examples/python/mast3r_slam/README.md
https://vimeo.com/1064055355?autoplay=1&loop=1&autopause=0&background=1&muted=1&ratio=2802:1790
Mast3r-slam is a realtime monocular slam system that is based on Mast3r, a two view 3D reconstruction and matching prior. Equipped with this strong prior, the system is robust on in-the-wild video sequences despite making no assumption on a fixed or parametric camera model beyond a unique camera center. It introduces efficient methods for pointmap matching, camera tracking and local fusion, graph construction and loop closure, and second-order global optimisation. With known calibration, a simple modification to the system achieves state-of-the-art performance across various benchmarks.
This is an external example. Check the repository for more information on how to run the code.
TLDR: make sure you have the Pixi package manager installed and run
git clone https://github.com/rerun-io/mast3r-slam.git
cd mast3r-slam
pixi run example-base