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Bump v0.20.0 (open-mmlab#1124)
* 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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## Changelog
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v0.19.0 was released in 11/02/2021.
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v0.20.0 was released in 12/10/2021.
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Please refer to [changelog.md](docs/changelog.md) for details and release history.
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## Benchmark and model zoo

‎README_zh-CN.md

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## 更新日志
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最新的月度版本 v0.19.0 在 2021.11.2 发布。
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最新的月度版本 v0.20.0 在 2021.12.10 发布。
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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)。
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## 基准测试和模型库

‎docker/serve/Dockerfile

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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ARG MMCV="1.3.13"
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ARG MMSEG="0.17.0"
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ARG MMSEG="0.20.0"
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ENV PYTHONUNBUFFERED TRUE
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‎docs/changelog.md

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## Changelog
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### V0.20 (12/10/2021)
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**Highlights**
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- Support Twins ([#989](https://github.com/open-mmlab/mmsegmentation/pull/989))
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- Support a real-time segmentation model STDC ([#995](https://github.com/open-mmlab/mmsegmentation/pull/995))
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- Support a widely-used segmentation model in lane detection ERFNet ([#960](https://github.com/open-mmlab/mmsegmentation/pull/960))
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- Support A Remote Sensing Land-Cover Dataset LoveDA ([#1028](https://github.com/open-mmlab/mmsegmentation/pull/1028))
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- Support focal loss ([#1024](https://github.com/open-mmlab/mmsegmentation/pull/1024))
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**New Features**
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- Support Twins ([#989](https://github.com/open-mmlab/mmsegmentation/pull/989))
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- Support a real-time segmentation model STDC ([#995](https://github.com/open-mmlab/mmsegmentation/pull/995))
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- Support a widely-used segmentation model in lane detection ERFNet ([#960](https://github.com/open-mmlab/mmsegmentation/pull/960))
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- Add SETR cityscapes benchmark ([#1087](https://github.com/open-mmlab/mmsegmentation/pull/1087))
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- Add BiSeNetV1 COCO-Stuff 164k benchmark ([#1019](https://github.com/open-mmlab/mmsegmentation/pull/1019))
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- Support focal loss ([#1024](https://github.com/open-mmlab/mmsegmentation/pull/1024))
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- Add Cutout transform ([#1022](https://github.com/open-mmlab/mmsegmentation/pull/1022))
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**Improvements**
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- Set a random seed when the user does not set a seed ([#1039](https://github.com/open-mmlab/mmsegmentation/pull/1039))
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- Add CircleCI setup ([#1086](https://github.com/open-mmlab/mmsegmentation/pull/1086))
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- Skip CI on ignoring given paths ([#1078](https://github.com/open-mmlab/mmsegmentation/pull/1078))
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- Add abstract and image for every paper ([#1060](https://github.com/open-mmlab/mmsegmentation/pull/1060))
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- Create a symbolic link on windows ([#1090](https://github.com/open-mmlab/mmsegmentation/pull/1090))
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- Support video demo using trained model ([#1014](https://github.com/open-mmlab/mmsegmentation/pull/1014))
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**Bug Fixes**
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- 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))
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- Fix EfficientMultiheadAttention in SegFormer ([#1003](https://github.com/open-mmlab/mmsegmentation/pull/1037))
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- Remove `fp16` folder in `configs` ([#1031](https://github.com/open-mmlab/mmsegmentation/pull/1031))
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- 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))
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- Fix test error when using `--show-dir` ([#1091](https://github.com/open-mmlab/mmsegmentation/pull/1091))
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- Fix dist training infinite waiting issue ([#1035](https://github.com/open-mmlab/mmsegmentation/pull/1035))
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- Change the upper version of mmcv to 1.5.0 ([#1096](https://github.com/open-mmlab/mmsegmentation/pull/1096))
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- Fix symlink failure on Windows ([#1038](https://github.com/open-mmlab/mmsegmentation/pull/1038))
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- Cancel previous runs that are not completed ([#1118](https://github.com/open-mmlab/mmsegmentation/pull/1118))
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- Unified links of readthedocs in docs ([#1119](https://github.com/open-mmlab/mmsegmentation/pull/1119))
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**Contributors**
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- @Junjue-Wang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1028
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- @ddebby made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1066
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- @del-zhenwu made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1078
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- @KangBK0120 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1106
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- @zergzzlun made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1091
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- @fingertap made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1035
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- @irvingzhang0512 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1014
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- @littleSunlxy made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/989
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- @lkm2835
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- @RockeyCoss
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- @MengzhangLI
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- @Junjun2016
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- @xiexinch
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- @xvjiarui
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### V0.19 (11/02/2021)
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**Highlights**

‎docs/get_started.md

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| MMSegmentation version | MMCV version |
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|:-------------------:|:-------------------:|
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| master | mmcv-full>=1.3.13, <1.4.0 |
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| master | mmcv-full>=1.3.13, <1.5.0 |
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| 0.20.0 | mmcv-full>=1.3.13, <1.5.0 |
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| 0.19.0 | mmcv-full>=1.3.13, <1.4.0 |
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| 0.18.0 | mmcv-full>=1.3.13, <1.4.0 |
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| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 |

‎docs_zh-CN/get_started.md

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| MMSegmentation 版本 | MMCV 版本 |
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|:-------------------:|:-------------------:|
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| master | mmcv-full>=1.3.13, <1.4.0 |
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| master | mmcv-full>=1.3.13, <1.5.0 |
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| 0.20.0 | mmcv-full>=1.3.13, <1.5.0 |
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| 0.19.0 | mmcv-full>=1.3.13, <1.4.0 |
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| 0.18.0 | mmcv-full>=1.3.13, <1.4.0 |
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| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 |

‎mmseg/version.py

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# Copyright (c) Open-MMLab. All rights reserved.
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__version__ = '0.19.0'
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__version__ = '0.20.0'
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def parse_version_info(version_str):

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