Bump version to v0.10.0 (#259)

Bump version to v0.10.0

.github/workflows/build.yml

@@ -72,7 +72,7 @@ jobs:
           conda install pytorch3d -c pytorch3d
       - name: Install MMCV
         run: |
-          pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.torch}}/index.html
+          pip install "mmcv-full>=1.3.17,<=1.5.3" -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.torch}}/index.html
           python -c 'import mmcv; print(mmcv.__version__)'
       - name: Install other dependencies
         run: pip install -r requirements.txt

.github/workflows/lint.yml

@@ -11,10 +11,10 @@ jobs:
     runs-on: ubuntu-18.04
     steps:
       - uses: actions/checkout@v2
-      - name: Set up Python 3.7
+      - name: Set up Python 3.8
         uses: actions/setup-python@v2
         with:
-          python-version: 3.7
+          python-version: 3.8
       - name: Install pre-commit hook
         run: |
           sudo apt-add-repository ppa:brightbox/ruby-ng -y

README.md

@@ -42,6 +42,10 @@ 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
+- 2022-10-12: MMHuman3D [v0.10.0](https://github.com/open-mmlab/mmhuman3d/releases/tag/v0.10.0) is released. Major updates include:
+  - Add webcam demo and real-time renderer
+  - Update dataloader to speed up training
+  - Add [balanced MSE](https://github.com/jiawei-ren/BalancedMSE) loss for imbalanced HMR training
 - 2022-07-08: MMHuman3D [v0.9.0](https://github.com/open-mmlab/mmhuman3d/releases/tag/v0.9.0) is released. Major updates include:
   - Support SMPL-X estimation with [ExPose](https://expose.is.tue.mpg.de/) for simultaneous recovery of face, hands and body
   - Support new body model [STAR](https://star.is.tue.mpg.de/)
@@ -51,11 +55,6 @@ https://user-images.githubusercontent.com/62529255/144362861-e794b404-c48f-4ebe-
   - Support SmoothNet (added by paper authors)
   - Fix circular import and up to 2.5x speed up in module initialization
   - Add documentations in Chinese
-- 2022-04-30: MMHuman3D [v0.7.0](https://github.com/open-mmlab/mmhuman3d/releases/tag/v0.7.0) is released. Major updates include:
-  - Support PARE (better than the official implementation)
-  - Support DeciWatch (added by paper authors)
-  - Add GTA-Human HMR baseline (official release)
-  - Support saving inference results
 
 ## Benchmark and Model Zoo
 

README_CN.md

@@ -42,6 +42,10 @@ 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
+- 2022-10-12: MMHuman3D [v0.10.0](https://github.com/open-mmlab/mmhuman3d/releases/tag/v0.10.0) 已经发布. 主要更新包括:
+  - 支持调用本地摄像头实时渲染
+  - 更新数据载入脚本，进而实现训练加速
+  - 加入[balanced MSE](https://github.com/jiawei-ren/BalancedMSE) 损失函数，可进一步提升HMR训练精度
 - 2022-07-08: MMHuman3D [v0.9.0](https://github.com/open-mmlab/mmhuman3d/releases/tag/v0.9.0) 已经发布. 主要更新包括:
   - 支持 SMPL-X 估计方法 [ExPose](https://expose.is.tue.mpg.de/)，同时重建脸、手、身体
   - 支持新的人体参数化模型 [STAR](https://star.is.tue.mpg.de/)
@@ -51,11 +55,6 @@ https://user-images.githubusercontent.com/62529255/144362861-e794b404-c48f-4ebe-
   - 支持 SmoothNet（由论文作者添加）
   - 修复循环引用问题，获得最多2.5倍速度提升
   - 增加中文版文档
-- 2022-04-30: MMHuman3D [v0.7.0](https://github.com/open-mmlab/mmhuman3d/releases/tag/v0.7.0) 已经发布. 主要更新包括:
-  - 支持PARE算法 (优于官方实现）
-  - 支持DeciWatch（由论文作者添加）
-  - 添加GTA-Human的HMR基线（官方开源）
-  - 支持存储推理结果
 
 ## 基准与模型库
 

mmhuman3d/version.py

@@ -1,6 +1,7 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.9.0'
+# __version__ = '0.9.0'
+__version__ = '0.10.0'
 
 
 def parse_version_info(version_str):