/usr/include/OTB-6.4/otbSOMMap.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)
* Copyright (C) 2007-2012 Institut Mines Telecom / Telecom Bretagne
*
* 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 otbSOMMap_txx
#define otbSOMMap_txx
#include "otbSOMMap.h"
#include "itkImageRegionIteratorWithIndex.h"
namespace otb
{
/**
* Constructor
*/
template <class TNeuron, class TDistance, unsigned int VMapDimension>
SOMMap<TNeuron, TDistance, VMapDimension>
::SOMMap()
{}
/**
* Destructor
*/
template <class TNeuron, class TDistance, unsigned int VMapDimension>
SOMMap<TNeuron, TDistance, VMapDimension>
::~SOMMap()
{}
/**
* Get The index of the winning neuron for a sample.
* \param sample The sample
* \return The index of the winning neuron.
*/
template <class TNeuron, class TDistance, unsigned int VMapDimension>
typename SOMMap<TNeuron, TDistance, VMapDimension>
::IndexType
SOMMap<TNeuron, TDistance, VMapDimension>
::GetWinner(const NeuronType& sample)
{
// Some typedefs
typedef itk::ImageRegionIteratorWithIndex<Self> IteratorType;
// Define the euclidean distance used to compute the neural response
DistancePointerType activation = DistanceType::New();
// Define the iterator used to walk through the map
IteratorType it(this, this->GetLargestPossibleRegion());
it.GoToBegin();
// Define the minimum distance and position
IndexType minPos = it.GetIndex();
double minDistance = activation->Evaluate(sample, it.Get());
// Iterate through the map to get the minimum distance position
for (; !it.IsAtEnd(); ++it)
{
double tempDistance = activation->Evaluate(sample, it.Get());
if (tempDistance <= minDistance)
{
minDistance = tempDistance;
minPos = it.GetIndex();
}
}
// Return the index of the winner
return minPos;
}
template <class TNeuron, class TDistance, unsigned int VMapDimension>
void
SOMMap<TNeuron, TDistance, VMapDimension>
::PrintSelf(std::ostream& os, itk::Indent indent) const
{
Superclass::PrintSelf(os, indent);
}
} // end namespace otb
#endif
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