/usr/include/OTB-5.8/otbKNearestNeighborsMachineLearningModel.h is in libotb-dev 5.8.0+dfsg-3.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 | /*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef otbKNearestNeighborsMachineLearningModel_h
#define otbKNearestNeighborsMachineLearningModel_h
#include "otbRequiresOpenCVCheck.h"
#include "itkLightObject.h"
#include "itkFixedArray.h"
#include "otbMachineLearningModel.h"
class CvKNearest;
namespace otb
{
template <class TInputValue, class TTargetValue>
class ITK_EXPORT KNearestNeighborsMachineLearningModel
: public MachineLearningModel <TInputValue, TTargetValue>
{
public:
/** Standard class typedefs. */
typedef KNearestNeighborsMachineLearningModel Self;
typedef MachineLearningModel<TInputValue, TTargetValue> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
typedef typename Superclass::InputValueType InputValueType;
typedef typename Superclass::InputSampleType InputSampleType;
typedef typename Superclass::InputListSampleType InputListSampleType;
typedef typename Superclass::TargetValueType TargetValueType;
typedef typename Superclass::TargetSampleType TargetSampleType;
typedef typename Superclass::TargetListSampleType TargetListSampleType;
typedef typename Superclass::ConfidenceValueType ConfidenceValueType;
/** Run-time type information (and related methods). */
itkNewMacro(Self);
itkTypeMacro(KNearestNeighborsMachineLearningModel, MachineLearningModel);
/** Setters/Getters to the number of neighbors to use
* Default is 32
* \see http://docs.opencv.org/modules/ml/doc/k_nearest_neighbors.html
*/
itkGetMacro(K, int);
itkSetMacro(K, int);
/** Decision rule once the KNN are found :
* [for classification]
* - KNN_VOTING : output value with maximum occurrences (for classification)
* [for regression]
* - KNN_MEAN : output mean value of neighbors
* - KNN_MEDIAN : output median value of neighbors
*/
enum {KNN_VOTING, KNN_MEAN, KNN_MEDIAN};
/** Setters/Getters to the decision rule */
itkGetMacro(DecisionRule, int);
itkSetMacro(DecisionRule, int);
/** Train the machine learning model */
void Train() ITK_OVERRIDE;
/** Save the model to file */
void Save(const std::string & filename, const std::string & name="") ITK_OVERRIDE;
/** Load the model from file */
void Load(const std::string & filename, const std::string & name="") ITK_OVERRIDE;
/**\name Classification model file compatibility tests */
//@{
/** Is the input model file readable and compatible with the corresponding classifier ? */
bool CanReadFile(const std::string &) ITK_OVERRIDE;
/** Is the input model file writable and compatible with the corresponding classifier ? */
bool CanWriteFile(const std::string &) ITK_OVERRIDE;
//@}
protected:
/** Constructor */
KNearestNeighborsMachineLearningModel();
/** Destructor */
~KNearestNeighborsMachineLearningModel() ITK_OVERRIDE;
/** Predict values using the model */
TargetSampleType DoPredict(const InputSampleType& input, ConfidenceValueType *quality=ITK_NULLPTR) const ITK_OVERRIDE;
/** PrintSelf method */
void PrintSelf(std::ostream& os, itk::Indent indent) const ITK_OVERRIDE;
private:
KNearestNeighborsMachineLearningModel(const Self &); //purposely not implemented
void operator =(const Self&); //purposely not implemented
CvKNearest * m_KNearestModel;
int m_K;
int m_DecisionRule;
};
} // end namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbKNearestNeighborsMachineLearningModel.txx"
#endif
#endif
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