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Bump version to v0.23.0 (open-mmlab#1439)
* Bump version to v0.23.0 * new contributor * rephrase * tyoi * typo * get_started * typo * rephrase * rephrase * rephrase
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‎README.md‎

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## Changelog
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v0.22.1 was released in 3/9/2022.
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v0.23.0 was released in 4/1/2022.
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Please refer to [changelog.md](docs/en/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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最新版本 v0.22.1 在 2022.3.9 发布。
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最新版本 v0.23.0 在 2022.4.1 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/en/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="1.4.4"
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ARG MMSEG="0.22.0"
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ARG MMSEG="0.23.0"
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ENV PYTHONUNBUFFERED TRUE
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‎docs/en/changelog.md‎

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## Changelog
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### V0.23.0 (4/1/2022)
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**Highlights**
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- Support BEiT: BERT Pre-Training of Image Transformers
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- Support K-Net: Towards Unified Image Segmentation
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- Add `avg_non_ignore` of CELoss to support average loss over non-ignored elements
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- Support dataset initialization with file client
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**New Features**
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- Support BEiT: BERT Pre-Training of Image Transformers ([#1404](https://github.com/open-mmlab/mmsegmentation/pull/1404))
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- Support K-Net: Towards Unified Image Segmentation ([#1289](https://github.com/open-mmlab/mmsegmentation/pull/1289))
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- Support dataset initialization with file client ([#1402](https://github.com/open-mmlab/mmsegmentation/pull/1402))
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- Add class name function for STARE datasets ([#1376](https://github.com/open-mmlab/mmsegmentation/pull/1376))
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- Support different seeds on different ranks when distributed training ([#1362](https://github.com/open-mmlab/mmsegmentation/pull/1362))
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- Add `nlc2nchw2nlc` and `nchw2nlc2nchw` to simplify tensor with different dimension operation ([#1249](https://github.com/open-mmlab/mmsegmentation/pull/1249))
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**Improvements**
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- Synchronize random seed for distributed sampler ([#1411](https://github.com/open-mmlab/mmsegmentation/pull/1411))
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- Add script and documentation for multi-machine distributed training ([#1383](https://github.com/open-mmlab/mmsegmentation/pull/1383))
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**Bug Fixes**
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- Add `avg_non_ignore` of CELoss to support average loss over non-ignored elements ([#1409](https://github.com/open-mmlab/mmsegmentation/pull/1409))
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- Fix some wrong URLs of models or logs in `./configs` ([#1336](https://github.com/open-mmlab/mmsegmentation/pull/1433))
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- Add title and color theme arguments to plot function in `tools/confusion_matrix.py` ([#1401](https://github.com/open-mmlab/mmsegmentation/pull/1401))
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- Fix outdated link in Colab demo ([#1392](https://github.com/open-mmlab/mmsegmentation/pull/1392))
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- Fix typos ([#1424](https://github.com/open-mmlab/mmsegmentation/pull/1424), [#1405](https://github.com/open-mmlab/mmsegmentation/pull/1405), [#1371](https://github.com/open-mmlab/mmsegmentation/pull/1371), [#1366](https://github.com/open-mmlab/mmsegmentation/pull/1366), [#1363](https://github.com/open-mmlab/mmsegmentation/pull/1363))
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**Documentation**
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- Add FAQ document ([#1420](https://github.com/open-mmlab/mmsegmentation/pull/1420))
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- Fix the config name style description in official docs([#1414](https://github.com/open-mmlab/mmsegmentation/pull/1414))
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**Contributors**
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* @kinglintianxia made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1371
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* @CCODING04 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1376
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* @mob5566 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1401
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* @xiongnemo made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1392
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* @Xiangxu-0103 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1405
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### V0.22.1 (3/9/2022)
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**Bug Fixes**
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- Upload completed STDC models. ([#1332](https://github.com/open-mmlab/mmsegmentation/pull/1332))
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- Fix `DNLHead` exports onnx inference difference type Cast error. ([#1161](https://github.com/open-mmlab/mmsegmentation/pull/1332))
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**Contributors**
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- @JiaYanhao made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1269
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- Change options to cfg-options ([#1129](https://github.com/open-mmlab/mmsegmentation/pull/1129))
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**Bug Fixes**
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- Fix `<!-- [ABSTRACT] -->` in metafile. ([#1127](https://github.com/open-mmlab/mmsegmentation/pull/1127))
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- Fix correct `num_classes` of HRNet in `LoveDA` dataset ([#1136](https://github.com/open-mmlab/mmsegmentation/pull/1136))
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### V0.20 (12/10/2021)
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**Highlights**

‎docs/en/get_started.md‎

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| MMSegmentation version | MMCV version | MMClassification version |
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|:----------------------:|:--------------------------:|:------------------------:|
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| master | mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.23.0 | mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.22.0 | mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.21.1 | mmcv-full>=1.4.4, <=1.5.0 | Not required |
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| 0.20.2 | mmcv-full>=1.3.13, <=1.5.0 | Not required |

‎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。
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| MMSegmentation 版本 | MMCV 版本 | MMClassification 版本 |
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|:-----------------:|:--------------------------:|:----------------------:|
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| master | mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.22.0 | mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.21.1 | mmcv-full>=1.4.4, <=1.5.0 | Not required |
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| 0.20.2 | mmcv-full>=1.3.13, <=1.5.0 | Not required |
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| MMSegmentation 版本 | MMCV 版本 | MMClassification 版本 |
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|:-----------------:|:--------------------------:|:------------------------:|
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| master | mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.23.0 | mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.22.0 | mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.21.1 | mmcv-full>=1.4.4, <=1.5.0 | Not required |
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| 0.20.2 | mmcv-full>=1.3.13, <=1.5.0 | Not required |
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| 0.19.0 | mmcv-full>=1.3.13, <1.3.17 | Not required |
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| 0.18.0 | mmcv-full>=1.3.13, <1.3.17 | Not required |
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| 0.17.0 | mmcv-full>=1.3.7, <1.3.17 | Not required |

‎mmseg/version.py‎

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# Copyright (c) Open-MMLab. All rights reserved.
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__version__ = '0.22.1'
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__version__ = '0.23.0'
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def parse_version_info(version_str):

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