Merge pull request #2257 from xiexinch/bumpv0.29.1

bumpv0.29.1

README.md

@@ -77,15 +77,16 @@ The master branch works with **PyTorch 1.5+**.
 
 ### 💎 Stable version
 
-v0.29.0 was released on 10/10/2022:
+v0.29.1 was released on 11/3/2022:
 
-- Support PoolFormer (CVPR'2022)
+- Add model ensemble tools
+- Update documents
 
 Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
 
 ### 🌟 Preview of 1.x version
 
-A brand new version of **MMSegmentation v1.0.0rc0** was released in 31/8/2022:
+A brand new version of **MMSegmentation v1.0.0rc1** was released in 02/11/2022:
 
 - Unifies interfaces of all components based on [MMEngine](https://github.com/open-mmlab/mmengine).
 - Faster training and testing speed with complete support of mixed precision training.

README_zh-CN.md

@@ -74,15 +74,16 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
 
 ### 💎 稳定版本
 
-最新版本 v0.29.0 在 2022.10.10 发布：
+最新版本 v0.29.1 在 2022.11.03 发布：
 
-- 支持 PoolFormer (CVPR'2022)
+- 添加模型集成工具
+- 更新文档
 
 如果想了解更多版本更新细节和历史信息，请阅读[更新日志](docs/en/changelog.md)。
 
 ### 🌟 1.x 预览版本
 
-全新的 **MMSegmentation v1.0.0rc0** 版本已经在 2022.8.31 发布：
+全新的 **MMSegmentation v1.0.0rc1** 版本已经在 2022.11.02 发布：
 
 - 基于 [MMEngine](https://github.com/open-mmlab/mmengine) 统一了各组件接口。
 - 全面支持混合精度，训练测试速度更快。

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="8"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.5.0"
-ARG MMSEG="0.29.0"
+ARG MMSEG="0.29.1"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/en/changelog.md

@@ -1,5 +1,27 @@
 ## Changelog
 
+### V0.29.1 (11/3/2022)
+
+**New Features**
+
+- Add model ensemble tools ([#2218](https://github.com/open-mmlab/mmsegmentation/pull/2218))
+
+**Bug Fixes**
+
+- Use SyncBN in MobileNetV2 ([#2207](https://github.com/open-mmlab/mmsegmentation/pull/2207))
+
+**Documentation**
+
+- Update FAQ doc about binary segmentation and ReduceZeroLabel ([#2206](https://github.com/open-mmlab/mmsegmentation/pull/2206))
+- Fix typos ([#2249](https://github.com/open-mmlab/mmsegmentation/pull/2249))
+- Fix model results ([#2190](https://github.com/open-mmlab/mmsegmentation/pull/2190), [#2114](https://github.com/open-mmlab/mmsegmentation/pull/2114))
+
+**Contributors**
+
+- @isLinXu made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2219
+- @zhijiejia made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2218
+- @lee-jinhee made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2249
+
 ### V0.29.0 (10/10/2022)
 
 **New Features**

docs/en/faq.md

@@ -8,7 +8,8 @@ The compatible MMSegmentation and MMCV versions are as below. Please install the
 
 | MMSegmentation version |        MMCV version         | MMClassification version |
 | :--------------------: | :-------------------------: | :----------------------: |
-|         master         |  mmcv-full>=1.5.0, \<1.7.0  | mmcls>=0.20.1, \<=1.0.0  |
+|         master         |  mmcv-full>=1.5.0, \<1.8.0  | mmcls>=0.20.1, \<=1.0.0  |
+|         0.29.1         |  mmcv-full>=1.5.0, \<1.8.0  | mmcls>=0.20.1, \<=1.0.0  |
 |         0.29.0         |  mmcv-full>=1.5.0, \<1.7.0  | mmcls>=0.20.1, \<=1.0.0  |
 |         0.28.0         |  mmcv-full>=1.5.0, \<1.7.0  | mmcls>=0.20.1, \<=1.0.0  |
 |         0.27.0         |  mmcv-full>=1.5.0, \<1.7.0  | mmcls>=0.20.1, \<=1.0.0  |

docs/zh_cn/faq.md

@@ -8,7 +8,8 @@
 
 | MMSegmentation version |        MMCV version         | MMClassification version |
 | :--------------------: | :-------------------------: | :----------------------: |
-|         master         |  mmcv-full>=1.5.0, \<1.7.0  | mmcls>=0.20.1, \<=1.0.0  |
+|         master         |  mmcv-full>=1.5.0, \<1.8.0  | mmcls>=0.20.1, \<=1.0.0  |
+|         0.29.1         |  mmcv-full>=1.5.0, \<1.8.0  | mmcls>=0.20.1, \<=1.0.0  |
 |         0.29.0         |  mmcv-full>=1.5.0, \<1.7.0  | mmcls>=0.20.1, \<=1.0.0  |
 |         0.28.0         |  mmcv-full>=1.5.0, \<1.7.0  | mmcls>=0.20.1, \<=1.0.0  |
 |         0.27.0         |  mmcv-full>=1.5.0, \<1.7.0  | mmcls>=0.20.1, \<=1.0.0  |

mmseg/__init__.py

@@ -7,7 +7,7 @@ from packaging.version import parse
 from .version import __version__, version_info
 
 MMCV_MIN = '1.3.13'
-MMCV_MAX = '1.7.0'
+MMCV_MAX = '1.8.0'
 
 
 def digit_version(version_str: str, length: int = 4):

mmseg/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.29.0'
+__version__ = '0.29.1'
 
 
 def parse_version_info(version_str):