A toolbox for skeleton-based action recognition. Contribute to kennymckormick/pyskl development by creating an account on GitHub.
git clone https://github.com/Tianrui-Li/pyskl.git cd pyskl # This command runs well with conda 22.9.0, if you are running an early conda version and got some errors, try to update your conda first conda env create -f pyskl.yaml conda activate pyskl pip install -e . # 安装位置编...
.github configs aagcn aagcn_pyskl_ntu120_xset_3dkp aagcn_pyskl_ntu120_xset_hrnet aagcn_pyskl_ntu120_xsub_3dkp aagcn_pyskl_ntu120_xsub_hrnet aagcn_pyskl_ntu60_xsub_3dkp aagcn_pyskl_ntu60_xsub_hrnet aagcn_pyskl_ntu60_xview_3dkp aagcn_pyskl_ntu60_xview_hrnet README.md ct...
GitHub Copilot Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address...
A toolbox for skeleton-based action recognition. Contribute to kennymckormick/pyskl development by creating an account on GitHub.
A toolbox for skeleton-based action recognition. Contribute to kennymckormick/pyskl development by creating an account on GitHub.
.github configs aagcn ctrgcn dgstgcn msg3d posec3d rgbpose_conv3d README.md compress_nturgbd.py merge_pretrain.ipynb pose_only.py rgb_only.py rgbpose_conv3d.py stgcn++ stgcn strong_aug demo examples pyskl tools .gitignore .pre-commit-config.yaml LICENSE README.md pyskl.yaml requirem...
代码地址:https://github.com/kennymckormick/pyskl 这里,我没有写自己对该文章的理解,后面我有时间会继续补充,我就先记录一下使用该算法如何训练自己的数据集。 一、环境配置 要配置该算法的环境,最好先配置好MMDetection的环境,根据官网给的安装教程,还是比较简单的。这里要注意安装mmcv、mmcv-full、mmdet和mmpos...
【PYSKL:基于骨架动作识别工具箱】'PYSKL - A toolbox for skeleton-based action recognition.' by Haodong Duan GitHub: github.com/kennymckormick/pyskl #开源##机器学习# 动图 û收藏 56 8 ñ41 评论 o p 同时转发到我的微博 按热度 按时间 正在加载,请稍候......
GitHub Copilot Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address...