
+- 删除废弃项的默认值 ([#490](https://github.com/open-mmlab/mmselfsup/pull/490))
+
+#### 文档
+
+- 更新 MAE 配置文件链接 ([#497](https://github.com/open-mmlab/mmselfsup/pull/497))
+- 更新 README 宣传 1.0.0rc 版本 ([#474](https://github.com/open-mmlab/mmselfsup/pull/474))
+- 更新 get_started 文档 ([#402](https://github.com/open-mmlab/mmselfsup/pull/402))
+
 ### v0.9.2 (28/07/2022)
 
-#### New Features
+#### 新特性
 
 - 支持 MAE 重建图像的可视化 ([#376](https://github.com/open-mmlab/mmselfsup/pull/376))
 
-#### Bug Fixes
+#### Bug 修复
 
 - 修复 extract.py 文件中 cfg/args 路径问题，应用 cfg 中的路径进行处理 ([#357](https://github.com/open-mmlab/mmselfsup/pull/357))
 - 修复 SimMIM 配置文件中掩码生成器类型名称的错误 ([#360](https://github.com/open-mmlab/mmselfsup/pull/360))
 
-#### Improvements
+#### 改进
 
 - 更新 mdformat 设置 ([#323](https://github.com/open-mmlab/mmselfsup/pull/323))
 - 添加 circle ci 配置 ([#374](https://github.com/open-mmlab/mmselfsup/pull/374))
 
-#### Docs
+#### 文档
 
 - 修复语言更换链接问题 ([#327](https://github.com/open-mmlab/mmselfsup/pull/327))
 - 更新 tutorials/4_schedule.md 中的文档链接([#354](https://github.com/open-mmlab/mmselfsup/pull/354))

docs/zh_cn/faq.md

@@ -8,7 +8,8 @@
 
 | MMSelfSup version |         MMCV version         |  MMClassification version   | MMSegmentation version | MMDetection version |
 | :---------------: | :--------------------------: | :-------------------------: | :--------------------: | :-----------------: |
-|  0.9.2 (master)   | mmcv-full >= 1.4.2, \< 1.7.0 |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
+|  0.10.0 (master)  | mmcv-full >= 1.4.2, \< 1.7.0 |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
+|       0.9.2       | mmcv-full >= 1.4.2, \< 1.7.0 |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
 |       0.9.1       | mmcv-full >= 1.4.2, \< 1.6.0 |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
 |       0.9.0       |      mmcv-full >= 1.4.2      |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |
 |       0.8.0       |      mmcv-full >= 1.4.2      |       mmcls >= 0.21.0       |    mmseg >= 0.20.2     |   mmdet >= 2.19.0   |

mmselfsup/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.9.2'
+__version__ = '0.10.0'
 
 
 def parse_version_info(version_str):