kennymckormick/pyskl
A PyTorch toolbox for skeleton-based human action recognition using 3D skeleton sequences.
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PYSKL is a research toolbox for skeleton-based action recognition built on PyTorch and MMAction2. It provides implementations of models like PoseConv3D and STGCN++ that analyze 3D human skeletal pose sequences to classify actions and gestures. The project supports standard benchmarks like NTU-RGB+D and Kinetics, and can run skeleton-based recognition in real time on CPU.
Frequently asked
- What is kennymckormick/pyskl?
- A PyTorch toolbox for skeleton-based human action recognition using 3D skeleton sequences.
- Is pyskl open source?
- Yes — kennymckormick/pyskl is open source, released under the Apache-2.0 license.
- What language is pyskl written in?
- kennymckormick/pyskl is primarily written in Python.
- How popular is pyskl?
- kennymckormick/pyskl has 1.3k stars on GitHub.
- Where can I find pyskl?
- kennymckormick/pyskl is on GitHub at https://github.com/kennymckormick/pyskl.