diff --git a/README.md b/README.md index cddaf7a0af..72d5d6c12d 100644 --- a/README.md +++ b/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. diff --git a/README_zh-CN.md b/README_zh-CN.md index 5469674409..dbedcf0ec3 100644 --- a/README_zh-CN.md +++ b/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。 diff --git a/docker/serve/Dockerfile b/docker/serve/Dockerfile index 1136254832..39ebf55510 100644 --- a/docker/serve/Dockerfile +++ b/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 diff --git a/docs/en/changelog.md b/docs/en/changelog.md index 4a159a5420..8ab6392d48 100644 --- a/docs/en/changelog.md +++ b/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** diff --git a/docs/en/faq.md b/docs/en/faq.md index bbd9417c09..6fab8c215a 100644 --- a/docs/en/faq.md +++ b/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 | diff --git a/docs/zh_cn/faq.md b/docs/zh_cn/faq.md index 0e085f1a70..67742187a2 100644 --- a/docs/zh_cn/faq.md +++ b/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 | diff --git a/mmseg/version.py b/mmseg/version.py index 9f27ecbf3b..c6f06467ba 100644 --- a/mmseg/version.py +++ b/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):