Metadata-Version: 2.1
Name: cars
Version: 1.0.0
Summary: A satellite multi view stereo pipeline
Keywords: cars,3D,DEM,pandora,photogrammetry
Author-Email: CNES <cars@cnes.fr>
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: Environment :: Console
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.10
Project-URL: Documentation, https://cars.readthedocs.io/en/latest/
Project-URL: Repository, https://github.com/CNES/cars
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Description-Content-Type: text/markdown

CARS, a satellite multi view stereo framework 

[![Python](https://img.shields.io/badge/python-v3.10+-blue.svg)](https://www.python.org/downloads/release/python-3100/)
[![Contributions welcome](https://img.shields.io/badge/contributions-welcome-orange.svg)](CONTRIBUTING.md)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0/)
[![Documentation](https://readthedocs.org/projects/cars/badge/?version=latest)](https://cars.readthedocs.io/?badge=latest)
[![Github Action](https://github.com/CNES/cars/actions/workflows/cars-ci.yml/badge.svg?branch=master)](https://github.com/CNES/cars/actions)
[![pypi](https://badge.fury.io/py/cars.svg)](https://pypi.org/project/cars/)
[![Docker pulls](https://img.shields.io/badge/dynamic/json?formatter=metric&color=blue&label=Docker%20pull&query=%24.pull_count&url=https://hub.docker.com/v2/repositories/cnes/cars)](https://hub.docker.com/r/cnes/cars)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17406459.svg)](https://doi.org/10.5281/zenodo.17406459)

  Overview •
  Quick Start •
  Documentation •
  License •
  Contribution •
  Help •
  Credits •
  Contact •
  References

# 🌐 **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:

      
  
      

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](https://www.etalab.gouv.fr/licence-ouverte-open-licence) Pleiades [data sample](https://raw.githubusercontent.com/CNES/cars/master/tutorials/data_gizeh.tar.bz2) to give CARS a try!

### 🐋 with Docker
---

#### 🛠 Installation

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

``` bash 
pip install cars 
```

#### ⚙ Run CARS

Once you moved to the data_gizeh directory:

``` bash 
cars configfile.yaml
```

# 📚 **Documentation**

Go to [CARS Main Documentation](https://cars.readthedocs.io/?badge=latest).

# 📜 **License**

CARS is licensed under [Apache License v2.0](https://www.apache.org/licenses/LICENSE-2.0). Please refer to the [LICENSE](https://gitlab.cnes.fr/dali/cars-park/cars/-/blob/1214-mise-a-jour-du-readme-pour-la-nouvelle-version-1-0-0/LICENSE) file for more details.

# 🤝 **Contribution**

To do a contribution, see the [Contribution Guide](https://github.com/CNES/cars/blob/master/CONTRIBUTING.md).  For project evolution, see [Changelog](https://github.com/CNES/cars/blob/master/CHANGELOG.md).

# 🆘 **Help**

For issues, questions, or feature requests, please open an issue on our [GitHub Issues](https://github.com/CNES/cars/issues) page or check the [documentation](https://cars.readthedocs.io/en/stable/index.html) for additional resources.

You can also ask your questions on the corresponding [slack](https://join.slack.com/t/cars-community/shared_invite/zt-2uw6usog1-~TT~m8BxO9faMXpP7tpz2Q).

# ✒️ **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](https://github.com/CNES/cars/blob/master/AUTHORS.md)

# ✉️ **Contact**

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

# 🔗 **References**

- [Youssefi D., Michel, J., Sarrazin, E., Buffe, F., Cournet, M., Delvit, J., L’Helguen, C., Melet, O., Emilien, A., Bosman, J., 2020. Cars: A photogrammetry pipeline using dask graphs to construct a global 3d model. IGARSS - IEEE International Geoscience and Remote Sensing Symposium.](https://ieeexplore.ieee.org/document/9324020)
- [Michel, J., Sarrazin, E., Youssefi, D., Cournet, M., Buffe, F., Delvit, J., Emilien, A., Bosman, J., Melet, O., L’Helguen, C., 2020. A new satellite imagery stereo pipeline designed for scalability, robustness and performance. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.](https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/171/2020/)
