RapidPoseTriangulation/README.md

RapidPoseTriangulation

Fast triangulation of multiple persons from multiple camera views.
A general overview can be found in the paper RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond.

     

Build

• Clone this project:

  git clone https://gitlab.com/Percipiote/RapidPoseTriangulation.git
  cd RapidPoseTriangulation/
  

• Enable GPU-access for docker building:

  • Install nvidia container tools: Link

  • Run sudo nano /etc/docker/daemon.json and add:

    {
      "runtimes": {
        "nvidia": {
          "args": [],
          "path": "nvidia-container-runtime"
        }
      },
      "default-runtime": "nvidia"
    }
    

  • Restart docker: sudo systemctl restart docker

• Build docker container:

  docker build --progress=plain -t rapidposetriangulation .
  ./run_container.sh
  

• Build triangulator:

  cd /RapidPoseTriangulation/
  uv sync --group dev
  uv run pytest tests/test_interface.py
  uv build
  

Extras

• For usage in combination with ROS2 see ros directory.

Citation

Please cite RapidPoseTriangulation if you found it helpful for your research or business.

@article{
  rapidtriang,
  title={{RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond}},
  author={Bermuth, Daniel and Poeppel, Alexander and Reif, Wolfgang},
  journal={arXiv preprint arXiv:2503.21692},
  year={2025}
}