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Bump v0.21.0 (#1258)

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* change version to v0.21.0

* change version to v0.21.0

* change version to v0.21.0

* change version to v0.21.0
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MengzhangLI 2022-01-29 18:30:13 +08:00 committed by GitHub
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README.md
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@ -66,7 +66,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
## Changelog ## Changelog
v0.20.2 was released in 12/15/2021. v0.21.0 was released in 1/29/2022.
Please refer to [changelog.md](docs/en/changelog.md) for details and release history. Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
## Benchmark and model zoo ## Benchmark and model zoo

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README_zh-CN.md
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@ -65,7 +65,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
## 更新日志 ## 更新日志
最新的月度版本 v0.20.2 在 2021.12.15 发布。 最新的月度版本 v0.21.0 在 2022.1.29 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/changelog.md)。 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)。
## 基准测试和模型库 ## 基准测试和模型库

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docker/serve/Dockerfile
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@ -3,8 +3,8 @@ ARG CUDA="10.1"
ARG CUDNN="7" ARG CUDNN="7"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
ARG MMCV="1.3.13" ARG MMCV="1.4.4"
ARG MMSEG="0.20.0" ARG MMSEG="0.21.0"
ENV PYTHONUNBUFFERED TRUE ENV PYTHONUNBUFFERED TRUE

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docs/en/changelog.md
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@ -1,6 +1,44 @@
## Changelog ## Changelog
### V0.21 (1/29/2022)
**Highlights**
- Officially Support CPUs training and inference, please use the latest MMCV (1.4.4) to try it out.
- Support Segmenter: Transformer for Semantic Segmentation (ICCV'2021).
- Support ISPRS Potsdam and Vaihingen Dataset.
- Add Mosaic transform and `MultiImageMixDataset` class in `dataset_wrappers`.
**New Features**
- Support Segmenter: Transformer for Semantic Segmentation (ICCV'2021) ([#955](https://github.com/open-mmlab/mmsegmentation/pull/955))
- Support ISPRS Potsdam and Vaihingen Dataset ([#1097](https://github.com/open-mmlab/mmsegmentation/pull/1097), [#1171](https://github.com/open-mmlab/mmsegmentation/pull/1171))
- Add segformer‘s benchmark on cityscapes ([#1155](https://github.com/open-mmlab/mmsegmentation/pull/1155))
- Add auto resume ([#1172](https://github.com/open-mmlab/mmsegmentation/pull/1172))
- Add Mosaic transform and `MultiImageMixDataset` class in `dataset_wrappers` ([#1093](https://github.com/open-mmlab/mmsegmentation/pull/1093), [#1105](https://github.com/open-mmlab/mmsegmentation/pull/1105))
- Add log collector ([#1175](https://github.com/open-mmlab/mmsegmentation/pull/1175))
**Improvements**
- New-style CPU training and inference ([#1251](https://github.com/open-mmlab/mmsegmentation/pull/1251))
- Add UNet benchmark with multiple losses supervision ([#1143](https://github.com/open-mmlab/mmsegmentation/pull/1143))
**Bug Fixes**
- Fix the model statistics in doc for readthedoc ([#1153](https://github.com/open-mmlab/mmsegmentation/pull/1153))
- Set random seed for `palette` if not given ([#1152](https://github.com/open-mmlab/mmsegmentation/pull/1152))
- Add `COCOStuffDataset` in `class_names.py` ([#1222](https://github.com/open-mmlab/mmsegmentation/pull/1222))
- Fix bug in non-distributed multi-gpu training/testing ([#1247](https://github.com/open-mmlab/mmsegmentation/pull/1247))
- Delete unnecessary lines of STDCHead ([#1231](https://github.com/open-mmlab/mmsegmentation/pull/1231))
**Contributors**
- @jbwang1997 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1152
- @BeaverCC made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1206
- @Echo-minn made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1214
- @rstrudel made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/955
### V0.20.2 (12/15/2021) ### V0.20.2 (12/15/2021)
**Bug Fixes** **Bug Fixes**
@ -53,7 +91,7 @@
**Bug Fixes** **Bug Fixes**
- Fix incorrectly loading init_cfg or pretrained models of several transformer models ([#999](https://github.com/open-mmlab/mmsegmentation/pull/999), [#1069](https://github.com/open-mmlab/mmsegmentation/pull/1069), [#1102](https://github.com/open-mmlab/mmsegmentation/pull/1102)) - Fix incorrectly loading init_cfg or pretrained models of several transformer models ([#999](https://github.com/open-mmlab/mmsegmentation/pull/999), [#1069](https://github.com/open-mmlab/mmsegmentation/pull/1069), [#1102](https://github.com/open-mmlab/mmsegmentation/pull/1102))
- Fix EfficientMultiheadAttention in SegFormer ([#1003](https://github.com/open-mmlab/mmsegmentation/pull/1037)) - Fix EfficientMultiheadAttention in SegFormer ([#1037](https://github.com/open-mmlab/mmsegmentation/pull/1037))
- Remove `fp16` folder in `configs` ([#1031](https://github.com/open-mmlab/mmsegmentation/pull/1031)) - Remove `fp16` folder in `configs` ([#1031](https://github.com/open-mmlab/mmsegmentation/pull/1031))
- Fix several typos in .yml file (Dice Metric [#1041](https://github.com/open-mmlab/mmsegmentation/pull/1041), ADE20K dataset [#1120](https://github.com/open-mmlab/mmsegmentation/pull/1120), Training Memory (GB) [#1083](https://github.com/open-mmlab/mmsegmentation/pull/1083)) - Fix several typos in .yml file (Dice Metric [#1041](https://github.com/open-mmlab/mmsegmentation/pull/1041), ADE20K dataset [#1120](https://github.com/open-mmlab/mmsegmentation/pull/1120), Training Memory (GB) [#1083](https://github.com/open-mmlab/mmsegmentation/pull/1083))
- Fix test error when using `--show-dir` ([#1091](https://github.com/open-mmlab/mmsegmentation/pull/1091)) - Fix test error when using `--show-dir` ([#1091](https://github.com/open-mmlab/mmsegmentation/pull/1091))

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docs/en/get_started.md
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@ -9,25 +9,26 @@
The compatible MMSegmentation and MMCV versions are as below. Please install the correct version of MMCV to avoid installation issues. The compatible MMSegmentation and MMCV versions are as below. Please install the correct version of MMCV to avoid installation issues.
| MMSegmentation version | MMCV version | | MMSegmentation version | MMCV version |
|:-------------------:|:-------------------:| |:----------------------:|:--------------------------:|
| master | mmcv-full>=1.3.13, <1.5.0 | | master | mmcv-full>=1.4.4, <1.5.0 |
| 0.20.0 | mmcv-full>=1.3.13, <1.5.0 | | 0.21.0 | mmcv-full>=1.4.4, <1.5.0 |
| 0.19.0 | mmcv-full>=1.3.13, <1.4.0 | | 0.20.0 | mmcv-full>=1.3.13, <1.5.0 |
| 0.18.0 | mmcv-full>=1.3.13, <1.4.0 | | 0.19.0 | mmcv-full>=1.3.13, <1.3.17 |
| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.18.0 | mmcv-full>=1.3.13, <1.3.17 |
| 0.16.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.17.0 | mmcv-full>=1.3.7, <1.3.17 |
| 0.15.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.16.0 | mmcv-full>=1.3.7, <1.3.17 |
| 0.14.1 | mmcv-full>=1.3.7, <1.4.0 | | 0.15.0 | mmcv-full>=1.3.7, <1.3.17 |
| 0.14.0 | mmcv-full>=1.3.1, <1.3.2 | | 0.14.1 | mmcv-full>=1.3.7, <1.3.17 |
| 0.13.0 | mmcv-full>=1.3.1, <1.3.2 | | 0.14.0 | mmcv-full>=1.3.1, <1.3.2 |
| 0.12.0 | mmcv-full>=1.1.4, <1.3.2 | | 0.13.0 | mmcv-full>=1.3.1, <1.3.2 |
| 0.11.0 | mmcv-full>=1.1.4, <1.3.0 | | 0.12.0 | mmcv-full>=1.1.4, <1.3.2 |
| 0.10.0 | mmcv-full>=1.1.4, <1.3.0 | | 0.11.0 | mmcv-full>=1.1.4, <1.3.0 |
| 0.9.0 | mmcv-full>=1.1.4, <1.3.0 | | 0.10.0 | mmcv-full>=1.1.4, <1.3.0 |
| 0.8.0 | mmcv-full>=1.1.4, <1.2.0 | | 0.9.0 | mmcv-full>=1.1.4, <1.3.0 |
| 0.7.0 | mmcv-full>=1.1.2, <1.2.0 | | 0.8.0 | mmcv-full>=1.1.4, <1.2.0 |
| 0.6.0 | mmcv-full>=1.1.2, <1.2.0 | | 0.7.0 | mmcv-full>=1.1.2, <1.2.0 |
| 0.6.0 | mmcv-full>=1.1.2, <1.2.0 |
:::{note} :::{note}
You need to run `pip uninstall mmcv` first if you have mmcv installed. You need to run `pip uninstall mmcv` first if you have mmcv installed.

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docs/zh_cn/get_started.md
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可编译的 MMSegmentation 和 MMCV 版本如下所示，请对照对应版本安装以避免安装问题。 可编译的 MMSegmentation 和 MMCV 版本如下所示，请对照对应版本安装以避免安装问题。
| MMSegmentation 版本 | MMCV 版本 | | MMSegmentation 版本 | MMCV 版本 |
|:-------------------:|:-------------------:| |:-----------------:|:--------------------------:|
| master | mmcv-full>=1.3.13, <1.5.0 | | master | mmcv-full>=1.4.4, <1.5.0 |
| 0.20.0 | mmcv-full>=1.3.13, <1.5.0 | | 0.21.0 | mmcv-full>=1.4.4, <1.5.0 |
| 0.19.0 | mmcv-full>=1.3.13, <1.4.0 | | 0.20.0 | mmcv-full>=1.3.13, <1.5.0 |
| 0.18.0 | mmcv-full>=1.3.13, <1.4.0 | | 0.19.0 | mmcv-full>=1.3.13, <1.3.17 |
| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.18.0 | mmcv-full>=1.3.13, <1.3.17 |
| 0.16.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.17.0 | mmcv-full>=1.3.7, <1.3.17 |
| 0.15.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.16.0 | mmcv-full>=1.3.7, <1.3.17 |
| 0.14.1 | mmcv-full>=1.3.7, <1.4.0 | | 0.15.0 | mmcv-full>=1.3.7, <1.3.17 |
| 0.14.0 | mmcv-full>=1.3.1, <1.4.0 | | 0.14.1 | mmcv-full>=1.3.7, <1.3.17 |
| 0.13.0 | mmcv-full>=1.3.1, <1.4.0 | | 0.14.0 | mmcv-full>=1.3.1, <1.3.2 |
| 0.12.0 | mmcv-full>=1.1.4, <1.4.0 | | 0.13.0 | mmcv-full>=1.3.1, <1.3.2 |
| 0.11.0 | mmcv-full>=1.1.4, <1.3.0 | | 0.12.0 | mmcv-full>=1.1.4, <1.3.2 |
| 0.10.0 | mmcv-full>=1.1.4, <1.3.0 | | 0.11.0 | mmcv-full>=1.1.4, <1.3.0 |
| 0.9.0 | mmcv-full>=1.1.4, <1.3.0 | | 0.10.0 | mmcv-full>=1.1.4, <1.3.0 |
| 0.8.0 | mmcv-full>=1.1.4, <1.2.0 | | 0.9.0 | mmcv-full>=1.1.4, <1.3.0 |
| 0.7.0 | mmcv-full>=1.1.2, <1.2.0 | | 0.8.0 | mmcv-full>=1.1.4, <1.2.0 |
| 0.6.0 | mmcv-full>=1.1.2, <1.2.0 | | 0.7.0 | mmcv-full>=1.1.2, <1.2.0 |
| 0.6.0 | mmcv-full>=1.1.2, <1.2.0 |
注意: 如果您已经安装好 mmcv， 您首先需要运行 `pip uninstall mmcv`。 注意: 如果您已经安装好 mmcv， 您首先需要运行 `pip uninstall mmcv`。
如果 mmcv 和 mmcv-full 同时被安装，会报错 `ModuleNotFoundError`。 如果 mmcv 和 mmcv-full 同时被安装，会报错 `ModuleNotFoundError`。

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mmseg/version.py
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# Copyright (c) Open-MMLab. All rights reserved. # Copyright (c) Open-MMLab. All rights reserved.
__version__ = '0.20.2' __version__ = '0.21.0'
def parse_version_info(version_str): def parse_version_info(version_str):