Hello,
I am trying to build my own filter machine lerning training with a specific
sampling method. I've tried o start with an example, butI am no able to
make it work. It is probably just missing one line to set the size of the
measurement vector of the ListSample, but I don't fin it. Any one has an
idea ?
Error message (compile is OK)
test 6 on 6
test 0 for 0.04172 on 6
test 1 for 0.0577576 on 6
test 2 for 0.0816327 on 6
test 3 for 0.138198 on 6
test 4 for 0.124274 on 6
test 5 for 0.0801539 on 6
test target on 1
terminate called after throwing an instance of 'itk::ExceptionObject'
what(): /home/tom/libs/OTB/install/include/ITK-4.8/itkListSample.hxx:56:
itk::ERROR: ListSample(0x16edfb0): MeasurementVectorSize: 0 doesn't match
input measurement vector length: 6
Aborted
code :
//vector of floats as input
typedef float InputValueType;
typedef itk::VariableLengthVector<InputValueType>
InputSampleType;
//typedef itk::FixedArray<InputValueType, 6> InputSampleType;
typedef itk::Statistics::ListSample<InputSampleType>
InputListSampleType;
// Target related typedefs
typedef int TargetValueType;
typedef itk::FixedArray<TargetValueType, 1> TargetSampleType;
typedef itk::Statistics::ListSample<TargetSampleType>
TargetListSampleType;
InputListSampleType::Pointer InputListSample =
InputListSampleType::New();
InputListSample.MeasurementVectorSize = 0;
TargetListSampleType::Pointer TargetListSample =
TargetListSampleType::New();
int sizePixel =
inputReader->GetOutput()->GetNumberOfComponentsPerPixel(); // the vector
must have the size of the vector image that will be classified
for (int i(0); i<nbClasses; i++)
{
if (lMatrix[i].rows()>1)
{
// Filling the two input training lists
for (int j = 0; j < lMatrix[i].rows(); ++j)
{
InputSampleType sample;
sample.SetSize(sizePixel);
TargetValueType label = i + 1;
// Multi-component sample filled based on matrix
std::cout<< "test " << lMatrix[i].columns() << " on "
<< sizePixel << std::endl;
for (int k = 0; k < lMatrix[i].columns(); k++)
{
sample[k] = lMatrix[i].get(j,k);
std::cout<< "test " << k << " for " << sample[k] <<
" on " << sizePixel << std::endl;
}
TargetListSample->PushBack(label);
std::cout<< "test target on " << label << std::endl;
InputListSample->PushBack(sample); // THIS IS WHERE I
GET THE ERROR
}
}
}
std::cout<<" RF learning step"<<std::endl;
typedef otb::RandomForestsMachineLearningModel<InputValueType,
TargetValueType> RFType;
RFType::Pointer RFEstimator = RFType::New();
RFEstimator->SetInputListSample(InputListSample);
RFEstimator->SetTargetListSample(TargetListSample);
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