https://github.com/remicres/otbtf

Deep learning with otb (mirror of https://forgemia.inra.fr/remi.cresson/otbtf)
https://github.com/remicres/otbtf

deep-learning orfeotoolbox otb remote-sensing tensorflow

Last synced: about 2 months ago
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Deep learning with otb (mirror of https://forgemia.inra.fr/remi.cresson/otbtf)

• Host: GitHub
• URL: https://github.com/remicres/otbtf
• Owner: remicres
• License: apache-2.0
• Created: 2018-06-04T13:09:09.000Z (about 6 years ago)
• Default Branch: develop
• Last Pushed: 2024-04-24T11:44:31.000Z (2 months ago)
• Last Synced: 2024-04-24T17:42:33.714Z (2 months ago)
• Topics: deep-learning, orfeotoolbox, otb, remote-sensing, tensorflow
• Language: C++
• Homepage:
• Size: 91.9 MB
• Stars: 159
• Watchers: 13
• Forks: 38
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• Awesome-Geospatial - otbtf - Deep learning with otb. (C++)

README

        
# OTBTF: Orfeo ToolBox meets TensorFlow
































OTBTF is a remote module of the [Orfeo ToolBox](https://www.orfeo-toolbox.org). 

It provides a generic, multi-purpose deep learning framework, targeting remote 

sensing images processing. It contains a set of new process objects for OTB 

that internally invoke [Tensorflow](https://www.tensorflow.org/), and new OTB 

applications to perform deep learning with real-world remote sensing images. 

Applications can be used to build OTB pipelines from Python or C++ APIs. OTBTF 

also includes a python API to build quickly Keras compliant models suited for 

remote sensing imagery, easy to train in distributed environments. 

## Documentation

The documentation is available on [otbtf.readthedocs.io](https://otbtf.readthedocs.io).

## Use

You can use our latest GPU enabled docker images.

```bash

docker run --runtime=nvidia -ti mdl4eo/otbtf:latest-gpu otbcli_PatchesExtraction

docker run --runtime=nvidia -ti mdl4eo/otbtf:latest-gpu python -c "import otbtf"

```

You can also build OTBTF from sources (see the documentation)

## Cite

```

@article{cresson2018framework,

  title={A framework for remote sensing images processing using deep learning techniques},

  author={Cresson, R{\'e}mi},

  journal={IEEE Geoscience and Remote Sensing Letters},

  volume={16},

  number={1},

  pages={25--29},

  year={2018},

  publisher={IEEE}

}

```