/usr/include/OTB-6.4/otbConfusionMatrixToMassOfBelief.txx is in libotb-dev 6.4.0+dfsg-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | /*
* 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 otbConfusionMatrixToMassOfBelief_txx
#define otbConfusionMatrixToMassOfBelief_txx
#include "otbConfusionMatrixToMassOfBelief.h"
namespace otb
{
template<class TConfusionMatrix, class TLabel>
ConfusionMatrixToMassOfBelief<TConfusionMatrix, TLabel>
::ConfusionMatrixToMassOfBelief()
{
this->SetNumberOfRequiredInputs(2);
this->SetNumberOfRequiredOutputs(1);
this->m_ConfMatMeasurements = ConfusionMatrixMeasurementsType::New();
this->m_DefinitionMethod = this->PRECISION;
}
template <class TConfusionMatrix, class TLabel>
void
ConfusionMatrixToMassOfBelief<TConfusionMatrix, TLabel>
::Update()
{
this->GenerateData();
}
template <class TConfusionMatrix, class TLabel>
void
ConfusionMatrixToMassOfBelief<TConfusionMatrix, TLabel>
::GenerateData()
{
this->m_ConfMatMeasurements->SetConfusionMatrix(m_ConfusionMatrix);
this->m_ConfMatMeasurements->Compute();
typename MapOfIndicesType::iterator itMapOfIndices;
MassType currentMass = 0.;
this->m_MapMassOfBelief.clear();
for (itMapOfIndices = m_MapOfIndices.begin(); itMapOfIndices != m_MapOfIndices.end(); ++itMapOfIndices)
{
switch (m_DefinitionMethod)
{
case PRECISION:
// Masses of Belief = Precision Rate of each label (TP / [TP + FP])
currentMass = m_ConfMatMeasurements->GetPrecisions()[itMapOfIndices->first];
break;
case RECALL:
// Masses of Belief = Recall Rate of each label (TP / [TP + FN])
currentMass = m_ConfMatMeasurements->GetRecalls()[itMapOfIndices->first];
break;
case ACCURACY:
// Masses of Belief = Overall Accuracy of the confusion matrix (SUM[TP] / nbSamples)
currentMass = m_ConfMatMeasurements->GetOverallAccuracy();
break;
case KAPPA:
// Masses of Belief = Kappa Index of the confusion matrix
currentMass = m_ConfMatMeasurements->GetKappaIndex();
break;
default:
// Masses of Belief = Precision Rate of each label (TP / [TP + FP]
currentMass = m_ConfMatMeasurements->GetPrecisions()[itMapOfIndices->first];
break;
}// END switch (m_DefinitionMethod)
this->m_MapMassOfBelief[itMapOfIndices->second] = currentMass;
}
}
} // end namespace otb
#endif
|