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<h1>itkNeuralNetworkFileReader.h</h1><a href="itkNeuralNetworkFileReader_8h.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">/*=========================================================================</span>
<a name="l00002"></a>00002 <span class="comment"></span>
<a name="l00003"></a>00003 <span class="comment">Program: Insight Segmentation & Registration Toolkit</span>
<a name="l00004"></a>00004 <span class="comment">Module: $RCSfile: itkNeuralNetworkFileReader.h,v $</span>
<a name="l00005"></a>00005 <span class="comment">Language: C++</span>
<a name="l00006"></a>00006 <span class="comment">Date: $Date: 2008-02-07 15:58:06 $</span>
<a name="l00007"></a>00007 <span class="comment">Version: $Revision: 1.16 $</span>
<a name="l00008"></a>00008 <span class="comment"></span>
<a name="l00009"></a>00009 <span class="comment">Copyright (c) Insight Software Consortium. All rights reserved.</span>
<a name="l00010"></a>00010 <span class="comment">See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.</span>
<a name="l00011"></a>00011 <span class="comment"></span>
<a name="l00012"></a>00012 <span class="comment">This software is distributed WITHOUT ANY WARRANTY; without even</span>
<a name="l00013"></a>00013 <span class="comment">the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR</span>
<a name="l00014"></a>00014 <span class="comment">PURPOSE. See the above copyright notices for more information.</span>
<a name="l00015"></a>00015 <span class="comment"></span>
<a name="l00016"></a>00016 <span class="comment">=========================================================================*/</span>
<a name="l00017"></a>00017
<a name="l00018"></a>00018 <span class="preprocessor">#ifndef __itkNeuralNetworkFileReader_h</span>
<a name="l00019"></a>00019 <span class="preprocessor"></span><span class="preprocessor">#define __itkNeuralNetworkFileReader_h</span>
<a name="l00020"></a>00020 <span class="preprocessor"></span>
<a name="l00021"></a>00021 <span class="preprocessor">#include "metaTypes.h"</span>
<a name="l00022"></a>00022 <span class="preprocessor">#include "metaUtils.h"</span>
<a name="l00023"></a>00023
<a name="l00024"></a>00024 <span class="preprocessor">#include "<a class="code" href="itkMultilayerNeuralNetworkBase_8h.html">itkMultilayerNeuralNetworkBase.h</a>"</span>
<a name="l00025"></a>00025
<a name="l00026"></a>00026 <span class="preprocessor">#include "<a class="code" href="itkBackPropagationLayer_8h.html">itkBackPropagationLayer.h</a>"</span>
<a name="l00027"></a>00027
<a name="l00028"></a>00028 <span class="preprocessor">#include "<a class="code" href="itkCompletelyConnectedWeightSet_8h.html">itkCompletelyConnectedWeightSet.h</a>"</span>
<a name="l00029"></a>00029
<a name="l00030"></a>00030 <span class="preprocessor">#include "<a class="code" href="itkSumInputFunction_8h.html">itkSumInputFunction.h</a>"</span>
<a name="l00031"></a>00031 <span class="preprocessor">#include "<a class="code" href="itkProductInputFunction_8h.html">itkProductInputFunction.h</a>"</span>
<a name="l00032"></a>00032
<a name="l00033"></a>00033 <span class="preprocessor">#include "<a class="code" href="itkIdentityTransferFunction_8h.html">itkIdentityTransferFunction.h</a>"</span>
<a name="l00034"></a>00034 <span class="preprocessor">#include "<a class="code" href="itkLogSigmoidTransferFunction_8h.html">itkLogSigmoidTransferFunction.h</a>"</span>
<a name="l00035"></a>00035 <span class="preprocessor">#include "<a class="code" href="itkSigmoidTransferFunction_8h.html">itkSigmoidTransferFunction.h</a>"</span>
<a name="l00036"></a>00036 <span class="preprocessor">#include "<a class="code" href="itkTanSigmoidTransferFunction_8h.html">itkTanSigmoidTransferFunction.h</a>"</span>
<a name="l00037"></a>00037 <span class="preprocessor">#include "<a class="code" href="itkSymmetricSigmoidTransferFunction_8h.html">itkSymmetricSigmoidTransferFunction.h</a>"</span>
<a name="l00038"></a>00038
<a name="l00039"></a>00039
<a name="l00040"></a>00040 <span class="keyword">namespace </span>itk
<a name="l00041"></a>00041 {
<a name="l00042"></a>00042
<a name="l00062"></a>00062 <span class="keyword">template</span><<span class="keyword">class</span> TNetwork>
<a name="l00063"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html">00063</a> <span class="keyword">class </span><a class="code" href="classitk_1_1NeuralNetworkFileReader.html" title="Reader for Neural Network.">NeuralNetworkFileReader</a> : <span class="keyword">public</span> <a class="code" href="classitk_1_1Object.html" title="Base class for most itk classes.">Object</a>
<a name="l00064"></a>00064 {
<a name="l00065"></a>00065 <span class="keyword">public</span>:
<a name="l00066"></a>00066
<a name="l00068"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#f29fc9591e6b67a0c4ae7780765db23c">00068</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1NeuralNetworkFileReader.html" title="Reader for Neural Network.">NeuralNetworkFileReader</a> <a class="code" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes.">Self</a>;
<a name="l00069"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#196ae32ef1943ba4327449f757429d30">00069</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Object.html" title="Base class for most itk classes.">Object</a> <a class="code" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes.">Superclass</a>;
<a name="l00070"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#5786e0d6f6919c666c99a720f09cced9">00070</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1SmartPointer.html">SmartPointer<Self></a> <a class="code" href="classitk_1_1SmartPointer.html">Pointer</a>;
<a name="l00071"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#b0280869add8ebe89a1717c7b1da3362">00071</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1SmartPointer.html">SmartPointer<const Self></a> <a class="code" href="classitk_1_1SmartPointer.html">ConstPointer</a>;
<a name="l00072"></a>00072
<a name="l00074"></a>00074 <a class="code" href="itkMacro_8h.html#574c1f86661d409dd32c742307a0e96a">itkTypeMacro</a>(<a class="code" href="classitk_1_1NeuralNetworkFileReader.html" title="Reader for Neural Network.">NeuralNetworkFileReader</a>,<a class="code" href="classitk_1_1Object.html" title="Base class for most itk classes.">Object</a>);
<a name="l00075"></a>00075
<a name="l00077"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#7044ffd2ea7461e50393caf8d0a0272f">00077</a> <a class="code" href="itkMacro_8h.html#0fdc15685afa271857c57e7cd482f30c">itkNewMacro</a>(<a class="code" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes.">Self</a>);
<a name="l00078"></a>00078
<a name="l00079"></a>00079 <span class="keyword">typedef</span> <span class="keyword">typename</span> TNetwork::MeasurementVectorType <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#7044ffd2ea7461e50393caf8d0a0272f">MeasurementVectorType</a>;
<a name="l00080"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#68fe6df74e2f089dfcd75cc2268ec620">00080</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> TNetwork::TargetVectorType <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#68fe6df74e2f089dfcd75cc2268ec620">TargetVectorType</a>;
<a name="l00081"></a>00081 <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Statistics_1_1BackPropagationLayer.html">Statistics::BackPropagationLayer</a><
<a name="l00082"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#e22c80f4269acc6e187c4ee01a9f9ded">00082</a> <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#7044ffd2ea7461e50393caf8d0a0272f">MeasurementVectorType</a>, <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#68fe6df74e2f089dfcd75cc2268ec620">TargetVectorType</a>> <a class="code" href="classitk_1_1Statistics_1_1BackPropagationLayer.html">BackPropagationLayerType</a>;
<a name="l00083"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#3404874b49cf09cd8267563d138a4d02">00083</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classitk_1_1SmartPointer.html">BackPropagationLayerType::Pointer</a> <a class="code" href="classitk_1_1SmartPointer.html">BackPropagationLayerPointer</a>;
<a name="l00084"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#90581761cbea656c87c607d7ef16f922">00084</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> MeasurementVectorType::ValueType <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#90581761cbea656c87c607d7ef16f922">MeasurementVectorValueType</a>;
<a name="l00085"></a>00085
<a name="l00086"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#79d367dcf49b36fd447e21b3cd7405b9">00086</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> TNetwork::LayerInterfaceType <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#79d367dcf49b36fd447e21b3cd7405b9">LayerInterfaceType</a>;
<a name="l00087"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#0d7c47ca777eda103f17f3c2a22e7703">00087</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> LayerInterfaceType::WeightSetType <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#0d7c47ca777eda103f17f3c2a22e7703">WeightSetType</a>;
<a name="l00088"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#a2dd05711a8d69630a6ca6884481b2a5">00088</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="itkFEMMacro_8h.html#539cce1a3282ba59952dedcbf9cdb23f">WeightSetType::Pointer</a> <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#a2dd05711a8d69630a6ca6884481b2a5">WeightSetPointer</a>;
<a name="l00089"></a>00089
<a name="l00090"></a>00090 <span class="comment">// typedef typename TNetwork::Pointer NetworkPointer;</span>
<a name="l00091"></a>00091 <span class="comment">// typedef typename TNetwork::ConstPointer NetworkConstPointer;</span>
<a name="l00092"></a>00092
<a name="l00093"></a>00093
<a name="l00094"></a>00094 <span class="comment">// typedef typename LayerInterfaceType::TransferFunctionType::Pointer TransferFunctionPointer;</span>
<a name="l00095"></a>00095 <span class="comment">// typedef typename LayerInterfaceType::TransferFunctionType::ConstPointer TransferFunctionConstPointer;</span>
<a name="l00096"></a>00096
<a name="l00097"></a>00097 <span class="comment">// typedef typename LayerInterfaceType::InputFunctionType::Pointer InputFunctionPointer;</span>
<a name="l00098"></a>00098 <span class="comment">// typedef typename LayerInterfaceType::InputFunctionType::ConstPointer InputFunctionConstPointer;</span>
<a name="l00099"></a>00099
<a name="l00100"></a>00100 <span class="comment">// typedef typename LayerInterfaceType::ValueType ValueType;</span>
<a name="l00101"></a>00101
<a name="l00103"></a>00103 <a class="code" href="itkMacro_8h.html#3b9c68842cd296d3ef6d1ed0f5a742a4">itkSetStringMacro</a>( FileName );
<a name="l00104"></a>00104
<a name="l00106"></a>00106 <a class="code" href="itkMacro_8h.html#bea8d1eeb8af8f01bfec0169f63f6871">itkGetStringMacro</a>( FileName );
<a name="l00107"></a>00107
<a name="l00109"></a>00109 <span class="keywordtype">void</span> <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#bbed51f0738aac08852df68a499266ca">Update</a>(<span class="keywordtype">void</span>);
<a name="l00110"></a>00110
<a name="l00111"></a>00111 TNetwork * <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#588533d92ce1894db8aa037a5aa5510c">GetOutput</a>() <span class="keyword">const</span>;
<a name="l00112"></a>00112
<a name="l00113"></a>00113 <span class="preprocessor">#ifdef IGNORE</span>
<a name="l00114"></a>00114 <span class="preprocessor"></span><span class="preprocessor">#undef IGNORE</span>
<a name="l00115"></a>00115 <span class="preprocessor"></span><span class="preprocessor">#endif</span>
<a name="l00116"></a><a class="code" href="classitk_1_1NeuralNetworkFileReader.html#1d89a8dab2387c6fd6de97dabd2c633b">00116</a> <span class="preprocessor"></span> <span class="keyword">typedef</span> <span class="keyword">enum</span> { <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#1d89a8dab2387c6fd6de97dabd2c633b28c82a57d3ad84f169fe1913baa92c77">IGNORE</a>=0, <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#1d89a8dab2387c6fd6de97dabd2c633bde8673875988752338245c31f6428cef">ASCII</a>=1, <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#1d89a8dab2387c6fd6de97dabd2c633b16bc45e6922ead766e4e9a20df9399b4">BINARY</a>=2 } <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#1d89a8dab2387c6fd6de97dabd2c633b">NetworkWriteWeightsType</a>;
<a name="l00117"></a>00117 <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#af5b4cbded9aed5930db87cc0f588de5">itkSetEnumMacro</a>(ReadWeightValuesType, <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#1d89a8dab2387c6fd6de97dabd2c633b">NetworkWriteWeightsType</a>);
<a name="l00118"></a>00118 <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#b712d26716fb2610991c08296ddb4b69">itkGetEnumMacro</a>(ReadWeightValuesType, <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#1d89a8dab2387c6fd6de97dabd2c633b">NetworkWriteWeightsType</a>);
<a name="l00119"></a>00119
<a name="l00120"></a>00120
<a name="l00121"></a>00121 <span class="keyword">protected</span>:
<a name="l00122"></a>00122 <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#f7666bff0b6d88c7517ccb36fdf0879f">NeuralNetworkFileReader</a>();
<a name="l00123"></a>00123 <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#93c1ddb8bc687ad9a1542900e66a2bd6">~NeuralNetworkFileReader</a>();
<a name="l00124"></a>00124 <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#4ce496e9ddcae0e698ca63e38a39ea2a">PrintSelf</a>( std::ostream& os, <a class="code" href="classitk_1_1Indent.html" title="Control indentation during Print() invocation.">Indent</a> indent ) <span class="keyword">const</span>;
<a name="l00125"></a>00125
<a name="l00126"></a>00126 <span class="keyword">private</span>:
<a name="l00127"></a>00127
<a name="l00128"></a>00128 <span class="keywordtype">void</span> ClearFields();
<a name="l00129"></a>00129 <span class="keyword">typedef</span> std::vector<MET_FieldRecordType *> FieldsContainerType;
<a name="l00130"></a>00130 <span class="keyword">typedef</span> std::vector<typename TNetwork::LayerInterfaceType::Pointer > LayersContainer;
<a name="l00131"></a>00131 <span class="keyword">typedef</span> std::vector<typename TNetwork::LayerInterfaceType::WeightSetInterfaceType::Pointer> WeightsContainer;
<a name="l00132"></a>00132
<a name="l00133"></a>00133 <span class="keyword">typedef</span> <span class="keyword">struct</span>
<a name="l00134"></a>00134 {
<a name="l00135"></a>00135 std::string name;
<a name="l00136"></a>00136 std::string value;
<a name="l00137"></a>00137 } LineType;
<a name="l00138"></a>00138
<a name="l00139"></a>00139 <span class="keyword">typedef</span> std::list< LineType > LinesContainer;
<a name="l00140"></a>00140
<a name="l00141"></a>00141
<a name="l00142"></a>00142 <span class="keyword">typename</span> <a class="code" href="itkFEMMacro_8h.html#539cce1a3282ba59952dedcbf9cdb23f">TNetwork::Pointer</a> m_Network;
<a name="l00143"></a>00143 <a class="code" href="classitk_1_1NeuralNetworkFileReader.html#1d89a8dab2387c6fd6de97dabd2c633b">NetworkWriteWeightsType</a> m_ReadWeightValuesType;
<a name="l00144"></a>00144 LayersContainer m_Layers;
<a name="l00145"></a>00145 WeightsContainer m_Weights;
<a name="l00146"></a>00146 LinesContainer m_NameValue;
<a name="l00147"></a>00147 std::string m_FileName;
<a name="l00148"></a>00148 FieldsContainerType m_Fields;
<a name="l00149"></a>00149 std::ifstream m_InputFile;
<a name="l00150"></a>00150 <span class="keywordtype">bool</span> m_BinaryDataByteOrderMSB;
<a name="l00151"></a>00151 };
<a name="l00152"></a>00152
<a name="l00153"></a>00153 } <span class="comment">// namespace itk</span>
<a name="l00154"></a>00154
<a name="l00155"></a>00155 <span class="preprocessor">#ifndef ITK_MANUAL_INSTANTIATION</span>
<a name="l00156"></a>00156 <span class="preprocessor"></span><span class="preprocessor">#include "itkNeuralNetworkFileReader.txx"</span>
<a name="l00157"></a>00157 <span class="preprocessor">#endif</span>
<a name="l00158"></a>00158 <span class="preprocessor"></span>
<a name="l00159"></a>00159 <span class="preprocessor">#endif</span>
<a name="l00160"></a>00160 <span class="preprocessor"></span>
</pre></div></div>
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