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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-1.0.1-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-1.0.1-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

  • Download URL: cars-1.0.1-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/3.13.7

File hashes

Hashes for cars-1.0.1-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
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BLAKE2b-256 e77dbd298f3867ea26b87b2dc4b55ac360bc8b048922411f81aedccd691154c4

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Provenance

The following attestation bundles were made for cars-1.0.1-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-1.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for cars-1.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ed2df071a5e27ae1330fbab2ac552e1b9382fb42538c51dd937e068a8968b980
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BLAKE2b-256 a86b3d6d6fd762c3957d06a7bc40230a0580830478933b5635b03087a75659f9

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Provenance

The following attestation bundles were made for cars-1.0.1-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-1.0.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for cars-1.0.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c5c66f1a5a57f2e68a9cb5f228ebf55e549b4d1f30a0490a69d209c5fc9f8366
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BLAKE2b-256 698d97b613cc308be5f8519c4cf8867e9da6faa8f8eafe989b993b3f37648fbb

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Provenance

The following attestation bundles were made for cars-1.0.1-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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