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Commit 6aed19c6 authored by Julien Michel's avatar Julien Michel
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Mise en commentaire des logs trop verbeux, et passage des otbMsgDevMacro en otbMsgDebugMacro.

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Code/Learning/otbSVMClassifier.txx
+ 31
− 31
View file @ 6aed19c6
...@@ -57,13 +57,13 @@ SVMClassifier< TSample, TLabel > ...@@ -57,13 +57,13 @@ SVMClassifier< TSample, TLabel >
// SVMClassifier< TSample, TLabel > // SVMClassifier< TSample, TLabel >
// ::SetSample(const TSample* sample) // ::SetSample(const TSample* sample)
// { // {
// otbMsgDevMacro( << "SVMClassifier::SetSample enter" ); // otbMsgDebugMacro( << "SVMClassifier::SetSample enter" );
// if ( m_Sample != sample ) // if ( m_Sample != sample )
// { // {
// m_Sample = sample ; // m_Sample = sample ;
// m_Output->SetSample(sample) ; // m_Output->SetSample(sample) ;
// } // }
// otbMsgDevMacro( << "SVMClassifier::SetSample exit" ); // otbMsgDebugMacro( << "SVMClassifier::SetSample exit" );
// } // }
// template< class TSample, class TLabel > // template< class TSample, class TLabel >
...@@ -100,25 +100,25 @@ SVMClassifier< TSample, TLabel > ...@@ -100,25 +100,25 @@ SVMClassifier< TSample, TLabel >
{ {
otbMsgDevMacro( << "Before Resize 0" ); // otbMsgDebugMacro( << "Before Resize 0" );
/* unsigned int i ; /* unsigned int i ;
typename TSample::ConstIterator iter = this->GetSample()->Begin() ; typename TSample::ConstIterator iter = this->GetSample()->Begin() ;
typename TSample::ConstIterator end = this->GetSample()->End() ; typename TSample::ConstIterator end = this->GetSample()->End() ;
typename TSample::MeasurementVectorType measurements ; typename TSample::MeasurementVectorType measurements ;
*/ */
otbMsgDevMacro( << "Before Resize " ); // otbMsgDebugMacro( << "Before Resize " );
m_Output->SetSample(this->GetSample()) ; m_Output->SetSample(this->GetSample()) ;
otbMsgDevMacro( << "m_Output " << m_Output ); otbMsgDebugMacro( << "m_Output " << m_Output );
m_Output->Resize( this->GetSample()->Size() ) ; m_Output->Resize( this->GetSample()->Size() ) ;
otbMsgDevMacro( << "Resize to " << this->GetSample()->Size() ); otbMsgDebugMacro( << "Resize to " << this->GetSample()->Size() );
otbMsgDevMacro( << "Resize to " << m_Output->GetSample()->Size() ); otbMsgDebugMacro( << "Resize to " << m_Output->GetSample()->Size() );
//std::vector< double > discriminantScores ; //std::vector< double > discriminantScores ;
unsigned int numberOfClasses = this->GetNumberOfClasses() ; unsigned int numberOfClasses = this->GetNumberOfClasses() ;
otbMsgDevMacro( << "NbClass " << numberOfClasses ); otbMsgDebugMacro( << "NbClass " << numberOfClasses );
//discriminantScores.resize(numberOfClasses) ; //discriminantScores.resize(numberOfClasses) ;
//unsigned int classLabel ; //unsigned int classLabel ;
...@@ -128,9 +128,9 @@ SVMClassifier< TSample, TLabel > ...@@ -128,9 +128,9 @@ SVMClassifier< TSample, TLabel >
/*typename Superclass::DecisionRuleType::Pointer rule = /*typename Superclass::DecisionRuleType::Pointer rule =
this->GetDecisionRule() ;*/ this->GetDecisionRule() ;*/
otbMsgDevMacro( << "Do Classif " ); otbMsgDebugMacro( << "Do Classif " );
this->DoClassification(); this->DoClassification();
otbMsgDevMacro( << "End of classif" ); otbMsgDebugMacro( << "End of classif" );
// if ( m_ClassLabels.size() != this->GetNumberOfMembershipFunctions() ) // if ( m_ClassLabels.size() != this->GetNumberOfMembershipFunctions() )
// { // {
...@@ -203,7 +203,7 @@ SVMClassifier< TSample, TLabel > ...@@ -203,7 +203,7 @@ SVMClassifier< TSample, TLabel >
x = new svm_node[numberOfComponentsPerSample+1];//m_Model->GetXSpace(); x = new svm_node[numberOfComponentsPerSample+1];//m_Model->GetXSpace();
otbMsgDevMacro( << "XSpace Allocated" ); otbMsgDebugMacro( << "XSpace Allocated" );
if(svm_check_probability_model(model)==0) if(svm_check_probability_model(model)==0)
{ {
throw itk::ExceptionObject(__FILE__, __LINE__, throw itk::ExceptionObject(__FILE__, __LINE__,
...@@ -212,10 +212,10 @@ SVMClassifier< TSample, TLabel > ...@@ -212,10 +212,10 @@ SVMClassifier< TSample, TLabel >
} }
int svm_type=svm_get_svm_type(model); int svm_type=svm_get_svm_type(model);
otbMsgDevMacro( << "SVM Type = " << svm_type ); otbMsgDebugMacro( << "SVM Type = " << svm_type );
int nr_class=svm_get_nr_class(model); int nr_class=svm_get_nr_class(model);
otbMsgDevMacro( << "SVM nr_class = " << nr_class ); otbMsgDebugMacro( << "SVM nr_class = " << nr_class );
int *labels=(int *) malloc(nr_class*sizeof(int)); int *labels=(int *) malloc(nr_class*sizeof(int));
double *prob_estimates=NULL; double *prob_estimates=NULL;
...@@ -238,7 +238,7 @@ SVMClassifier< TSample, TLabel > ...@@ -238,7 +238,7 @@ SVMClassifier< TSample, TLabel >
} }
// while(1) // while(1)
otbMsgDevMacro( << "Starting iterations " ); otbMsgDebugMacro( << "Starting iterations " );
while (iter != end && iterO != endO) while (iter != end && iterO != endO)
{ {
...@@ -273,28 +273,28 @@ SVMClassifier< TSample, TLabel > ...@@ -273,28 +273,28 @@ SVMClassifier< TSample, TLabel >
measurements = iter.GetMeasurementVector() ; measurements = iter.GetMeasurementVector() ;
otbMsgDevMacro( << "Loop on components " << svm_type ); // otbMsgDebugMacro( << "Loop on components " << svm_type );
for(i=0; i<numberOfComponentsPerSample; i++) for(i=0; i<numberOfComponentsPerSample; i++)
{ {
otbMsgDevMacro( << i << " " << measurements[i] ); // otbMsgDebugMacro( << i << " " << measurements[i] );
otbMsgDevMacro( << "Index "<< x[i].index ); // otbMsgDebugMacro( << "Index "<< x[i].index );
otbMsgDevMacro( << "Value "<< x[i].value ); // otbMsgDebugMacro( << "Value "<< x[i].value );
x[i].index = i+1 ; x[i].index = i+1 ;
x[i].value = measurements[i]; x[i].value = measurements[i];
otbMsgDevMacro( << "Index "<< x[i].index ); // otbMsgDebugMacro( << "Index "<< x[i].index );
otbMsgDevMacro( << "Value "<< x[i].value ); // otbMsgDebugMacro( << "Value "<< x[i].value );
otbMsgDevMacro( << "-------------------" ); // otbMsgDebugMacro( << "-------------------" );
} }
otbMsgDevMacro( << "Starting prediction" ); // otbMsgDebugMacro( << "Starting prediction" );
if (predict_probability && (svm_type==C_SVC || svm_type==NU_SVC)) if (predict_probability && (svm_type==C_SVC || svm_type==NU_SVC))
{ {
otbMsgDevMacro( << "With predict" ); // otbMsgDebugMacro( << "With predict" );
v = svm_predict_probability(model,x,prob_estimates); v = svm_predict_probability(model,x,prob_estimates);
otbMsgDevMacro( << "Value : " << v ); // otbMsgDebugMacro( << "Value : " << v );
/*fprintf(output,"%g ",v); /*fprintf(output,"%g ",v);
for(j=0;j<nr_class;j++) for(j=0;j<nr_class;j++)
fprintf(output,"%g ",prob_estimates[j]); fprintf(output,"%g ",prob_estimates[j]);
...@@ -302,9 +302,9 @@ SVMClassifier< TSample, TLabel > ...@@ -302,9 +302,9 @@ SVMClassifier< TSample, TLabel >
} }
else else
{ {
otbMsgDevMacro( << "Without predict" ); // otbMsgDebugMacro( << "Without predict" );
v = svm_predict(model,x); v = svm_predict(model,x);
otbMsgDevMacro( << "Value : " << v ); // otbMsgDebugMacro( << "Value : " << v );
//fprintf(output,"%g\n",v); //fprintf(output,"%g\n",v);
} }
...@@ -315,24 +315,24 @@ SVMClassifier< TSample, TLabel > ...@@ -315,24 +315,24 @@ SVMClassifier< TSample, TLabel >
// else // else
classLabel = static_cast<ClassLabelType>(v); classLabel = static_cast<ClassLabelType>(v);
otbMsgDevMacro( << "Add instance " << classLabel ); // otbMsgDebugMacro( << "Add instance " << classLabel );
otbMsgDevMacro( << "Add instance ident " << iterO.GetInstanceIdentifier() ); // otbMsgDebugMacro( << "Add instance ident " << iterO.GetInstanceIdentifier() );
m_Output->AddInstance(classLabel, iterO.GetInstanceIdentifier()) ; m_Output->AddInstance(classLabel, iterO.GetInstanceIdentifier()) ;
otbMsgDevMacro( << "After add instance " << iterO.GetClassLabel() ); // otbMsgDebugMacro( << "After add instance " << iterO.GetClassLabel() );
++iter; ++iter;
++iterO; ++iterO;
} }
otbMsgDevMacro( << "End of iterations " ); // otbMsgDebugMacro( << "End of iterations " );
if(predict_probability) if(predict_probability)
{ {
free(prob_estimates); free(prob_estimates);
free(labels); free(labels);
} }
otbMsgDevMacro( << "End of iterations and free" ); // otbMsgDebugMacro( << "End of iterations and free" );
// free(x); // free(x);
delete [] x; delete [] x;
......
Code/Learning/otbSVMImageModelEstimator.txx
+ 1
− 1
View file @ 6aed19c6
...@@ -153,7 +153,7 @@ SVMImageModelEstimator<TInputImage, TTrainingImage> ...@@ -153,7 +153,7 @@ SVMImageModelEstimator<TInputImage, TTrainingImage>
unsigned int numberOfComponents = inIt.Get().Size(); unsigned int numberOfComponents = inIt.Get().Size();
otbMsgDevMacro( << " Before while " ); // otbMsgDevMacro( << " Before while " );
while(!inIt.IsAtEnd() && !trIt.IsAtEnd()) while(!inIt.IsAtEnd() && !trIt.IsAtEnd())
{ {
......
Code/Learning/otbSVMModel.txx
+ 20
− 20
View file @ 6aed19c6
...@@ -36,7 +36,7 @@ SVMModel< TInputPixel, TLabel >::SVMModel() ...@@ -36,7 +36,7 @@ SVMModel< TInputPixel, TLabel >::SVMModel()
m_Model = Malloc(svm_model,1); m_Model = Malloc(svm_model,1);
m_Problem.l = 0; m_Problem.l = 0;
otbMsgDevMacro( << "SVMModel::SVMModel - m_Problem.l = " << m_Problem.l ); otbMsgDebugMacro( << "SVMModel::SVMModel - m_Problem.l = " << m_Problem.l );
m_Problem.y = new double[1]; m_Problem.y = new double[1];
m_Problem.x = new struct svm_node*[1]; m_Problem.x = new struct svm_node*[1];
x_space = new struct svm_node[1]; x_space = new struct svm_node[1];
...@@ -49,15 +49,15 @@ template <class TInputPixel, class TLabel > ...@@ -49,15 +49,15 @@ template <class TInputPixel, class TLabel >
SVMModel<TInputPixel, TLabel>::~SVMModel() SVMModel<TInputPixel, TLabel>::~SVMModel()
{ {
// FIXME: pbs. when deleting de problem .... // FIXME: pbs. when deleting de problem ....
otbMsgDevMacro( << "SVMModel destructor" ); otbMsgDebugMacro( << "SVMModel destructor" );
/* /*
delete [] m_Problem.y;//free(m_Problem.y); delete [] m_Problem.y;//free(m_Problem.y);
otbMsgDevMacro( << "SVMModel destructor - y done" ); otbMsgDebugMacro( << "SVMModel destructor - y done" );
delete [] m_Problem.x; //free(m_Problem.x); delete [] m_Problem.x; //free(m_Problem.x);
otbMsgDevMacro( << "SVMModel destructor - x done" ); otbMsgDebugMacro( << "SVMModel destructor - x done" );
delete [] x_space;// delete [] x_space;//
otbMsgDevMacro( << "SVMModel destructor - x_space done" ); otbMsgDebugMacro( << "SVMModel destructor - x_space done" );
//free(x_space); //free(x_space);
*/ */
...@@ -71,24 +71,24 @@ void ...@@ -71,24 +71,24 @@ void
SVMModel<TInputPixel, TLabel> SVMModel<TInputPixel, TLabel>
::AllocateProblem(int l, long int elements) ::AllocateProblem(int l, long int elements)
{ {
otbMsgDevMacro( << "SVMModel::AllocateProblem - enter" ); otbMsgDebugMacro( << "SVMModel::AllocateProblem - enter" );
otbMsgDevMacro( << "SVMModel::AllocateProblem - l = " << l ); otbMsgDebugMacro( << "SVMModel::AllocateProblem - l = " << l );
otbMsgDevMacro( << "SVMModel::AllocateProblem - elements = " << elements ); otbMsgDebugMacro( << "SVMModel::AllocateProblem - elements = " << elements );
otbMsgDevMacro( << "SVMModel::AllocateProblem - m_Problem.l = " << m_Problem.l ); otbMsgDebugMacro( << "SVMModel::AllocateProblem - m_Problem.l = " << m_Problem.l );
m_Problem.l = l; m_Problem.l = l;
otbMsgDevMacro( << "SVMModel::AllocateProblem - m_Problem.l = " << m_Problem.l ); otbMsgDebugMacro( << "SVMModel::AllocateProblem - m_Problem.l = " << m_Problem.l );
otbMsgDevMacro( << "SVMModel::AllocateProblem - l done" ); otbMsgDebugMacro( << "SVMModel::AllocateProblem - l done" );
delete [] m_Problem.y; delete [] m_Problem.y;
m_Problem.y = new double[l];//Malloc(double,l); m_Problem.y = new double[l];//Malloc(double,l);
otbMsgDevMacro( << "SVMModel::AllocateProblem - y done" ); otbMsgDebugMacro( << "SVMModel::AllocateProblem - y done" );
delete [] m_Problem.x; delete [] m_Problem.x;
m_Problem.x = new struct svm_node*[l];//Malloc(struct svm_node* ,l); m_Problem.x = new struct svm_node*[l];//Malloc(struct svm_node* ,l);
otbMsgDevMacro( << "SVMModel::AllocateProblem - x done" ); otbMsgDebugMacro( << "SVMModel::AllocateProblem - x done" );
delete [] x_space; delete [] x_space;
x_space = new struct svm_node[elements]; x_space = new struct svm_node[elements];
//free(x_space); //free(x_space);
//x_space = Malloc(struct svm_node,elements); //x_space = Malloc(struct svm_node,elements);
//otbMsgDevMacro( << "SVMModel::AllocateProblem - x_space done" ); //otbMsgDebugMacro( << "SVMModel::AllocateProblem - x_space done" );
} }
...@@ -98,11 +98,11 @@ void ...@@ -98,11 +98,11 @@ void
SVMModel<TInputPixel, TLabel> SVMModel<TInputPixel, TLabel>
::SetModel(struct svm_model* aModel) ::SetModel(struct svm_model* aModel)
{ {
otbMsgDevMacro( << "SVMModel::SetModel - enter"); otbMsgDebugMacro( << "SVMModel::SetModel - enter");
//svm_destroy_model(m_Model); //svm_destroy_model(m_Model);
otbMsgDevMacro( << "SVMModel::SetModel - destroyed" ); otbMsgDebugMacro( << "SVMModel::SetModel - destroyed" );
m_Model = aModel; m_Model = aModel;
otbMsgDevMacro( << "SVMModel::SetModel - out" ); otbMsgDebugMacro( << "SVMModel::SetModel - out" );
} }
...@@ -113,14 +113,14 @@ SVMModel<TInputPixel, TLabel> ...@@ -113,14 +113,14 @@ SVMModel<TInputPixel, TLabel>
{ {
return m_Problem; return m_Problem;
// otbMsgDevMacro( << "SVMModel::GetProblem - enter" ); // otbMsgDebugMacro( << "SVMModel::GetProblem - enter" );
// aProblem.l = m_Problem.l; // aProblem.l = m_Problem.l;
// aProblem.y = m_Problem.y; // aProblem.y = m_Problem.y;
// aProblem.x = m_Problem.x; // aProblem.x = m_Problem.x;
// otbMsgDevMacro( << "SVMModel::GetProblem - x_space " << x_space ); // otbMsgDebugMacro( << "SVMModel::GetProblem - x_space " << x_space );
// // aNode = x_space; // // aNode = x_space;
// otbMsgDevMacro( << "SVMModel::GetProblem - out" ); // otbMsgDebugMacro( << "SVMModel::GetProblem - out" );
// return x_space; // return x_space;
} }
......
Code/Learning/otbSVMModelEstimator.txx
+ 17
− 18
View file @ 6aed19c6
...@@ -135,16 +135,16 @@ SVMModelEstimator<InputPixelType, LabelPixelType> ...@@ -135,16 +135,16 @@ SVMModelEstimator<InputPixelType, LabelPixelType>
throw itk::ExceptionObject(__FILE__, __LINE__,error_msg,ITK_LOCATION); throw itk::ExceptionObject(__FILE__, __LINE__,error_msg,ITK_LOCATION);
} }
otbMsgDevMacro( << "Starting training" ); otbMsgDebugMacro( << "Starting training" );
svm_model* tempModel = svm_train(&prob,&param); svm_model* tempModel = svm_train(&prob,&param);
otbMsgDevMacro( << "Training done" ); otbMsgDebugMacro( << "Training done" );
m_Model->SetModel(tempModel); m_Model->SetModel(tempModel);
m_Model->SetNumberOfClasses( this->GetNumberOfClasses() ); m_Model->SetNumberOfClasses( this->GetNumberOfClasses() );
otbMsgDevMacro( << "Training done" ); otbMsgDebugMacro( << "Training done" );
}// end train classifier }// end train classifier
...@@ -170,10 +170,9 @@ SVMModelEstimator< InputPixelType, LabelPixelType > ...@@ -170,10 +170,9 @@ SVMModelEstimator< InputPixelType, LabelPixelType >
prob = m_Model->GetProblem(); prob = m_Model->GetProblem();
x_space = m_Model->GetXSpace(); x_space = m_Model->GetXSpace();
otbMsgDevMacro( << "x_space " << x_space ); otbMsgDebugMacro( << "x_space " << x_space );
otbMsgDebugMacro( << "prob = " << &prob );
otbMsgDevMacro( << "prob = " << &prob ); otbMsgDebugMacro( << "prob.l = " << prob.l );
otbMsgDevMacro( << "prob.l = " << prob.l );
long int j=0; long int j=0;
long int i=0; long int i=0;
...@@ -185,19 +184,19 @@ SVMModelEstimator< InputPixelType, LabelPixelType > ...@@ -185,19 +184,19 @@ SVMModelEstimator< InputPixelType, LabelPixelType >
typename TrainingLabelsType::iterator labelsEnd = m_Labels.end(); typename TrainingLabelsType::iterator labelsEnd = m_Labels.end();
otbMsgDevMacro( << " Before while " ); // otbMsgDebugMacro( << " Before while " );
while(measIt!=measEnd && labelsIt!=labelsEnd) while(measIt!=measEnd && labelsIt!=labelsEnd)
{ {
double label = static_cast<double>(*labelsIt); double label = static_cast<double>(*labelsIt);
otbMsgDevMacro( << label ); // otbMsgDebugMacro( << label );
otbMsgDevMacro( << prob.x[i] ); // otbMsgDebugMacro( << prob.x[i] );
otbMsgDevMacro( << prob.y[i] ); // otbMsgDebugMacro( << prob.y[i] );
otbMsgDevMacro( << &x_space[j] ); // otbMsgDebugMacro( << &x_space[j] );
prob.x[i] = &x_space[j]; prob.x[i] = &x_space[j];
prob.y[i] = label; prob.y[i] = label;
otbMsgDevMacro( << "Label " << label << " " << i <<"/" << probl); // otbMsgDebugMacro( << "Label " << label << " " << i <<"/" << probl);
typename MeasurementVectorType::iterator compIt = (*measIt).begin(); typename MeasurementVectorType::iterator compIt = (*measIt).begin();
typename MeasurementVectorType::iterator compEnd = (*measIt).end(); typename MeasurementVectorType::iterator compEnd = (*measIt).end();
...@@ -206,12 +205,12 @@ SVMModelEstimator< InputPixelType, LabelPixelType > ...@@ -206,12 +205,12 @@ SVMModelEstimator< InputPixelType, LabelPixelType >
while(compIt!=compEnd) while(compIt!=compEnd)
{ {
otbMsgDevMacro( << "Index " << x_space[j].index ); // otbMsgDebugMacro( << "Index " << x_space[j].index );
otbMsgDevMacro( << "Value " << x_space[j].value ); // otbMsgDebugMacro( << "Value " << x_space[j].value );
x_space[j].index = k+1; x_space[j].index = k+1;
x_space[j].value = (*compIt); x_space[j].value = (*compIt);
otbMsgDevMacro( << x_space[j].index << ":" << x_space[j].value << " " << "j: " << j << " " ); // otbMsgDebugMacro( << x_space[j].index << ":" << x_space[j].value << " " << "j: " << j << " " );
++j; ++j;
++k; ++k;
++compIt; ++compIt;
...@@ -219,7 +218,7 @@ SVMModelEstimator< InputPixelType, LabelPixelType > ...@@ -219,7 +218,7 @@ SVMModelEstimator< InputPixelType, LabelPixelType >
if(j>=1 && x_space[j-1].index > max_index) if(j>=1 && x_space[j-1].index > max_index)
max_index = x_space[j-1].index; max_index = x_space[j-1].index;
x_space[j++].index = -1; x_space[j++].index = -1;
// otbMsgDevMacro( " " ); // otbMsgDebugMacro( " " );
++i; ++i;
++measIt; ++measIt;
...@@ -228,7 +227,7 @@ SVMModelEstimator< InputPixelType, LabelPixelType > ...@@ -228,7 +227,7 @@ SVMModelEstimator< InputPixelType, LabelPixelType >
} }
otbMsgDevMacro( << "Processed " << i << " examples" ); otbMsgDebugMacro( << "Processed " << i << " examples" );
if(param.gamma == 0) if(param.gamma == 0)
param.gamma = 1.0/max_index; param.gamma = 1.0/max_index;
......
Code/Learning/otbSVMSampleListModelEstimator.txx
+ 6
− 6
View file @ 6aed19c6
...@@ -107,11 +107,11 @@ SVMSampleListModelEstimator<TInputSampleList, TTrainingSampleList> ...@@ -107,11 +107,11 @@ SVMSampleListModelEstimator<TInputSampleList, TTrainingSampleList>
this->m_Labels.resize(0); this->m_Labels.resize(0);
otbMsgDevMacro( << " Input nb points " << inputSampleListSize ); otbMsgDebugMacro( << " Input nb points " << inputSampleListSize );
otbMsgDevMacro( << " Training nb points " << trainingSampleListSize ); otbMsgDebugMacro( << " Training nb points " << trainingSampleListSize );
otbMsgDevMacro( << " Before while " ); // otbMsgDebugMacro( << " Before while " );
while(inIt!=inEnd && trIt!=trEnd) while(inIt!=inEnd && trIt!=trEnd)
{ {
...@@ -123,7 +123,7 @@ SVMSampleListModelEstimator<TInputSampleList, TTrainingSampleList> ...@@ -123,7 +123,7 @@ SVMSampleListModelEstimator<TInputSampleList, TTrainingSampleList>
this->m_Labels.push_back(label); this->m_Labels.push_back(label);
otbMsgDevMacro( << " Label " << label ); // otbMsgDebugMacro( << " Label " << label );
typename TInputSampleList::MeasurementVectorType value = typename TInputSampleList::MeasurementVectorType value =
inIt.GetMeasurementVector(); inIt.GetMeasurementVector();
...@@ -145,9 +145,9 @@ SVMSampleListModelEstimator<TInputSampleList, TTrainingSampleList> ...@@ -145,9 +145,9 @@ SVMSampleListModelEstimator<TInputSampleList, TTrainingSampleList>
++trIt; ++trIt;
} }
otbMsgDevMacro( << " Before prepare data " ); // otbMsgDebugMacro( << " Before prepare data " );
this->PrepareData(); this->PrepareData();
otbMsgDevMacro( << " After prepare data " ); // otbMsgDebugMacro( << " After prepare data " );
} }
......
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