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Bump version v1.0.0rc0 (#1718)
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39 changes: 26 additions & 13 deletions README.md
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## What's New

- 2022-10-14: MMPose [v1.0.0rc0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0rc0) is released. Major updates include:

- Support 4 light-weight pose estimation algorithms
- SimCC (ECCV'22): [paper](https://doi.org/10.48550/arxiv.2107.03332) | [models](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/simcc/README.md)
- Debias-IPR (ICCV'21): [paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Gu_Removing_the_Bias_of_Integral_Pose_Regression_ICCV_2021_paper.pdf) | [models](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
- IPR (ECCV'18): [paper](https://arxiv.org/abs/1711.08229) | [models](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
- DSNT (ArXiv'18): [paper](https://arxiv.org/abs/1801.07372v2) | [models](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
- Add [Colab tutorial](https://github.com/open-mmlab/mmpose/blob/1.x/demo/MMPose_Tutorial.ipynb) for MMPose v1.0

- 2022-09-01: MMPose [v1.0.0b0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0b0) is released!

- This release introduced major refactoring to MMPose towards better performance, extensibility and user-friendliness.
- Built upon a brand new and flexible training & test engine, which is still in progress. Welcome to try according to [the documentation](https://mmpose.readthedocs.io/en/1.x/).
- There are BC-breaking changes. Please check [the migration tutorial](https://mmpose.readthedocs.io/en/1.x/migration.html).
Expand Down Expand Up @@ -118,35 +128,38 @@ A summary can be found in the [Model Zoo](https://mmpose.readthedocs.io/en/1.x/m
- [x] [DeepPose](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#deeppose-cvpr-2014) (CVPR'2014)
- [x] [CPM](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#cpm-cvpr-2016) (CVPR'2016)
- [x] [Hourglass](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#hourglass-eccv-2016) (ECCV'2016)
- [x] [SimpleBaseline3D](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#simplebaseline3d-iccv-2017) (ICCV'2017)
- [x] [Associative Embedding](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#associative-embedding-nips-2017) (NeurIPS'2017)
- [x] [HMR](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#hmr-cvpr-2018) (CVPR'2018)
- [ ] [SimpleBaseline3D](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#simplebaseline3d-iccv-2017) (ICCV'2017)
- [ ] [Associative Embedding](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#associative-embedding-nips-2017) (NeurIPS'2017)
- [x] [SimpleBaseline2D](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#simplebaseline2d-eccv-2018) (ECCV'2018)
- [x] [DSNT](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#dsnt-2018) (ArXiv'2021)
- [x] [HRNet](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#hrnet-cvpr-2019) (CVPR'2019)
- [x] [VideoPose3D](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#videopose3d-cvpr-2019) (CVPR'2019)
- [x] [IPR](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#ipr-eccv-2018) (ECCV'2018)
- [ ] [VideoPose3D](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#videopose3d-cvpr-2019) (CVPR'2019)
- [x] [HRNetv2](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#hrnetv2-tpami-2019) (TPAMI'2019)
- [x] [MSPN](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#mspn-arxiv-2019) (ArXiv'2019)
- [x] [SCNet](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#scnet-cvpr-2020) (CVPR'2020)
- [x] [HigherHRNet](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#higherhrnet-cvpr-2020) (CVPR'2020)
- [ ] [HigherHRNet](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#higherhrnet-cvpr-2020) (CVPR'2020)
- [x] [RSN](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#rsn-eccv-2020) (ECCV'2020)
- [x] [InterNet](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#internet-eccv-2020) (ECCV'2020)
- [x] [VoxelPose](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#voxelpose-eccv-2020) (ECCV'2020)
- [ ] [InterNet](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#internet-eccv-2020) (ECCV'2020)
- [ ] [VoxelPose](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#voxelpose-eccv-2020) (ECCV'2020)
- [x] [LiteHRNet](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#litehrnet-cvpr-2021) (CVPR'2021)
- [x] [ViPNAS](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/backbones.html#vipnas-cvpr-2021) (CVPR'2021)
- [x] [Debias-IPR](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#debias-ipr-iccv-2021) (ICCV'2021)
- [x] [SimCC](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html#simcc-eccv-2022) (ECCV'2022)

</details>

<details open>
<summary><b>Supported techniques:</b></summary>

- [x] [FPN](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#fpn-cvpr-2017) (CVPR'2017)
- [x] [FP16](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#fp16-arxiv-2017) (ArXiv'2017)
- [x] [Wingloss](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#wingloss-cvpr-2018) (CVPR'2018)
- [x] [AdaptiveWingloss](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#adaptivewingloss-iccv-2019) (ICCV'2019)
- [ ] [FPN](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#fpn-cvpr-2017) (CVPR'2017)
- [ ] [FP16](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#fp16-arxiv-2017) (ArXiv'2017)
- [ ] [Wingloss](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#wingloss-cvpr-2018) (CVPR'2018)
- [ ] [AdaptiveWingloss](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#adaptivewingloss-iccv-2019) (ICCV'2019)
- [x] [DarkPose](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#darkpose-cvpr-2020) (CVPR'2020)
- [x] [UDP](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#udp-cvpr-2020) (CVPR'2020)
- [x] [Albumentations](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#albumentations-information-2020) (Information'2020)
- [x] [SoftWingloss](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#softwingloss-tip-2021) (TIP'2021)
- [ ] [Albumentations](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#albumentations-information-2020) (Information'2020)
- [ ] [SoftWingloss](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#softwingloss-tip-2021) (TIP'2021)
- [x] [RLE](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/techniques.html#rle-iccv-2021) (ICCV'2021)

</details>
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44 changes: 28 additions & 16 deletions README_CN.md
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## 最新进展

- 2022-09-01: MMPose MMPose [v1.0.0b0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0b0) 已经发布. 主要更新包括:
- 2022-10-14: MMPose [v1.0.0rc0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0rc0) 已经发布. 主要更新包括:

- 增加了 4 个轻量化姿态估计算法
- SimCC (ECCV'22): [论文链接](https://doi.org/10.48550/arxiv.2107.03332) | [模型](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/simcc/README.md)
- Debias-IPR (ICCV'21): [论文链接](https://openaccess.thecvf.com/content/ICCV2021/papers/Gu_Removing_the_Bias_of_Integral_Pose_Regression_ICCV_2021_paper.pdf) | [模型](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
- IPR (ECCV'18): [论文链接](https://arxiv.org/abs/1711.08229) | [模型](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
- DSNT (ArXiv'18): [论文链接](https://arxiv.org/abs/1801.07372v2) | [模型](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
- 增加 MMPose 1.0 [Colab 教程](https://github.com/open-mmlab/mmpose/blob/1.x/demo/MMPose_Tutorial.ipynb)

- 2022-09-01: MMPose [v1.0.0b0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0b0) 已经发布. 主要更新包括:

- 对 MMPose 进行了重大重构,旨在提升算法库性能和可扩展性,并使其更容易上手。
- 基于一个全新的,可扩展性强的训练和测试引擎,但目前仍在开发中。欢迎根据[文档](https://mmpose.readthedocs.io/zh_CN/1.x/)进行试用。
- 新版本中存在一些与旧版本不兼容的修改。请查看[迁移文档](https://mmpose.readthedocs.io/zh_CN/1.x/migration.html)来详细了解这些变动。
-新版本的公测将持续到 2022 年末,在此期间,我们将基于 `1.x` 分支进行更新,不会合入到 `master` 分支。另外,至少
- 新版本的公测将持续到 2022 年末,在此期间,我们将基于 `1.x` 分支进行更新,不会合入到 `master` 分支。另外,至少
到 2023 年末,我们会保持对 0.x 版本的维护。

发布历史和更新细节请参考 [更新日志](https://mmpose.readthedocs.io/zh_CN/1.x/notes/changelog.html)
Expand Down Expand Up @@ -121,36 +131,38 @@ mim install -e
- [x] [DeepPose](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#deeppose-cvpr-2014) (CVPR'2014)
- [x] [CPM](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#cpm-cvpr-2016) (CVPR'2016)
- [x] [Hourglass](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#hourglass-eccv-2016) (ECCV'2016)
- [x] [SimpleBaseline3D](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#simplebaseline3d-iccv-2017) (ICCV'2017)
- [x] [Associative Embedding](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#associative-embedding-nips-2017) (NeurIPS'2017)
- [x] [HMR](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#hmr-cvpr-2018) (CVPR'2018)
- [ ] [SimpleBaseline3D](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#simplebaseline3d-iccv-2017) (ICCV'2017)
- [ ] [Associative Embedding](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#associative-embedding-nips-2017) (NeurIPS'2017)
- [x] [SimpleBaseline2D](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#simplebaseline2d-eccv-2018) (ECCV'2018)
- [x] [DSNT](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#dsnt-2018) (ArXiv'2021)
- [x] [HRNet](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#hrnet-cvpr-2019) (CVPR'2019)
- [x] [VideoPose3D](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#videopose3d-cvpr-2019) (CVPR'2019)
- [x] [IPR](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#ipr-eccv-2018) (ECCV'2018)
- [ ] [VideoPose3D](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#videopose3d-cvpr-2019) (CVPR'2019)
- [x] [HRNetv2](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#hrnetv2-tpami-2019) (TPAMI'2019)
- [x] [MSPN](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#mspn-arxiv-2019) (ArXiv'2019)
- [x] [SCNet](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#scnet-cvpr-2020) (CVPR'2020)
- [x] [HigherHRNet](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#higherhrnet-cvpr-2020) (CVPR'2020)
- [ ] [HigherHRNet](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#higherhrnet-cvpr-2020) (CVPR'2020)
- [x] [RSN](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#rsn-eccv-2020) (ECCV'2020)
- [x] [InterNet](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#internet-eccv-2020) (ECCV'2020)
- [x] [VoxelPose](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#voxelpose-eccv-2020) (ECCV'2020
- [ ] [InterNet](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#internet-eccv-2020) (ECCV'2020)
- [ ] [VoxelPose](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#voxelpose-eccv-2020) (ECCV'2020)
- [x] [LiteHRNet](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#litehrnet-cvpr-2021) (CVPR'2021)
- [x] [ViPNAS](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/backbones.html#vipnas-cvpr-2021) (CVPR'2021)
- [x] [Debias-IPR](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#debias-ipr-iccv-2021) (ICCV'2021)
- [x] [SimCC](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html#simcc-eccv-2022) (ECCV'2022)

</details>

<details open>
<summary><b>支持的技术</b></summary>

- [x] [FPN](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#fpn-cvpr-2017) (CVPR'2017)
- [x] [FP16](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#fp16-arxiv-2017) (ArXiv'2017)
- [x] [Wingloss](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#wingloss-cvpr-2018) (CVPR'2018)
- [x] [AdaptiveWingloss](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#adaptivewingloss-iccv-2019) (ICCV'2019)
- [ ] [FPN](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#fpn-cvpr-2017) (CVPR'2017)
- [ ] [FP16](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#fp16-arxiv-2017) (ArXiv'2017)
- [ ] [Wingloss](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#wingloss-cvpr-2018) (CVPR'2018)
- [ ] [AdaptiveWingloss](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#adaptivewingloss-iccv-2019) (ICCV'2019)
- [x] [DarkPose](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#darkpose-cvpr-2020) (CVPR'2020)
- [x] [UDP](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#udp-cvpr-2020) (CVPR'2020)
- [x] [Albumentations](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#albumentations-information-2020) (Information'2020)
- [x] [SoftWingloss](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#softwingloss-tip-2021) (TIP'2021)
- [x] [SmoothNet](/configs/_base_/filters/smoothnet_h36m.md) (arXiv'2021)
- [ ] [Albumentations](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#albumentations-information-2020) (Information'2020)
- [ ] [SoftWingloss](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#softwingloss-tip-2021) (TIP'2021)
- [x] [RLE](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/techniques.html#rle-iccv-2021) (ICCV'2021)

</details>
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@@ -1,5 +1,36 @@
# Changelog

## **v1.0.0rc0 (14/10/2022)**

**New Features**

- Support 4 light-weight pose estimation algorithms: [SimCC](https://doi.org/10.48550/arxiv.2107.03332) (ECCV'2022), [Debias-IPR](https://openaccess.thecvf.com/content/ICCV2021/papers/Gu_Removing_the_Bias_of_Integral_Pose_Regression_ICCV_2021_paper.pdf) (ICCV'2021), [IPR](https://arxiv.org/abs/1711.08229) (ECCV'2018), and [DSNT](https://arxiv.org/abs/1801.07372v2) (ArXiv'2018) ([#1628](https://github.com/open-mmlab/mmpose/pull/1628))

**Migrations**

- Add Webcam API in MMPose 1.0 ([#1638](https://github.com/open-mmlab/mmpose/pull/1638), [#1662](https://github.com/open-mmlab/mmpose/pull/1662)) @Ben-Louis
- Add codec for Associative Embedding (beta) ([#1603](https://github.com/open-mmlab/mmpose/pull/1603)) @ly015

**Improvements**

- Add a colab tutorial for MMPose 1.0 ([#1660](https://github.com/open-mmlab/mmpose/pull/1660)) @Tau-J
- Add model index in config folder ([#1710](https://github.com/open-mmlab/mmpose/pull/1710), [#1709](https://github.com/open-mmlab/mmpose/pull/1709), [#1627](https://github.com/open-mmlab/mmpose/pull/1627)) @ly015, @Tau-J, @Ben-Louis
- Update and improve documentation ([#1692](https://github.com/open-mmlab/mmpose/pull/1692), [#1656](https://github.com/open-mmlab/mmpose/pull/1656), [#1681](https://github.com/open-mmlab/mmpose/pull/1681), [#1677](https://github.com/open-mmlab/mmpose/pull/1677), [#1664](https://github.com/open-mmlab/mmpose/pull/1664), [#1659](https://github.com/open-mmlab/mmpose/pull/1659)) @Tau-J, @Ben-Louis, @liqikai9
- Improve config structures and formats ([#1651](https://github.com/open-mmlab/mmpose/pull/1651)) @liqikai9

**Bug Fixes**

- Update mmengine version requirements ([#1715](https://github.com/open-mmlab/mmpose/pull/1715)) @Ben-Louis
- Update dependencies of pre-commit hooks ([#1705](https://github.com/open-mmlab/mmpose/pull/1705)) @Ben-Louis
- Fix mmcv version in DockerFile ([#1704](https://github.com/open-mmlab/mmpose/pull/1704))
- Fix a bug in setting dataset metainfo in configs ([#1684](https://github.com/open-mmlab/mmpose/pull/1684)) @ly015
- Fix a bug in UDP training ([#1682](https://github.com/open-mmlab/mmpose/pull/1682)) @liqikai9
- Fix a bug in Dark decoding ([#1676](https://github.com/open-mmlab/mmpose/pull/1676)) @liqikai9
- Fix bugs in visualization ([#1671](https://github.com/open-mmlab/mmpose/pull/1671), [#1668](https://github.com/open-mmlab/mmpose/pull/1668), [#1657](https://github.com/open-mmlab/mmpose/pull/1657)) @liqikai9, @Ben-Louis
- Fix incorrect flops calculation ([#1669](https://github.com/open-mmlab/mmpose/pull/1669)) @liqikai9
- Fix `tensor.tile` compatibility issue for pytorch 1.6 ([#1658](https://github.com/open-mmlab/mmpose/pull/1658)) @ly015
- Fix compatibility with `MultilevelPixelData` ([#1647](https://github.com/open-mmlab/mmpose/pull/1647)) @liqikai9

## **v1.0.0beta (1/09/2022)**

We are excited to announce the release of MMPose 1.0.0beta.
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2 changes: 1 addition & 1 deletion mmpose/version.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '1.0.0b0'
__version__ = '1.0.0rc0'
short_version = __version__


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