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Bump version to v2.28.0 (#9668)
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README.md

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### 💎 Stable version
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**2.27.0** was released in 5/1/2023:
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**2.28.0** was released in 28/1/2023:
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- Support receptive field search of CNN models([TPAMI 2022: RF-Next](http://mftp.mmcheng.net/Papers/22TPAMI-ActionSeg.pdf)).
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- Support Objects365 Dataset, and Separated and Occluded COCO metric
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- Support acceleration of RetinaNet and SSD on Ascend
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- Deprecate the support of Python 3.6
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Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
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README_zh-CN.md

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### 💎 稳定版本
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最新的 **2.27.0** 版本已经在 2023.1.5 发布:
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最新的 **2.28.0** 版本已经在 2023.1.28 发布:
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- 支持 CNN 模型的感受野搜索 ([TPAMI 2022: RF-Next](http://mftp.mmcheng.net/Papers/22TPAMI-ActionSeg.pdf))。
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- 支持 Object365 数据集和遮挡物检测的 benchmark
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- 支持 SSD 和 RetinaNet 算法在昇腾芯片上的加速
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- 不再保证对 Python 3.6 的支持
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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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docker/serve/Dockerfile

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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ARG MMCV="1.3.17"
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ARG MMDET="2.27.0"
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ARG MMDET="2.28.0"
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ENV PYTHONUNBUFFERED TRUE
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docs/en/changelog.md

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## Changelog
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### v2.28.0 (28/1/2023)
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#### Highlights
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- Support Objects365 Dataset and Separated and Occluded COCO metric
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- Support acceleration of RetinaNet and SSD on Ascend
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- Deprecate the support of Python 3.6
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#### New Features and Improvements
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- Support Objects365 Dataset (#7525)
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- Support [Separated and Occluded COCO metric](https://arxiv.org/abs/2210.10046) (#9574)
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- Support acceleration of RetinaNet and SSD on Ascend with documentation (#9648, #9614)
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- Added missing `-` to `--format-only` in documentation.
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#### Deprecations
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- Upgrade the minimum Python version to 3.7, the support of Python 3.6 is no longer guaranteed (#9604)
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#### Bug Fixes
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- Fix validation loss logging by (#9663)
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- Fix inconsistent float precision between mmdet and mmcv (#9570)
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- Fix argument name for fp32 in `DeformableDETRHead` (#9607)
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- Fix typo of all config file path in Metafile.yml (#9627)
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#### Contributors
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A total of 11 developers contributed to this release.
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Thanks @eantono, @akstt, @@lpizzinidev, @RangiLyu, @kbumsik, @tianleiSHI, @nijkah, @BIGWangYuDong, @wangjiangben-hw, @@jamiechoi1995, @ZwwWayne
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## New Contributors
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- @kbumsik made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9627
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- @akstt made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9614
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- @lpizzinidev made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9649
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- @eantono made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9663
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### v2.27.0 (5/1/2023)
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#### Highlights

docs/en/faq.md

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| MMDetection version | MMCV version |
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| :-----------------: | :------------------------: |
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| master | mmcv-full>=1.3.17, \<1.8.0 |
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| 2.28.0 | mmcv-full>=1.3.17, \<1.8.0 |
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| 2.27.0 | mmcv-full>=1.3.17, \<1.8.0 |
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| 2.26.0 | mmcv-full>=1.3.17, \<1.8.0 |
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| 2.25.3 | mmcv-full>=1.3.17, \<1.7.0 |

mmdet/version.py

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# Copyright (c) OpenMMLab. All rights reserved.
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__version__ = '2.27.0'
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__version__ = '2.28.0'
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short_version = __version__
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