OTBTF: Orfeo ToolBox meets TensorFlow

OTBTF is a remote module of the Orfeo ToolBox. It provides a generic, multi-purpose deep learning framework, targeting remote sensing images processing. It contains a set of process objects for OTB that internally invoke Tensorflow, 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 readthedocs as well as a comprehensive tutorial.

Use

You can use our latest GPU enabled docker images.

docker run --gpus=all -ti mdl4eo/otbtf:latest-gpu otbcli_PatchesExtraction
docker run --gpus=all -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}
}