Commit 22981466 authored by Cresson Remi's avatar Cresson Remi

DOC: add some documentation in filters headers

parent 435d9683
......@@ -50,14 +50,14 @@ namespace otb
* Target nodes names of the TensorFlow graph that must be triggered can be set
* with the SetTargetNodesNames.
*
* The OutputTensorNames consists in a strd::vector of std::string, and
* The OutputTensorNames consists in a std::vector of std::string, and
* corresponds to the names of tensors that will be computed during the session.
* As for input placeholders, output tensors field of expression
* (OutputExpressionFields, a std::vector of SizeType), i.e. the output
* space that the TensorFlow model will "generate", must be provided.
*
* Finally, a list of scalar placeholders can be fed in the form of std::vector
* of std::string, each one expressing the assigment of a signle valued
* of std::string, each one expressing the assignment of a single valued
* placeholder, e.g. "drop_rate=0.5 learning_rate=0.002 toto=true".
* See otb::tf::ExpressionToTensor() to know more about syntax.
*
......
......@@ -23,7 +23,15 @@ namespace otb
/**
* \class TensorflowMultisourceModelLearningBase
* \brief This filter is the base class for all learning filters.
* \brief This filter is the base class for all filters that input patches images.
*
* One input patches image consist in an image of size (pszx, pszy*n, nbands) where:
* -pszx : is the width of one patch
* -pszy : is the height of one patch
* -n : is the number of patches in the patches image
* -nbands : is the number of channels in the patches image
*
* This filter verify that every patches images are consistent.
*
* The batch size can be set using the SetBatchSize() method.
* The streaming can be activated to allow the processing of huge datasets.
......
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