bump version v0.29.0 (#1717)

README.md

@@ -15,6 +15,13 @@
         <i>TRY IT OUT</i>
       </a>
     </sup>
+    &nbsp;&nbsp;&nbsp;&nbsp;
+    <b>MMPose 1.0 Public Beta</b>
+    <sup>
+      <a href="https://mmpose.readthedocs.io/en/1.x/overview.html">
+        <i>JOIN</i>
+      </a>
+    </sup>
   </div>
   <div>&nbsp;</div>
 
@@ -26,11 +33,11 @@
 [![Average time to resolve an issue](https://isitmaintained.com/badge/resolution/open-mmlab/mmpose.svg)](https://github.com/open-mmlab/mmpose/issues)
 [![Percentage of issues still open](https://isitmaintained.com/badge/open/open-mmlab/mmpose.svg)](https://github.com/open-mmlab/mmpose/issues)
 
-[📘Documentation](https://mmpose.readthedocs.io/en/v0.28.0/) |
-[🛠️Installation](https://mmpose.readthedocs.io/en/v0.28.0/install.html) |
-[👀Model Zoo](https://mmpose.readthedocs.io/en/v0.28.0/modelzoo.html) |
-[📜Papers](https://mmpose.readthedocs.io/en/v0.28.0/papers/algorithms.html) |
-[🆕Update News](https://mmpose.readthedocs.io/en/v0.28.0/changelog.html) |
+[📘Documentation](https://mmpose.readthedocs.io/en/v0.29.0/) |
+[🛠️Installation](https://mmpose.readthedocs.io/en/v0.29.0/install.html) |
+[👀Model Zoo](https://mmpose.readthedocs.io/en/v0.29.0/modelzoo.html) |
+[📜Papers](https://mmpose.readthedocs.io/en/v0.29.0/papers/algorithms.html) |
+[🆕Update News](https://mmpose.readthedocs.io/en/v0.29.0/changelog.html) |
 [🤔Reporting Issues](https://github.com/open-mmlab/mmpose/issues/new/choose)
 
 </div>
@@ -78,10 +85,10 @@ https://user-images.githubusercontent.com/15977946/124654387-0fd3c500-ded1-11eb-
 
 ## What's New
 
-- 2022-07-06: MMPose [v0.28.0](https://github.com/open-mmlab/mmpose/releases/tag/v0.28.0) is released. Major updates include:
-  - Support [TCFormer](https://openaccess.thecvf.com/content/CVPR2022/html/Zeng_Not_All_Tokens_Are_Equal_Human-Centric_Visual_Analysis_via_Token_CVPR_2022_paper.html) (CVPR'2022). See the [model page](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/tcformer_coco-wholebody.md)
-  - Add [RLE](https://arxiv.org/abs/2107.11291) pre-trained model on COCO dataset. See the [model page](/configs/body/2d_kpt_sview_rgb_img/deeppose/coco/resnet_rle_coco.md)
-  - Update [Swin](/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/swin_coco.md) models with better performance
+- 2022-10-14: MMPose [v0.29.0](https://github.com/open-mmlab/mmpose/releases/tag/v0.29.0) is released. Major updates include:
+  - Support [DEKR](https://arxiv.org/abs/2104.02300) (CVPR'2021). See the [model page](/configs/body/2d_kpt_sview_rgb_img/dekr/coco/hrnet_coco.md)
+  - Support [CID](https://openaccess.thecvf.com/content/CVPR2022/html/Wang_Contextual_Instance_Decoupling_for_Robust_Multi-Person_Pose_Estimation_CVPR_2022_paper.html) (CVPR'2022). See the [model page](/configs/body/2d_kpt_sview_rgb_img/cid/coco/hrnet_coco.md)
+- 2022-09-01: **MMPose v1.0.0** beta has been released \[ [Code](https://github.com/open-mmlab/mmpose/tree/1.x) | [Docs](https://mmpose.readthedocs.io/en/1.x/) \]. Welcome to try it and your feedback will be greatly appreciated!
 - 2022-02-28: MMPose model deployment is supported by [MMDeploy](https://github.com/open-mmlab/mmdeploy) v0.3.0
   MMPose Webcam API is a simple yet powerful tool to develop interactive webcam applications with MMPose features.
 - 2021-12-29: OpenMMLab Open Platform is online! Try our [pose estimation demo](https://platform.openmmlab.com/web-demo/demo/poseestimation)
@@ -141,6 +148,8 @@ A summary can be found in the [Model Zoo](https://mmpose.readthedocs.io/en/lates
 - [x] [VoxelPose](https://mmpose.readthedocs.io/en/latest/papers/algorithms.html#voxelpose-eccv-2020) (ECCV'2020)
 - [x] [LiteHRNet](https://mmpose.readthedocs.io/en/latest/papers/backbones.html#litehrnet-cvpr-2021) (CVPR'2021)
 - [x] [ViPNAS](https://mmpose.readthedocs.io/en/latest/papers/backbones.html#vipnas-cvpr-2021) (CVPR'2021)
+- [x] [DEKR](https://mmpose.readthedocs.io/zh_CN/latest/papers/algorithms.html#dekr-cvpr-2021) (CVPR'2021)
+- [x] [CID](https://mmpose.readthedocs.io/zh_CN/latest/papers/algorithms.html#cid-cvpr-2022) (CVPR'2022)
 
 </details>
 

README_CN.md

@@ -15,6 +15,13 @@
         <i><font size="4">TRY IT OUT</font></i>
       </a>
     </sup>
+    &nbsp;&nbsp;&nbsp;&nbsp;
+    <b><font size="5">MMPose 1.0 公测</font></b>
+    <sup>
+      <a href="https://mmpose.readthedocs.io/en/1.x/overview.html">
+        <i><font size="4">JOIN</font></i>
+      </a>
+    </sup>
   </div>
   <div>&nbsp;</div>
 
@@ -26,11 +33,11 @@
 [![Average time to resolve an issue](https://isitmaintained.com/badge/resolution/open-mmlab/mmpose.svg)](https://github.com/open-mmlab/mmpose/issues)
 [![Percentage of issues still open](https://isitmaintained.com/badge/open/open-mmlab/mmpose.svg)](https://github.com/open-mmlab/mmpose/issues)
 
-[📘文档](https://mmpose.readthedocs.io/zh_CN/v0.28.0/) |
-[🛠️安装](https://mmpose.readthedocs.io/zh_CN/v0.28.0/install.html) |
-[👀模型库](https://mmpose.readthedocs.io/zh_CN/v0.28.0/modelzoo.html) |
-[📜论文库](https://mmpose.readthedocs.io/zh_CN/v0.28.0/papers/algorithms.html) |
-[🆕更新日志](https://mmpose.readthedocs.io/en/v0.28.0/changelog.html) |
+[📘文档](https://mmpose.readthedocs.io/zh_CN/v0.29.0/) |
+[🛠️安装](https://mmpose.readthedocs.io/zh_CN/v0.29.0/install.html) |
+[👀模型库](https://mmpose.readthedocs.io/zh_CN/v0.29.0/modelzoo.html) |
+[📜论文库](https://mmpose.readthedocs.io/zh_CN/v0.29.0/papers/algorithms.html) |
+[🆕更新日志](https://mmpose.readthedocs.io/en/v0.29.0/changelog.html) |
 [🤔报告问题](https://github.com/open-mmlab/mmpose/issues/new/choose)
 
 </div>
@@ -78,11 +85,10 @@ https://user-images.githubusercontent.com/15977946/124654387-0fd3c500-ded1-11eb-
 
 ## 最新进展
 
-- 2022-07-06: MMPose [v0.28.0](https://github.com/open-mmlab/mmpose/releases/tag/v0.28.0) 已经发布. 主要更新包括:
-  - 支持了新的主干网络 [TCFormer](https://openaccess.thecvf.com/content/CVPR2022/html/Zeng_Not_All_Tokens_Are_Equal_Human-Centric_Visual_Analysis_via_Token_CVPR_2022_paper.html) (CVPR'2022)，详见 [模型信息](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/tcformer_coco-wholebody.md)
-  - 增加了 [RLE](https://arxiv.org/abs/2107.11291) 在 COCO 数据集上的模型，详见 [模型信息](/configs/body/2d_kpt_sview_rgb_img/deeppose/coco/resnet_rle_coco.md)
-  - 优化了 [Swin](/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/swin_coco.md) 模型精度
-- 2022-04: MMPose 代码可以通过 [Gitee](https://gitee.com/open-mmlab/mmpose) 访问
+- 2022-10-14: MMPose [v0.29.0](https://github.com/open-mmlab/mmpose/releases/tag/v0.29.0) 已经发布，主要更新包括：
+  - 新增算法 [DEKR](https://arxiv.org/abs/2104.02300) (CVPR'2021). 详情请见 [模型页面](/configs/body/2d_kpt_sview_rgb_img/dekr/coco/hrnet_coco.md)
+  - 新增算法 [CID](https://openaccess.thecvf.com/content/CVPR2022/html/Wang_Contextual_Instance_Decoupling_for_Robust_Multi-Person_Pose_Estimation_CVPR_2022_paper.html) (CVPR'2022). 详情请见 [模型页面](/configs/body/2d_kpt_sview_rgb_img/cid/coco/hrnet_coco.md)
+- 2022-09-01: **MMPose v1.0.0** 公测版本已经发布 \[ [Code](https://github.com/open-mmlab/mmpose/tree/1.x) | [Docs](https://mmpose.readthedocs.io/en/1.x/) \]，欢迎尝试并提出宝贵意见
 - 2022-02-28: [MMDeploy](https://github.com/open-mmlab/mmdeploy) v0.3.0 支持 MMPose 模型部署
 - 2021-12-29: OpenMMLab 开放平台已经正式上线! 欢迎试用基于 MMPose 的[姿态估计 Demo](https://platform.openmmlab.com/web-demo/demo/poseestimation)
 
@@ -138,9 +144,11 @@ MMPose 也提供了其他更详细的教程:
 - [x] [HigherHRNet](https://mmpose.readthedocs.io/zh_CN/latest/papers/backbones.html#higherhrnet-cvpr-2020) (CVPR'2020)
 - [x] [RSN](https://mmpose.readthedocs.io/zh_CN/latest/papers/backbones.html#rsn-eccv-2020) (ECCV'2020)
 - [x] [InterNet](https://mmpose.readthedocs.io/zh_CN/latest/papers/algorithms.html#internet-eccv-2020) (ECCV'2020)
-- [x] [VoxelPose](https://mmpose.readthedocs.io/zh_CN/latest/papers/algorithms.html#voxelpose-eccv-2020) (ECCV'2020
+- [x] [VoxelPose](https://mmpose.readthedocs.io/zh_CN/latest/papers/algorithms.html#voxelpose-eccv-2020) (ECCV'2020)
 - [x] [LiteHRNet](https://mmpose.readthedocs.io/zh_CN/latest/papers/backbones.html#litehrnet-cvpr-2021) (CVPR'2021)
 - [x] [ViPNAS](https://mmpose.readthedocs.io/zh_CN/latest/papers/backbones.html#vipnas-cvpr-2021) (CVPR'2021)
+- [x] [DEKR](https://mmpose.readthedocs.io/zh_CN/latest/papers/algorithms.html#dekr-cvpr-2021) (CVPR'2021)
+- [x] [CID](https://mmpose.readthedocs.io/zh_CN/latest/papers/algorithms.html#cid-cvpr-2022) (CVPR'2022)
 
 </details>
 

docs/en/changelog.md

@@ -1,5 +1,34 @@
 # Changelog
 
+## v0.29.0 (14/10/2022)
+
+**Highlights**
+
+- Support [DEKR](https://arxiv.org/abs/2104.02300), CVPR'2021 ([#1693](https://github.com/open-mmlab/mmpose/pull/1693)) @JinluZhang1126, @jin-s13, @Ben-Louis
+- Support [CID](https://openaccess.thecvf.com/content/CVPR2022/html/Wang_Contextual_Instance_Decoupling_for_Robust_Multi-Person_Pose_Estimation_CVPR_2022_paper.html), CVPR'2022 ([#1604](https://github.com/open-mmlab/mmpose/pull/1604)) @kennethwdk, @jin-s13, @Ben-Louis
+
+**Improvements**
+
+- Improve 3D pose estimation demo with viewpoint & height controlling and enriched input formats ([#1481](https://github.com/open-mmlab/mmpose/pull/1481), [#1490](https://github.com/open-mmlab/mmpose/pull/1490)) @pallgeuer, @liqikai9
+- Improve smoothing of 3D video pose estimation ([#1479](https://github.com/open-mmlab/mmpose/pull/1479)) @darcula1993
+- Improve dependency management for smoother installation ([#1491](https://github.com/open-mmlab/mmpose/pull/1491)) @danielbraun89
+- Improve documentation quality ([#1680](https://github.com/open-mmlab/mmpose/pull/1680), [#1525](https://github.com/open-mmlab/mmpose/pull/1525), [#1516](https://github.com/open-mmlab/mmpose/pull/1516), [#1513](https://github.com/open-mmlab/mmpose/pull/1513), [#1511](https://github.com/open-mmlab/mmpose/pull/1511), [#1507](https://github.com/open-mmlab/mmpose/pull/1507), [#1506](https://github.com/open-mmlab/mmpose/pull/1506), [#1525](https://github.com/open-mmlab/mmpose/pull/1525)) @Ben-Louis, @Yulv-git, @jin-s13
+
+**Bug Fixes**
+
+- Update dependency versions of pre-commit-hooks ([#1706](https://github.com/open-mmlab/mmpose/pull/1706), [#1678](https://github.com/open-mmlab/mmpose/pull/1678)) @Ben-Louis, @liqikai9
+- Fix missing data transforms in RLE configs ([#1632](https://github.com/open-mmlab/mmpose/pull/1632)) @Ben-Louis
+- Fix a bug in `fliplr_joints` that causes error when keypoint visibility has float values ([#1589](https://github.com/open-mmlab/mmpose/pull/1589)) @walsvid
+- Fix hsigmoid default parameters ([#1575](https://github.com/open-mmlab/mmpose/pull/1575)) @Ben-Louis
+- Fix a bug in UDP decoding ([#1565](https://github.com/open-mmlab/mmpose/pull/1565)) @liqikai9
+- Fix a bug in pose tracking demo with non-COCO dataset ([#1504](https://github.com/open-mmlab/mmpose/pull/1504)) @daixinghome
+- Fix typos and unused contents in configs ([#1499](https://github.com/open-mmlab/mmpose/pull/1499), [#1496](https://github.com/open-mmlab/mmpose/pull/1496)) @liqikai9
+- Fix a bug in the mesh demo ([#1482](https://github.com/open-mmlab/mmpose/pull/1482)) @zengwang430521
+
+## **v0.28.1 (28/07/2022)**
+
+This release is meant to fix the compatibility with the latest mmcv v1.6.1
+
 ## v0.28.0 (06/07/2022)
 
 **Highlights**

mmpose/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.28.1'
+__version__ = '0.29.0'
 short_version = __version__
 
 

model-index.yml

@@ -23,7 +23,7 @@ Import:
 - configs/body/2d_kpt_sview_rgb_img/associative_embedding/coco/resnet_coco.yml
 - configs/body/2d_kpt_sview_rgb_img/associative_embedding/crowdpose/higherhrnet_crowdpose.yml
 - configs/body/2d_kpt_sview_rgb_img/associative_embedding/mhp/hrnet_mhp.yml
-- configs/body/2d_kpt_sview_rgb_img/cid/coco/cid_coco.yml
+- configs/body/2d_kpt_sview_rgb_img/cid/coco/hrnet_coco.yml
 - configs/body/2d_kpt_sview_rgb_img/deeppose/coco/resnet_coco.yml
 - configs/body/2d_kpt_sview_rgb_img/deeppose/coco/resnet_rle_coco.yml
 - configs/body/2d_kpt_sview_rgb_img/deeppose/mpii/resnet_mpii.yml