bump v0.30.0 (#2462)

README.md

@@ -77,16 +77,16 @@ The master branch works with **PyTorch 1.5+**.
 
 ### 💎 Stable version
 
-v0.29.1 was released on 11/3/2022:
+v0.30.0 was released on 01/11/2023:
 
-- Add model ensemble tools
-- Update documents
+- Add 'Projects/' folder, and the first example project
+- Support Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
 
 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 v1.0.0rc1** was released in 02/11/2022:
+A brand new version of **MMSegmentation v1.0.0rc3** was released in 12/31/2022:
 
 - 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

@@ -74,16 +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 v0.29.1 在 2022.11.03 发布：
+最新版本 v0.30.0 在 2023.01.11 发布：
 
-- 添加模型集成工具
-- 更新文档
+- 添加 projects 目录以及示例项目
+- 支持高质量合成人脸数据集
 
 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 v1.0.0rc1** 版本已经在 2022.11.02 发布：
+全新的 **MMSegmentation v1.0.0rc3** 版本已经在 2022.12.31 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="0.29.1"
+ARG MMSEG="0.30.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/en/changelog.md

@@ -1,5 +1,34 @@
 ## Changelog
 
+### V0.30.0 (01/09/2023)
+
+**New Features**
+
+- Support Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets ([#2194](https://github.com/open-mmlab/mmsegmentation/pull/2194))
+
+**Bug Fixes**
+
+- Fix incorrect `test_cfg` setting in UNet base configs ([#2347](https://github.com/open-mmlab/mmsegmentation/pull/2347))
+- Fix KNet `IterativeDecodeHead` bug in master branch ([#2333](https://github.com/open-mmlab/mmsegmentation/pull/2333))
+- Fix deadlock issue related with MMSegWandbHook ([#2398](https://github.com/open-mmlab/mmsegmentation/pull/2398))
+
+**Enhancement**
+
+- Update CI and pre-commit checking ([#2309](https://github.com/open-mmlab/mmsegmentation/pull/2309),[#2331](https://github.com/open-mmlab/mmsegmentation/pull/2331))
+- Add `Projects/` folder, and the first example project in 0.x ([#2457](https://github.com/open-mmlab/mmsegmentation/pull/2457))
+- Fix the deprecation of `np.float` and CI configuration problems ([#2451](https://github.com/open-mmlab/mmsegmentation/pull/2451))
+
+**Documentation**
+
+- Add high quality synthetic face occlusion dataset link to readme ([#2453](https://github.com/open-mmlab/mmsegmentation/pull/2453))
+- Fix the docstring error in the `PascalContextDataset59` class ([#2450](https://github.com/open-mmlab/mmsegmentation/pull/2450))
+
+**Contributors**
+
+- @smttsp made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2347
+- @MilkClouds made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2398
+- @Spritea made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2450
+
 ### V0.29.1 (11/3/2022)
 
 **New Features**

docs/en/faq.md

@@ -9,6 +9,7 @@ The compatible MMSegmentation and MMCV versions are as below. Please install the
 | MMSegmentation version |        MMCV version         | MMClassification version |
 | :--------------------: | :-------------------------: | :----------------------: |
 |         master         |  mmcv-full>=1.5.0, \<1.8.0  | mmcls>=0.20.1, \<=1.0.0  |
+|         0.30.0         |  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  |

docs/zh_cn/faq.md

@@ -9,6 +9,7 @@
 | MMSegmentation version |        MMCV version         | MMClassification version |
 | :--------------------: | :-------------------------: | :----------------------: |
 |         master         |  mmcv-full>=1.5.0, \<1.8.0  | mmcls>=0.20.1, \<=1.0.0  |
+|         0.30.0         |  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  |

mmseg/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.29.1'
+__version__ = '0.30.0'
 
 
 def parse_version_info(version_str):