diff --git a/README.md b/README.md index f3013f0b..e444de47 100644 --- a/README.md +++ b/README.md @@ -41,6 +41,14 @@ https://user-images.githubusercontent.com/62529255/144362861-e794b404-c48f-4ebe- A suite of differentiale visualization tools for human parametric model rendering (including part segmentation, depth map and point clouds) and conventional 2D/3D keypoints are available. +## News +- 2022-02-11: MMHuman3D [v0.5.0](https://github.com/open-mmlab/mmhuman3d/releases/tag/v0.5.0) is released. Major updates include: + - Support new data structure SMC for new dataset HuMMan, which will soon be released + - Support for multi-GPU training/testing without slurm + - Support training-time validation and additional metrics such as PVE + - Bug fixes in data augmentation for more stable training + - Stronger HybrIK baseline (PA-MPJPE 49.02 on 3DPW) + ## Benchmark and Model Zoo More details can be found in [model_zoo.md](docs/model_zoo.md). @@ -146,3 +154,6 @@ We wish that the toolbox and benchmark could serve the growing research communit - [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark. - [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab FewShot Learning Toolbox and Benchmark. - [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 3D Human Parametric Model Toolbox and Benchmark. +- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab self-supervised learning toolbox and benchmark. +- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab model compression toolbox and benchmark. +- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab model deployment framework. diff --git a/README_CN.md b/README_CN.md index 94191da2..b968136b 100644 --- a/README_CN.md +++ b/README_CN.md @@ -41,6 +41,14 @@ https://user-images.githubusercontent.com/62529255/144362861-e794b404-c48f-4ebe- 一整套可微的可视化工具支持人体参数化模型的渲染(包括部分分割,深度图以及点云)和传统 2D/3D 关键点的可视化。 +## 最新进展 +- 2022-02-11: MMHuman3D [v0.5.0](https://github.com/open-mmlab/mmhuman3d/releases/tag/v0.5.0) 已经发布. 主要更新包括: + - 支持新的数据结构SMC以及即将发布的新数据集HuMMan + - 支持在非slurm环境下的多GPU训练/测试 + - 支持训练时验证及更多测试指标如PVE + - 修复数据增强的问题使训练稳定 + - 更强的HybrIK基线(3DPW上达到PA-MPJPE 49.02) + ## 基准与模型库 更多详情可见 [模型库](docs/model_zoo.md)。 @@ -145,6 +153,9 @@ MMHuman3D是一款由不同学校和公司共同贡献的开源项目。我们 - [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab 光流估计工具箱与测试基准 - [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab 少样本学习工具箱与测试基准 - [MMHuman3D](https://github.com/open-mmlab/mmhuman3d):OpenMMLab 人体参数化模型工具箱与测试基准 +- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab 自监督学习工具箱与测试基准 +- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab 模型压缩工具箱与测试基准 +- [MMDeploy](https://github.com/open-mmlab/mmdeploy):OpenMMLab 模型部署框架 ## 欢迎加入 OpenMMLab 社区 diff --git a/mmhuman3d/version.py b/mmhuman3d/version.py index 6c7acce6..59c44b14 100644 --- a/mmhuman3d/version.py +++ b/mmhuman3d/version.py @@ -1,6 +1,6 @@ # Copyright (c) Open-MMLab. All rights reserved. -__version__ = '0.4.0' +__version__ = '0.5.0' def parse_version_info(version_str):