/usr/include/OTB-6.4/otbSVMMarginSampler.h is in libotb-dev 6.4.0+dfsg-1.
This file is owned by root:root, with mode 0o644.
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* Copyright (C) 2005-2017 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef otbSVMMarginSampler_h
#define otbSVMMarginSampler_h
#include "itkSampleClassifierFilter.h"
#include "itkVectorImage.h"
namespace otb
{
/** \class SVMMarginSampler
* \brief Implement one iteration of active learning by margin
* \ingroup ActiveLearningFilters
*
* \ingroup OTBSupervised
*/
template< class TSample, class TModel >
class ITK_EXPORT SVMMarginSampler :
public itk::Statistics::SampleClassifierFilter< TSample >
{
public:
/** Standard class typedef*/
typedef SVMMarginSampler Self;
typedef itk::Statistics::SampleClassifierFilter< TSample > Superclass;
typedef itk::SmartPointer< Self > Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Standard macros */
itkTypeMacro(SVMMarginSampler, itk::Statistics::SampleClassifierFilter);
itkNewMacro(Self);
/** Output type for GetClassSample method */
typedef typename Superclass::MembershipSampleType OutputType;
/** typedefs from TSample object */
typedef typename TSample::MeasurementType MeasurementType;
typedef typename TSample::MeasurementVectorType MeasurementVectorType;
typedef std::pair<unsigned int, double> IndexAndDistanceType;
typedef std::vector<IndexAndDistanceType> IndexAndDistanceVectorType;
typedef std::vector<unsigned int> IndexVectorType;
static bool Compare(const IndexAndDistanceType& l1, const IndexAndDistanceType & l2)
{
bool resp = l2.second > l1.second;
return resp;
}
/** Type definitions for the SVM Model. */
typedef TModel SVMModelType;
typedef typename SVMModelType::Pointer SVMModelPointer;
itkSetMacro(NumberOfCandidates, unsigned int);
itkGetMacro(NumberOfCandidates, unsigned int);
/** Set the model */
itkSetObjectMacro(Model, SVMModelType);
/** Get the number of classes. */
itkGetObjectMacro(Model, SVMModelType);
const IndexVectorType & GetMarginSamples()
{
return m_MarginSamples;
}
protected:
SVMMarginSampler();
~SVMMarginSampler() ITK_OVERRIDE {}
void PrintSelf(std::ostream& os, itk::Indent indent) const ITK_OVERRIDE;
/** Starts the classification process */
void GenerateData() ITK_OVERRIDE;
virtual void DoMarginSampling();
private:
SVMModelPointer m_Model;
unsigned int m_NumberOfCandidates;
IndexVectorType m_MarginSamples;
}; // end of class
} // end of namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbSVMMarginSampler.txx"
#endif
#endif
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