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# ![OTBTF](doc/images/logo.png) OTBTF: Orfeo ToolBox meets TensorFlow
![OTBTF](doc/images/logo.png)
# OTBTF: Orfeo ToolBox meets TensorFlow
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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- Model training, supporting save/restore/import operations (a model can be trained from scratch or fine-tuned) with `TensorflowModelTrain`,
- Inference with support of OTB streaming mechanism with `TensorflowModelServe`. The streaming mechanism means (1) no limitation with images sizes, (2) inference can be used as a "lego" in any OTB pipeline (using C++ or Python APIs) and preserving streaming, (3) MPI support available (use multiple processing unit to generate one single output image)
### Python API
### Python
This is a work in progress. For now, `tricks.py` provides a set of helpers to build deep nets, and `otbtf.py` provides datasets which can be used in Tensorflow pipelines to train networks from python.
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