diff --git a/README.md b/README.md index e2d95fd57240014b321c12810e842a4d482988fd..2ce6452f57996552da5abf006d809e7a73d98a19 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,6 @@ -#  OTBTF: Orfeo ToolBox meets TensorFlow + + +# OTBTF: Orfeo ToolBox meets TensorFlow [](https://opensource.org/licenses/Apache-2.0) @@ -14,7 +16,7 @@ Applications can be used to build OTB pipelines from Python or C++ APIs. - 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.