Metadata-Version: 2.1
Name: kapture-localization
Version: 1.1.9
Summary: kapture-localization: localization pipelines based on kapture.
Home-page: https://github.com/naver/kapture-localization/
Author: naverlabs
Author-email: kapture@naverlabs.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: NOTICE
Requires-Dist: kapture <1.2.0,>=1.1.8
Requires-Dist: numpy >=1.16
Requires-Dist: numpy-quaternion
Requires-Dist: numba
Requires-Dist: cvxpy >=1.1.6
Requires-Dist: torch >=1.4.0
Requires-Dist: tabulate >=0.8.7
Requires-Dist: opencv-python
Requires-Dist: build >=1.0.3
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'

= kapture-localization: toolbox
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toc::[]

== Overview

kapture-localization is a **toolbox** in which you will find implementations for various localization related algorithms.
It strongly relies on the https://github.com/naver/kapture[kapture] format for data representation and manipulation.

The localization algorithms include:

 . **mapping**,
 . **localization**, and
 . **benchmarking** (image retrieval for visual localization).

It works on Ubuntu, Windows, and MacOS.

== Structure

The directories are organised as follow:

----
├── kapture_localization/  # package (library)
├── pipeline/              # main programs executing all steps of the localization pipelines
├── samples/               # some sample data
├── tests/                 # unit tests
└── tools/                 # sub programs involved in the pipeline
----


The __kapture-localization__ toolbox is available as:

 - Python *package* (`kapture_localization/`),
 - Python *executable scripts* (`pipeline/` & `tools/`).

There are 3 pipelines available:

 . mapping,
 . localization, and
 . image retrieval benchmark (global sfm, local sfm, pose approximation).


== Installation

It can be installed using docker, pip or from manually from source code.
After installing python (>=3.6) and COLMAP (>=3.6), this toolbox can be installed with:

[source,bash]
----
pip install kapture-localization
----

See link:doc/installation.adoc[] for more details.

== Tutorial

See link:doc/tutorial.adoc[doc/tutorial] for a short introduction and examples of the provided processing pipelines.

== Contributing

There are many ways to contribute to the __kapture-localization__ project:

* provide feedback and suggestion,
* submit bug reports in the project bug tracker,
* implement a feature or bug-fix for an outstanding issue,
* provide scripts to create data in kapture format (e.g. local/global feature extraction),
* propose a new feature and implement it.

// TODO individual page for kapture-localization ?
If you wish to contribute, please refer to the
link:https://github.com/naver/kapture/blob/main/CONTRIBUTING.adoc[CONTRIBUTING] page.

== License
Software license is detailed in the link:LICENSE[LICENSE] file.

== References
If you use this work for your research, please cite the respective paper(s):

.Structure-based localization or kapture format
----
@misc{kapture2020,
      title={Robust Image Retrieval-based Visual Localization using Kapture},
      author={Martin Humenberger and Yohann Cabon and Nicolas Guerin and Julien Morat and Jérôme Revaud and Philippe Rerole and Noé Pion and Cesar de Souza and Vincent Leroy and Gabriela Csurka},
      year={2020},
      eprint={2007.13867},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
----

.Image retrieval benchmark
----
@inproceedings{benchmarking_ir3DV2020,
      title={Benchmarking Image Retrieval for Visual Localization},
      author={Noé Pion, Martin Humenberger, Gabriela Csurka, Yohann Cabon, Torsten Sattler},
      year={2020},
      booktitle={International Conference on 3D Vision}
}

@article{humenberger2022investigating,
  title={Investigating the Role of Image Retrieval for Visual Localization},
  author={Humenberger, Martin and Cabon, Yohann and Pion, No{\'e} and Weinzaepfel, Philippe and Lee, Donghwan and Gu{\'e}rin, Nicolas and Sattler, Torsten and Csurka, Gabriela},
  journal={International Journal of Computer Vision},
  year={2022},
  publisher={Springer}
}
----
