Bump version to v0.6.0 (#43)

- Bump version to v0.6.0
- Add logo in README

README.md

@@ -1,4 +1,10 @@
-# XRMocap
+<br/>
+
+<div align="center">
+    <img src="resources/xrmocap-logo.png" width="600"/>
+</div>
+
+<br/>
 
 <div align="left">
 
@@ -37,6 +43,18 @@ A detailed introduction can be found in [introduction.md](./docs/en/tutorials/in
 
   XRMoCap decomposes the framework into several components, based on which optimization-based and learning-based methods are integrated into one framework. Users can easily prototype a customized multi-view mocap pipeline by choosing different components in configs.
 
+## News
+
+- 2022-10-14: XRMoCap [v0.6.0](https://github.com/openxrlab/xrmocap/releases/tag/v0.6.0) is released. Major updates include:
+  - Add [4D Association Graph](http://www.liuyebin.com/4dassociation/), the first Python implementation to reproduce this algorithm
+  - Add Multi-view multi-person top-down smpl estimation
+  - Add reprojection error point selector
+- 2022-09-01: XRMoCap [v0.5.0](https://github.com/openxrlab/xrmocap/releases/tag/v0.5.0) is released. Major updates include:
+  - Support [HuMMan Mocap](https://caizhongang.github.io/projects/HuMMan/) toolchain for multi-view single person SMPL estimation
+  - Reproduce [MvP](https://arxiv.org/pdf/2111.04076.pdf), a deep-learning-based SOTA for multi-view multi-human 3D pose estimation
+  - Reproduce [MVPose (single frame)](https://arxiv.org/abs/1901.04111) and [MVPose (temporal tracking and filtering)](https://ieeexplore.ieee.org/document/9492024), two optimization-based methods for multi-view multi-human 3D pose estimation
+  - Support SMPLify, SMPLifyX, SMPLifyD and SMPLifyXD
+
 
 ## Benchmark
 

docs/en/changelog.md

@@ -1,5 +1,48 @@
 # Changelog
 
+### v0.6.0 (14/10/2022/)
+
+**Highlights**
+
+- Add [4D Association Graph](http://www.liuyebin.com/4dassociation/), the first Python implementation to reproduce this algorithm
+- Add Multi-view multi-person top-down smpl estimation
+- Add reprojection error point selector
+
+**New Features**
+
+- Add [4D Association Graph](http://www.liuyebin.com/4dassociation/), the first Python implementation to reproduce this algorithm
+- Add Multi-view multi-person top-down smpl estimation
+- Add structures for mview mperson kps3d/smpl estimator
+- Add reprojection error point selector
+
+**Refactors**
+
+- Refactor Deformable and ProjAttn for MvP
+
+**Documentation**
+
+- Add readthedocs
+- Add shape-aware 3d pose optim doc
+- Update docs and tutorials for MvP training and evaluation
+- Update docs and benchmark for MVPose and MVPose tracking
+- Update docs for single person in getting started
+- Add LICENSE note
+- Add S-Lab license
+- Fix outdata URL, and advices for docs
+
+**CICD**
+
+- Add some github actions for issue management
+- Fix github workflow build job won't fail when pytest fails
+- Remove secrets in build CI
+
+**Bug Fixes**
+
+- Fix SMPL(X/XD)Data
+- Fix mistakes for mview sperson
+- Fix bugs in MvP training
+
+
 ### v0.5.0 (01/09/2022/)
 
 **Highlights**

xrmocap/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenXRLab. All rights reserved.
 
-__version__ = '0.5.0'
+__version__ = '0.6.0'
 
 
 def parse_version_info(version_str):