Commit a453efca authored by Cresson Remi's avatar Cresson Remi

DOC: clarify parameters role

parent 108aab60
......@@ -127,7 +127,7 @@ private:
// Nothing to do
}
};
}
}
} // namespace Wrapper
} // namespace otb
OTB_APPLICATION_EXPORT( otb::Wrapper::ImageClassifierFromDeepFeatures )
......@@ -289,7 +289,7 @@ public:
otbAppLogINFO("Output field of expression: " << m_TFFilter->GetOutputExpressionFields()[0]);
// Streaming
if (GetParameterInt("optim.disabletiling")!=1)
if (GetParameterInt("optim.disabletiling") != 1)
{
// Get the tile size
const unsigned int tileSize = GetParameterInt("optim.tilesize");
......
......@@ -79,8 +79,8 @@ private:
ClearApplications();
// Add applications
AddApplication("TrainImagesClassifier", "train" , "Train images classifier" );
AddApplication("TensorflowModelServe" , "tfmodel", "Serve the TF model" );
AddApplication("TrainImagesClassifier", "train", "Train images classifier");
AddApplication("TensorflowModelServe", "tfmodel", "Serve the TF model");
// Model shared parameters
AddAnInputImage();
......@@ -88,21 +88,21 @@ private:
{
AddAnInputImage(i);
}
ShareParameter("model", "tfmodel.model", "Deep net model parameters", "Deep net model parameters");
ShareParameter("output", "tfmodel.output", "Deep net outputs parameters", "Deep net outputs parameters");
ShareParameter("optim", "tfmodel.optim", "This group of parameters allows optimization of processing time", "This group of parameters allows optimization of processing time");
ShareParameter("model", "tfmodel.model", "Deep net inputs parameters", "Parameters of the deep net inputs: placeholder names, receptive fields, etc.");
ShareParameter("output", "tfmodel.output", "Deep net outputs parameters", "Parameters of the deep net outputs: tensors names, expression fields, etc.");
ShareParameter("optim", "tfmodel.optim", "Processing time optimization", "This group of parameters allows optimization of processing time");
// Train shared parameters
ShareParameter("vd" , "train.io.vd" , "Input vector data list" , "Input vector data list" );
ShareParameter("valid" , "train.io.valid" , "Validation vector data list" , "Validation vector data list" );
ShareParameter("out" , "train.io.out" , "Output model" , "Output model" );
ShareParameter("confmatout" , "train.io.confmatout" , "Output model confusion matrix" , "Output model confusion matrix" );
ShareParameter("vd", "train.io.vd", "Vector data for training", "Input vector data for training");
ShareParameter("valid", "train.io.valid", "Vector data for validation", "Input vector data for validation");
ShareParameter("out", "train.io.out", "Output classification model", "Output classification model");
ShareParameter("confmatout", "train.io.confmatout", "Output confusion matrix", "Output confusion matrix of the classification model");
// Shared parameter groups
ShareParameter("sample" , "train.sample" , "Training and validation samples parameters" , "Training and validation samples parameters" );
ShareParameter("elev" , "train.elev" , "Elevation management" , "Elevation management" );
ShareParameter("classifier" , "train.classifier" , "Classifier" , "Classifier" );
ShareParameter("rand" , "train.rand" , "User defined rand seed" , "User defined rand seed" );
ShareParameter("sample", "train.sample", "Sampling parameters" , "Training and validation samples parameters" );
ShareParameter("elev", "train.elev", "Elevation parameters", "Elevation parameters" );
ShareParameter("classifier", "train.classifier", "Classifier parameters", "Classifier parameters" );
ShareParameter("rand", "train.rand", "User defined random seed", "User defined random seed" );
}
......@@ -126,7 +126,7 @@ private:
}
};
}
}
} // namespace Wrapper
} // namespace otb
OTB_APPLICATION_EXPORT( otb::Wrapper::TrainClassifierFromDeepFeatures )
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