This project compares various artefacts through point cloud registration and clustering, for more information see: (paper link coming here)
The requirements for the project can be found in pyproject.toml, and is known to work with poetry.
The examples folder contains various scripts. The paper pipeline essentially consist on running script 0-2 in sequential order.
Note that in order to utilize these scripts you will need a set of 3D files, either mesh files (.stl) or point cloud files (.pc). In the data folder there is a python script for downloading the 3D files for the artefacts used in the article.