Commit 5a7fc8ef authored by Guillaume Pasero's avatar Guillaume Pasero
Browse files

ENH: rework some parameters for simpler interface

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Showing with 98 additions and 52 deletions
+98 -52
......@@ -108,38 +108,51 @@ private:
SetParameterDescription("model", "A model file (produced by the "
"TrainDimensionalityReduction application,");
AddParameter(ParameterType_ListView, "feat", "Input features to use for reduction."); //
SetParameterDescription("feat","List of field names in the input vector "
"data used as features for reduction."); //
AddParameter(ParameterType_StringList, "featout", "Names of the new output features."); //
SetParameterDescription("featout","List of field names for the output "
"features which result from the reduction."); //
AddParameter(ParameterType_OutputFilename, "out", "Output vector data file "
"containing the reduced vector");
SetParameterDescription("out","Output vector data file storing sample "
"values (OGR format). If not given, the input vector data file is used. "
"In overwrite mode, the original features will be lost.");
MandatoryOff("out");
AddParameter(ParameterType_Int, "indim", "Dimension of the input vector");
SetParameterDescription("indim","Dimension of the whole input vector, this "
"value is required if only a part of the bands contained in the vector "
"are used. If not given, the dimension is deduced from the length of the "
"'feat' parameter");
MandatoryOff("indim");
AddParameter(ParameterType_Int, "pcadim", "Principal component"); //
AddParameter(ParameterType_ListView, "feat", "Input features to use for reduction."); //
SetParameterDescription("feat","List of field names in the input vector "
"data used as features for reduction."); //
AddParameter(ParameterType_Choice, "featout", "Output feature"); //
SetParameterDescription("featout", "Naming of output features");
AddChoice("featout.prefix", "Prefix");
SetParameterDescription("featout.prefix", "Use a name prefix");
AddParameter(ParameterType_String, "featout.prefix.name", "Feature name prefix");
SetParameterDescription("featout.prefix.name","Name prefix for output "
"features. This prefix is followed by the numeric index of each output feature.");
SetParameterString("featout.prefix.name","reduced_", false);
AddChoice("featout.list","List");
SetParameterDescription("featout.list", "Use a list with all names");
AddParameter(ParameterType_StringList, "featout.list.names", "Feature name list");
SetParameterDescription("featout.list.names","List of field names for the output "
"features which result from the reduction."); //
AddParameter(ParameterType_Int, "pcadim", "Principal component dimension"); //
SetParameterDescription("pcadim","This optional parameter can be set to "
"reduce the number of eignevectors used in the PCA model file."); //
"reduce the number of eignevectors used in the PCA model file. This "
"parameter can't be used for other models"); //
MandatoryOff("pcadim");
AddParameter(ParameterType_String, "mode", "Writting mode"); //
SetParameterString("mode","overwrite", false);
SetParameterDescription("mode","This parameter determines if the output "
AddParameter(ParameterType_Choice, "mode", "Writting mode"); //
SetParameterDescription("mode", "This parameter determines if the output "
"file is overwritten or updated [overwrite/update]. If an output file "
"name is given, the original file is copied before creating the new features."); //
"name is given, the original file is copied before creating the new features.");
AddChoice("mode.overwrite", "Overwrite");
SetParameterDescription("mode.overwrite","Overwrite mode"); //
AddChoice("mode.update", "Update");
SetParameterDescription("mode.update", "Update mode");
// Doc example parameter settings
SetDocExampleParameterValue("in", "vectorData.shp");
......@@ -147,7 +160,6 @@ private:
SetDocExampleParameterValue("model", "model.txt");
SetDocExampleParameterValue("out", "vectorDataOut.shp");
SetDocExampleParameterValue("feat", "perimeter area width");
SetDocExampleParameterValue("featout", "perimeter area width");
//SetOfficialDocLink();
}
......@@ -185,12 +197,23 @@ private:
shapefile, otb::ogr::DataSource::Modes::Read);
otb::ogr::Layer layer = source->GetLayer(0);
ListSampleType::Pointer input = ListSampleType::New();
int nbFeatures = GetSelectedItems("feat").size();
std::vector<int> inputIndexes = GetSelectedItems("feat");
int nbFeatures = inputIndexes.size();
input->SetMeasurementVectorSize(nbFeatures);
otb::ogr::Layer::const_iterator it = layer.cbegin();
otb::ogr::Layer::const_iterator itEnd = layer.cend();
// Get the list of non-selected field indexes
// /!\ The 'feat' is assumed to expose all available fields, hence the
// mapping between GetSelectedItems() and OGR field indexes
OGRFeatureDefn &inLayerDefn = layer.GetLayerDefn();
std::set<int> otherInputFields;
for (int i=0 ; i < inLayerDefn.GetFieldCount() ; i++)
otherInputFields.insert(i);
for (int k=0 ; k < nbFeatures ; k++)
otherInputFields.erase(inputIndexes[k]);
for( ; it!=itEnd ; ++it)
{
MeasurementType mv;
......@@ -198,7 +221,7 @@ private:
for(int idx=0; idx < nbFeatures; ++idx)
{
mv[idx] = static_cast<float>( (*it)[GetSelectedItems("feat")[idx]].GetValue<double>() );
mv[idx] = static_cast<float>( (*it)[inputIndexes[idx]].GetValue<double>() );
}
input->PushBack(mv);
}
......@@ -214,6 +237,8 @@ private:
statisticsReader->SetFileName(XMLfile);
meanMeasurementVector = statisticsReader->GetStatisticVectorByName("mean");
stddevMeasurementVector = statisticsReader->GetStatisticVectorByName("stddev");
otbAppLogINFO("Mean used: " << meanMeasurementVector);
otbAppLogINFO("Standard deviation used: " << stddevMeasurementVector);
}
else
{
......@@ -228,10 +253,8 @@ private:
trainingShiftScaleFilter->SetShifts(meanMeasurementVector);
trainingShiftScaleFilter->SetScales(stddevMeasurementVector);
trainingShiftScaleFilter->Update();
otbAppLogINFO("mean used: " << meanMeasurementVector);
otbAppLogINFO("standard deviation used: " << stddevMeasurementVector);
otbAppLogINFO("Loading model");
otbAppLogINFO("Loading model");
/** Read the model */
m_Model = DimensionalityReductionModelFactoryType::CreateDimensionalityReductionModel(
GetParameterString("model"),
......@@ -241,14 +264,17 @@ private:
otbAppLogFATAL(<< "Error when loading model " << GetParameterString("model")
<< " : unsupported model type");
}
m_Model->Load(GetParameterString("model"));
if (HasValue("pcadim") && IsParameterEnabled("pcadim"))
{
int dimension = GetParameterInt("pcadim");
m_Model->SetDimension(dimension );
std::string modelName(m_Model->GetNameOfClass());
if (modelName != "PCAModel")
{
otbAppLogFATAL(<< "Can't set 'pcadim' on a model : "<< modelName);
}
m_Model->SetDimension( GetParameterInt("pcadim") );
}
m_Model->Load(GetParameterString("model"));
otbAppLogINFO("Model loaded");
otbAppLogINFO("Model loaded, dimension : "<< m_Model->GetDimension());
/** Perform Dimensionality Reduction */
ListSampleType::Pointer listSample = trainingShiftScaleFilter->GetOutput();
......@@ -259,12 +285,6 @@ private:
ogr::DataSource::Pointer buffer = ogr::DataSource::New();
bool updateMode = false;
int nbBands = nbFeatures;
if (HasValue("indim") && IsParameterEnabled("indim"))
{
nbBands = GetParameterInt("indim");
}
if (IsParameterEnabled("out") && HasValue("out"))
{
// Create new OGRDataSource
......@@ -275,9 +295,8 @@ private:
GetParameterString("out"),
const_cast<OGRSpatialReference*>(layer.GetSpatialRef()),
layer.GetGeomType());
// Copy existing fields
OGRFeatureDefn &inLayerDefn = layer.GetLayerDefn();
for (int k=0 ; k<inLayerDefn.GetFieldCount()-nbBands ; k++) // we don't copy the original bands
// Copy existing fields except the ones selected for reduction
for (const int& k : otherInputFields)
{
OGRFieldDefn fieldDefn(inLayerDefn.GetFieldDefn(k));
newLayer.CreateField(fieldDefn);
......@@ -315,24 +334,53 @@ private:
if (errStart != OGRERR_NONE)
{
itkExceptionMacro(<< "Unable to start transaction for OGR layer " << outLayer.ogr().GetName() << ".");
otbAppLogFATAL(<< "Unable to start transaction for OGR layer " << outLayer.ogr().GetName() << ".");
}
// Build the list of output fields
std::vector<std::string> outFields;
if(GetParameterString("featout") == "prefix")
{
std::string prefix = GetParameterString("featout.prefix.name");
std::ostringstream oss;
for (unsigned int i=0 ; i < m_Model->GetDimension() ; i++)
{
oss.str(prefix);
oss.seekp(0,std::ios_base::end);
oss << i;
outFields.push_back(oss.str());
}
}
else if(GetParameterString("featout") == "list")
{
outFields = GetParameterStringList("featout.list.names");
if (outFields.size() != m_Model->GetDimension())
{
otbAppLogFATAL( << "Wrong number of output field names, expected "
<< m_Model->GetDimension() << " , got "<< outFields.size());
}
}
else
{
otbAppLogFATAL( << "Unsupported output feature mode : "
<< GetParameterString("featout"));
}
// Add the field of prediction in the output layer if field not exist
for (unsigned int i=0; i<GetParameterStringList("featout").size() ;i++)
for (unsigned int i=0; i<outFields.size() ;i++)
{
OGRFeatureDefn &layerDefn = outLayer.GetLayerDefn();
int idx = layerDefn.GetFieldIndex(GetParameterStringList("featout")[i].c_str());
int idx = layerDefn.GetFieldIndex(outFields[i].c_str());
if (idx >= 0)
{
if (layerDefn.GetFieldDefn(idx)->GetType() != OFTReal)
itkExceptionMacro("Field name "<< GetParameterStringList("featout")[i]
otbAppLogFATAL("Field name "<< outFields[i]
<< " already exists with a different type!");
}
else
{
OGRFieldDefn predictedField(GetParameterStringList("featout")[i].c_str(), OFTReal);
OGRFieldDefn predictedField(outFields[i].c_str(), OFTReal);
ogr::FieldDefn predictedFieldDef(predictedField);
outLayer.CreateField(predictedFieldDef);
}
......@@ -340,10 +388,8 @@ private:
// Fill output layer
unsigned int count=0;
auto classfieldname = GetParameterStringList("featout");
it = layer.cbegin();
itEnd = layer.cend();
for( ; it!=itEnd ; ++it, ++count)
{
ogr::Feature dstFeature(outLayer.GetLayerDefn());
......@@ -351,9 +397,9 @@ private:
dstFeature.SetFrom( *it , TRUE);
dstFeature.SetFID(it->GetFID());
for (std::size_t i=0; i<classfieldname.size(); ++i)
for (std::size_t i=0; i<outFields.size(); ++i)
{
dstFeature[classfieldname[i]].SetValue<double>(target->GetMeasurementVector(count)[i]);
dstFeature[outFields[i]].SetValue<double>(target->GetMeasurementVector(count)[i]);
}
if (updateMode)
{
......@@ -370,7 +416,7 @@ private:
const OGRErr errCommitX = outLayer.ogr().CommitTransaction();
if (errCommitX != OGRERR_NONE)
{
itkExceptionMacro(<< "Unable to commit transaction for OGR layer " <<
otbAppLogFATAL(<< "Unable to commit transaction for OGR layer " <<
outLayer.ogr().GetName() << ".");
}
}
......
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