diff --git a/Modules/Applications/AppClassification/app/otbDSFuzzyModelEstimation.cxx b/Modules/Applications/AppClassification/app/otbDSFuzzyModelEstimation.cxx
index e6343bf4b9654a41b82317f7c8d6412b87e2e940..ed07d2baf5a715eedb90db3286927fe5b1e2cac4 100644
--- a/Modules/Applications/AppClassification/app/otbDSFuzzyModelEstimation.cxx
+++ b/Modules/Applications/AppClassification/app/otbDSFuzzyModelEstimation.cxx
@@ -143,12 +143,12 @@ private:
AddParameter(ParameterType_String, "cri", "Criterion");
SetParameterDescription("cri", "Dempster Shafer criterion (by default (belief+plausibility)/2)");
MandatoryOff("cri");
- SetParameterString("cri","((Belief + Plausibility)/2.)", false);
+ SetParameterString("cri","((Belief + Plausibility)/2.)");
AddParameter(ParameterType_Float,"wgt","Weighting");
SetParameterDescription("wgt","Coefficient between 0 and 1 to promote undetection or false detections (default 0.5)");
MandatoryOff("wgt");
- SetParameterFloat("wgt",0.5, false);
+ SetParameterFloat("wgt",0.5);
AddParameter(ParameterType_InputFilename,"initmod","initialization model");
SetParameterDescription("initmod","Initialization model (xml file) to be used. If the xml initialization model is set, the descriptor list is not used (specified using the option -desclist)");
@@ -157,12 +157,12 @@ private:
AddParameter(ParameterType_StringList, "desclist","Descriptor list");
SetParameterDescription("desclist","List of the descriptors to be used in the model (must be specified to perform an automatic initialization)");
MandatoryOff("desclist");
- SetParameterString("desclist","", false);
+ SetParameterString("desclist","");
AddParameter(ParameterType_Int,"maxnbit","Maximum number of iterations");
MandatoryOff("maxnbit");
SetParameterDescription("maxnbit","Maximum number of optimizer iteration (default 200)");
- SetParameterInt("maxnbit",200, false);
+ SetParameterInt("maxnbit",200);
AddParameter(ParameterType_Empty,"optobs","Optimizer Observer");
SetParameterDescription("optobs","Activate the optimizer observer");
diff --git a/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx b/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
index a5067bf9cdb782b5dd2d70e25a43c23f7d41baa8..2c7fe5c84017f912ec105bd665c797bffdf74242 100644
--- a/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
+++ b/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
@@ -148,7 +148,7 @@ protected:
void ComputeImageEnvelope(const std::string &vectorFileName)
{
- GetInternalApplication("imgenvelop")->SetParameterString("out", vectorFileName, false);
+ GetInternalApplication("imgenvelop")->SetParameterString("out", vectorFileName);
GetInternalApplication("imgenvelop")->ExecuteAndWriteOutput();
}
@@ -187,8 +187,8 @@ protected:
{
std::vector<std::string> fieldList = {fieldName};
- GetInternalApplication("polystats")->SetParameterStringList("field", fieldList, false);
- GetInternalApplication("polystats")->SetParameterString("out", statisticsFileName, false);
+ GetInternalApplication("polystats")->SetParameterStringList("field", fieldList);
+ GetInternalApplication("polystats")->SetParameterString("out", statisticsFileName);
ExecuteInternal("polystats");
}
@@ -199,17 +199,17 @@ protected:
int NBSamples)
{
/* SampleSelection */
- GetInternalApplication("select")->SetParameterString("out", sampleFileName, false);
+ GetInternalApplication("select")->SetParameterString("out", sampleFileName);
UpdateInternalParameters("select");
- GetInternalApplication("select")->SetParameterString("instats", statisticsFileName, false);
- GetInternalApplication("select")->SetParameterString("field", fieldName, false);
+ GetInternalApplication("select")->SetParameterString("instats", statisticsFileName);
+ GetInternalApplication("select")->SetParameterString("field", fieldName);
- GetInternalApplication("select")->SetParameterString("strategy", "constant", false);
- GetInternalApplication("select")->SetParameterInt("strategy.constant.nb", NBSamples, false);
+ GetInternalApplication("select")->SetParameterString("strategy", "constant");
+ GetInternalApplication("select")->SetParameterInt("strategy.constant.nb", NBSamples);
if( IsParameterEnabled("rand"))
- GetInternalApplication("select")->SetParameterInt("rand", GetParameterInt("rand"), false);
+ GetInternalApplication("select")->SetParameterInt("rand", GetParameterInt("rand"));
// select sample positions
ExecuteInternal("select");
@@ -217,8 +217,8 @@ protected:
/* SampleExtraction */
UpdateInternalParameters("extraction");
- GetInternalApplication("extraction")->SetParameterString("outfield", "prefix", false);
- GetInternalApplication("extraction")->SetParameterString("outfield.prefix.name", "value_", false);
+ GetInternalApplication("extraction")->SetParameterString("outfield", "prefix");
+ GetInternalApplication("extraction")->SetParameterString("outfield.prefix.name", "value_");
// extract sample descriptors
GetInternalApplication("extraction")->ExecuteAndWriteOutput();
@@ -229,7 +229,7 @@ protected:
const std::string &modelFileName)
{
std::vector<std::string> extractOutputList = {sampleTrainFileName};
- GetInternalApplication("training")->SetParameterStringList("io.vd", extractOutputList, false);
+ GetInternalApplication("training")->SetParameterStringList("io.vd", extractOutputList);
UpdateInternalParameters("training");
// set field names
@@ -242,19 +242,19 @@ protected:
oss << i;
selectedNames.push_back( selectPrefix + oss.str() );
}
- GetInternalApplication("training")->SetParameterStringList("feat", selectedNames, false);
+ GetInternalApplication("training")->SetParameterStringList("feat", selectedNames);
- GetInternalApplication("training")->SetParameterString("classifier", "sharkkm", false);
+ GetInternalApplication("training")->SetParameterString("classifier", "sharkkm");
GetInternalApplication("training")->SetParameterInt("classifier.sharkkm.maxiter",
- GetParameterInt("maxit"), false);
+ GetParameterInt("maxit"));
GetInternalApplication("training")->SetParameterInt("classifier.sharkkm.k",
- GetParameterInt("nc"), false);
+ GetParameterInt("nc"));
if( IsParameterEnabled("rand"))
- GetInternalApplication("training")->SetParameterInt("rand", GetParameterInt("rand"), false);
+ GetInternalApplication("training")->SetParameterInt("rand", GetParameterInt("rand"));
GetInternalApplication("training")->GetParameterByKey("v")->SetActive(false);
- GetInternalApplication("training")->SetParameterString("io.out", modelFileName, false);
+ GetInternalApplication("training")->SetParameterString("io.out", modelFileName);
ExecuteInternal( "training" );
otbAppLogINFO("output model : " << GetInternalApplication("training")->GetParameterString("io.out"));
@@ -264,8 +264,8 @@ protected:
const std::string &imagesStatsFileName)
{
std::vector<std::string> imageFileNameList = {imageFileName};
- GetInternalApplication("imgstats")->SetParameterStringList("il", imageFileNameList, false);
- GetInternalApplication("imgstats")->SetParameterString("out", imagesStatsFileName, false);
+ GetInternalApplication("imgstats")->SetParameterStringList("il", imageFileNameList);
+ GetInternalApplication("imgstats")->SetParameterString("out", imagesStatsFileName);
ExecuteInternal( "imgstats" );
otbAppLogINFO("image statistics file : " << GetInternalApplication("imgstats")->GetParameterString("out"));
@@ -506,7 +506,7 @@ private:
void UpdateKMPolygonClassStatisticsParameters(const std::string &vectorFileName)
{
- GetInternalApplication( "polystats" )->SetParameterString( "vec", vectorFileName, false );
+ GetInternalApplication( "polystats" )->SetParameterString( "vec", vectorFileName);
UpdateInternalParameters( "polystats" );
}
diff --git a/Modules/Applications/AppClassification/app/otbMultiImageSamplingRate.cxx b/Modules/Applications/AppClassification/app/otbMultiImageSamplingRate.cxx
index 889e909cc54301fb53eeb952783e9d1f4325fa20..85bed4e53ba73895d2619c590ed6b474718acac6 100644
--- a/Modules/Applications/AppClassification/app/otbMultiImageSamplingRate.cxx
+++ b/Modules/Applications/AppClassification/app/otbMultiImageSamplingRate.cxx
@@ -164,7 +164,7 @@ private:
SetParameterDescription("strategy.all","Take all samples");
// Default strategy : smallest
- SetParameterString("strategy","smallest", false);
+ SetParameterString("strategy","smallest");
AddParameter(ParameterType_Choice, "mim", "Multi-Image Mode");
diff --git a/Modules/Applications/AppClassification/app/otbOGRLayerClassifier.cxx b/Modules/Applications/AppClassification/app/otbOGRLayerClassifier.cxx
index eb58a7e0ac4371d6c0fa4830f457bf36c11d426f..a29b0bc527a1d280f596177323e66bbfcfcd2140 100644
--- a/Modules/Applications/AppClassification/app/otbOGRLayerClassifier.cxx
+++ b/Modules/Applications/AppClassification/app/otbOGRLayerClassifier.cxx
@@ -82,7 +82,7 @@ private:
AddParameter(ParameterType_String,"cfield","Field containing the predicted class.");
SetParameterDescription("cfield","Field containing the predicted class");
- SetParameterString("cfield","predicted", false);
+ SetParameterString("cfield","predicted");
// Doc example parameter settings
SetDocExampleParameterValue("inshp", "vectorData.shp");
diff --git a/Modules/Applications/AppClassification/app/otbSampleExtraction.cxx b/Modules/Applications/AppClassification/app/otbSampleExtraction.cxx
index a9c2b07fbde06f288706a67fb9b7b999cb7de076..4c3d40b56077b7ad605758e92c59a76c9919ff74 100644
--- a/Modules/Applications/AppClassification/app/otbSampleExtraction.cxx
+++ b/Modules/Applications/AppClassification/app/otbSampleExtraction.cxx
@@ -89,7 +89,7 @@ private:
AddParameter(ParameterType_String, "outfield.prefix.name", "Output field prefix");
SetParameterDescription("outfield.prefix.name","Prefix used to form the field names that"
"will contain the extracted values.");
- SetParameterString("outfield.prefix.name", "value_", false);
+ SetParameterString("outfield.prefix.name", "value_");
AddChoice("outfield.list","Use the given name list");
SetParameterDescription("outfield.list","Use the given name list");
diff --git a/Modules/Applications/AppClassification/app/otbSampleSelection.cxx b/Modules/Applications/AppClassification/app/otbSampleSelection.cxx
index b41f20470f2ac4fe5d2321011cc6c806a66ebb03..cd3542db8e2db78a0c8e0f4cf624e88ab62575ed 100644
--- a/Modules/Applications/AppClassification/app/otbSampleSelection.cxx
+++ b/Modules/Applications/AppClassification/app/otbSampleSelection.cxx
@@ -200,7 +200,7 @@ private:
SetParameterDescription("strategy.all","Take all samples");
// Default strategy : smallest
- SetParameterString("strategy","smallest", false);
+ SetParameterString("strategy","smallest");
AddParameter(ParameterType_ListView, "field", "Field Name");
SetParameterDescription("field","Name of the field carrying the class name in the input vectors.");
diff --git a/Modules/Applications/AppClassification/app/otbTrainImagesClassifier.cxx b/Modules/Applications/AppClassification/app/otbTrainImagesClassifier.cxx
index a76f81dce73870d4d6820f4931999d5253e9fed5..e17a4adb4eaa64f0f7fed89280e4436963f8ce46 100644
--- a/Modules/Applications/AppClassification/app/otbTrainImagesClassifier.cxx
+++ b/Modules/Applications/AppClassification/app/otbTrainImagesClassifier.cxx
@@ -217,7 +217,7 @@ private :
void UpdatePolygonClassStatisticsParameters()
{
std::vector<std::string> vectorFileList = GetParameterStringList( "io.vd" );
- GetInternalApplication( "polystat" )->SetParameterString( "vec", vectorFileList[0], false );
+ GetInternalApplication( "polystat" )->SetParameterString( "vec", vectorFileList[0]);
UpdateInternalParameters( "polystat" );
}
diff --git a/Modules/Applications/AppClassification/app/otbTrainRegression.cxx b/Modules/Applications/AppClassification/app/otbTrainRegression.cxx
index 690d03da1de8ad2a9388f36f11e1775d5ce9ce8f..9d22eb9d1afd45fe82224e62e57d6e7267f06e35 100644
--- a/Modules/Applications/AppClassification/app/otbTrainRegression.cxx
+++ b/Modules/Applications/AppClassification/app/otbTrainRegression.cxx
@@ -183,7 +183,7 @@ void DoInit() ITK_OVERRIDE
SetParameterDescription( "sample.vtr" ,
"Ratio between training and validation samples (0.0 = all training, "
"1.0 = all validation) (default = 0.5).");
- SetParameterFloat( "sample.vtr" , 0.5 , false );
+ SetParameterFloat( "sample.vtr" , 0.5);
Superclass::DoInit();
diff --git a/Modules/Applications/AppClassification/app/otbVectorClassifier.cxx b/Modules/Applications/AppClassification/app/otbVectorClassifier.cxx
index b8ecd88713eb985b25f935741268a17f8f955edf..1a4d91215a51e3e0391af662634aeb7254193fb1 100644
--- a/Modules/Applications/AppClassification/app/otbVectorClassifier.cxx
+++ b/Modules/Applications/AppClassification/app/otbVectorClassifier.cxx
@@ -124,7 +124,7 @@ private:
"Only geometries with this field available will be taken into account.\n"
"The field is added either in the input file (if 'out' off) or in the output file.\n"
"Caution, the 'cfield' must not exist in the input file if you are updating the file.");
- SetParameterString("cfield","predicted", false);
+ SetParameterString("cfield","predicted");
AddParameter(ParameterType_ListView, "feat", "Field names to be calculated.");
SetParameterDescription("feat","List of field names in the input vector data used as features for training. "
diff --git a/Modules/Applications/AppClassification/app/otbVectorDataDSValidation.cxx b/Modules/Applications/AppClassification/app/otbVectorDataDSValidation.cxx
index 11e75421ae78dee6bd5e17de99aefa91fe660ee4..05ddb93a0582162c20dbfe1ff3d4d2e009287798 100644
--- a/Modules/Applications/AppClassification/app/otbVectorDataDSValidation.cxx
+++ b/Modules/Applications/AppClassification/app/otbVectorDataDSValidation.cxx
@@ -87,12 +87,12 @@ private:
AddParameter(ParameterType_String, "cri", "Criterion");
SetParameterDescription("cri", "Dempster Shafer criterion (by default (belief+plausibility)/2)");
MandatoryOff("cri");
- SetParameterString("cri", "((Belief + Plausibility)/2.)", false);
+ SetParameterString("cri", "((Belief + Plausibility)/2.)");
AddParameter(ParameterType_Float, "thd", "Criterion threshold");
SetParameterDescription("thd", "Criterion threshold (default 0.5)");
MandatoryOff("thd");
- SetParameterFloat("thd",0.5, false);
+ SetParameterFloat("thd",0.5);
AddParameter(ParameterType_OutputVectorData, "out", "Output Vector Data");
SetParameterDescription("out", "Output VectorData containing only the validated samples");
diff --git a/Modules/Applications/AppClassification/include/otbTrainBoost.txx b/Modules/Applications/AppClassification/include/otbTrainBoost.txx
index 46cbbbd12560b459c95a3264116ac189b75398fc..f971a2a6294bf42561db2bd799c895877482f254 100644
--- a/Modules/Applications/AppClassification/include/otbTrainBoost.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainBoost.txx
@@ -61,16 +61,16 @@ namespace Wrapper
SetParameterDescription("classifier.boost.t.gentle",
"A modified version of the Real Adaboost algorithm, using Newton stepping "
"rather than exact optimization at each step.");
- SetParameterString("classifier.boost.t", "real", false);
+ SetParameterString("classifier.boost.t", "real");
SetParameterDescription("classifier.boost.t", "Type of Boosting algorithm.");
//Do not expose SplitCriteria
//WeakCount
AddParameter(ParameterType_Int, "classifier.boost.w", "Weak count");
- SetParameterInt("classifier.boost.w",100, false);
+ SetParameterInt("classifier.boost.w",100);
SetParameterDescription("classifier.boost.w","The number of weak classifiers.");
//WeightTrimRate
AddParameter(ParameterType_Float, "classifier.boost.r", "Weight Trim Rate");
- SetParameterFloat("classifier.boost.r",0.95, false);
+ SetParameterFloat("classifier.boost.r",0.95);
SetParameterDescription("classifier.boost.r",
"A threshold between 0 and 1 used to save computational time. "
"Samples with summary weight <= (1 - weight_trim_rate) do not participate in"
@@ -78,7 +78,7 @@ namespace Wrapper
"functionality.");
//MaxDepth : Not sure that this parameter has to be exposed.
AddParameter(ParameterType_Int, "classifier.boost.m", "Maximum depth of the tree");
- SetParameterInt("classifier.boost.m",1, false);
+ SetParameterInt("classifier.boost.m",1);
SetParameterDescription("classifier.boost.m","Maximum depth of the tree.");
}
diff --git a/Modules/Applications/AppClassification/include/otbTrainDecisionTree.txx b/Modules/Applications/AppClassification/include/otbTrainDecisionTree.txx
index 9803a91a7a8a03f46f9b5bd8443d3d12a112926a..bfedec33068bb1bf52749ed621b9129091ce2570 100644
--- a/Modules/Applications/AppClassification/include/otbTrainDecisionTree.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainDecisionTree.txx
@@ -40,9 +40,9 @@ LearningApplicationBase<TInputValue,TOutputValue>
//MaxDepth
AddParameter(ParameterType_Int, "classifier.dt.max", "Maximum depth of the tree");
#ifdef OTB_OPENCV_3
- SetParameterInt("classifier.dt.max",10, false);
+ SetParameterInt("classifier.dt.max",10);
#else
- SetParameterInt("classifier.dt.max",65535, false);
+ SetParameterInt("classifier.dt.max",65535);
#endif
SetParameterDescription("classifier.dt.max",
"The training algorithm attempts to split each node while its depth is smaller "
@@ -51,14 +51,14 @@ LearningApplicationBase<TInputValue,TOutputValue>
//MinSampleCount
AddParameter(ParameterType_Int, "classifier.dt.min", "Minimum number of samples in each node");
- SetParameterInt("classifier.dt.min",10, false);
+ SetParameterInt("classifier.dt.min",10);
SetParameterDescription("classifier.dt.min",
"If the number of samples in a node is smaller "
"than this parameter, then this node will not be split.");
//RegressionAccuracy
AddParameter(ParameterType_Float, "classifier.dt.ra", "Termination criteria for regression tree");
- SetParameterFloat("classifier.dt.ra",0.01, false);
+ SetParameterFloat("classifier.dt.ra",0.01);
SetParameterDescription("classifier.dt.ra",
"If all absolute differences between an estimated value in a node "
"and the values of the train samples in this node are smaller than this "
@@ -72,7 +72,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
AddParameter(ParameterType_Int, "classifier.dt.cat",
"Cluster possible values of a categorical variable into K <= cat clusters to find a "
"suboptimal split");
- SetParameterInt("classifier.dt.cat",10, false);
+ SetParameterInt("classifier.dt.cat",10);
SetParameterDescription("classifier.dt.cat",
"Cluster possible values of a categorical variable into K <= cat clusters to find a "
"suboptimal split.");
@@ -81,9 +81,9 @@ LearningApplicationBase<TInputValue,TOutputValue>
AddParameter(ParameterType_Int, "classifier.dt.f", "K-fold cross-validations");
#ifdef OTB_OPENCV_3
// disable cross validation by default (crash in opencv 3.2)
- SetParameterInt("classifier.dt.f",0, false);
+ SetParameterInt("classifier.dt.f",0);
#else
- SetParameterInt("classifier.dt.f",10, false);
+ SetParameterInt("classifier.dt.f",10);
#endif
SetParameterDescription("classifier.dt.f",
"If cv_folds > 1, then it prunes a tree with K-fold cross-validation where K "
diff --git a/Modules/Applications/AppClassification/include/otbTrainGradientBoostedTree.txx b/Modules/Applications/AppClassification/include/otbTrainGradientBoostedTree.txx
index 7f69ac9338011c00f3c11164f3a4a1a362a65c65..30a3fde157d6bc04ca60524373333d088254b549 100644
--- a/Modules/Applications/AppClassification/include/otbTrainGradientBoostedTree.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainGradientBoostedTree.txx
@@ -52,7 +52,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//WeakCount
AddParameter(ParameterType_Int, "classifier.gbt.w", "Number of boosting algorithm iterations");
- SetParameterInt("classifier.gbt.w",200, false);
+ SetParameterInt("classifier.gbt.w",200);
SetParameterDescription(
"classifier.gbt.w",
"Number \"w\" of boosting algorithm iterations, with w*K being the total number of trees in "
@@ -60,20 +60,20 @@ LearningApplicationBase<TInputValue,TOutputValue>
//Shrinkage
AddParameter(ParameterType_Float, "classifier.gbt.s", "Regularization parameter");
- SetParameterFloat("classifier.gbt.s",0.01, false);
+ SetParameterFloat("classifier.gbt.s",0.01);
SetParameterDescription("classifier.gbt.s", "Regularization parameter.");
//SubSamplePortion
AddParameter(ParameterType_Float, "classifier.gbt.p",
"Portion of the whole training set used for each algorithm iteration");
- SetParameterFloat("classifier.gbt.p",0.8, false);
+ SetParameterFloat("classifier.gbt.p",0.8);
SetParameterDescription(
"classifier.gbt.p",
"Portion of the whole training set used for each algorithm iteration. The subset is generated randomly.");
//MaxDepth
AddParameter(ParameterType_Int, "classifier.gbt.max", "Maximum depth of the tree");
- SetParameterInt("classifier.gbt.max",3, false);
+ SetParameterInt("classifier.gbt.max",3);
SetParameterDescription(
"classifier.gbt.max", "The training algorithm attempts to split each node while its depth is smaller than the maximum "
"possible depth of the tree. The actual depth may be smaller if the other termination criteria are met, and/or "
diff --git a/Modules/Applications/AppClassification/include/otbTrainImagesBase.txx b/Modules/Applications/AppClassification/include/otbTrainImagesBase.txx
index a646cea9539fc3c8b6dcc5f013a6996ed7bf2a9d..a1f4ca1c23a1aa444ae779a456240f6e68a9a684 100644
--- a/Modules/Applications/AppClassification/include/otbTrainImagesBase.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainImagesBase.txx
@@ -79,7 +79,7 @@ void TrainImagesBase::InitSampling()
AddParameter( ParameterType_Float, "sample.vtr", "Training and validation sample ratio" );
SetParameterDescription( "sample.vtr", "Ratio between training and validation samples (0.0 = all training, 1.0 = "
"all validation) (default = 0.5)." );
- SetParameterFloat( "sample.vtr", 0.5, false );
+ SetParameterFloat( "sample.vtr", 0.5);
SetMaximumParameterFloatValue( "sample.vtr", 1.0 );
SetMinimumParameterFloatValue( "sample.vtr", 0.0 );
@@ -160,8 +160,8 @@ void TrainImagesBase::ComputePolygonStatistics(FloatVectorImageListType *imageLi
for( unsigned int i = 0; i < nbImages; i++ )
{
GetInternalApplication( "polystat" )->SetParameterInputImage( "in", imageList->GetNthElement( i ) );
- GetInternalApplication( "polystat" )->SetParameterString( "vec", vectorFileNames[i], false );
- GetInternalApplication( "polystat" )->SetParameterString( "out", statisticsFileNames[i], false );
+ GetInternalApplication( "polystat" )->SetParameterString( "vec", vectorFileNames[i]);
+ GetInternalApplication( "polystat" )->SetParameterString( "out", statisticsFileNames[i]);
ExecuteInternal( "polystat" );
}
}
@@ -170,7 +170,7 @@ void TrainImagesBase::ComputePolygonStatistics(FloatVectorImageListType *imageLi
TrainImagesBase::SamplingRates TrainImagesBase::ComputeFinalMaximumSamplingRates(bool dedicatedValidation)
{
SamplingRates rates;
- GetInternalApplication( "rates" )->SetParameterString( "mim", "proportional", false );
+ GetInternalApplication( "rates" )->SetParameterString( "mim", "proportional");
double vtr = GetParameterFloat( "sample.vtr" );
long mt = GetParameterInt( "sample.mt" );
long mv = GetParameterInt( "sample.mv" );
@@ -224,11 +224,11 @@ void TrainImagesBase::ComputeSamplingRate(const std::vector<std::string> &statis
const std::string &ratesFileName, long maximum)
{
// Sampling rates
- GetInternalApplication( "rates" )->SetParameterStringList( "il", statisticsFileNames, false );
- GetInternalApplication( "rates" )->SetParameterString( "out", ratesFileName, false );
+ GetInternalApplication( "rates" )->SetParameterStringList( "il", statisticsFileNames);
+ GetInternalApplication( "rates" )->SetParameterString( "out", ratesFileName);
if( GetParameterInt( "sample.bm" ) != 0 )
{
- GetInternalApplication( "rates" )->SetParameterString( "strategy", "smallest", false );
+ GetInternalApplication( "rates" )->SetParameterString( "strategy", "smallest");
}
else
{
@@ -236,12 +236,12 @@ void TrainImagesBase::ComputeSamplingRate(const std::vector<std::string> &statis
{
std::ostringstream oss;
oss << maximum;
- GetInternalApplication( "rates" )->SetParameterString( "strategy", "constant", false );
- GetInternalApplication( "rates" )->SetParameterString( "strategy.constant.nb", oss.str(), false );
+ GetInternalApplication( "rates" )->SetParameterString( "strategy", "constant");
+ GetInternalApplication( "rates" )->SetParameterString( "strategy.constant.nb", oss.str());
}
else
{
- GetInternalApplication( "rates" )->SetParameterString( "strategy", "all", false );
+ GetInternalApplication( "rates" )->SetParameterString( "strategy", "all");
}
}
ExecuteInternal( "rates" );
@@ -251,9 +251,9 @@ void
TrainImagesBase::TrainModel(FloatVectorImageListType *imageList, const std::vector<std::string> &sampleTrainFileNames,
const std::vector<std::string> &sampleValidationFileNames)
{
- GetInternalApplication( "training" )->SetParameterStringList( "io.vd", sampleTrainFileNames, false );
+ GetInternalApplication( "training" )->SetParameterStringList( "io.vd", sampleTrainFileNames);
if( !sampleValidationFileNames.empty() )
- GetInternalApplication( "training" )->SetParameterStringList( "valid.vd", sampleValidationFileNames, false );
+ GetInternalApplication( "training" )->SetParameterStringList( "valid.vd", sampleValidationFileNames);
UpdateInternalParameters( "training" );
// set field names
@@ -266,7 +266,7 @@ TrainImagesBase::TrainModel(FloatVectorImageListType *imageList, const std::vect
oss << i;
selectedNames.push_back( "value_" + oss.str() );
}
- GetInternalApplication( "training" )->SetParameterStringList( "feat", selectedNames, false );
+ GetInternalApplication( "training" )->SetParameterStringList( "feat", selectedNames);
ExecuteInternal( "training" );
}
@@ -276,38 +276,38 @@ void TrainImagesBase::SelectAndExtractSamples(FloatVectorImageType *image, std::
std::string selectedField)
{
GetInternalApplication( "select" )->SetParameterInputImage( "in", image );
- GetInternalApplication( "select" )->SetParameterString( "out", sampleFileName, false );
+ GetInternalApplication( "select" )->SetParameterString( "out", sampleFileName);
// Change the selection strategy based on selected sampling strategy
switch( strategy )
{
// case GEOMETRIC:
-// GetInternalApplication( "select" )->SetParameterString( "sampler", "random", false );
-// GetInternalApplication( "select" )->SetParameterString( "strategy", "percent", false );
+// GetInternalApplication( "select" )->SetParameterString( "sampler", "random");
+// GetInternalApplication( "select" )->SetParameterString( "strategy", "percent");
// GetInternalApplication( "select" )->SetParameterFloat( "strategy.percent.p",
-// GetParameterFloat( "sample.percent" ), false );
+// GetParameterFloat( "sample.percent" ));
// break;
case CLASS:
default:
- GetInternalApplication( "select" )->SetParameterString( "vec", vectorFileName, false );
- GetInternalApplication( "select" )->SetParameterString( "instats", statisticsFileName, false );
- GetInternalApplication( "select" )->SetParameterString( "sampler", "periodic", false );
+ GetInternalApplication( "select" )->SetParameterString( "vec", vectorFileName);
+ GetInternalApplication( "select" )->SetParameterString( "instats", statisticsFileName);
+ GetInternalApplication( "select" )->SetParameterString( "sampler", "periodic");
GetInternalApplication( "select" )->SetParameterInt( "sampler.periodic.jitter", 50 );
- GetInternalApplication( "select" )->SetParameterString( "strategy", "byclass", false );
- GetInternalApplication( "select" )->SetParameterString( "strategy.byclass.in", ratesFileName, false );
+ GetInternalApplication( "select" )->SetParameterString( "strategy", "byclass");
+ GetInternalApplication( "select" )->SetParameterString( "strategy.byclass.in", ratesFileName);
break;
}
// select sample positions
ExecuteInternal( "select" );
- GetInternalApplication( "extraction" )->SetParameterString( "vec", sampleFileName, false );
+ GetInternalApplication( "extraction" )->SetParameterString( "vec", sampleFileName);
UpdateInternalParameters( "extraction" );
if( !selectedField.empty() )
- GetInternalApplication( "extraction" )->SetParameterString( "field", selectedField, false );
+ GetInternalApplication( "extraction" )->SetParameterString( "field", selectedField);
- GetInternalApplication( "extraction" )->SetParameterString( "outfield", "prefix", false );
- GetInternalApplication( "extraction" )->SetParameterString( "outfield.prefix.name", "value_", false );
+ GetInternalApplication( "extraction" )->SetParameterString( "outfield", "prefix");
+ GetInternalApplication( "extraction" )->SetParameterString( "outfield.prefix.name", "value_");
// extract sample descriptors
ExecuteInternal( "extraction" );
diff --git a/Modules/Applications/AppClassification/include/otbTrainKNN.txx b/Modules/Applications/AppClassification/include/otbTrainKNN.txx
index 2ff93632bcd9b399e6d399f16cfe1fa33ed2cc6d..71e02215dbbf94e4b6d014ae89e92f11ac1389fb 100644
--- a/Modules/Applications/AppClassification/include/otbTrainKNN.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainKNN.txx
@@ -39,7 +39,7 @@ namespace Wrapper
//K parameter
AddParameter(ParameterType_Int, "classifier.knn.k", "Number of Neighbors");
- SetParameterInt("classifier.knn.k",32, false);
+ SetParameterInt("classifier.knn.k",32);
SetParameterDescription("classifier.knn.k","The number of neighbors to use.");
if (this->m_RegressionFlag)
diff --git a/Modules/Applications/AppClassification/include/otbTrainLibSVM.txx b/Modules/Applications/AppClassification/include/otbTrainLibSVM.txx
index 18b9f4d39a8926abf645647bec30273d2b98e3b5..e0ebcea32cafebd24082cf31565b11cc0a6ae09c 100644
--- a/Modules/Applications/AppClassification/include/otbTrainLibSVM.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainLibSVM.txx
@@ -54,7 +54,7 @@ namespace Wrapper
SetParameterDescription("classifier.libsvm.k.sigmoid",
"The kernel is a hyperbolic tangente function of the vectors.");
- SetParameterString("classifier.libsvm.k", "linear", false);
+ SetParameterString("classifier.libsvm.k", "linear");
SetParameterDescription("classifier.libsvm.k", "SVM Kernel Type.");
AddParameter(ParameterType_Choice, "classifier.libsvm.m", "SVM Model Type");
SetParameterDescription("classifier.libsvm.m", "Type of SVM formulation.");
@@ -67,7 +67,7 @@ namespace Wrapper
"multiplier C is used ");
AddChoice("classifier.libsvm.m.nusvr", "Nu Support Vector Regression");
- SetParameterString("classifier.libsvm.m", "epssvr", false);
+ SetParameterString("classifier.libsvm.m", "epssvr");
SetParameterDescription("classifier.libsvm.m.nusvr",
"Same as the epsilon regression except that this time the bounded "
"parameter nu is used instead of epsilon");
@@ -89,17 +89,17 @@ namespace Wrapper
SetParameterDescription("classifier.libsvm.m.oneclass",
"All the training data are from the same class, SVM builds a boundary "
"that separates the class from the rest of the feature space.");
- SetParameterString("classifier.libsvm.m", "csvc", false);
+ SetParameterString("classifier.libsvm.m", "csvc");
}
AddParameter(ParameterType_Float, "classifier.libsvm.c", "Cost parameter C");
- SetParameterFloat("classifier.libsvm.c",1.0, false);
+ SetParameterFloat("classifier.libsvm.c",1.0);
SetParameterDescription("classifier.libsvm.c",
"SVM models have a cost parameter C (1 by default) to control the "
"trade-off between training errors and forcing rigid margins.");
AddParameter(ParameterType_Float, "classifier.libsvm.nu", "Cost parameter Nu");
- SetParameterFloat("classifier.libsvm.nu",0.5, false);
+ SetParameterFloat("classifier.libsvm.nu",0.5);
SetParameterDescription("classifier.libsvm.nu",
"Cost parameter Nu, in the range 0..1, the larger the value, "
"the smoother the decision.");
@@ -115,7 +115,7 @@ namespace Wrapper
if (this->m_RegressionFlag)
{
AddParameter(ParameterType_Float, "classifier.libsvm.eps", "Epsilon");
- SetParameterFloat("classifier.libsvm.eps",1e-3, false);
+ SetParameterFloat("classifier.libsvm.eps",1e-3);
SetParameterDescription("classifier.libsvm.eps",
"The distance between feature vectors from the training set and "
"the fitting hyper-plane must be less than Epsilon. For outliers"
diff --git a/Modules/Applications/AppClassification/include/otbTrainNeuralNetwork.txx b/Modules/Applications/AppClassification/include/otbTrainNeuralNetwork.txx
index 4081034a5f0fead34f03f3f0325f0ad6294b5582..33a4930ac4f2458b0aa0153d7f762529b7fa280a 100644
--- a/Modules/Applications/AppClassification/include/otbTrainNeuralNetwork.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainNeuralNetwork.txx
@@ -52,7 +52,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
"take into account the magnitude of the partial derivative (coordinate "
"of the gradient) but only its sign.");
- SetParameterString("classifier.ann.t", "reg", false);
+ SetParameterString("classifier.ann.t", "reg");
SetParameterDescription("classifier.ann.t",
"Type of training method for the multilayer perceptron (MLP) neural network.");
@@ -73,7 +73,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
AddChoice("classifier.ann.f.ident", "Identity function");
AddChoice("classifier.ann.f.sig", "Symmetrical Sigmoid function");
AddChoice("classifier.ann.f.gau", "Gaussian function (Not completely supported)");
- SetParameterString("classifier.ann.f", "sig", false);
+ SetParameterString("classifier.ann.f", "sig");
SetParameterDescription("classifier.ann.f",
"This function determine whether the output of the node is positive or not "
"depending on the output of the transfert function.");
@@ -81,21 +81,21 @@ LearningApplicationBase<TInputValue,TOutputValue>
//Alpha
AddParameter(ParameterType_Float, "classifier.ann.a",
"Alpha parameter of the activation function");
- SetParameterFloat("classifier.ann.a",1., false);
+ SetParameterFloat("classifier.ann.a",1.);
SetParameterDescription("classifier.ann.a",
"Alpha parameter of the activation function (used only with sigmoid and gaussian functions).");
//Beta
AddParameter(ParameterType_Float, "classifier.ann.b",
"Beta parameter of the activation function");
- SetParameterFloat("classifier.ann.b",1., false);
+ SetParameterFloat("classifier.ann.b",1.);
SetParameterDescription("classifier.ann.b",
"Beta parameter of the activation function (used only with sigmoid and gaussian functions).");
//BackPropDWScale
AddParameter(ParameterType_Float, "classifier.ann.bpdw",
"Strength of the weight gradient term in the BACKPROP method");
- SetParameterFloat("classifier.ann.bpdw",0.1, false);
+ SetParameterFloat("classifier.ann.bpdw",0.1);
SetParameterDescription("classifier.ann.bpdw",
"Strength of the weight gradient term in the BACKPROP method. The "
"recommended value is about 0.1.");
@@ -103,7 +103,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//BackPropMomentScale
AddParameter(ParameterType_Float, "classifier.ann.bpms",
"Strength of the momentum term (the difference between weights on the 2 previous iterations)");
- SetParameterFloat("classifier.ann.bpms",0.1, false);
+ SetParameterFloat("classifier.ann.bpms",0.1);
SetParameterDescription("classifier.ann.bpms",
"Strength of the momentum term (the difference between weights on the 2 previous "
"iterations). This parameter provides some inertia to smooth the random "
@@ -113,14 +113,14 @@ LearningApplicationBase<TInputValue,TOutputValue>
//RegPropDW0
AddParameter(ParameterType_Float, "classifier.ann.rdw",
"Initial value Delta_0 of update-values Delta_{ij} in RPROP method");
- SetParameterFloat("classifier.ann.rdw",0.1, false);
+ SetParameterFloat("classifier.ann.rdw",0.1);
SetParameterDescription("classifier.ann.rdw",
"Initial value Delta_0 of update-values Delta_{ij} in RPROP method (default = 0.1).");
//RegPropDWMin
AddParameter(ParameterType_Float, "classifier.ann.rdwm",
"Update-values lower limit Delta_{min} in RPROP method");
- SetParameterFloat("classifier.ann.rdwm",1e-7, false);
+ SetParameterFloat("classifier.ann.rdwm",1e-7);
SetParameterDescription("classifier.ann.rdwm",
"Update-values lower limit Delta_{min} in RPROP method. It must be positive "
"(default = 1e-7).");
@@ -139,20 +139,20 @@ LearningApplicationBase<TInputValue,TOutputValue>
AddChoice("classifier.ann.term.all", "Max. iterations + Epsilon");
SetParameterDescription("classifier.ann.term.all",
"Both termination criteria are used. Training stop at the first reached");
- SetParameterString("classifier.ann.term", "all", false);
+ SetParameterString("classifier.ann.term", "all");
SetParameterDescription("classifier.ann.term", "Termination criteria.");
//Epsilon
AddParameter(ParameterType_Float, "classifier.ann.eps",
"Epsilon value used in the Termination criteria");
- SetParameterFloat("classifier.ann.eps",0.01, false);
+ SetParameterFloat("classifier.ann.eps",0.01);
SetParameterDescription("classifier.ann.eps",
"Epsilon value used in the Termination criteria.");
//MaxIter
AddParameter(ParameterType_Int, "classifier.ann.iter",
"Maximum number of iterations used in the Termination criteria");
- SetParameterInt("classifier.ann.iter",1000, false);
+ SetParameterInt("classifier.ann.iter",1000);
SetParameterDescription("classifier.ann.iter",
"Maximum number of iterations used in the Termination criteria.");
diff --git a/Modules/Applications/AppClassification/include/otbTrainRandomForests.txx b/Modules/Applications/AppClassification/include/otbTrainRandomForests.txx
index f557731207aa92509c7f156fcfbdf794ebaf9d03..e19777a6861c793150c652cdb9d695cde874a618 100644
--- a/Modules/Applications/AppClassification/include/otbTrainRandomForests.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainRandomForests.txx
@@ -39,7 +39,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
"See complete documentation here \\url{http://docs.opencv.org/modules/ml/doc/random_trees.html}.");
//MaxDepth
AddParameter(ParameterType_Int, "classifier.rf.max", "Maximum depth of the tree");
- SetParameterInt("classifier.rf.max",5, false);
+ SetParameterInt("classifier.rf.max",5);
SetParameterDescription(
"classifier.rf.max",
"The depth of the tree. A low value will likely underfit and conversely a high value will likely overfit. "
@@ -47,14 +47,14 @@ LearningApplicationBase<TInputValue,TOutputValue>
//MinSampleCount
AddParameter(ParameterType_Int, "classifier.rf.min", "Minimum number of samples in each node");
- SetParameterInt("classifier.rf.min",10, false);
+ SetParameterInt("classifier.rf.min",10);
SetParameterDescription(
"classifier.rf.min", "If the number of samples in a node is smaller than this parameter, "
"then the node will not be split. A reasonable value is a small percentage of the total data e.g. 1 percent.");
//RegressionAccuracy
AddParameter(ParameterType_Float, "classifier.rf.ra", "Termination Criteria for regression tree");
- SetParameterFloat("classifier.rf.ra",0., false);
+ SetParameterFloat("classifier.rf.ra",0.);
SetParameterDescription("classifier.rf.ra", "If all absolute differences between an estimated value in a node "
"and the values of the train samples in this node are smaller than this regression accuracy parameter, "
"then the node will not be split.");
@@ -66,7 +66,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//MaxNumberOfCategories
AddParameter(ParameterType_Int, "classifier.rf.cat",
"Cluster possible values of a categorical variable into K <= cat clusters to find a suboptimal split");
- SetParameterInt("classifier.rf.cat",10, false);
+ SetParameterInt("classifier.rf.cat",10);
SetParameterDescription(
"classifier.rf.cat",
"Cluster possible values of a categorical variable into K <= cat clusters to find a suboptimal split.");
@@ -78,7 +78,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//MaxNumberOfVariables
AddParameter(ParameterType_Int, "classifier.rf.var",
"Size of the randomly selected subset of features at each tree node");
- SetParameterInt("classifier.rf.var",0, false);
+ SetParameterInt("classifier.rf.var",0);
SetParameterDescription(
"classifier.rf.var",
"The size of the subset of features, randomly selected at each tree node, that are used to find the best split(s). "
@@ -87,7 +87,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//MaxNumberOfTrees
AddParameter(ParameterType_Int, "classifier.rf.nbtrees",
"Maximum number of trees in the forest");
- SetParameterInt("classifier.rf.nbtrees",100, false);
+ SetParameterInt("classifier.rf.nbtrees",100);
SetParameterDescription(
"classifier.rf.nbtrees",
"The maximum number of trees in the forest. Typically, the more trees you have, the better the accuracy. "
@@ -97,7 +97,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//ForestAccuracy
AddParameter(ParameterType_Float, "classifier.rf.acc",
"Sufficient accuracy (OOB error)");
- SetParameterFloat("classifier.rf.acc",0.01, false);
+ SetParameterFloat("classifier.rf.acc",0.01);
SetParameterDescription("classifier.rf.acc","Sufficient accuracy (OOB error).");
diff --git a/Modules/Applications/AppClassification/include/otbTrainSVM.txx b/Modules/Applications/AppClassification/include/otbTrainSVM.txx
index ac9524faa26de64a04e4a98b008b101f225cc8ca..71e1f38adf118a77336b00288fb74619073e3c12 100644
--- a/Modules/Applications/AppClassification/include/otbTrainSVM.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainSVM.txx
@@ -42,14 +42,14 @@ namespace Wrapper
{
AddChoice("classifier.svm.m.epssvr", "Epsilon Support Vector Regression");
AddChoice("classifier.svm.m.nusvr", "Nu Support Vector Regression");
- SetParameterString("classifier.svm.m", "epssvr", false);
+ SetParameterString("classifier.svm.m", "epssvr");
}
else
{
AddChoice("classifier.svm.m.csvc", "C support vector classification");
AddChoice("classifier.svm.m.nusvc", "Nu support vector classification");
AddChoice("classifier.svm.m.oneclass", "Distribution estimation (One Class SVM)");
- SetParameterString("classifier.svm.m", "csvc", false);
+ SetParameterString("classifier.svm.m", "csvc");
}
AddParameter(ParameterType_Choice, "classifier.svm.k", "SVM Kernel Type");
AddChoice("classifier.svm.k.linear", "Linear");
@@ -57,22 +57,22 @@ namespace Wrapper
AddChoice("classifier.svm.k.rbf", "Gaussian radial basis function");
AddChoice("classifier.svm.k.poly", "Polynomial");
AddChoice("classifier.svm.k.sigmoid", "Sigmoid");
- SetParameterString("classifier.svm.k", "linear", false);
+ SetParameterString("classifier.svm.k", "linear");
SetParameterDescription("classifier.svm.k", "SVM Kernel Type.");
AddParameter(ParameterType_Float, "classifier.svm.c", "Cost parameter C");
- SetParameterFloat("classifier.svm.c",1.0, false);
+ SetParameterFloat("classifier.svm.c",1.0);
SetParameterDescription("classifier.svm.c",
"SVM models have a cost parameter C (1 by default) to control the trade-off"
" between training errors and forcing rigid margins.");
AddParameter(ParameterType_Float, "classifier.svm.nu",
"Parameter nu of a SVM optimization problem (NU_SVC / ONE_CLASS)");
- SetParameterFloat("classifier.svm.nu",0.0, false);
+ SetParameterFloat("classifier.svm.nu",0.0);
SetParameterDescription("classifier.svm.nu",
"Parameter nu of a SVM optimization problem.");
if (this->m_RegressionFlag)
{
AddParameter(ParameterType_Float, "classifier.svm.p", "Parameter epsilon of a SVM optimization problem (EPS_SVR)");
- SetParameterFloat("classifier.svm.p",1.0, false);
+ SetParameterFloat("classifier.svm.p",1.0);
SetParameterDescription("classifier.svm.p", "Parameter epsilon of a SVM optimization problem (EPS_SVR).");
AddParameter(ParameterType_Choice,
@@ -87,29 +87,29 @@ namespace Wrapper
"Stops when either iteration or epsilon criteria is true");
AddParameter(ParameterType_Float, "classifier.svm.iter", "Maximum iteration");
- SetParameterFloat("classifier.svm.iter",1000, false);
+ SetParameterFloat("classifier.svm.iter",1000);
SetParameterDescription("classifier.svm.iter",
"Maximum number of iterations (corresponds to the termination criteria 'iter').");
AddParameter(ParameterType_Float, "classifier.svm.eps",
"Epsilon accuracy threshold");
- SetParameterFloat("classifier.svm.eps",FLT_EPSILON, false);
+ SetParameterFloat("classifier.svm.eps",FLT_EPSILON);
SetParameterDescription("classifier.svm.eps",
"Epsilon accuracy (corresponds to the termination criteria 'eps').");
}
AddParameter(ParameterType_Float, "classifier.svm.coef0",
"Parameter coef0 of a kernel function (POLY / SIGMOID)");
- SetParameterFloat("classifier.svm.coef0",0.0, false);
+ SetParameterFloat("classifier.svm.coef0",0.0);
SetParameterDescription("classifier.svm.coef0",
"Parameter coef0 of a kernel function (POLY / SIGMOID).");
AddParameter(ParameterType_Float, "classifier.svm.gamma",
"Parameter gamma of a kernel function (POLY / RBF / SIGMOID)");
- SetParameterFloat("classifier.svm.gamma",1.0, false);
+ SetParameterFloat("classifier.svm.gamma",1.0);
SetParameterDescription("classifier.svm.gamma",
"Parameter gamma of a kernel function (POLY / RBF / SIGMOID).");
AddParameter(ParameterType_Float, "classifier.svm.degree",
"Parameter degree of a kernel function (POLY)");
- SetParameterFloat("classifier.svm.degree",1.0, false);
+ SetParameterFloat("classifier.svm.degree",1.0);
SetParameterDescription("classifier.svm.degree",
"Parameter degree of a kernel function (POLY).");
AddParameter(ParameterType_Empty, "classifier.svm.opt",
@@ -237,15 +237,15 @@ namespace Wrapper
SVMClassifier->Save(modelPath);
// Update the displayed parameters in the GUI after the training process, for further use of them
- SetParameterFloat("classifier.svm.c",static_cast<float> (SVMClassifier->GetOutputC()), false);
- SetParameterFloat("classifier.svm.nu",static_cast<float> (SVMClassifier->GetOutputNu()), false);
+ SetParameterFloat("classifier.svm.c",static_cast<float> (SVMClassifier->GetOutputC()));
+ SetParameterFloat("classifier.svm.nu",static_cast<float> (SVMClassifier->GetOutputNu()));
if (this->m_RegressionFlag)
{
- SetParameterFloat("classifier.svm.p",static_cast<float> (SVMClassifier->GetOutputP()), false);
+ SetParameterFloat("classifier.svm.p",static_cast<float> (SVMClassifier->GetOutputP()));
}
- SetParameterFloat("classifier.svm.coef0",static_cast<float> (SVMClassifier->GetOutputCoef0()), false);
- SetParameterFloat("classifier.svm.gamma",static_cast<float> (SVMClassifier->GetOutputGamma()), false);
- SetParameterFloat("classifier.svm.degree",static_cast<float> (SVMClassifier->GetOutputDegree()), false);
+ SetParameterFloat("classifier.svm.coef0",static_cast<float> (SVMClassifier->GetOutputCoef0()));
+ SetParameterFloat("classifier.svm.gamma",static_cast<float> (SVMClassifier->GetOutputGamma()));
+ SetParameterFloat("classifier.svm.degree",static_cast<float> (SVMClassifier->GetOutputDegree()));
}
} //end namespace wrapper
diff --git a/Modules/Applications/AppClassification/include/otbTrainSharkRandomForests.txx b/Modules/Applications/AppClassification/include/otbTrainSharkRandomForests.txx
index f2c2f97dc24bc77d798e533eadb09ef9354298d0..fa7ef6646ac634a1dca47dbc5741743ad201ccee 100644
--- a/Modules/Applications/AppClassification/include/otbTrainSharkRandomForests.txx
+++ b/Modules/Applications/AppClassification/include/otbTrainSharkRandomForests.txx
@@ -43,7 +43,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//MaxNumberOfTrees
AddParameter(ParameterType_Int, "classifier.sharkrf.nbtrees",
"Maximum number of trees in the forest");
- SetParameterInt("classifier.sharkrf.nbtrees",100, false);
+ SetParameterInt("classifier.sharkrf.nbtrees",100);
SetParameterDescription(
"classifier.sharkrf.nbtrees",
"The maximum number of trees in the forest. Typically, the more trees you have, the better the accuracy. "
@@ -53,7 +53,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//NodeSize
AddParameter(ParameterType_Int, "classifier.sharkrf.nodesize", "Min size of the node for a split");
- SetParameterInt("classifier.sharkrf.nodesize",25, false);
+ SetParameterInt("classifier.sharkrf.nodesize",25);
SetParameterDescription(
"classifier.sharkrf.nodesize",
"If the number of samples in a node is smaller than this parameter, "
@@ -61,7 +61,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//MTry
AddParameter(ParameterType_Int, "classifier.sharkrf.mtry", "Number of features tested at each node");
- SetParameterInt("classifier.sharkrf.mtry",0, false);
+ SetParameterInt("classifier.sharkrf.mtry",0);
SetParameterDescription(
"classifier.sharkrf.mtry",
"The number of features (variables) which will be tested at each node in "
@@ -71,7 +71,7 @@ LearningApplicationBase<TInputValue,TOutputValue>
//OOB Ratio
AddParameter(ParameterType_Float, "classifier.sharkrf.oobr", "Out of bound ratio");
- SetParameterFloat("classifier.sharkrf.oobr",0.66, false);
+ SetParameterFloat("classifier.sharkrf.oobr",0.66);
SetParameterDescription("classifier.sharkrf.oobr",
"Set the fraction of the original training dataset to use as the out of bag sample."
"A good default value is 0.66. ");
diff --git a/Modules/Applications/AppDimensionalityReduction/app/otbDimensionalityReduction.cxx b/Modules/Applications/AppDimensionalityReduction/app/otbDimensionalityReduction.cxx
index 686b78bb4cad81a332c249358998b59523fabdc6..c876a6983cf67a9b5f7069efa2b9f1721e578ec0 100644
--- a/Modules/Applications/AppDimensionalityReduction/app/otbDimensionalityReduction.cxx
+++ b/Modules/Applications/AppDimensionalityReduction/app/otbDimensionalityReduction.cxx
@@ -196,7 +196,7 @@ private:
unsigned int nbComp = static_cast<unsigned int> (GetParameterInt("nbcomp"));
if (nbComp > nbComponents)
{
- SetParameterInt("nbcomp",nbComponents, false);
+ SetParameterInt("nbcomp",nbComponents);
otbAppLogINFO( << "number of selected components can't exceed image dimension : "<<nbComponents );
}
@@ -206,14 +206,14 @@ private:
if (this->GetParameterString("outinv").size()!= 0)
{
otbAppLogWARNING(<<"This application only provides the forward transform for the MAF method.");
- this->SetParameterString("outinv", "", false);
+ this->SetParameterString("outinv", "");
}
this->DisableParameter("outinv");
if (this->GetParameterString("outmatrix").size()!= 0)
{
otbAppLogWARNING(<<"No transformation matrix available for MAF method.");
- this->SetParameterString("outmatrix", "", false);
+ this->SetParameterString("outmatrix", "");
}
this->DisableParameter("outmatrix");
@@ -225,7 +225,7 @@ private:
unsigned int nbComp = static_cast<unsigned int> (GetParameterInt("nbcomp"));
if ((nbComp != 0) && (nbComp != nbComponents))
{
- SetParameterInt("nbcomp",nbComponents, false);
+ SetParameterInt("nbcomp",nbComponents);
otbAppLogINFO( << "all components are kept when using MAF filter method.");
}
diff --git a/Modules/Applications/AppDomainTransform/app/otbDomainTransform.cxx b/Modules/Applications/AppDomainTransform/app/otbDomainTransform.cxx
index 54dbe894f6520795efb9066b3d1546f89c991cd8..8aa359eca3871fb85fa7ed7c3ef518e41a10de63 100644
--- a/Modules/Applications/AppDomainTransform/app/otbDomainTransform.cxx
+++ b/Modules/Applications/AppDomainTransform/app/otbDomainTransform.cxx
@@ -152,8 +152,8 @@ private:
AddChoice("mode.wavelet.form.sym8", "SYMLET8");
// Default values for mode
- SetParameterString("mode", "wavelet", false);
- SetParameterString("mode.wavelet.form", "haar", false);
+ SetParameterString("mode", "wavelet");
+ SetParameterString("mode.wavelet.form", "haar");
AddParameter(ParameterType_Choice,"direction", "Direction");
AddChoice("direction.forward", "Forward");
diff --git a/Modules/Applications/AppFiltering/app/otbSmoothing.cxx b/Modules/Applications/AppFiltering/app/otbSmoothing.cxx
index a31dc933881f65e3e50618d151f880fc87c90e9c..5f93a6b87183e62b5d40581f00d1a918b7794b0d 100644
--- a/Modules/Applications/AppFiltering/app/otbSmoothing.cxx
+++ b/Modules/Applications/AppFiltering/app/otbSmoothing.cxx
@@ -116,7 +116,7 @@ private:
SetDefaultParameterInt( "type.anidif.nbiter" , 10 );
SetDefaultParameterInt( "type.anidif.conductance" , 1. );
- SetParameterString( "type" , "anidif" , false );
+ SetParameterString( "type" , "anidif");
// Doc example parameter settings
SetExampleComment( "Image smoothing using a mean filter." , 0 );
diff --git a/Modules/Applications/AppHyperspectral/app/otbHyperspectralUnmixing.cxx b/Modules/Applications/AppHyperspectral/app/otbHyperspectralUnmixing.cxx
index 8d510460a6892d3a64124625e3288b8d107a476e..3a5032af1f3a37fbda3d8a534a832dff8b31e63a 100644
--- a/Modules/Applications/AppHyperspectral/app/otbHyperspectralUnmixing.cxx
+++ b/Modules/Applications/AppHyperspectral/app/otbHyperspectralUnmixing.cxx
@@ -144,7 +144,7 @@ private:
AddChoice("ua.mdmdnmf", "MDMDNMF");
SetParameterDescription("ua.mdmdnmf", "Minimum Dispersion Constrained Non Negative Matrix Factorization");
- SetParameterString("ua", "ucls", false);
+ SetParameterString("ua", "ucls");
// Doc example parameter settings
SetDocExampleParameterValue("in", "cupriteSubHsi.tif");
SetDocExampleParameterValue("ie", "cupriteEndmembers.tif");
diff --git a/Modules/Applications/AppHyperspectral/app/otbVertexComponentAnalysis.cxx b/Modules/Applications/AppHyperspectral/app/otbVertexComponentAnalysis.cxx
index c3b04df6a957230444db0dfb6a5c1eb8f3961587..1dc286bb9cf35ea88dfc8f8da5402a0780aaad36 100644
--- a/Modules/Applications/AppHyperspectral/app/otbVertexComponentAnalysis.cxx
+++ b/Modules/Applications/AppHyperspectral/app/otbVertexComponentAnalysis.cxx
@@ -80,7 +80,7 @@ private:
AddParameter(ParameterType_Int, "ne", "Number of endmembers");
SetParameterDescription("ne","The number of endmembers to extract from the hyperspectral image.");
- SetParameterInt("ne",1, false);
+ SetParameterInt("ne",1);
MandatoryOn("ne");
AddParameter(ParameterType_OutputImage, "outendm", "Output Endmembers");
diff --git a/Modules/Applications/AppImageUtils/app/otbColorMapping.cxx b/Modules/Applications/AppImageUtils/app/otbColorMapping.cxx
index ad8c68b614ed9b23f12182729964cabaae40f104..d68776716981ea94e1b691020bdbcd3d243595c2 100644
--- a/Modules/Applications/AppImageUtils/app/otbColorMapping.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbColorMapping.cxx
@@ -346,11 +346,11 @@ private:
AddParameter(ParameterType_Float,"method.continuous.min","Mapping range lower value");
SetParameterDescription("method.continuous.min","Set the lower input value of the mapping range.");
- SetParameterFloat("method.continuous.min",0., false);
+ SetParameterFloat("method.continuous.min",0.);
AddParameter(ParameterType_Float,"method.continuous.max","Mapping range higher value");
SetParameterDescription("method.continuous.max","Set the higher input value of the mapping range.");
- SetParameterFloat("method.continuous.max",255., false);
+ SetParameterFloat("method.continuous.max",255.);
// Optimal LUT
AddChoice("method.optimal","Compute an optimized look-up table");
@@ -359,7 +359,7 @@ private:
"[color to label] Searching all the colors present in the image to compute a continuous label list");
AddParameter(ParameterType_Int,"method.optimal.background", "Background label");
SetParameterDescription("method.optimal.background","Value of the background label");
- SetParameterInt("method.optimal.background",0, false);
+ SetParameterInt("method.optimal.background",0);
SetMinimumParameterIntValue("method.optimal.background", 0);
SetMaximumParameterIntValue("method.optimal.background", 255);
@@ -371,18 +371,18 @@ private:
AddParameter(ParameterType_Float, "method.image.nodatavalue", "NoData value");
SetParameterDescription("method.image.nodatavalue","NoData value for each channel of the support image, which will not be handled in the LUT estimation. If NOT checked, ALL the pixel values of the support image will be handled in the LUT estimation.");
MandatoryOff("method.image.nodatavalue");
- SetParameterFloat("method.image.nodatavalue",0, false);
+ SetParameterFloat("method.image.nodatavalue",0);
DisableParameter("method.image.nodatavalue");
AddParameter(ParameterType_Int, "method.image.low", "lower quantile");
SetParameterDescription("method.image.low","lower quantile for image normalization");
MandatoryOff("method.image.low");
- SetParameterInt("method.image.low",2, false);
+ SetParameterInt("method.image.low",2);
SetMinimumParameterIntValue("method.image.low", 0);
SetMaximumParameterIntValue("method.image.low", 100);
AddParameter(ParameterType_Int, "method.image.up", "upper quantile");
SetParameterDescription("method.image.up","upper quantile for image normalization");
MandatoryOff("method.image.up");
- SetParameterInt("method.image.up",2, false);
+ SetParameterInt("method.image.up",2);
SetMinimumParameterIntValue("method.image.up", 0);
SetMaximumParameterIntValue("method.image.up", 100);
@@ -406,7 +406,7 @@ private:
if (GetParameterInt("method")==1 || GetParameterInt("method")==3)
{
otbAppLogWARNING("Override method : use optimal");
- SetParameterInt("method",2, false);
+ SetParameterInt("method",2);
}
}
}
diff --git a/Modules/Applications/AppImageUtils/app/otbCompareImages.cxx b/Modules/Applications/AppImageUtils/app/otbCompareImages.cxx
index 2d0d54c83c8e1297ebcbfba5206cf88a231f2bc0..d376e56b5c0172dd5039fe2b35296025c5bfc6ae 100644
--- a/Modules/Applications/AppImageUtils/app/otbCompareImages.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbCompareImages.cxx
@@ -225,10 +225,10 @@ private:
otbAppLogINFO( << "PSNR: " << m_CompareFilter->GetPSNR() );
otbAppLogINFO( << "Number of Pixel different: " << m_CompareFilter->GetDiffCount() );
- SetParameterFloat( "mse",m_CompareFilter->GetMSE() , false);
- SetParameterFloat( "mae",m_CompareFilter->GetMAE() , false);
- SetParameterFloat( "psnr",m_CompareFilter->GetPSNR() , false);
- SetParameterFloat( "count",m_CompareFilter->GetDiffCount() , false);
+ SetParameterFloat( "mse",m_CompareFilter->GetMSE());
+ SetParameterFloat( "mae",m_CompareFilter->GetMAE());
+ SetParameterFloat( "psnr",m_CompareFilter->GetPSNR());
+ SetParameterFloat( "count",m_CompareFilter->GetDiffCount());
}
diff --git a/Modules/Applications/AppImageUtils/app/otbConvert.cxx b/Modules/Applications/AppImageUtils/app/otbConvert.cxx
index 621d48adb330f544d8b7afb1ec7bd09aee43001b..2a553a76803cb3b682adfdd8247e8fe05afe2e21 100644
--- a/Modules/Applications/AppImageUtils/app/otbConvert.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbConvert.cxx
@@ -120,7 +120,7 @@ private:
AddChoice("type.none", "None");
AddChoice("type.linear", "Linear");
AddChoice("type.log2", "Log2");
- SetParameterString("type", "none", false);
+ SetParameterString("type", "none");
AddParameter(ParameterType_Float,"type.linear.gamma","Gamma correction factor");
SetParameterDescription("type.linear.gamma","Gamma correction factor");
diff --git a/Modules/Applications/AppImageUtils/app/otbDynamicConvert.cxx b/Modules/Applications/AppImageUtils/app/otbDynamicConvert.cxx
index fa8b76c501ec66ee5672ce6a19efd8128ac8f5c7..28d51f406ee07f1cce78c5616864bd8e6bab4b8d 100644
--- a/Modules/Applications/AppImageUtils/app/otbDynamicConvert.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbDynamicConvert.cxx
@@ -124,7 +124,7 @@ private:
SetParameterDescription("type", "Transfer function for the rescaling");
AddChoice("type.linear", "Linear");
AddChoice("type.log2", "Log2");
- SetParameterString("type", "linear", false);
+ SetParameterString("type", "linear");
AddParameter(ParameterType_Float,"type.linear.gamma",
"Gamma correction factor");
diff --git a/Modules/Applications/AppImageUtils/app/otbExtractROI.cxx b/Modules/Applications/AppImageUtils/app/otbExtractROI.cxx
index bd6a8d1583cf4b54dd0ebc441108000735a943ec..6bbd121c894926d7c97a5b469f32638e58dff5d6 100644
--- a/Modules/Applications/AppImageUtils/app/otbExtractROI.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbExtractROI.cxx
@@ -267,8 +267,8 @@ private:
// Update the sizes only if the user has not defined a size
if (!HasUserValue("sizex") && !HasUserValue("sizey") )
{
- SetParameterInt("sizex",largestRegion.GetSize()[0], false);
- SetParameterInt("sizey",largestRegion.GetSize()[1], false);
+ SetParameterInt("sizex",largestRegion.GetSize()[0]);
+ SetParameterInt("sizey",largestRegion.GetSize()[1]);
// Compute extent parameter with default sizex and sizey
if ( GetParameterString( "mode" ) == "extent" && userExtent )
@@ -316,8 +316,8 @@ private:
if(!this->CropRegionOfInterest())
{
// Put the index of the ROI to origin and try to crop again
- SetParameterInt("startx",0, false);
- SetParameterInt("starty",0, false);
+ SetParameterInt("startx",0);
+ SetParameterInt("starty",0);
this->CropRegionOfInterest();
}
@@ -390,10 +390,10 @@ private:
inImage->UpdateOutputInformation();
if (region.Crop(inImage->GetLargestPossibleRegion()))
{
- SetParameterInt("sizex",region.GetSize(0), HasUserValue("sizex"));
- SetParameterInt("sizey",region.GetSize(1), HasUserValue("sizey"));
- SetParameterInt("startx",region.GetIndex(0), HasUserValue("startx"));
- SetParameterInt("starty",region.GetIndex(1), HasUserValue("starty"));
+ SetParameterInt("sizex",region.GetSize(0));
+ SetParameterInt("sizey",region.GetSize(1));
+ SetParameterInt("startx",region.GetIndex(0));
+ SetParameterInt("starty",region.GetIndex(1));
return true;
}
}
@@ -409,15 +409,15 @@ private:
if (GetParameterString( "mode.extent.unit" ) == "pxl" )
{
pixelValue = std::round( GetParameterFloat( "mode.extent.ulx" ) );
- SetParameterInt( "startx", pixelValue , true );
+ SetParameterInt( "startx", pixelValue);
pixelValue = std::round( GetParameterFloat( "mode.extent.lrx" ) \
- pixelValue ) + 1 ;
- SetParameterInt( "sizex", pixelValue , true );
+ SetParameterInt( "sizex", pixelValue);
pixelValue = std::round( GetParameterFloat( "mode.extent.uly" ) );
- SetParameterInt( "starty", pixelValue , true );
+ SetParameterInt( "starty", pixelValue);
pixelValue = std::round( GetParameterFloat( "mode.extent.lry" ) \
- pixelValue ) + 1 ;
- SetParameterInt( "sizey", pixelValue , true );
+ SetParameterInt( "sizey", pixelValue);
}
else if( GetParameterString( "mode.extent.unit" ) == "phy" )
{
@@ -432,11 +432,11 @@ private:
inImage->TransformPhysicalPointToIndex(ulp,uli);
inImage->TransformPhysicalPointToIndex(lrp,lri);
- SetParameterInt( "startx", uli[0] , true );
- SetParameterInt( "starty", uli[1] , true );
+ SetParameterInt( "startx", uli[0]);
+ SetParameterInt( "starty", uli[1]);
- SetParameterInt( "sizex", lri[0] - uli[0] + 1, true );
- SetParameterInt( "sizey", lri[1] - uli[1] + 1, true );
+ SetParameterInt( "sizex", lri[0] - uli[0] + 1);
+ SetParameterInt( "sizey", lri[1] - uli[1] + 1);
}
else if( GetParameterString( "mode.extent.unit" ) == "lonlat" )
@@ -458,11 +458,11 @@ private:
inImage->TransformPhysicalPointToIndex(ulp_out,uli_out);
inImage->TransformPhysicalPointToIndex(lrp_out,lri_out);
- SetParameterInt( "startx", uli_out[0] , true );
- SetParameterInt( "starty", uli_out[1] , true );
+ SetParameterInt( "startx", uli_out[0]);
+ SetParameterInt( "starty", uli_out[1]);
- SetParameterInt( "sizex", lri_out[0] - uli_out[0] + 1, true );
- SetParameterInt( "sizey", lri_out[1] - uli_out[1] + 1, true );
+ SetParameterInt( "sizex", lri_out[0] - uli_out[0] + 1);
+ SetParameterInt( "sizey", lri_out[1] - uli_out[1] + 1);
}
this->CropRegionOfInterest();
}
@@ -477,22 +477,22 @@ private:
lri[ 1 ] = largestRegion.GetSize()[1];
if ( GetParameterString( "mode.extent.unit" ) == "pxl" )
{
- SetParameterFloat("mode.extent.ulx", uli[0] , false);
- SetParameterFloat("mode.extent.uly", uli[1] , false);
- SetParameterFloat("mode.extent.lrx", lri[0] , false);
- SetParameterFloat("mode.extent.lry", lri[1] , false);
+ SetParameterFloat("mode.extent.ulx", uli[0]);
+ SetParameterFloat("mode.extent.uly", uli[1]);
+ SetParameterFloat("mode.extent.lrx", lri[0]);
+ SetParameterFloat("mode.extent.lry", lri[1]);
}
else if ( GetParameterString( "mode.extent.unit" ) == "phy" )
{
itk::Point<float, 2> ulp, lrp;
input->TransformIndexToPhysicalPoint(uli,ulp);
- SetParameterFloat("mode.extent.ulx",ulp[0], false);
- SetParameterFloat("mode.extent.uly",ulp[1], false);
+ SetParameterFloat("mode.extent.ulx",ulp[0]);
+ SetParameterFloat("mode.extent.uly",ulp[1]);
input->TransformIndexToPhysicalPoint(lri,lrp);
- SetParameterFloat("mode.extent.lrx",lrp[0], false);
- SetParameterFloat("mode.extent.lry",lrp[1], false);
+ SetParameterFloat("mode.extent.lrx",lrp[0]);
+ SetParameterFloat("mode.extent.lry",lrp[1]);
}
else if ( GetParameterString( "mode.extent.unit" ) == "lonlat" )
{
@@ -503,13 +503,13 @@ private:
itk::Point<float, 2> ulp_in, lrp_in , ulp_out , lrp_out;
input->TransformIndexToPhysicalPoint(uli,ulp_in);
ulp_out = rsTransform->TransformPoint( ulp_in );
- SetParameterFloat( "mode.extent.ulx" , ulp_out[ 0 ] , false );
- SetParameterFloat( "mode.extent.uly" , ulp_out[ 1 ] , false );
+ SetParameterFloat( "mode.extent.ulx" , ulp_out[ 0 ]);
+ SetParameterFloat( "mode.extent.uly" , ulp_out[ 1 ]);
input->TransformIndexToPhysicalPoint( lri , lrp_in );
lrp_out = rsTransform->TransformPoint( lrp_in );
- SetParameterFloat( "mode.extent.lrx" , lrp_out[ 0 ] , false );
- SetParameterFloat( "mode.extent.lry" , lrp_out[ 1 ] , false );
+ SetParameterFloat( "mode.extent.lrx" , lrp_out[ 0 ]);
+ SetParameterFloat( "mode.extent.lry" , lrp_out[ 1 ]);
}
}
@@ -524,8 +524,8 @@ private:
if ( GetParameterString( "mode.radius.unitr" ) == "pxl" )
{
pixelValue = std::floor( 2 * GetParameterFloat( "mode.radius.r" ) ) + 1;
- SetParameterInt( "sizey", pixelValue , true );
- SetParameterInt( "sizex", pixelValue , true );
+ SetParameterInt( "sizey", pixelValue);
+ SetParameterInt( "sizex", pixelValue);
}
if ( GetParameterString( "mode.radius.unitr" ) == "phy" )
{
@@ -564,8 +564,8 @@ private:
{
pixelValue = maxR;
}
- SetParameterInt( "sizey", 2 * pixelValue + 1 , true );
- SetParameterInt( "sizex", 2 * pixelValue + 1 , true );
+ SetParameterInt( "sizey", 2 * pixelValue + 1);
+ SetParameterInt( "sizex", 2 * pixelValue + 1);
}
}
@@ -579,9 +579,9 @@ private:
if ( GetParameterString( "mode.radius.unitc" ) == "pxl" && size )
{
pixelValue = std::round(GetParameterFloat( "mode.radius.cx" ));
- SetParameterInt( "startx", pixelValue - radiusxi , true );
+ SetParameterInt( "startx", pixelValue - radiusxi);
pixelValue = std::round(GetParameterFloat( "mode.radius.cy" ));
- SetParameterInt( "starty", pixelValue - radiusyi , true );
+ SetParameterInt( "starty", pixelValue - radiusyi);
}
if ( GetParameterString( "mode.radius.unitc" ) == "phy" && size )
{
@@ -593,8 +593,8 @@ private:
bool isIn = inImage->TransformPhysicalPointToIndex( centerp , centeri );
if ( isIn )
{
- SetParameterInt( "startx", centeri[0] - radiusxi , true );
- SetParameterInt( "starty", centeri[1] - radiusyi , true );
+ SetParameterInt( "startx", centeri[0] - radiusxi);
+ SetParameterInt( "starty", centeri[1] - radiusyi);
}
}
if ( GetParameterString( "mode.radius.unitc" ) == "lonlat" && size )
@@ -613,8 +613,8 @@ private:
centeri_out );
if ( isIn )
{
- SetParameterInt( "startx", centeri_out[0] - radiusxi , true );
- SetParameterInt( "starty", centeri_out[1] - radiusyi , true );
+ SetParameterInt( "startx", centeri_out[0] - radiusxi);
+ SetParameterInt( "starty", centeri_out[1] - radiusyi);
}
}
}
@@ -636,7 +636,7 @@ private:
if ( GetParameterString("mode.radius.unitr") == "pxl" )
{
int rad = std::min( centeri[ 0 ], centeri[ 1 ] );
- SetParameterFloat( "mode.radius.r" , rad , false );
+ SetParameterFloat( "mode.radius.r" , rad);
}
if ( GetParameterString("mode.radius.unitr") == "phy" )
{
@@ -645,19 +645,19 @@ private:
input->TransformIndexToPhysicalPoint(helpRxi,helpRxp);
input->TransformIndexToPhysicalPoint(helpRyi,helpRyp);
float rad = std::min( helpRxp[0] - helpRyp[0] , helpRyp[1] - helpRxp[1] );
- SetParameterFloat( "mode.radius.r" , rad , false );
+ SetParameterFloat( "mode.radius.r" , rad);
}
if ( GetParameterString("mode.radius.unitc") == "pxl" )
{
- SetParameterFloat( "mode.radius.cx" , centeri[0] , false );
- SetParameterFloat( "mode.radius.cy" , centeri[1] , false) ;
+ SetParameterFloat( "mode.radius.cx" , centeri[0]);
+ SetParameterFloat( "mode.radius.cy" , centeri[1]) ;
}
if ( GetParameterString("mode.radius.unitc") == "phy" )
{
itk::Point<float, 2> centerp , helpRp;
input->TransformIndexToPhysicalPoint(centeri,centerp);
- SetParameterFloat( "mode.radius.cx" , centerp[0] , false );
- SetParameterFloat( "mode.radius.cy" , centerp[1] , false) ;
+ SetParameterFloat( "mode.radius.cx" , centerp[0]);
+ SetParameterFloat( "mode.radius.cy" , centerp[1]) ;
}
if ( GetParameterString("mode.radius.unitc") == "lonlat" )
{
@@ -668,8 +668,8 @@ private:
itk::Point<float, 2> centerp_in, centerp_out;
input->TransformIndexToPhysicalPoint(centeri,centerp_in);
centerp_out = rsTransform->TransformPoint( centerp_in );
- SetParameterFloat( "mode.radius.cx" , centerp_out[ 0 ] , false );
- SetParameterFloat( "mode.radius.cy" , centerp_out[ 1 ] , false );
+ SetParameterFloat( "mode.radius.cx" , centerp_out[ 0 ]);
+ SetParameterFloat( "mode.radius.cy" , centerp_out[ 1 ]);
}
}
@@ -755,10 +755,10 @@ private:
lri[1] = std::max( std::max( uli_out[1] , uri_out[1] ) ,
std::max( lli_out[1] , lri_out[1] ) );
- SetParameterInt( "startx", uli[0] , false );
- SetParameterInt( "starty", uli[1] , false );
- SetParameterInt( "sizex", lri[0] - uli[0] , false );
- SetParameterInt( "sizey", lri[1] - uli[1] , false );
+ SetParameterInt( "startx", uli[0]);
+ SetParameterInt( "starty", uli[1]);
+ SetParameterInt( "sizex", lri[0] - uli[0]);
+ SetParameterInt( "sizey", lri[1] - uli[1]);
}
}
else if( HasValue( "mode.fit.im" ) && GetParameterString( "mode" ) == "fit" )
diff --git a/Modules/Applications/AppImageUtils/app/otbManageNoData.cxx b/Modules/Applications/AppImageUtils/app/otbManageNoData.cxx
index 439ba055904d6e1a3c8c5e72e367d2a27cc73771..7a2c5820ba4045e17d9f95c309fdcb980b02c982 100644
--- a/Modules/Applications/AppImageUtils/app/otbManageNoData.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbManageNoData.cxx
@@ -112,7 +112,7 @@ private:
SetParameterDescription("mode.apply.ndval","No Data value used according to the mask image");
SetDefaultParameterFloat("mode.apply.ndval", 0.0);
- SetParameterString("mode","buildmask", false);
+ SetParameterString("mode","buildmask");
AddRAMParameter();
diff --git a/Modules/Applications/AppImageUtils/app/otbPixelValue.cxx b/Modules/Applications/AppImageUtils/app/otbPixelValue.cxx
index 1bca9241ea384ab9210913f1ca7949e68178142c..03f1351b8dd5d3a11bafa9b1aa4caa2fa18e57c5 100644
--- a/Modules/Applications/AppImageUtils/app/otbPixelValue.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbPixelValue.cxx
@@ -292,7 +292,7 @@ private:
id.Fill(0);
std::ostringstream oss;
oss << extractor->GetOutput()->GetPixel(id);
- SetParameterString("value", oss.str(), false);
+ SetParameterString("value", oss.str());
//Display image information in the dedicated logger
otbAppLogINFO( << oss.str() );
}
diff --git a/Modules/Applications/AppImageUtils/app/otbQuicklook.cxx b/Modules/Applications/AppImageUtils/app/otbQuicklook.cxx
index dd7134c62009cdfadc14b11f98f9f39734b09c50..b3b12a6efde0b5e47eae6d2b5cc322af93b75dd7 100644
--- a/Modules/Applications/AppImageUtils/app/otbQuicklook.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbQuicklook.cxx
@@ -146,8 +146,8 @@ private:
if (!HasUserValue("rsx") && !HasUserValue("rsy") )
{
- SetParameterInt("rsx",largestRegion.GetSize()[0], false);
- SetParameterInt("rsy",largestRegion.GetSize()[1], false);
+ SetParameterInt("rsx",largestRegion.GetSize()[0]);
+ SetParameterInt("rsy",largestRegion.GetSize()[1]);
}
// Put the limit of the index and the size relative the image
@@ -168,8 +168,8 @@ private:
if(!this->CropRegionOfInterest())
{
// Put the index of the ROI to origin and try to crop again
- SetParameterInt("rox",0, false);
- SetParameterInt("roy",0, false);
+ SetParameterInt("rox",0);
+ SetParameterInt("roy",0);
this->CropRegionOfInterest();
}
}
@@ -188,10 +188,10 @@ bool CropRegionOfInterest()
{
if (region.Crop(GetParameterImage("in")->GetLargestPossibleRegion()))
{
- SetParameterInt( "rsx", region.GetSize(0), HasUserValue("rsx") );
- SetParameterInt( "rsy", region.GetSize(1), HasUserValue("rsy") );
- SetParameterInt( "rox", region.GetIndex(0), HasUserValue("rox") );
- SetParameterInt( "roy", region.GetIndex(1), HasUserValue("roy") );
+ SetParameterInt( "rsx", region.GetSize(0));
+ SetParameterInt( "rsy", region.GetSize(1));
+ SetParameterInt( "rox", region.GetIndex(0));
+ SetParameterInt( "roy", region.GetIndex(1));
return true;
}
}
diff --git a/Modules/Applications/AppImageUtils/app/otbReadImageInfo.cxx b/Modules/Applications/AppImageUtils/app/otbReadImageInfo.cxx
index 74bb9c42dadb51c605f164d14c228f5a6e5602c3..71960d8aca3e380a16e9ba2e7ab6c417766ea2cd 100644
--- a/Modules/Applications/AppImageUtils/app/otbReadImageInfo.cxx
+++ b/Modules/Applications/AppImageUtils/app/otbReadImageInfo.cxx
@@ -267,7 +267,7 @@ private:
ImageMetadataInterfaceType::Pointer metadataInterface = ImageMetadataInterfaceFactory::CreateIMI(inImage->GetMetaDataDictionary());
//Get number of bands
- SetParameterInt("numberbands",inImage->GetNumberOfComponentsPerPixel(), false);
+ SetParameterInt("numberbands",inImage->GetNumberOfComponentsPerPixel());
ossOutput << "\tNumber of bands : " << GetParameterInt("numberbands") << std::endl;
std::vector<bool> noDataValueAvailable;
bool ret = itk::ExposeMetaData<std::vector<bool> >(inImage->GetMetaDataDictionary(),MetaDataKey::NoDataValueAvailable,noDataValueAvailable);
@@ -298,26 +298,26 @@ private:
ossOutput<<std::endl;
//Get image size
- SetParameterInt("indexx",inImage->GetLargestPossibleRegion().GetIndex()[0], false);
- SetParameterInt("indexy",inImage->GetLargestPossibleRegion().GetIndex()[1], false);
+ SetParameterInt("indexx",inImage->GetLargestPossibleRegion().GetIndex()[0]);
+ SetParameterInt("indexy",inImage->GetLargestPossibleRegion().GetIndex()[1]);
ossOutput << "\tStart index : [" << GetParameterInt("indexx") << "," << GetParameterInt("indexy") << "]" << std::endl;
//Get image size
- SetParameterInt("sizex",inImage->GetLargestPossibleRegion().GetSize()[0], false);
- SetParameterInt("sizey",inImage->GetLargestPossibleRegion().GetSize()[1], false);
+ SetParameterInt("sizex",inImage->GetLargestPossibleRegion().GetSize()[0]);
+ SetParameterInt("sizey",inImage->GetLargestPossibleRegion().GetSize()[1]);
ossOutput << "\tSize : [" << GetParameterInt("sizex") << "," << GetParameterInt("sizey") << "]" << std::endl;
//Get image origin
- SetParameterFloat("originx",inImage->GetOrigin()[0], false);
- SetParameterFloat("originy",inImage->GetOrigin()[1], false);
+ SetParameterFloat("originx",inImage->GetOrigin()[0]);
+ SetParameterFloat("originy",inImage->GetOrigin()[1]);
ossOutput << "\tOrigin : [" << GetParameterFloat("originx") << "," << GetParameterFloat("originy") << "]" << std::endl;
//Get image spacing
- SetParameterFloat("spacingx",inImage->GetSignedSpacing()[0], false);
- SetParameterFloat("spacingy",inImage->GetSignedSpacing()[1], false);
+ SetParameterFloat("spacingx",inImage->GetSignedSpacing()[0]);
+ SetParameterFloat("spacingy",inImage->GetSignedSpacing()[1]);
ossOutput << "\tSpacing : [" << GetParameterFloat("spacingx") << "," << GetParameterFloat("spacingy") << "]" << std::endl;
//Estimate ground spacing
@@ -336,14 +336,14 @@ private:
approxGroundSpacing = groundSpacing->EvaluateAtIndex(index);
//Get image estimated ground spacing (in m)
- SetParameterFloat("estimatedgroundspacingx",approxGroundSpacing[0], false);
- SetParameterFloat("estimatedgroundspacingy",approxGroundSpacing[1], false);
+ SetParameterFloat("estimatedgroundspacingx",approxGroundSpacing[0]);
+ SetParameterFloat("estimatedgroundspacingy",approxGroundSpacing[1]);
ossOutput << "\tEstimated ground spacing (in meters): [" << GetParameterFloat("estimatedgroundspacingx") << "," << GetParameterFloat("estimatedgroundspacingy") << "]" << std::endl;
ossOutput << std::endl << "Image acquisition information:" << std::endl;
- SetParameterString("sensor", metadataInterface->GetSensorID(), false);
+ SetParameterString("sensor", metadataInterface->GetSensorID());
ossOutput << "\tSensor : ";
if (!GetParameterString("sensor").empty())
ossOutput << GetParameterString("sensor");
@@ -353,11 +353,11 @@ private:
ossOutput << "\tImage identification number: ";
if (metadataInterface->GetImageKeywordlist().HasKey("image_id"))
{
- SetParameterString("id", metadataInterface->GetImageKeywordlist().GetMetadataByKey("image_id"), false);
+ SetParameterString("id", metadataInterface->GetImageKeywordlist().GetMetadataByKey("image_id"));
ossOutput << GetParameterString("id");
}
ossOutput << std::endl;
- SetParameterString("projectionref", metadataInterface->GetProjectionRef(), false);
+ SetParameterString("projectionref", metadataInterface->GetProjectionRef());
if (!GetParameterString("projectionref").empty())
ossOutput << "\tImage projection : " << GetParameterString("projectionref") << std::endl;
@@ -381,7 +381,7 @@ private:
osstime<<"0";
osstime<<metadataInterface->GetMinute();
osstime<<":00";
- SetParameterString("time", osstime.str(), false);
+ SetParameterString("time", osstime.str());
ossOutput << "\tAcquisition time : " << GetParameterString("time") << std::endl;
}
@@ -410,29 +410,29 @@ private:
if( !coord2name->GetCountryName().empty() )
{
- SetParameterString("country", coord2name->GetCountryName(), false);
+ SetParameterString("country", coord2name->GetCountryName());
ossOutput << "\tCountry : " << GetParameterString("country") << std::endl;
}
else
- SetParameterString("country", "Not available", false);
+ SetParameterString("country", "Not available");
if( !coord2name->GetPlaceName().empty() )
{
- SetParameterString("town", coord2name->GetPlaceName(), false);
+ SetParameterString("town", coord2name->GetPlaceName());
ossOutput << "\tTown : " << GetParameterString("town") << std::endl;
}
else
- SetParameterString("town", "Not available", false);
+ SetParameterString("town", "Not available");
// Retrieve footprint
- SetParameterFloat("ullat",ullat, false);
- SetParameterFloat("ullon",ullon, false);
- SetParameterFloat("urlat",urlat, false);
- SetParameterFloat("urlon",urlon, false);
- SetParameterFloat("lrlat",lrlat, false);
- SetParameterFloat("lrlon",lrlon, false);
- SetParameterFloat("lllat",lllat, false);
- SetParameterFloat("lllon",lllon, false);
+ SetParameterFloat("ullat",ullat);
+ SetParameterFloat("ullon",ullon);
+ SetParameterFloat("urlat",urlat);
+ SetParameterFloat("urlon",urlon);
+ SetParameterFloat("lrlat",lrlat);
+ SetParameterFloat("lrlon",lrlon);
+ SetParameterFloat("lllat",lllat);
+ SetParameterFloat("lllon",lllon);
ossOutput << std::endl << "Image footprint coordinates:" << std::endl;
ossOutput << "\tUpper left corner (latitude, longitude) = [" << GetParameterFloat("ullat") << "," << GetParameterFloat("ullon") << "]" << std::endl;
@@ -444,15 +444,15 @@ private:
{
}
- SetParameterInt("rgb.r",metadataInterface->GetDefaultDisplay()[0], false);
- SetParameterInt("rgb.g",metadataInterface->GetDefaultDisplay()[1], false);
- SetParameterInt("rgb.b",metadataInterface->GetDefaultDisplay()[2], false);
+ SetParameterInt("rgb.r",metadataInterface->GetDefaultDisplay()[0]);
+ SetParameterInt("rgb.g",metadataInterface->GetDefaultDisplay()[1]);
+ SetParameterInt("rgb.b",metadataInterface->GetDefaultDisplay()[2]);
ossOutput << std::endl << "Image default RGB composition:" << std::endl;
ossOutput << "\t[R, G, B] = [" << GetParameterInt("rgb.r") << "," << GetParameterInt("rgb.g") << "," << GetParameterInt("rgb.b") << "]" << std::endl;
- SetParameterInt("gcp.count",metadataInterface->GetGCPCount(), false);
- SetParameterString("gcp.proj", metadataInterface->GetGCPProjection(), false);
+ SetParameterInt("gcp.count",metadataInterface->GetGCPCount());
+ SetParameterString("gcp.proj", metadataInterface->GetGCPProjection());
ossOutput << std::endl << "Ground control points information:" << std::endl;
ossOutput << "\tNumber of GCPs = " << GetParameterInt("gcp.count") << std::endl;
@@ -481,16 +481,16 @@ private:
ossOutput << "\t\tGround coordinates =" << gcp_geocoord.back() << std::endl;
}
- SetParameterStringList("gcp.ids", gcp_ids, false);
- SetParameterStringList("gcp.imcoord", gcp_imcoord, false);
- SetParameterStringList("gcp.geocoord", gcp_geocoord, false);
- SetParameterStringList("gcp.info", gcp_infos, false);
+ SetParameterStringList("gcp.ids", gcp_ids);
+ SetParameterStringList("gcp.imcoord", gcp_imcoord);
+ SetParameterStringList("gcp.geocoord", gcp_geocoord);
+ SetParameterStringList("gcp.info", gcp_infos);
if ( IsParameterEnabled("keywordlist") )
{
std::ostringstream osskeywordlist;
osskeywordlist<<metadataInterface->GetImageKeywordlist() << std::endl;
- SetParameterString("keyword", osskeywordlist.str(), false);
+ SetParameterString("keyword", osskeywordlist.str());
ossOutput << std::endl << "Image OSSIM keywordlist (optional):" << std::endl;
ossOutput << "\t" << GetParameterString("keyword") << std::endl;
diff --git a/Modules/Applications/AppMathParserX/app/otbBandMathX.cxx b/Modules/Applications/AppMathParserX/app/otbBandMathX.cxx
index 90a7f245a6f3e1adf1976c27634ec5bbb12c28fd..90be1a12b3512f386f74760c5e7673cfef4df5ed 100644
--- a/Modules/Applications/AppMathParserX/app/otbBandMathX.cxx
+++ b/Modules/Applications/AppMathParserX/app/otbBandMathX.cxx
@@ -289,7 +289,7 @@ private:
if (useContext)
{
// only set the first expression, 'ManyExpression' is disabled.
- this->SetParameterString("exp",dummyFilter->GetExpression(0), false);
+ this->SetParameterString("exp",dummyFilter->GetExpression(0));
}
}
}
diff --git a/Modules/Applications/AppOpticalCalibration/app/otbOpticalCalibration.cxx b/Modules/Applications/AppOpticalCalibration/app/otbOpticalCalibration.cxx
index 87e7dc310fa0cc14efda2c900c0b29942d3feb11..e282f5b7b4971a184721bd8c75496f03f132ccdb 100644
--- a/Modules/Applications/AppOpticalCalibration/app/otbOpticalCalibration.cxx
+++ b/Modules/Applications/AppOpticalCalibration/app/otbOpticalCalibration.cxx
@@ -197,7 +197,7 @@ private:
AddChoice("level.toa", "Image to Top Of Atmosphere reflectance");
AddChoice("level.toatoim", "TOA reflectance to Image");
AddChoice("level.toc", "Image to Top Of Canopy reflectance (atmospheric corrections)");
- SetParameterString("level", "toa", false);
+ SetParameterString("level", "toa");
AddParameter(ParameterType_Empty, "milli", "Convert to milli reflectance");
SetParameterDescription("milli", "Flag to use milli-reflectance instead of reflectance.\n"
@@ -429,21 +429,21 @@ private:
ossOutput << "Acquisition Minute already set by user: no overload" <<std::endl;
else
{
- SetParameterInt("acqui.minute",lImageMetadataInterface->GetMinute(), false);
+ SetParameterInt("acqui.minute",lImageMetadataInterface->GetMinute());
}
if (HasUserValue("acqui.hour"))
ossOutput << "Acquisition Hour already set by user: no overload" <<std::endl;
else
{
- SetParameterInt("acqui.hour",lImageMetadataInterface->GetHour(), false);
+ SetParameterInt("acqui.hour",lImageMetadataInterface->GetHour());
}
if (HasUserValue("acqui.day"))
ossOutput << "Acquisition Day already set by user: no overload" <<std::endl;
else
{
- SetParameterInt("acqui.day",lImageMetadataInterface->GetDay(), false);
+ SetParameterInt("acqui.day",lImageMetadataInterface->GetDay());
if (IsParameterEnabled("acqui.fluxnormcoeff"))
DisableParameter("acqui.day");
}
@@ -452,7 +452,7 @@ private:
ossOutput << "Acquisition Month already set by user: no overload" <<std::endl;
else
{
- SetParameterInt("acqui.month",lImageMetadataInterface->GetMonth(), false);
+ SetParameterInt("acqui.month",lImageMetadataInterface->GetMonth());
if (IsParameterEnabled("acqui.fluxnormcoeff"))
DisableParameter("acqui.month");
}
@@ -461,28 +461,28 @@ private:
ossOutput << "Acquisition Year already set by user: no overload" <<std::endl;
else
{
- SetParameterInt("acqui.year",lImageMetadataInterface->GetYear(), false);
+ SetParameterInt("acqui.year",lImageMetadataInterface->GetYear());
}
if (HasUserValue("acqui.sun.elev"))
ossOutput << "Acquisition Sun Elevation Angle already set by user: no overload" <<std::endl;
else
- SetParameterFloat("acqui.sun.elev",lImageMetadataInterface->GetSunElevation(), false);
+ SetParameterFloat("acqui.sun.elev",lImageMetadataInterface->GetSunElevation());
if (HasUserValue("acqui.sun.azim"))
ossOutput << "Acquisition Sun Azimuth Angle already set by user: no overload" <<std::endl;
else
- SetParameterFloat("acqui.sun.azim",lImageMetadataInterface->GetSunAzimuth(), false);
+ SetParameterFloat("acqui.sun.azim",lImageMetadataInterface->GetSunAzimuth());
if (HasUserValue("acqui.view.elev"))
ossOutput << "Acquisition Viewing Elevation Angle already set by user: no overload" <<std::endl;
else
- SetParameterFloat("acqui.view.elev",lImageMetadataInterface->GetSatElevation(), false);
+ SetParameterFloat("acqui.view.elev",lImageMetadataInterface->GetSatElevation());
if (HasUserValue("acqui.view.azim"))
ossOutput << "Acquisition Viewing Azimuth Angle already set by user: no overload" <<std::endl;
else
- SetParameterFloat("acqui.view.azim",lImageMetadataInterface->GetSatAzimuth(), false);
+ SetParameterFloat("acqui.view.azim",lImageMetadataInterface->GetSatAzimuth());
// Set default value so that they are stored somewhere even if
// they are overloaded by user values
diff --git a/Modules/Applications/AppProjection/app/otbConvertCartoToGeoPoint.cxx b/Modules/Applications/AppProjection/app/otbConvertCartoToGeoPoint.cxx
index dfecb742eab6f21f8bbeb72794f15aa68c5c849b..088428ef667cf4a89e8a47a29fe0baade21b9d56 100644
--- a/Modules/Applications/AppProjection/app/otbConvertCartoToGeoPoint.cxx
+++ b/Modules/Applications/AppProjection/app/otbConvertCartoToGeoPoint.cxx
@@ -122,8 +122,8 @@ private:
otbAppLogINFO( << std::setprecision(10) << "Geographic Point (Long, Lat) : (" << geoPoint[0] << ", " << geoPoint[1] << ")" );
- SetParameterFloat( "long",geoPoint[0] , false);
- SetParameterFloat( "lat",geoPoint[1] , false);
+ SetParameterFloat( "long",geoPoint[0]);
+ SetParameterFloat( "lat",geoPoint[1]);
}
};
diff --git a/Modules/Applications/AppProjection/app/otbConvertSensorToGeoPoint.cxx b/Modules/Applications/AppProjection/app/otbConvertSensorToGeoPoint.cxx
index 384c892f14addbc1c66ac4b2f6b66d6ed28b460a..c7e6ee3619254f9e901f058d0b33c46f848b8ab3 100644
--- a/Modules/Applications/AppProjection/app/otbConvertSensorToGeoPoint.cxx
+++ b/Modules/Applications/AppProjection/app/otbConvertSensorToGeoPoint.cxx
@@ -130,8 +130,8 @@ private:
outputPoint = model->TransformPoint(point);
// Set the value computed
- SetParameterFloat("output.idx",outputPoint[0], false);
- SetParameterFloat("output.idy",outputPoint[1], false);
+ SetParameterFloat("output.idx",outputPoint[0]);
+ SetParameterFloat("output.idy",outputPoint[1]);
// Set the town and the neaerest city
CoordinateToName::Pointer coord2name = CoordinateToName::New();
@@ -139,8 +139,8 @@ private:
coord2name->SetLat(outputPoint[1]);
coord2name->Evaluate();
- SetParameterString("output.town", coord2name->GetPlaceName(), false);
- SetParameterString("output.country", coord2name->GetCountryName(), false);
+ SetParameterString("output.town", coord2name->GetPlaceName());
+ SetParameterString("output.country", coord2name->GetCountryName());
}
};
diff --git a/Modules/Applications/AppProjection/app/otbGridBasedImageResampling.cxx b/Modules/Applications/AppProjection/app/otbGridBasedImageResampling.cxx
index 72c9073a536035db0bf7b54dce52958e420590d4..750913f778e08afb6417812b9b05f40f8c26b04f 100644
--- a/Modules/Applications/AppProjection/app/otbGridBasedImageResampling.cxx
+++ b/Modules/Applications/AppProjection/app/otbGridBasedImageResampling.cxx
@@ -173,7 +173,7 @@ private:
AddParameter(ParameterType_Radius, "interpolator.bco.radius", "Radius for bicubic interpolation");
SetParameterDescription("interpolator.bco.radius","This parameter allows controlling the size of the bicubic interpolation filter. If the target pixel size is higher than the input pixel size, increasing this parameter will reduce aliasing artifacts.");
SetDefaultParameterInt("interpolator.bco.radius", 2);
- SetParameterString("interpolator","bco", false);
+ SetParameterString("interpolator","bco");
AddRAMParameter();
diff --git a/Modules/Applications/AppProjection/app/otbObtainUTMZoneFromGeoPoint.cxx b/Modules/Applications/AppProjection/app/otbObtainUTMZoneFromGeoPoint.cxx
index 37d0ec7b74b4104ef1ab1e6e893a8dac585d513c..0cfa820b268b01b54df2452170129a0d285ad9f8 100644
--- a/Modules/Applications/AppProjection/app/otbObtainUTMZoneFromGeoPoint.cxx
+++ b/Modules/Applications/AppProjection/app/otbObtainUTMZoneFromGeoPoint.cxx
@@ -93,7 +93,7 @@ private:
{
int utmZone = otb::Utils::GetZoneFromGeoPoint(GetParameterFloat("lon"),
GetParameterFloat("lat"));
- SetParameterInt("utm",utmZone, false);
+ SetParameterInt("utm",utmZone);
}
};
diff --git a/Modules/Applications/AppProjection/app/otbOrthoRectification.cxx b/Modules/Applications/AppProjection/app/otbOrthoRectification.cxx
index 3c91403e47100f50b352f436f2a7583d648a14de..4c69b25151e3885083e0e0c0764ca34c20967b14 100644
--- a/Modules/Applications/AppProjection/app/otbOrthoRectification.cxx
+++ b/Modules/Applications/AppProjection/app/otbOrthoRectification.cxx
@@ -274,28 +274,28 @@ private:
// Fill the Gui with the computed parameters
if (!HasUserValue("outputs.sizex"))
- SetParameterInt("outputs.sizex",genericRSEstimator->GetOutputSize()[0], false);
+ SetParameterInt("outputs.sizex",genericRSEstimator->GetOutputSize()[0]);
if (!HasUserValue("outputs.sizey"))
- SetParameterInt("outputs.sizey",genericRSEstimator->GetOutputSize()[1], false);
+ SetParameterInt("outputs.sizey",genericRSEstimator->GetOutputSize()[1]);
if (!HasUserValue("outputs.spacingx"))
- SetParameterFloat("outputs.spacingx",genericRSEstimator->GetOutputSpacing()[0], false);
+ SetParameterFloat("outputs.spacingx",genericRSEstimator->GetOutputSpacing()[0]);
if (!HasUserValue("outputs.spacingy"))
- SetParameterFloat("outputs.spacingy",genericRSEstimator->GetOutputSpacing()[1], false);
+ SetParameterFloat("outputs.spacingy",genericRSEstimator->GetOutputSpacing()[1]);
if (!HasUserValue("outputs.ulx"))
- SetParameterFloat("outputs.ulx",genericRSEstimator->GetOutputOrigin()[0] - 0.5 * genericRSEstimator->GetOutputSpacing()[0], false);
+ SetParameterFloat("outputs.ulx",genericRSEstimator->GetOutputOrigin()[0] - 0.5 * genericRSEstimator->GetOutputSpacing()[0]);
if (!HasUserValue("outputs.uly"))
- SetParameterFloat("outputs.uly",genericRSEstimator->GetOutputOrigin()[1] - 0.5 * genericRSEstimator->GetOutputSpacing()[1], false);
+ SetParameterFloat("outputs.uly",genericRSEstimator->GetOutputOrigin()[1] - 0.5 * genericRSEstimator->GetOutputSpacing()[1]);
if (!HasUserValue("outputs.lrx"))
- SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")), false);
+ SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")));
if (!HasUserValue("outputs.lry"))
- SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")), false);
+ SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")));
// Handle the spacing and size field following the mode
// chose by the user
@@ -336,8 +336,8 @@ private:
MandatoryOff("outputs.ortho");
// Update lower right
- SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")), false);
- SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")), false);
+ SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")));
+ SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")));
}
break;
case Mode_AutomaticSize:
@@ -382,16 +382,16 @@ private:
genericRSEstimator->Compute();
// Set the processed size relative to this forced spacing
- SetParameterInt("outputs.sizex",genericRSEstimator->GetOutputSize()[0], false);
- SetParameterInt("outputs.sizey",genericRSEstimator->GetOutputSize()[1], false);
+ SetParameterInt("outputs.sizex",genericRSEstimator->GetOutputSize()[0]);
+ SetParameterInt("outputs.sizey",genericRSEstimator->GetOutputSize()[1]);
// Reset Origin to default
- SetParameterFloat("outputs.ulx",genericRSEstimator->GetOutputOrigin()[0] - 0.5 * genericRSEstimator->GetOutputSpacing()[0], false);
- SetParameterFloat("outputs.uly",genericRSEstimator->GetOutputOrigin()[1] - 0.5 * genericRSEstimator->GetOutputSpacing()[1], false);
+ SetParameterFloat("outputs.ulx",genericRSEstimator->GetOutputOrigin()[0] - 0.5 * genericRSEstimator->GetOutputSpacing()[0]);
+ SetParameterFloat("outputs.uly",genericRSEstimator->GetOutputOrigin()[1] - 0.5 * genericRSEstimator->GetOutputSpacing()[1]);
// Update lower right
- SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")), false);
- SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")), false);
+ SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")));
+ SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")));
}
break;
case Mode_AutomaticSpacing:
@@ -436,16 +436,16 @@ private:
genericRSEstimator->Compute();
// Set the processed spacing relative to this forced size
- SetParameterFloat("outputs.spacingx",genericRSEstimator->GetOutputSpacing()[0], false);
- SetParameterFloat("outputs.spacingy",genericRSEstimator->GetOutputSpacing()[1], false);
+ SetParameterFloat("outputs.spacingx",genericRSEstimator->GetOutputSpacing()[0]);
+ SetParameterFloat("outputs.spacingy",genericRSEstimator->GetOutputSpacing()[1]);
// Reset Origin to default
- SetParameterFloat("outputs.ulx",genericRSEstimator->GetOutputOrigin()[0] - 0.5 * genericRSEstimator->GetOutputSpacing()[0], false);
- SetParameterFloat("outputs.uly",genericRSEstimator->GetOutputOrigin()[1] - 0.5 * genericRSEstimator->GetOutputSpacing()[1], false);
+ SetParameterFloat("outputs.ulx",genericRSEstimator->GetOutputOrigin()[0] - 0.5 * genericRSEstimator->GetOutputSpacing()[0]);
+ SetParameterFloat("outputs.uly",genericRSEstimator->GetOutputOrigin()[1] - 0.5 * genericRSEstimator->GetOutputSpacing()[1]);
// Update lower right
- SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")), false);
- SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")), false);
+ SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")));
+ SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")));
}
break;
@@ -489,9 +489,9 @@ private:
// Set the processed size relative to this forced spacing
if (vcl_abs(spacing[0]) > 0.0)
- SetParameterInt("outputs.sizex",static_cast<int>(vcl_ceil((GetParameterFloat("outputs.lrx")-GetParameterFloat("outputs.ulx"))/spacing[0])), false);
+ SetParameterInt("outputs.sizex",static_cast<int>(vcl_ceil((GetParameterFloat("outputs.lrx")-GetParameterFloat("outputs.ulx"))/spacing[0])));
if (vcl_abs(spacing[1]) > 0.0)
- SetParameterInt("outputs.sizey",static_cast<int>(vcl_ceil((GetParameterFloat("outputs.lry")-GetParameterFloat("outputs.uly"))/spacing[1])), false);
+ SetParameterInt("outputs.sizey",static_cast<int>(vcl_ceil((GetParameterFloat("outputs.lry")-GetParameterFloat("outputs.uly"))/spacing[1])));
}
break;
case Mode_OrthoFit:
@@ -541,11 +541,11 @@ private:
SetParameterInt("outputs.sizey",size[1]);
SetParameterFloat("outputs.spacingx",spacing[0]);
SetParameterFloat("outputs.spacingy",spacing[1]);
- SetParameterFloat("outputs.ulx",orig[0] - 0.5 * spacing[0], false);
- SetParameterFloat("outputs.uly",orig[1] - 0.5 * spacing[1], false);
+ SetParameterFloat("outputs.ulx",orig[0] - 0.5 * spacing[0]);
+ SetParameterFloat("outputs.uly",orig[1] - 0.5 * spacing[1]);
// Update lower right
- SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")), false);
- SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")), false);
+ SetParameterFloat("outputs.lrx",GetParameterFloat("outputs.ulx") + GetParameterFloat("outputs.spacingx") * static_cast<double>(GetParameterInt("outputs.sizex")));
+ SetParameterFloat("outputs.lry",GetParameterFloat("outputs.uly") + GetParameterFloat("outputs.spacingy") * static_cast<double>(GetParameterInt("outputs.sizey")));
}
}
break;
@@ -591,11 +591,11 @@ private:
// Use the smallest spacing (more precise grid)
double optimalSpacing = std::min( vcl_abs(xgridspacing), vcl_abs(ygridspacing) );
otbAppLogINFO( "Setting grid spacing to " << optimalSpacing );
- SetParameterFloat("opt.gridspacing",optimalSpacing, false);
+ SetParameterFloat("opt.gridspacing",optimalSpacing);
}
else // if (m_OutputProjectionRef == otb::GeoInformationConversion::ToWKT(4326))
{
- SetParameterFloat("opt.gridspacing",DefaultGridSpacingMeter, false);
+ SetParameterFloat("opt.gridspacing",DefaultGridSpacingMeter);
} // if (m_OutputProjectionRef == otb::GeoInformationConversion::ToWKT(4326))
} // if (!HasUserValue("opt.gridspacing"))
} // if (HasValue("io.in"))
diff --git a/Modules/Applications/AppProjection/app/otbRigidTransformResample.cxx b/Modules/Applications/AppProjection/app/otbRigidTransformResample.cxx
index 7b6da7d245c8e9b2d37f7191e56867903a2a76af..01a9d01124657247bdc64c8933b6047c4cf68bd4 100644
--- a/Modules/Applications/AppProjection/app/otbRigidTransformResample.cxx
+++ b/Modules/Applications/AppProjection/app/otbRigidTransformResample.cxx
@@ -159,7 +159,7 @@ private:
AddParameter(ParameterType_Radius, "interpolator.bco.radius", "Radius for bicubic interpolation");
SetParameterDescription("interpolator.bco.radius","This parameter allows controlling the size of the bicubic interpolation filter. If the target pixel size is higher than the input pixel size, increasing this parameter will reduce aliasing artifacts.");
SetDefaultParameterInt("interpolator.bco.radius", 2);
- SetParameterString("interpolator","bco", false);
+ SetParameterString("interpolator","bco");
// RAM available
AddRAMParameter("ram");
diff --git a/Modules/Applications/AppProjection/app/otbSuperimpose.cxx b/Modules/Applications/AppProjection/app/otbSuperimpose.cxx
index 1d1018e8fc74a755fa8b425a86369e4c0afc7d22..2f5786587b999d404edf1f2a82f20dd59ab5fd29 100644
--- a/Modules/Applications/AppProjection/app/otbSuperimpose.cxx
+++ b/Modules/Applications/AppProjection/app/otbSuperimpose.cxx
@@ -164,7 +164,7 @@ private:
if(!HasUserValue("mode") && HasValue("inr") && HasValue("inm") && otb::PleiadesPToXSAffineTransformCalculator::CanCompute(GetParameterImage("inr"),GetParameterImage("inm")))
{
otbAppLogWARNING("Forcing PHR mode with PHR data. You need to add \"-mode default\" to force the default mode with PHR images.");
- SetParameterString("mode","phr", false);
+ SetParameterString("mode","phr");
}
}
diff --git a/Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx b/Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx
index 48dd57c2ad75d5f31c5eddd08ff606239f7aaa2a..7588f4eb873b073f9c101ce568b1c6c0c941ba67 100644
--- a/Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx
+++ b/Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx
@@ -297,10 +297,10 @@ private:
m_InstanceFilter->Update();
- SetParameterFloat("rc",m_InstanceFilter->GetMeanRC(), false);
- SetParameterFloat("rf",m_InstanceFilter->GetMeanRF(), false);
- SetParameterFloat("ra",m_InstanceFilter->GetMeanRA(), false);
- SetParameterFloat("rm",m_InstanceFilter->GetMeanRM(), false);
+ SetParameterFloat("rc",m_InstanceFilter->GetMeanRC());
+ SetParameterFloat("rf",m_InstanceFilter->GetMeanRF());
+ SetParameterFloat("ra",m_InstanceFilter->GetMeanRA());
+ SetParameterFloat("rm",m_InstanceFilter->GetMeanRM());
}
ImageToLabelMapFilterType::Pointer m_GTFilter;
diff --git a/Modules/Applications/AppSegmentation/app/otbSegmentation.cxx b/Modules/Applications/AppSegmentation/app/otbSegmentation.cxx
index 5b3bfd2361f211e9dccf19b383542596fd1b994a..059ed278aef2765f190071be6886027171968ba2 100644
--- a/Modules/Applications/AppSegmentation/app/otbSegmentation.cxx
+++ b/Modules/Applications/AppSegmentation/app/otbSegmentation.cxx
@@ -311,11 +311,11 @@ private:
AddParameter(ParameterType_String, "mode.vector.layername", "Layer name");
SetParameterDescription("mode.vector.layername", "Name of the layer in the vector file or database (default is Layer).");
- SetParameterString("mode.vector.layername", "layer", false);
+ SetParameterString("mode.vector.layername", "layer");
AddParameter(ParameterType_String, "mode.vector.fieldname", "Geometry index field name");
SetParameterDescription("mode.vector.fieldname", "Name of the field holding the geometry index in the output vector file or database.");
- SetParameterString("mode.vector.fieldname", "DN", false);
+ SetParameterString("mode.vector.fieldname", "DN");
AddParameter(ParameterType_Int, "mode.vector.tilesize", "Tiles size");
SetParameterDescription("mode.vector.tilesize",
diff --git a/Modules/Applications/AppStereo/app/otbStereoFramework.cxx b/Modules/Applications/AppStereo/app/otbStereoFramework.cxx
index 279c09ad2f9734bf45a95cb612408edb36efb8b8..a4f3705d585e54ed7e4a9c9272d174c154898ccd 100644
--- a/Modules/Applications/AppStereo/app/otbStereoFramework.cxx
+++ b/Modules/Applications/AppStereo/app/otbStereoFramework.cxx
@@ -368,7 +368,7 @@ private:
"first and second image, a second couple with third and fourth image etc."
" (in this case image list must be even).");
MandatoryOff("input.co");
- SetParameterString("input.co","", false);
+ SetParameterString("input.co","");
DisableParameter("input.co");
AddParameter(ParameterType_Int, "input.channel", "Input Image channel");
@@ -385,7 +385,7 @@ private:
// // Build the Output Map Projection
// for custom map projection
MapProjectionParametersHandler::AddMapProjectionParameters(this, "map");
- SetParameterString("map","wgs", false);
+ SetParameterString("map","wgs");
AddParameter(ParameterType_Float, "output.res","Output resolution");
SetParameterDescription("output.res","Spatial sampling distance of the output elevation : the cell size (in m)");
diff --git a/Modules/Applications/AppVectorDataTranslation/app/otbRasterization.cxx b/Modules/Applications/AppVectorDataTranslation/app/otbRasterization.cxx
index 748d8f27be36f75205398bcbf7114b4b66343856..9ddef6c295fc4d12a2d60cbeeef7e1242c73be61 100644
--- a/Modules/Applications/AppVectorDataTranslation/app/otbRasterization.cxx
+++ b/Modules/Applications/AppVectorDataTranslation/app/otbRasterization.cxx
@@ -132,7 +132,7 @@ private:
AddParameter(ParameterType_String,"mode.attribute.field","The attribute field to burn");
SetParameterDescription("mode.attribute.field","Name of the attribute field to burn");
- SetParameterString("mode.attribute.field","DN", false);
+ SetParameterString("mode.attribute.field","DN");
AddRAMParameter();