Merge pull request #2252 from MeowZheng/v1.0.0rc1

Bump V1.0.0rc1

README.md

@@ -62,12 +62,11 @@ The 1.x branch works with **PyTorch 1.6+**.
 
 ## What's New
 
-v1.0.0rc0 was released in 31/8/2022.
+v1.0.0rc1 was released in 2/11/2022.
 Please refer to [changelog.md](docs/en/notes/changelog.md) for details and release history.
 
-- Unifies interfaces of all components based on MMEngine.
-- Faster training and testing speed with complete support of mixed precision training.
-- Refactored and more flexible architecture.
+- Support PoolFormer ([#2191](https://github.com/open-mmlab/mmsegmentation/pull/2191))
+- Add Decathlon dataset ([#2227](https://github.com/open-mmlab/mmsegmentation/pull/2227))
 
 ## Installation
 

README_zh-CN.md

@@ -61,7 +61,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
 
 ## 更新日志
 
-最新版本 v1.0.0rc0 在 2022.8.31 发布。
+最新版本 v1.0.0rc1 在 2022.11.2 发布。
 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/notes/changelog.md)。
 
 ## 安装

docker/Dockerfile

@@ -1,6 +1,7 @@
 ARG PYTORCH="1.11.0"
 ARG CUDA="11.3"
 ARG CUDNN="8"
+ARG MMCV="2.0.0rc1"
 
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
@@ -22,10 +23,12 @@ RUN conda clean --all
 ARG PYTORCH
 ARG CUDA
 ARG MMCV
-RUN ["/bin/bash", "-c", "pip install --no-cache-dir mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu${CUDA//./}/torch${PYTORCH}/index.html"]
+RUN ["/bin/bash", "-c", "pip install openmim"]
+RUN ["/bin/bash", "-c", "mim install mmengine"]
+RUN ["/bin/bash", "-c", "mim install mmcv==${MMCV}"]
 
 # Install MMSegmentation
-RUN git clone https://github.com/open-mmlab/mmsegmentation.git /mmsegmentation
+RUN git clone -b dev-1.x https://github.com/open-mmlab/mmsegmentation.git /mmsegmentation
 WORKDIR /mmsegmentation
 ENV FORCE_CUDA="1"
 RUN pip install -r requirements.txt

docker/serve/Dockerfile

@@ -3,8 +3,8 @@ ARG CUDA="11.3"
 ARG CUDNN="8"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
-ARG MMCV="1.4.8"
-ARG MMSEG="0.24.1"
+ARG MMCV="2.0.0rc1"
+ARG MMSEG="1.0.0rc1"
 
 ENV PYTHONUNBUFFERED TRUE
 
@@ -26,7 +26,9 @@ RUN pip install torchserve torch-model-archiver
 # MMLAB
 ARG PYTORCH
 ARG CUDA
-RUN ["/bin/bash", "-c", "pip install mmcv-full==${MMCV} -f https://download.openmmlab.com/mmcv/dist/cu${CUDA//./}/torch${PYTORCH}/index.html"]
+RUN ["/bin/bash", "-c", "pip install openmim"]
+RUN ["/bin/bash", "-c", "mim install mmengine"]
+RUN ["/bin/bash", "-c", "mim install mmcv==${MMCV}"]
 RUN pip install mmsegmentation==${MMSEG}
 
 RUN useradd -m model-server \

docs/en/notes/changelog.md

@@ -1,5 +1,54 @@
 # Changelog of v1.x
 
+## v1.0.0rc1 (2/11/2022)
+
+### Highlights
+
+- Support PoolFormer ([#2191](https://github.com/open-mmlab/mmsegmentation/pull/2191))
+- Add Decathlon dataset ([#2227](https://github.com/open-mmlab/mmsegmentation/pull/2227))
+
+### Features
+
+- Add BioMedical data loading ([#2176](https://github.com/open-mmlab/mmsegmentation/pull/2176))
+- Add LIP dataset ([#2251](https://github.com/open-mmlab/mmsegmentation/pull/2251))
+- Add `GenerateEdge` data transform ([#2210](https://github.com/open-mmlab/mmsegmentation/pull/2210))
+
+### Bug fix
+
+- Fix segmenter-vit-s_fcn config ([#2037](https://github.com/open-mmlab/mmsegmentation/pull/2037))
+- Fix binary segmentation ([#2101](https://github.com/open-mmlab/mmsegmentation/pull/2101))
+- Fix MMSegmentation colab demo ([#2089](https://github.com/open-mmlab/mmsegmentation/pull/2089))
+- Fix ResizeToMultiple transform ([#2185](https://github.com/open-mmlab/mmsegmentation/pull/2185))
+- Use SyncBN in mobilenet_v2 ([#2198](https://github.com/open-mmlab/mmsegmentation/pull/2198))
+- Fix typo in installation ([#2175](https://github.com/open-mmlab/mmsegmentation/pull/2175))
+- Fix typo in visualization.md ([#2116](https://github.com/open-mmlab/mmsegmentation/pull/2116))
+
+### Enhancement
+
+- Add mim extras_requires in setup.py ([#2012](https://github.com/open-mmlab/mmsegmentation/pull/2012))
+- Fix CI ([#2029](https://github.com/open-mmlab/mmsegmentation/pull/2029))
+- Remove ops module ([#2063](https://github.com/open-mmlab/mmsegmentation/pull/2063))
+- Add pyupgrade pre-commit hook ([#2078](https://github.com/open-mmlab/mmsegmentation/pull/2078))
+- Add `out_file` in `add_datasample` of `SegLocalVisualizer` to directly save image ([#2090](https://github.com/open-mmlab/mmsegmentation/pull/2090))
+- Upgrade pre commit hooks ([#2154](https://github.com/open-mmlab/mmsegmentation/pull/2154))
+- Ignore test timm in CI when torch\<1.7 ([#2158](https://github.com/open-mmlab/mmsegmentation/pull/2158))
+- Update requirements ([#2186](https://github.com/open-mmlab/mmsegmentation/pull/2186))
+- Fix Windows platform CI ([#2202](https://github.com/open-mmlab/mmsegmentation/pull/2202))
+
+### Documentation
+
+- Add `Overview` documentation ([#2042](https://github.com/open-mmlab/mmsegmentation/pull/2042))
+- Add `Evaluation` documentation ([#2077](https://github.com/open-mmlab/mmsegmentation/pull/2077))
+- Add `Migration` documentation ([#2066](https://github.com/open-mmlab/mmsegmentation/pull/2066))
+- Add `Structures` documentation ([#2070](https://github.com/open-mmlab/mmsegmentation/pull/2070))
+- Add `Structures` ZN documentation ([#2129](https://github.com/open-mmlab/mmsegmentation/pull/2129))
+- Add `Engine` ZN documentation ([#2157](https://github.com/open-mmlab/mmsegmentation/pull/2157))
+- Update `Prepare datasets` and `Visualization` doc ([#2054](https://github.com/open-mmlab/mmsegmentation/pull/2054))
+- Update `Models` documentation ([#2160](https://github.com/open-mmlab/mmsegmentation/pull/2160))
+- Update `Add New Modules` documentation ([#2067](https://github.com/open-mmlab/mmsegmentation/pull/2067))
+- Fix the installation commands in get_started.md ([#2174](https://github.com/open-mmlab/mmsegmentation/pull/2174))
+- Add MMYOLO to README.md ([#2220](https://github.com/open-mmlab/mmsegmentation/pull/2220))
+
 ## v1.0.0rc0 (31/8/2022)
 
 We are excited to announce the release of MMSegmentation 1.0.0rc0.

docs/en/notes/changelog_v0.x.md

@@ -15,9 +15,9 @@
 
 **New Features**
 
-- Support MAE: Masked Autoencoders Are Scalable Vision Learners ([1307](https://github.com/open-mmlab/mmsegmentation/pull/1307), [1523](https://github.com/open-mmlab/mmsegmentation/pull/1523))
-- Support Resnet strikes back ([1390](https://github.com/open-mmlab/mmsegmentation/pull/1390))
-- Support extra dataloader settings in configs ([1435](https://github.com/open-mmlab/mmsegmentation/pull/1435))
+- Support MAE: Masked Autoencoders Are Scalable Vision Learners ([#1307](https://github.com/open-mmlab/mmsegmentation/pull/1307), [#1523](https://github.com/open-mmlab/mmsegmentation/pull/1523))
+- Support Resnet strikes back ([#1390](https://github.com/open-mmlab/mmsegmentation/pull/1390))
+- Support extra dataloader settings in configs ([#1435](https://github.com/open-mmlab/mmsegmentation/pull/1435))
 
 **Bug Fixes**
 

docs/en/notes/faq.md

@@ -8,7 +8,8 @@ The compatible MMSegmentation and MMCV versions are as below. Please install the
 
 | MMSegmentation version |        MMCV version         | MMClassification version |
 | :--------------------: | :-------------------------: | :----------------------: |
-|        1.0.0rc0        |    mmcv-full >= 2.0.0rc1    |     mmcls>=1.0.0rc0      |
+|        1.0.0rc1        |      mmcv >= 2.0.0rc1       |     mmcls>=1.0.0rc0      |
+|        1.0.0rc0        |      mmcv >= 2.0.0rc1       |     mmcls>=1.0.0rc0      |
 |         master         | mmcv-full>=1.4.4, \<=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__ = '1.0.0rc0'
+__version__ = '1.0.0rc1'
 
 
 def parse_version_info(version_str):