SOLVED: I was simply omitting the SetMeasurementVectorSize()
Sorry
Le samedi 29 avril 2017 21:50:43 UTC+2, Julien Radoux a écrit :
>
> 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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