From eeeaff942169dea8424cd930b4306109afdba1d0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E8=B0=A2=E6=98=95=E8=BE=B0?= Date: Thu, 28 Jul 2022 21:04:01 +0800 Subject: [PATCH] Bump v0.27.0 (#1836) * Bump v0.26.1 * update version * fix mmcv requirement --- README.md | 6 +++--- README_zh-CN.md | 6 +++--- docker/serve/Dockerfile | 2 +- docs/en/changelog.md | 20 ++++++++++++++++++++ docs/en/faq.md | 3 ++- docs/zh_cn/faq.md | 4 +++- mmseg/version.py | 2 +- 7 files changed, 33 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index da2b228a7..f295ec8ed 100644 --- a/README.md +++ b/README.md @@ -75,10 +75,10 @@ The master branch works with **PyTorch 1.5+**. ## What's New -v0.26.0 was released in 7/1/2022: +v0.27.0 was released in 7/28/2022: -- Update New SegFormer models on ADE20K -- Dedicated MMSegWandbHook for MMSegmentation to use wandb visualization tool +- Add Swin-L Transformer models +- Update ERFNet result on Cityscapes Please refer to [changelog.md](docs/en/changelog.md) for details and release history. diff --git a/README_zh-CN.md b/README_zh-CN.md index fc8070e10..c0e220131 100644 --- a/README_zh-CN.md +++ b/README_zh-CN.md @@ -72,10 +72,10 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O ## 最新进展 -最新版本 v0.26.0 在 2022.7.1 发布： +最新版本 v0.27.0 在 2022.7.28 发布： -- 更新了 SegFormer 在 ADE20K 数据集上的模型结果 -- 在 MMSegmentation 增加 MMSegWandbHook 以使用 wandb 可视化工具 +- 添加 Swin-L Transformer 模型 +- 更新了 ERFNet 在 Cityscapes 上的结果 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)。 diff --git a/docker/serve/Dockerfile b/docker/serve/Dockerfile index a169dddea..510c413b9 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="0.26.0" +ARG MMSEG="0.27.0" ENV PYTHONUNBUFFERED TRUE diff --git a/docs/en/changelog.md b/docs/en/changelog.md index e6776c37e..877557aba 100644 --- a/docs/en/changelog.md +++ b/docs/en/changelog.md @@ -1,5 +1,25 @@ ## Changelog +### V0.27.0 (7/28/2022) + +**Enhancement** + +- Add Swin-L Transformer models ([#1471](https://github.com/open-mmlab/mmsegmentation/pull/1471)) +- Update ERFNet results ([#1744](https://github.com/open-mmlab/mmsegmentation/pull/1744)) + +**Bug Fixes** + +- Revise documentation ([#1761](https://github.com/open-mmlab/mmsegmentation/pull/1761), [#1755](https://github.com/open-mmlab/mmsegmentation/pull/1755), [#1802](https://github.com/open-mmlab/mmsegmentation/pull/1802)) +- Fix colab tutorial ([#1779](https://github.com/open-mmlab/mmsegmentation/pull/1779)) +- Fix segformer checkpoint url ([#1785](https://github.com/open-mmlab/mmsegmentation/pull/1785)) + +**Contributors** + +- @DataSttructure made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1802 +- @AkideLiu made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1785 +- @mawanda-jun made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1761 +- @Yan-Daojiang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1755 + ### V0.26.0 (7/1/2022) **Highlights** diff --git a/docs/en/faq.md b/docs/en/faq.md index 95856342e..6ff6118f1 100644 --- a/docs/en/faq.md +++ b/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, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | +| master | 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 | | 0.26.0 | mmcv-full>=1.5.0, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | | 0.25.0 | mmcv-full>=1.5.0, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | | 0.24.1 | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | diff --git a/docs/zh_cn/faq.md b/docs/zh_cn/faq.md index d2038f160..6e7efb592 100644 --- a/docs/zh_cn/faq.md +++ b/docs/zh_cn/faq.md @@ -8,7 +8,9 @@ | MMSegmentation version | MMCV version | MMClassification version | | :--------------------: | :-------------------------: | :----------------------: | -| master | mmcv-full>=1.5.0, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | +| master | 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 | +| 0.26.0 | mmcv-full>=1.5.0, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | | 0.25.0 | mmcv-full>=1.5.0, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | | 0.24.1 | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | | 0.23.0 | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | diff --git a/mmseg/version.py b/mmseg/version.py index f2eab929c..fd748eabe 100644 --- a/mmseg/version.py +++ b/mmseg/version.py @@ -1,6 +1,6 @@ # Copyright (c) Open-MMLab. All rights reserved. -__version__ = '0.26.0' +__version__ = '0.27.0' def parse_version_info(version_str):