ITK
4.4.0
Insight Segmentation and Registration Toolkit
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#include <itkNeuralNetworkFileReader.h>
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://hdl.handle.net/1926/203
Definition at line 57 of file itkNeuralNetworkFileReader.h.
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struct | LineType |
Public Member Functions | |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
virtual const char * | GetFileName () const |
virtual const char * | GetNameOfClass () const |
TNetwork * | GetOutput () const |
virtual NetworkWriteWeightsType | GetReadWeightValuesType () const |
virtual void | SetFileName (const char *_arg) |
virtual void | SetReadWeightValuesType (const NetworkWriteWeightsType _arg) |
void | Update (void) |
Public Member Functions inherited from itk::Object | |
unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
MetaDataDictionary & | GetMetaDataDictionary (void) |
const MetaDataDictionary & | GetMetaDataDictionary (void) const |
virtual ModifiedTimeType | GetMTime () const |
virtual const TimeStamp & | GetTimeStamp () const |
bool | HasObserver (const EventObject &event) const |
void | InvokeEvent (const EventObject &) |
void | InvokeEvent (const EventObject &) const |
virtual void | Modified () const |
virtual void | Register () const |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
void | SetDebug (bool debugFlag) const |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
virtual void | SetReferenceCount (int) |
virtual void | UnRegister () const |
Public Member Functions inherited from itk::LightObject | |
virtual void | Delete () |
virtual int | GetReferenceCount () const |
itkCloneMacro (Self) | |
void | Print (std::ostream &os, Indent indent=0) const |
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::Object | |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool flag) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
Protected Member Functions | |
NeuralNetworkFileReader () | |
virtual void | PrintSelf (std::ostream &os, Indent indent) const |
~NeuralNetworkFileReader () | |
Protected Member Functions inherited from itk::Object | |
Object () | |
bool | PrintObservers (std::ostream &os, Indent indent) const |
virtual void | SetTimeStamp (const TimeStamp &time) |
virtual | ~Object () |
Protected Member Functions inherited from itk::LightObject | |
virtual LightObject::Pointer | InternalClone () const |
LightObject () | |
virtual void | PrintHeader (std::ostream &os, Indent indent) const |
virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
virtual | ~LightObject () |
Private Types | |
typedef std::vector < MET_FieldRecordType * > | FieldsContainerType |
typedef std::vector< typename TNetwork::LayerInterfaceType::Pointer > | LayersContainer |
typedef std::list< LineType > | LinesContainer |
typedef std::vector< typename TNetwork::LayerInterfaceType::WeightSetInterfaceType::Pointer > | WeightsContainer |
Private Member Functions | |
void | ClearFields () |
Private Attributes | |
bool | m_BinaryDataByteOrderMSB |
FieldsContainerType | m_Fields |
std::string | m_FileName |
std::ifstream | m_InputFile |
LayersContainer | m_Layers |
LinesContainer | m_NameValue |
TNetwork::Pointer | m_Network |
NetworkWriteWeightsType | m_ReadWeightValuesType |
WeightsContainer | m_Weights |
Additional Inherited Members | |
Protected Types inherited from itk::LightObject | |
typedef int | InternalReferenceCountType |
Protected Attributes inherited from itk::LightObject | |
InternalReferenceCountType | m_ReferenceCount |
SimpleFastMutexLock | m_ReferenceCountLock |
typedef BackPropagationLayerType::Pointer itk::NeuralNetworkFileReader< TNetwork >::BackPropagationLayerPointer |
Definition at line 77 of file itkNeuralNetworkFileReader.h.
typedef Statistics::BackPropagationLayer< MeasurementVectorType, TargetVectorType > itk::NeuralNetworkFileReader< TNetwork >::BackPropagationLayerType |
Definition at line 76 of file itkNeuralNetworkFileReader.h.
typedef SmartPointer< const Self > itk::NeuralNetworkFileReader< TNetwork >::ConstPointer |
Definition at line 65 of file itkNeuralNetworkFileReader.h.
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private |
Definition at line 126 of file itkNeuralNetworkFileReader.h.
typedef TNetwork::LayerInterfaceType itk::NeuralNetworkFileReader< TNetwork >::LayerInterfaceType |
Definition at line 80 of file itkNeuralNetworkFileReader.h.
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Definition at line 127 of file itkNeuralNetworkFileReader.h.
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Definition at line 135 of file itkNeuralNetworkFileReader.h.
typedef TNetwork::MeasurementVectorType itk::NeuralNetworkFileReader< TNetwork >::MeasurementVectorType |
Definition at line 71 of file itkNeuralNetworkFileReader.h.
typedef MeasurementVectorType::ValueType itk::NeuralNetworkFileReader< TNetwork >::MeasurementVectorValueType |
Definition at line 78 of file itkNeuralNetworkFileReader.h.
typedef SmartPointer< Self > itk::NeuralNetworkFileReader< TNetwork >::Pointer |
Definition at line 64 of file itkNeuralNetworkFileReader.h.
typedef NeuralNetworkFileReader itk::NeuralNetworkFileReader< TNetwork >::Self |
SmartPointer typedef support
Definition at line 62 of file itkNeuralNetworkFileReader.h.
typedef Object itk::NeuralNetworkFileReader< TNetwork >::Superclass |
Definition at line 63 of file itkNeuralNetworkFileReader.h.
typedef TNetwork::TargetVectorType itk::NeuralNetworkFileReader< TNetwork >::TargetVectorType |
Definition at line 74 of file itkNeuralNetworkFileReader.h.
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Definition at line 128 of file itkNeuralNetworkFileReader.h.
typedef WeightSetType::Pointer itk::NeuralNetworkFileReader< TNetwork >::WeightSetPointer |
Definition at line 82 of file itkNeuralNetworkFileReader.h.
typedef LayerInterfaceType::WeightSetType itk::NeuralNetworkFileReader< TNetwork >::WeightSetType |
Definition at line 81 of file itkNeuralNetworkFileReader.h.
enum itk::NeuralNetworkFileReader::NetworkWriteWeightsType |
Enumerator | |
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IGNORE | |
ASCII | |
BINARY |
Definition at line 113 of file itkNeuralNetworkFileReader.h.
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Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::Object.
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Get the filename
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Run-time type information (and related methods).
Reimplemented from itk::Object.
TNetwork* itk::NeuralNetworkFileReader< TNetwork >::GetOutput | ( | ) | const |
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Method for creation through the object factory
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protectedvirtual |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::Object.
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Set the filename
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void itk::NeuralNetworkFileReader< TNetwork >::Update | ( | void | ) |
Read NeuralNetwork
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Definition at line 146 of file itkNeuralNetworkFileReader.h.
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Definition at line 144 of file itkNeuralNetworkFileReader.h.
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Definition at line 143 of file itkNeuralNetworkFileReader.h.
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Definition at line 145 of file itkNeuralNetworkFileReader.h.
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Definition at line 140 of file itkNeuralNetworkFileReader.h.
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Definition at line 142 of file itkNeuralNetworkFileReader.h.
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Definition at line 137 of file itkNeuralNetworkFileReader.h.
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Definition at line 139 of file itkNeuralNetworkFileReader.h.
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Definition at line 141 of file itkNeuralNetworkFileReader.h.