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A satellite multi view stereo pipeline

Project description

CARS

CARS, a satellite multi view stereo framework

Python Contributions welcome License Documentation Github Action pypi Docker pulls DOI

OverviewQuick StartDocumentationLicenseContributionHelpCreditsContactReferences

🌐 Overview

🎞️ From Stereo Images

Stereo images animation
Input stereo image pairs
🌍 To Digital Surface Model (DSM)

DSM overview
Output 3D surface reconstruction

CARS is an open source 3D tool dedicated to produce Digital Surface Models from satellite imaging by photogrammetry. This Multiview Stereo framework is intended for massive DSM production with a robust, performant and modular design.

CARS is currently under active development and integrated into various projects & missions:

CO3D project      AI4GEO project      Evoland project


Its roadmap and implemented functionalities are evolving regularly depending on specific project requirements.

🚀 Quick start

△ On the way to the Pyramids...


You want to build the pyramids by yourself?

Dsm
Color
Color

Download our open licence Pleiades data sample to give CARS a try!

🐋 with Docker


🛠 Installation

CARS is available on Docker Hub and can be downloaded by:

docker pull cnes/cars

⚙ Run CARS

You only need to launch one command:

docker run -w /data -v "$(pwd)"/data_gizeh:/data cnes/cars /data/configfile.yaml

🐍 with pip


🛠 Installation

CARS can also be downloaded using the pip install command:

pip install cars 

⚙ Run CARS

Once you moved to the data_gizeh directory:

cars configfile.yaml

📚 Documentation

Go to CARS Main Documentation.

📜 License

CARS is licensed under Apache License v2.0. Please refer to the LICENSE file for more details.

🤝 Contribution

To do a contribution, see the Contribution Guide. For project evolution, see Changelog.

🆘 Help

For issues, questions, or feature requests, please open an issue on our GitHub Issues page or check the documentation for additional resources.

You can also ask your questions on the corresponding slack.

✒️ Credits

If you use CARS in your research, please cite the following paper:

@INPROCEEDINGS{9324020,
  author={Youssefi, David and Michel, Julien and Sarrazin, Emmanuelle and Buffe, Fabrice and Cournet, Myriam and Delvit, Jean-Marc and L'Helguen, Céline and Melet, Olivier and Emilien, Aurélie and Bosman, Julien},
  booktitle={IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium}, 
  title={CARS: A Photogrammetry Pipeline Using Dask Graphs to Construct A Global 3D Model}, 
  year={2020},
  volume={},
  number={},
  pages={453-456},
  keywords={Automobiles;Geometry;Three-dimensional displays;Computational modeling;Estimation;Stereo image processing;Task analysis;Image processing;Photogrammetry;Stereovision;Digital Surface Model;High Performance Computing;Cloud Computing;Dask},
  doi={10.1109/IGARSS39084.2020.9324020}}

See Authors file

✉️ Contact

You can contact us on the following mail adress: cars@cnes.fr

🔗 References

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Provenance

The following attestation bundles were made for cars-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl:

Publisher: cars-ci.yml on CNES/cars

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file cars-1.1.0-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

  • Download URL: cars-1.1.0-cp310-cp310-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 5.8 MB
  • Tags: CPython 3.10, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for cars-1.1.0-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
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Provenance

The following attestation bundles were made for cars-1.1.0-cp310-cp310-musllinux_1_2_i686.whl:

Publisher: cars-ci.yml on CNES/cars

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file cars-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for cars-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 25f648c08259bf887a66072d4261e348d6a512f19b0d63d713dde68e35cf6f47
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Provenance

The following attestation bundles were made for cars-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: cars-ci.yml on CNES/cars

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file cars-1.1.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for cars-1.1.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 842463910310d0e1c4f55ee743ee1d202d55e5dd68076060a549ecf686d08b34
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BLAKE2b-256 9248d004994d4f3129c3398bdc94e171594040ea2d300222431a48e9557c1407

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Provenance

The following attestation bundles were made for cars-1.1.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl:

Publisher: cars-ci.yml on CNES/cars

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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