otbConfusionMatrixMeasurements.h

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/*
 * Copyright (C) 2005-2024 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 otbConfusionMatrixMeasurements_h
#define otbConfusionMatrixMeasurements_h
 
#include "itkObject.h"
#include "itkObjectFactory.h"
#include "itkVariableSizeMatrix.h"
#include "itkVariableLengthVector.h"
 
namespace otb
{
template <class TConfusionMatrix = itk::VariableSizeMatrix<unsigned long>, class TLabel = int>
class ITK_EXPORT ConfusionMatrixMeasurements : public itk::Object
{
public:
  typedef ConfusionMatrixMeasurements   Self;
  typedef itk::Object                   Superclass;
  typedef itk::SmartPointer<Self>       Pointer;
  typedef itk::SmartPointer<const Self> ConstPointer;
 
  itkTypeMacro(ConfusionMatrixMeasurements, itk::Object);
 
  itkNewMacro(Self);
 
  typedef TLabel ClassLabelType;
  typedef std::map<ClassLabelType, int> MapOfClassesType;
  typedef std::map<int, ClassLabelType> MapOfIndicesType;
 
  typedef TConfusionMatrix ConfusionMatrixType;
 
  typedef itk::VariableLengthVector<double> MeasurementType;
 
 
  void Compute(void);
 
  itkSetMacro(ConfusionMatrix, ConfusionMatrixType);
 
  itkGetMacro(TruePositiveValues, MeasurementType);
  itkGetMacro(TrueNegativeValues, MeasurementType);
  itkGetMacro(FalsePositiveValues, MeasurementType);
  itkGetMacro(FalseNegativeValues, MeasurementType);
  itkGetMacro(TruePositiveValue, double);
  itkGetMacro(TrueNegativeValue, double);
  itkGetMacro(FalsePositiveValue, double);
  itkGetMacro(FalseNegativeValue, double);
  itkGetMacro(KappaIndex, double);
  itkGetMacro(OverallAccuracy, double);
  itkGetMacro(Precisions, MeasurementType);
  itkGetMacro(Recalls, MeasurementType);
  itkGetMacro(FScores, MeasurementType);
  itkGetMacro(Precision, double);
  itkGetMacro(Recall, double);
  itkGetMacro(FScore, double);
  itkGetMacro(NumberOfClasses, unsigned short);
  itkGetMacro(NumberOfSamples, unsigned long);
 
  /* Gives the correspondence between a class label
   * and its index in the confusion matrix
   */
  virtual void SetMapOfClasses(const MapOfClassesType &_arg)
  {
    m_MapOfClasses = _arg;
    typename MapOfClassesType::iterator itMapOfClasses;
    m_MapOfIndices.clear();
    for (itMapOfClasses = m_MapOfClasses.begin(); itMapOfClasses != m_MapOfClasses.end(); ++itMapOfClasses)
    {
      m_MapOfIndices[itMapOfClasses->second] = itMapOfClasses->first;
    }
  }
 
  MapOfClassesType GetMapOfClasses() const
  {
    return m_MapOfClasses;
  }
 
 
  /* Gives the correspondence between an index in the
   * confusion matrix and the class label
   */
  virtual void SetMapOfIndices(const MapOfIndicesType &_arg)
  {
    m_MapOfIndices = _arg;
    typename MapOfIndicesType::iterator itMapOfIndices;
    m_MapOfClasses.clear();
    for (itMapOfIndices = m_MapOfIndices.begin(); itMapOfIndices != m_MapOfIndices.end(); ++itMapOfIndices)
    {
      m_MapOfClasses[itMapOfIndices->second] = itMapOfIndices->first;
    }
  }
 
  MapOfIndicesType GetMapOfIndices() const
  {
    return m_MapOfIndices;
  }
 
protected:
  ConfusionMatrixMeasurements();
  ~ConfusionMatrixMeasurements() override
  {
  }
  // void PrintSelf(std::ostream& os, itk::Indent indent) const;
 
 
private:
  ConfusionMatrixMeasurements(const Self&) = delete;
  void operator=(const Self&) = delete;
 
  double m_KappaIndex;
  double m_OverallAccuracy;
 
  MeasurementType m_FalseNegativeValues;
  MeasurementType m_TrueNegativeValues;
  MeasurementType m_FalsePositiveValues;
  MeasurementType m_TruePositiveValues;
 
  MeasurementType m_Precisions;
  MeasurementType m_Recalls;
  MeasurementType m_FScores;
 
  double m_FalseNegativeValue;
  double m_TrueNegativeValue;
  double m_FalsePositiveValue;
  double m_TruePositiveValue;
 
  double m_Precision;
  double m_Recall;
  double m_FScore;
 
  MapOfClassesType m_MapOfClasses;
  MapOfIndicesType m_MapOfIndices;
 
  unsigned short m_NumberOfClasses;
  unsigned long  m_NumberOfSamples;
 
  ConfusionMatrixType m_ConfusionMatrix;
};
} // end of namespace otb
 
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbConfusionMatrixMeasurements.hxx"
#endif
 
#endif