Bump v0.27.0 (open-mmlab#1836)

* Bump v0.26.1

* update version

* fix mmcv requirement

Author: xiexinch

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.
 

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)。
 

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
 

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**

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  |

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  |

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):