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Bump v0.20.0 (#1124)

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* change version to v0.20.0

* change version to v0.20.0

* change version to v0.20.0
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README.md
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@ -49,7 +49,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
## Changelog
v0.19.0 was released in 11/02/2021.
v0.20.0 was released in 12/10/2021.
Please refer to [changelog.md](docs/changelog.md) for details and release history.
## Benchmark and model zoo

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README_zh-CN.md
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@ -48,7 +48,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
## 更新日志
最新的月度版本 v0.19.0 在 2021.11.2 发布。
最新的月度版本 v0.20.0 在 2021.12.10 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/changelog.md)。
## 基准测试和模型库

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docker/serve/Dockerfile
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@ -4,7 +4,7 @@ ARG CUDNN="7"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
ARG MMCV="1.3.13"
ARG MMSEG="0.17.0"
ARG MMSEG="0.20.0"
ENV PYTHONUNBUFFERED TRUE

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docs/changelog.md
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@ -1,5 +1,64 @@
## Changelog
### V0.20 (12/10/2021)
**Highlights**
- Support Twins ([#989](https://github.com/open-mmlab/mmsegmentation/pull/989))
- Support a real-time segmentation model STDC ([#995](https://github.com/open-mmlab/mmsegmentation/pull/995))
- Support a widely-used segmentation model in lane detection ERFNet ([#960](https://github.com/open-mmlab/mmsegmentation/pull/960))
- Support A Remote Sensing Land-Cover Dataset LoveDA ([#1028](https://github.com/open-mmlab/mmsegmentation/pull/1028))
- Support focal loss ([#1024](https://github.com/open-mmlab/mmsegmentation/pull/1024))
**New Features**
- Support Twins ([#989](https://github.com/open-mmlab/mmsegmentation/pull/989))
- Support a real-time segmentation model STDC ([#995](https://github.com/open-mmlab/mmsegmentation/pull/995))
- Support a widely-used segmentation model in lane detection ERFNet ([#960](https://github.com/open-mmlab/mmsegmentation/pull/960))
- Add SETR cityscapes benchmark ([#1087](https://github.com/open-mmlab/mmsegmentation/pull/1087))
- Add BiSeNetV1 COCO-Stuff 164k benchmark ([#1019](https://github.com/open-mmlab/mmsegmentation/pull/1019))
- Support focal loss ([#1024](https://github.com/open-mmlab/mmsegmentation/pull/1024))
- Add Cutout transform ([#1022](https://github.com/open-mmlab/mmsegmentation/pull/1022))
**Improvements**
- Set a random seed when the user does not set a seed ([#1039](https://github.com/open-mmlab/mmsegmentation/pull/1039))
- Add CircleCI setup ([#1086](https://github.com/open-mmlab/mmsegmentation/pull/1086))
- Skip CI on ignoring given paths ([#1078](https://github.com/open-mmlab/mmsegmentation/pull/1078))
- Add abstract and image for every paper ([#1060](https://github.com/open-mmlab/mmsegmentation/pull/1060))
- Create a symbolic link on windows ([#1090](https://github.com/open-mmlab/mmsegmentation/pull/1090))
- Support video demo using trained model ([#1014](https://github.com/open-mmlab/mmsegmentation/pull/1014))
**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 EfficientMultiheadAttention in SegFormer ([#1003](https://github.com/open-mmlab/mmsegmentation/pull/1037))
- 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 test error when using `--show-dir` ([#1091](https://github.com/open-mmlab/mmsegmentation/pull/1091))
- Fix dist training infinite waiting issue ([#1035](https://github.com/open-mmlab/mmsegmentation/pull/1035))
- Change the upper version of mmcv to 1.5.0 ([#1096](https://github.com/open-mmlab/mmsegmentation/pull/1096))
- Fix symlink failure on Windows ([#1038](https://github.com/open-mmlab/mmsegmentation/pull/1038))
- Cancel previous runs that are not completed ([#1118](https://github.com/open-mmlab/mmsegmentation/pull/1118))
- Unified links of readthedocs in docs ([#1119](https://github.com/open-mmlab/mmsegmentation/pull/1119))
**Contributors**
- @Junjue-Wang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1028
- @ddebby made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1066
- @del-zhenwu made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1078
- @KangBK0120 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1106
- @zergzzlun made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1091
- @fingertap made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1035
- @irvingzhang0512 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1014
- @littleSunlxy made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/989
- @lkm2835
- @RockeyCoss
- @MengzhangLI
- @Junjun2016
- @xiexinch
- @xvjiarui
### V0.19 (11/02/2021)
**Highlights**

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docs/get_started.md
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@ -11,7 +11,8 @@ The compatible MMSegmentation and MMCV versions are as below. Please install the
| MMSegmentation version | MMCV version |
|:-------------------:|:-------------------:|
| master | mmcv-full>=1.3.13, <1.4.0 |
| master | mmcv-full>=1.3.13, <1.5.0 |
| 0.20.0 | mmcv-full>=1.3.13, <1.5.0 |
| 0.19.0 | mmcv-full>=1.3.13, <1.4.0 |
| 0.18.0 | mmcv-full>=1.3.13, <1.4.0 |
| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 |

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docs_zh-CN/get_started.md
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@ -11,7 +11,8 @@
| MMSegmentation 版本 | MMCV 版本 |
|:-------------------:|:-------------------:|
| master | mmcv-full>=1.3.13, <1.4.0 |
| master | mmcv-full>=1.3.13, <1.5.0 |
| 0.20.0 | mmcv-full>=1.3.13, <1.5.0 |
| 0.19.0 | mmcv-full>=1.3.13, <1.4.0 |
| 0.18.0 | mmcv-full>=1.3.13, <1.4.0 |
| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 |

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mmseg/version.py
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@ -1,6 +1,6 @@
# Copyright (c) Open-MMLab. All rights reserved.
__version__ = '0.19.0'
__version__ = '0.20.0'
def parse_version_info(version_str):