/usr/include/InsightToolkit/Review/itkNeuralNetworkFileReader.h is in libinsighttoolkit3-dev 3.20.1-1.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkNeuralNetworkFileReader.h
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm 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 __itkNeuralNetworkFileReader_h
#define __itkNeuralNetworkFileReader_h
#include "metaTypes.h"
#include "metaUtils.h"
#include "itkMultilayerNeuralNetworkBase.h"
#include "itkBackPropagationLayer.h"
#include "itkCompletelyConnectedWeightSet.h"
#include "itkSumInputFunction.h"
#include "itkProductInputFunction.h"
#include "itkIdentityTransferFunction.h"
#include "itkLogSigmoidTransferFunction.h"
#include "itkSigmoidTransferFunction.h"
#include "itkTanSigmoidTransferFunction.h"
#include "itkSymmetricSigmoidTransferFunction.h"
namespace itk
{
/** \class NeuralNetworkFileReader
* \brief Reader for Neural Network
*
* This class will enable the user to load neural network and define
* weights and other network parameters from a text file.
*
* This class was contributed to the Insight Journal by Raghu Venkatram.
* The original paper can be found at
* http://insight-journal.org/midas/handle.php?handle=1926/203
*
* \author Raghu Venkatram
*
* \sa NeuralNetworkFileWriter
* \sa MultilayerNeuralNetworkBase
*
*
* \group IOFilter
*
*/
template<class TNetwork>
class NeuralNetworkFileReader : public Object
{
public:
/** SmartPointer typedef support */
typedef NeuralNetworkFileReader Self;
typedef Object Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(NeuralNetworkFileReader,Object);
/** Method for creation through the object factory */
itkNewMacro(Self);
typedef typename TNetwork::MeasurementVectorType MeasurementVectorType;
typedef typename TNetwork::TargetVectorType TargetVectorType;
typedef Statistics::BackPropagationLayer<
MeasurementVectorType, TargetVectorType> BackPropagationLayerType;
typedef typename BackPropagationLayerType::Pointer BackPropagationLayerPointer;
typedef typename MeasurementVectorType::ValueType MeasurementVectorValueType;
typedef typename TNetwork::LayerInterfaceType LayerInterfaceType;
typedef typename LayerInterfaceType::WeightSetType WeightSetType;
typedef typename WeightSetType::Pointer WeightSetPointer;
// typedef typename TNetwork::Pointer NetworkPointer;
// typedef typename TNetwork::ConstPointer NetworkConstPointer;
// typedef typename LayerInterfaceType::TransferFunctionType::Pointer TransferFunctionPointer;
// typedef typename LayerInterfaceType::TransferFunctionType::ConstPointer TransferFunctionConstPointer;
// typedef typename LayerInterfaceType::InputFunctionType::Pointer InputFunctionPointer;
// typedef typename LayerInterfaceType::InputFunctionType::ConstPointer InputFunctionConstPointer;
// typedef typename LayerInterfaceType::ValueType ValueType;
/** Set the filename */
itkSetStringMacro( FileName );
/** Get the filename */
itkGetStringMacro( FileName );
/** Read NeuralNetwork */
void Update(void);
TNetwork * GetOutput() const;
#ifdef IGNORE
#undef IGNORE
#endif
typedef enum { IGNORE=0, ASCII=1, BINARY=2 } NetworkWriteWeightsType;
itkSetEnumMacro(ReadWeightValuesType, NetworkWriteWeightsType);
itkGetEnumMacro(ReadWeightValuesType, NetworkWriteWeightsType);
protected:
NeuralNetworkFileReader();
~NeuralNetworkFileReader();
virtual void PrintSelf( std::ostream& os, Indent indent ) const;
private:
void ClearFields();
typedef std::vector<MET_FieldRecordType *> FieldsContainerType;
typedef std::vector<typename TNetwork::LayerInterfaceType::Pointer > LayersContainer;
typedef std::vector<typename TNetwork::LayerInterfaceType::WeightSetInterfaceType::Pointer> WeightsContainer;
typedef struct
{
std::string name;
std::string value;
} LineType;
typedef std::list< LineType > LinesContainer;
typename TNetwork::Pointer m_Network;
NetworkWriteWeightsType m_ReadWeightValuesType;
LayersContainer m_Layers;
WeightsContainer m_Weights;
LinesContainer m_NameValue;
std::string m_FileName;
FieldsContainerType m_Fields;
std::ifstream m_InputFile;
bool m_BinaryDataByteOrderMSB;
};
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkNeuralNetworkFileReader.txx"
#endif
#endif
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