From 0f16ce15b5a294b54b44af530a8a763b3c340966 Mon Sep 17 00:00:00 2001 From: Daniel Date: Fri, 28 Mar 2025 12:00:39 +0100 Subject: [PATCH] Updated readme. --- README.md | 23 ++++++++++++++++++++++- 1 file changed, 22 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 9acccc8..f3e9c40 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,7 @@ # RapidPoseTriangulation -Fast triangulation of multiple persons from multiple camera views. +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](https://arxiv.org/pdf/2503.21692).
2D detections @@ -47,6 +48,10 @@ Fast triangulation of multiple persons from multiple camera views. ./run_container.sh ``` +- Download _ONNX_ models from [model registry](https://gitlab.com/Percipiote/RapidPoseTriangulation/-/ml/models) and save them to `mmdeploy/extras/exports/`. + Upon the first usage, they will be converted to _TensorRT_ models, which will take a few minutes. \ + (Note that this conversion is not deterministic and will each time result in slightly different models and therefore also slightly different benchmark results.) + - Build triangulator: ```bash @@ -96,3 +101,19 @@ Fast triangulation of multiple persons from multiple camera views. - For usage in combination with ROS2 see [ros](extras/ros/README.md) directory. - Running on a Nvidia Jetson is also possible with [jetson](extras/jetson/README.md) directory. + +
+ +## Citation + +Please cite [RapidPoseTriangulation](https://arxiv.org/pdf/2503.21692) if you found it helpful for your research or business. + +```bibtex +@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} +} +```