The LaMAR Benchmark
for Localization and Mapping in Augmented Reality
This repository hosts the source code for our upcoming ECCV 2022 paper:
- LaMAR: Benchmarking Localization and Mapping for Augmented Reality
- Authors: Paul-Edouard Sarlin*, Mihai Dusmanu*, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, and Marc Pollefeys
This pre-release contains the code required to load the data and run the evaluation. More details on the ground-truthing tools, data, and leaderboad will follow later.
Usage
Requirements:
- Python >= 3.8
- pycolmap installed from source (recommended) or via
pip install pycolmap - hloc and its dependencies
- raybender
- pyceres
- everything listed in
requirements.txt, viapython -m pip install -r requirements.txt
Running the single-frame evaluation:
python -m lamar_benchmark.run \
--scene SCENE --ref_id map --query_id query_phone \
--retrieval netvlad --feature sift --matcher mnn
By default, the script assumes that the data was placed in ./data/ and will write the intermediate dumps and final outputs to ./outputs/.
BibTex citation
Please consider citing our work if you use any code from this repo or ideas presented in the paper:
@inproceedings{sarlin2022lamar,
author = {Paul-Edouard Sarlin and
Mihai Dusmanu and
Johannes L. Schönberger and
Pablo Speciale and
Lukas Gruber and
Viktor Larsson and
Ondrej Miksik and
Marc Pollefeys},
title = {{LaMAR: Benchmarking Localization and Mapping for Augmented Reality}},
booktitle = {ECCV},
year = {2022},
}
Legal Notices
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