Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add Mast3r_slam Example #9242

Merged
merged 3 commits into from
Mar 11, 2025
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions examples/manifest.toml
Original file line number Diff line number Diff line change
Expand Up @@ -101,6 +101,7 @@ examples = [
"open_photogrammetry_format",
"kiss-icp",
"differentiable_blocks_world",
"mast3r_slam",
"stereo_vision_slam",
"glomap",
"hloc_glomap",
Expand Down
24 changes: 24 additions & 0 deletions examples/python/mast3r_slam/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,24 @@
<!--[metadata]
title = "Mast3r slam - real-time dense slam with 3D reconstruction priors"
tags = ["2D", "3D", "Pinhole camera", "Time series", "SLAM"]
source = "https://github.com/rerun-io/mast3r-slam"
thumbnail = "https://static.rerun.io/square-thumbnail/56b091d93d23c4353f6a919bf789493da19893e6/480w.png"
thumbnail_dimensions = [480, 474]
-->

https://vimeo.com/1064055355?autoplay=1&loop=1&autopause=0&background=1&muted=1&ratio=2802:1790

## Background

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.

## Run the code

This is an external example. Check the [repository](https://github.com/rerun-io/mast3r-slam) for more information on how to run the code.

TLDR: make sure you have the [Pixi package manager](https://pixi.sh/latest/#installation) installed and run
```
git clone https://github.com/rerun-io/mast3r-slam.git
cd mast3r-slam
pixi run example-base
```
Loading