Class for SVM model estimation from images used for classification. More...

#include <otbSVMImageModelEstimator.h>

Inheritance diagram for otb::SVMImageModelEstimator< TInputImage, TTrainingImage >:

Collaboration diagram for otb::SVMImageModelEstimator< TInputImage, TTrainingImage >:

Public Types
typedef itk::SmartPointer < const Self >	ConstPointer

typedef DataObject::Pointer	DataObjectPointer

typedef std::vector < DataObjectPointer >	DataObjectPointerArray

typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType

typedef itk::ImageRegionIterator < TInputImage >	InputImageIterator

typedef TInputImage::PixelType	InputImagePixelType

typedef TInputImage::Pointer	InputImagePointer

typedef SVMModel < TInputImage::InternalPixelType, TTrainingImage::PixelType >	ModelType

typedef itk::SmartPointer< Self >	Pointer

typedef SVMImageModelEstimator	Self

typedef SVMModelEstimator < typename TInputImage::PixelType::ComponentType, typename TTrainingImage::PixelType >	Superclass

typedef SVMModelType::Pointer	SVMModelPointer

typedef SVMModel < TInputImage::InternalPixelType, TTrainingImage::PixelType >	SVMModelType

typedef itk::ImageRegionIterator < TTrainingImage >	TrainingImageIterator

typedef TTrainingImage::PixelType	TrainingImagePixelType

typedef TTrainingImage::Pointer	TrainingImagePointer

Public Member Functions
virtual void	AbortGenerateDataOff ()

virtual void	AbortGenerateDataOn ()

unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

virtual ::itk::LightObject::Pointer	CreateAnother (void) const

virtual void	DebugOff () const

virtual void	DebugOn () const

virtual void	Delete ()

void	DoProbabilityEstimates (bool prob)

void	DoShrinking (bool s)

virtual void	EnlargeOutputRequestedRegion (DataObject *)

virtual const bool &	GetAbortGenerateData ()

double	GetC (void)

int	GetCacheSize (void)

virtual unsigned int	GetCoarseOptimizationNumberOfSteps ()

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

bool	GetDoProbabilityEstimates (void)

bool	GetDoShrinking (void)

double	GetEpsilon (void)

virtual double	GetFinalCrossValidationAccuracy ()

virtual unsigned int	GetFineOptimizationNumberOfSteps ()

virtual double	GetInitialCrossValidationAccuracy ()

const TInputImage *	GetInputImage ()

DataObjectPointerArray &	GetInputs ()

double	GetKernelCoef0 (void)

virtual GenericKernelFunctorBase *	GetKernelFunctor (void) const

double	GetKernelGamma (void)

int	GetKernelType (void)

MetaDataDictionary &	GetMetaDataDictionary (void)

const MetaDataDictionary &	GetMetaDataDictionary (void) const

ModelType *	GetModel ()

const ModelType *	GetModel () const

virtual unsigned long	GetMTime () const

MultiThreader *	GetMultiThreader ()

virtual const char *	GetNameOfClass () const

double	GetNu (void)

unsigned int	GetNumberOfClasses ()

virtual unsigned int	GetNumberOfCrossValidationFolders ()

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual const int &	GetNumberOfThreads ()

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

DataObjectPointerArray &	GetOutputs ()

double	GetP (void)

virtual bool	GetParametersOptimization ()

int	GetPolynomialKernelDegree (void)

virtual const float &	GetProgress ()

virtual int	GetReferenceCount () const

virtual const bool &	GetReleaseDataBeforeUpdateFlag ()

virtual bool	GetReleaseDataFlag () const

int	GetSVMType (void)

const TTrainingImage *	GetTrainingImage ()

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual DataObjectPointer	MakeOutput (unsigned int idx)

virtual void	Modified () const

virtual void	ParametersOptimizationOff ()

virtual void	ParametersOptimizationOn ()

virtual void	PrepareOutputs ()

void	Print (std::ostream &os, Indent indent=0) const

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	Register () const

virtual void	ReleaseDataBeforeUpdateFlagOff ()

virtual void	ReleaseDataBeforeUpdateFlagOn ()

void	ReleaseDataFlagOff ()

void	ReleaseDataFlagOn ()

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

virtual void	ResetPipeline ()

virtual void	SaveModel (const char *fname)

virtual void	SaveModel (const std::string &fname)

virtual void	SetAbortGenerateData (bool _arg)

void	SetC (double c)

void	SetCacheSize (int cSize)

virtual void	SetCoarseOptimizationNumberOfSteps (unsigned int _arg)

void	SetDebug (bool debugFlag) const

void	SetEpsilon (double eps)

virtual void	SetFineOptimizationNumberOfSteps (unsigned int _arg)

void	SetInputImage (const TInputImage *inputImage)

void	SetKernelCoef0 (double coef0)

virtual void	SetKernelFunctor (GenericKernelFunctorBase *pGenericKernelFunctor)

void	SetKernelGamma (double gamma)

void	SetKernelType (int kerneltype)

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetNu (double nu)

virtual void	SetNumberOfCrossValidationFolders (unsigned int _arg)

virtual void	SetNumberOfThreads (int _arg)

void	SetP (double p)

virtual void	SetParametersOptimization (bool _arg)

void	SetPolynomialKernelDegree (int degree)

virtual void	SetProgress (float _arg)

virtual void	SetReferenceCount (int)

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual void	SetReleaseDataFlag (bool flag)

void	SetSVMType (int svmtype)

void	SetTrainingImage (const TTrainingImage *trainingImage)

virtual void	UnRegister () const

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

void	UpdateProgress (float amount)

Static Public Member Functions
static void	BreakOnError ()

static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool flag)

Protected Types
typedef int	InternalReferenceCountType

Protected Member Functions
	SVMImageModelEstimator ()

virtual	~SVMImageModelEstimator ()

virtual void	AddInput (DataObject *input)

virtual void	AddOutput (DataObject *output)

virtual void	CacheInputReleaseDataFlags ()

void	GenerateData ()

virtual void	GenerateInputRequestedRegion ()

virtual void	GenerateOutputInformation ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

DataObject *	GetInput (unsigned int idx)

const DataObject *	GetInput (unsigned int idx) const

virtual const unsigned int &	GetNumberOfRequiredInputs ()

virtual const unsigned int &	GetNumberOfRequiredOutputs ()

DataObject *	GetOutput (unsigned int idx)

const DataObject *	GetOutput (unsigned int idx) const

void	OptimizeParameters ()

virtual void	PopBackInput ()

virtual void	PopFrontInput ()

virtual void	PrepareData ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	PrintSelf (std::ostream &os, itk::Indent indent) const

virtual void	PrintTrailer (std::ostream &os, Indent indent) const

virtual void	PropagateResetPipeline ()

virtual void	PushBackInput (const DataObject *input)

virtual void	PushFrontInput (const DataObject *input)

virtual void	ReleaseInputs ()

virtual void	RemoveInput (DataObject *input)

virtual void	RemoveOutput (DataObject *output)

virtual void	RestoreInputReleaseDataFlags ()

virtual void	SetNthInput (unsigned int num, DataObject *input)

virtual void	SetNthOutput (unsigned int num, DataObject *output)

void	SetNumberOfInputs (unsigned int num)

void	SetNumberOfOutputs (unsigned int num)

virtual void	SetNumberOfRequiredInputs (unsigned int _arg)

virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)

Protected Attributes
unsigned int	m_NumberOfClasses

TimeStamp	m_OutputInformationMTime

InternalReferenceCountType	m_ReferenceCount

SimpleFastMutexLock	m_ReferenceCountLock

bool	m_Updating

Private Member Functions
	SVMImageModelEstimator (const Self &)

void	operator= (const Self &)

Detailed Description

template<class TInputImage, class TTrainingImage>
class otb::SVMImageModelEstimator< TInputImage, TTrainingImage >

Class for SVM model estimation from images used for classification.

The basic functionality of the SVMImageModelEstimator is to generate the models used in SVM classification. It requires input images and a training image to be provided by the user. This object supports data handling of multiband images. The object accepts the input image as a VectorImage only, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. A single band image is treated as a vector image with a single element for every vector. The classified image is treated as a single band scalar image.

Definition at line 47 of file otbSVMImageModelEstimator.h.

Member Typedef Documentation

template<class TInputImage , class TTrainingImage >

typedef itk::SmartPointer<const Self> otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::ConstPointer

Definition at line 58 of file otbSVMImageModelEstimator.h.

typedef DataObject::Pointer itk::ProcessObject::DataObjectPointer

inherited

Smart Pointer type to a DataObject.

Definition at line 97 of file itkProcessObject.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray

inherited

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType

inherited

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage , class TTrainingImage >

typedef itk::ImageRegionIterator<TInputImage> otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::InputImageIterator

Type definitions for the iterators for the input and training images.

Definition at line 82 of file otbSVMImageModelEstimator.h.

template<class TInputImage , class TTrainingImage >

typedef TInputImage::PixelType otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::InputImagePixelType

Type definition for the vector associated with input image pixel type.

Definition at line 74 of file otbSVMImageModelEstimator.h.

template<class TInputImage , class TTrainingImage >

typedef TInputImage::Pointer otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::InputImagePointer

Type definition for the input image.

Definition at line 64 of file otbSVMImageModelEstimator.h.

typedef int itk::LightObject::InternalReferenceCountType

protectedinherited

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 137 of file itkLightObject.h.

typedef SVMModel<TInputImage::InternalPixelType , TTrainingImage::PixelType > otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::ModelType

inherited

Model typedef

Definition at line 67 of file otbSVMModelEstimator.h.

template<class TInputImage , class TTrainingImage >

typedef itk::SmartPointer<Self> otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::Pointer

Definition at line 57 of file otbSVMImageModelEstimator.h.

template<class TInputImage , class TTrainingImage >

typedef SVMImageModelEstimator otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::Self

Standard class typedefs.

Definition at line 52 of file otbSVMImageModelEstimator.h.

template<class TInputImage , class TTrainingImage >

typedef SVMModelEstimator<typename TInputImage::PixelType::ComponentType, typename TTrainingImage::PixelType> otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::Superclass

Definition at line 55 of file otbSVMImageModelEstimator.h.

typedef SVMModelType::Pointer otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SVMModelPointer

inherited

Definition at line 83 of file otbSVMModelEstimator.h.

typedef SVMModel<TInputImage::InternalPixelType , TTrainingImage::PixelType > otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SVMModelType

inherited

Type definitions for the SVM Model.

Definition at line 82 of file otbSVMModelEstimator.h.

template<class TInputImage , class TTrainingImage >

typedef itk::ImageRegionIterator<TTrainingImage> otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::TrainingImageIterator

Definition at line 84 of file otbSVMImageModelEstimator.h.

template<class TInputImage , class TTrainingImage >

typedef TTrainingImage::PixelType otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::TrainingImagePixelType

Type definitions for the vector holding training image pixel type.

Definition at line 78 of file otbSVMImageModelEstimator.h.

template<class TInputImage , class TTrainingImage >

typedef TTrainingImage::Pointer otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::TrainingImagePointer

Type definitions for the training image.

Definition at line 70 of file otbSVMImageModelEstimator.h.

Constructor & Destructor Documentation

template<class TInputImage , class TTrainingImage >

otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SVMImageModelEstimator ( )

protected

Constructor

Definition at line 32 of file otbSVMImageModelEstimator.txx.

template<class TInputImage , class TTrainingImage >

otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::~SVMImageModelEstimator ( void )

protectedvirtual

Destructor

Definition at line 40 of file otbSVMImageModelEstimator.txx.

template<class TInputImage , class TTrainingImage >

otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SVMImageModelEstimator ( const Self & )

private

Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff ( )

virtualinherited

virtual void itk::ProcessObject::AbortGenerateDataOn ( )

virtualinherited

Turn on and off the AbortGenerateData flag.

void itk::ProcessObject::AddInput ( DataObject * input )

protectedvirtualinherited

Adds an input to the first null position in the input list. Expands the list memory if necessary

Reimplemented in otb::ObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionPrecision, TCoordRep >, otb::DescriptorsListSampleGenerator< TInputImage, TVectorData, TListSample, TLabelListSample, TOutputPrecision, TCoordRep >, otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >, and otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >.

Definition at line 144 of file itkProcessObject.cxx.

unsigned long itk::Object::AddObserver	(	const EventObject &	event,
		Command *	cmd
	)

inherited

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

Definition at line 389 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), itk::ProgressAccumulator::RegisterInternalFilter(), otb::ImageFileWriter< TInputImage >::Update(), and otb::WriterWatcherBase::WriterWatcherBase().

unsigned long itk::Object::AddObserver	(	const EventObject &	event,
		Command *	cmd
	)		const

inherited

Definition at line 401 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

void itk::ProcessObject::AddOutput ( DataObject * output )

protectedvirtualinherited

Adds an output to the first null position in the output list. Expands the list memory if necessary

Definition at line 390 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

void itk::LightObject::BreakOnError ( )

staticinherited

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

Definition at line 149 of file itkLightObject.cxx.

void itk::ProcessObject::CacheInputReleaseDataFlags ( )

protectedvirtualinherited

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

Definition at line 1050 of file itkProcessObject.cxx.

template<class TInputImage , class TTrainingImage >

virtual::itk::LightObject::Pointer otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::CreateAnother ( void ) const

virtual

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.

void itk::Object::DebugOff ( ) const

virtualinherited

Turn debugging output off.

Definition at line 253 of file itkObject.cxx.

void itk::Object::DebugOn ( ) const

virtualinherited

Turn debugging output on.

Definition at line 242 of file itkObject.cxx.

void itk::LightObject::Delete ( )

virtualinherited

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

Delete a itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C++ delete method will not work with reference counting.

Definition at line 88 of file itkLightObject.cxx.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::DoProbabilityEstimates ( bool prob )

inlineinherited

Do probability estimates

Definition at line 261 of file otbSVMModelEstimator.h.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::DoShrinking ( bool s )

inlineinherited

Use the shrinking heuristics for the training

Definition at line 248 of file otbSVMModelEstimator.h.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject * )

inlinevirtualinherited

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Definition at line 224 of file itkProcessObject.h.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GenerateData ( void )

protectedvirtualinherited

Starts the modelling process

Generate data (start the model building process)

Reimplemented from itk::ProcessObject.

void itk::ProcessObject::GenerateInputRequestedRegion ( void )

protectedvirtualinherited

What is the input requested region that is required to produce the output requested region? By default, the largest possible region is always required but this is overridden in many subclasses. For instance, for an image processing filter where an output pixel is a simple function of an input pixel, the input requested region will be set to the output requested region. For an image processing filter where an output pixel is a function of the pixels in a neighborhood of an input pixel, then the input requested region will need to be larger than the output requested region (to avoid introducing artificial boundary conditions). This function should never request an input region that is outside the the input largest possible region (i.e. implementations of this method should crop the input requested region at the boundaries of the input largest possible region).

By default we require all the input to produce the output. This is overridden in the subclasses since we can often produce the output with just a portion of the input data.

Definition at line 828 of file itkProcessObject.cxx.

void itk::ProcessObject::GenerateOutputInformation ( void )

protectedvirtualinherited

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Default implementation - copy information from first input to all outputs

Examples:: Fusion/BayesianFusionImageFilter.cxx.

Definition at line 1095 of file itkProcessObject.cxx.

Referenced by main().

void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject * output )

protectedvirtualinherited

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

By default we set all the output requested regions to be the same.

Reimplemented in otb::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< TInputImage >, otb::watershed::Segmenter< InputImageType >, itk::watershed::Segmenter< InputImageType >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, otb::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, otb::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, otb::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, otb::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, and itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >.

Definition at line 846 of file itkProcessObject.cxx.

virtual const bool& itk::ProcessObject::GetAbortGenerateData ( )

virtualinherited

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().

double otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetC ( void )

inlineinherited

Get the C parameter for the training for C_SVC, EPSILON_SVR and NU_SVR

Definition at line 215 of file otbSVMModelEstimator.h.

int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetCacheSize ( void )

inlineinherited

Get the cache size in MB for the training

Definition at line 202 of file otbSVMModelEstimator.h.

virtual unsigned int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetCoarseOptimizationNumberOfSteps ( )

virtualinherited

Command * itk::Object::GetCommand ( unsigned long tag )

inherited

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

Definition at line 414 of file itkObject.cxx.

References itk::Object::GetCommand(), and NULL.

Referenced by itk::Object::GetCommand().

bool itk::Object::GetDebug ( ) const

inherited

Get the value of the debug flag.

Definition at line 264 of file itkObject.cxx.

Referenced by otb::ogr::ImageReference< double >::GetDebug().

bool otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetDoProbabilityEstimates ( void )

inlineinherited

Get Do probability estimates boolean

Definition at line 268 of file otbSVMModelEstimator.h.

bool otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetDoShrinking ( void )

inlineinherited

Get Use the shrinking heuristics for the training boolean

Definition at line 255 of file otbSVMModelEstimator.h.

double otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetEpsilon ( void )

inlineinherited

Get the tolerance for the stopping criterion for the training

Definition at line 228 of file otbSVMModelEstimator.h.

virtual double otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetFinalCrossValidationAccuracy ( )

virtualinherited

virtual unsigned int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetFineOptimizationNumberOfSteps ( )

virtualinherited

bool itk::Object::GetGlobalWarningDisplay ( )

staticinherited

Get the value of the global debug output control flag.

Definition at line 381 of file itkObject.cxx.

virtual double otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetInitialCrossValidationAccuracy ( )

virtualinherited

Get the cross validation accuracy measures

DataObject * itk::ProcessObject::GetInput ( unsigned int idx )

protectedinherited

Method used internally for getting an input.

Definition at line 470 of file itkProcessObject.cxx.

References NULL.

const DataObject * itk::ProcessObject::GetInput ( unsigned int idx ) const

protectedinherited

Definition at line 482 of file itkProcessObject.cxx.

References NULL.

template<class TInputImage , class TTrainingImage >

const TInputImage * otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::GetInputImage ( void )

Get the input image

Definition at line 74 of file otbSVMImageModelEstimator.txx.

References itk::ProcessObject::GetInput().

DataObjectPointerArray& itk::ProcessObject::GetInputs ( )

inlineinherited

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

double otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetKernelCoef0 ( void )

inlineinherited

Get the coef0 parameter for poly/sigmoid kernels

Definition at line 176 of file otbSVMModelEstimator.h.

virtual GenericKernelFunctorBase* otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetKernelFunctor ( void ) const

inlinevirtualinherited

Get/Set methods for generic kernel functor

Definition at line 274 of file otbSVMModelEstimator.h.

double otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetKernelGamma ( void )

inlineinherited

Get the gamma parameter for poly/rbf/sigmoid kernels

Definition at line 163 of file otbSVMModelEstimator.h.

int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetKernelType ( void )

inlineinherited

Get the kernel type

Definition at line 138 of file otbSVMModelEstimator.h.

MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void )

inherited

Returns: A reference to this objects MetaDataDictionary.

Warning: This reference may be changed.

Definition at line 532 of file itkObject.cxx.

References NULL.

const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void ) const

inherited

Returns: A constant reference to this objects MetaDataDictionary.

Definition at line 543 of file itkObject.cxx.

References NULL.

ModelType* otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetModel ( )

inherited

Get the output model

const ModelType* otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetModel ( ) const

inherited

Get the output model

unsigned long itk::Object::GetMTime ( void ) const

virtualinherited

Return this objects modified time.

Return the modification for this object.

Definition at line 286 of file itkObject.cxx.

Referenced by itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), otb::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::NoStretchRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), and itk::ProcessObject::UpdateOutputInformation().

MultiThreader* itk::ProcessObject::GetMultiThreader ( )

inlineinherited

Return the multithreader used by this class.

Definition at line 280 of file itkProcessObject.h.

template<class TInputImage , class TTrainingImage >

virtual const char* otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from otb::SVMModelEstimator< TInputImage::InternalPixelType, TTrainingImage::PixelType >.

double otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetNu ( void )

inlineinherited

Set the Nu parameter for the training

Definition at line 189 of file otbSVMModelEstimator.h.

unsigned int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetNumberOfClasses ( void )

inlineinherited

Get the number of classes

Definition at line 107 of file otbSVMModelEstimator.h.

virtual unsigned int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetNumberOfCrossValidationFolders ( )

virtualinherited

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs ( ) const

inlineinherited

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 118 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs ( ) const

inlineinherited

Definition at line 135 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs ( )

protectedvirtualinherited

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs ( )

protectedvirtualinherited

virtual const int& itk::ProcessObject::GetNumberOfThreads ( )

virtualinherited

Referenced by itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion().

ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs ( ) const

virtualinherited

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Get the number of specified inputs

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 112 of file itkProcessObject.cxx.

DataObject * itk::ProcessObject::GetOutput ( unsigned int idx )

protectedinherited

Method used internally for getting an output.

Definition at line 442 of file itkProcessObject.cxx.

References NULL.

const DataObject * itk::ProcessObject::GetOutput ( unsigned int idx ) const

protectedinherited

Definition at line 454 of file itkProcessObject.cxx.

References NULL.

DataObjectPointerArray& itk::ProcessObject::GetOutputs ( )

inlineinherited

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 133 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

double otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetP ( void )

inlineinherited

Definition at line 242 of file otbSVMModelEstimator.h.

virtual bool otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetParametersOptimization ( )

virtualinherited

int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetPolynomialKernelDegree ( void )

inlineinherited

Get the degree of the polynomial kernel

Definition at line 151 of file otbSVMModelEstimator.h.

virtual const float& itk::ProcessObject::GetProgress ( )

virtualinherited

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), otb::StreamingImageVirtualWriter< TInputImage >::ObserveSourceFilterProgress(), otb::ImageFileWriter< TInputImage >::ObserveSourceFilterProgress(), itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ReportProgress(), and itk::XMLFilterWatcher::ShowProgress().

virtual int itk::LightObject::GetReferenceCount ( ) const

inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag ( )

virtualinherited

bool itk::ProcessObject::GetReleaseDataFlag ( ) const

virtualinherited

Definition at line 512 of file itkProcessObject.cxx.

int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::GetSVMType ( void )

inlineinherited

Get the SVM type (C_SVC, NU_SVC, ONE_CLASS, EPSILON_SVR, NU_SVR)

Definition at line 120 of file otbSVMModelEstimator.h.

template<class TInputImage , class TTrainingImage >

const TTrainingImage * otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::GetTrainingImage ( )

Get the training image

Definition at line 86 of file otbSVMImageModelEstimator.txx.

References itk::ProcessObject::GetInput().

static void itk::Object::GlobalWarningDisplayOff ( )

inlinestaticinherited

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

Referenced by itk::OutputWindow::DisplayText(), itk::Win32OutputWindow::PromptText(), and itk::Win32OutputWindow::WndProc().

static void itk::Object::GlobalWarningDisplayOn ( )

inlinestaticinherited

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver ( const EventObject & event ) const

inherited

Return true if an observer is registered for this event.

Definition at line 467 of file itkObject.cxx.

void itk::Object::InvokeEvent ( const EventObject & event )

inherited

Call Execute on all the Commands observing this event id.

Definition at line 446 of file itkObject.cxx.

Referenced by otb::Wrapper::Application::AddProcess(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::VTKImageExportBase::UpdateDataCallback().

void itk::Object::InvokeEvent ( const EventObject & event ) const

inherited

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

Definition at line 457 of file itkObject.cxx.

DataObject::Pointer itk::ProcessObject::MakeOutput ( unsigned int idx )

virtualinherited

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().

This is a default implementation to make sure we have something. Once all the subclasses of ProcessObject provide an appopriate MakeOutput(), then ProcessObject::MakeOutput() can be made pure virtual.

Definition at line 59 of file itkProcessObject.cxx.

References itk::SmartPointer< TObjectType >::GetPointer(), and itk::Object::New().

void itk::Object::Modified ( void ) const

virtualinherited

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Make sure this object's modified time is greater than all others.

Definition at line 297 of file itkObject.cxx.

template<class TInputImage , class TTrainingImage >

static Pointer otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::New ( )

static

Method for creation through the object factory.

template<class TInputImage , class TTrainingImage >

void otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::operator= ( const Self & )

private

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::OptimizeParameters ( )

protectedinherited

Optimize parameters

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::ParametersOptimizationOff ( )

virtualinherited

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::ParametersOptimizationOn ( )

virtualinherited

void itk::ProcessObject::PopBackInput ( )

protectedvirtualinherited

Model a stack on the input list by providing a pop back

Definition at line 245 of file itkProcessObject.cxx.

Referenced by otb::JointMassOfBeliefFilter< TMassFunction >::PopBackInput(), and itk::ImageToImageFilter< TInputImage, TOutputImage >::PopBackInput().

void itk::ProcessObject::PopFrontInput ( )

protectedvirtualinherited

Definition at line 280 of file itkProcessObject.cxx.

Referenced by otb::JointMassOfBeliefFilter< TMassFunction >::PopFrontInput(), and itk::ImageToImageFilter< TInputImage, TOutputImage >::PopFrontInput().

template<class TInputImage , class TTrainingImage >

void otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::PrepareData ( )

protectedvirtual

Implement the prepare data step from SVMModelEstimator

Generate data (start the model building process)

Reimplemented from otb::SVMModelEstimator< TInputImage::InternalPixelType, TTrainingImage::PixelType >.

Definition at line 102 of file otbSVMImageModelEstimator.txx.

References otb::SVMModel< TValue, TLabel >::AddSample(), otb::SVMModel< TValue, TLabel >::ClearSamples(), and itk::ImageRegionConstIterator< TImage >::GoToBegin().

void itk::ProcessObject::PrepareOutputs ( )

virtualinherited

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >, otb::WatershedImageFilter< TInputImage >, and otb::GeometriesSource.

Definition at line 864 of file itkProcessObject.cxx.

void itk::LightObject::Print	(	std::ostream &	os,
		Indent	indent = `0`
	)		const

inherited

Cause the object to print itself out.

Avoid DLL boundary problems. This function will be common to all itk objects. It just calls the header/self/trailer virtual print methods, which can be overriden by subclasses (any itk object).

Definition at line 135 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<().

void itk::LightObject::PrintHeader	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtualinherited

Define a default print header for all objects.

Definition at line 320 of file itkLightObject.cxx.

bool itk::Object::PrintObservers	(	std::ostream &	os,
		Indent	indent
	)		const

protectedinherited

Definition at line 478 of file itkObject.cxx.

template<class TInputImage , class TTrainingImage >

void otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::PrintSelf	(	std::ostream &	os,
		itk::Indent	indent
	)		const

protectedvirtual

PrintSelf

Reimplemented from otb::SVMModelEstimator< TInputImage::InternalPixelType, TTrainingImage::PixelType >.

Definition at line 50 of file otbSVMImageModelEstimator.txx.

void itk::LightObject::PrintTrailer	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtualinherited

Define a default print trailer for all objects.

Definition at line 331 of file itkLightObject.cxx.

void itk::ProcessObject::PropagateRequestedRegion ( DataObject * output )

virtualinherited

Send the requested region information back up the pipeline (to the filters that preceed this one).

check flag to avoid executing forever if there is a loop

Give the subclass a chance to indicate that it will provide more data then required for the output. This can happen, for example, when a source can only produce the whole output. Although this is being called for a specific output, the source may need to enlarge all outputs.

Give the subclass a chance to define how to set the requested regions for each of its outputs, given this output's requested region. The default implementation is to make all the output requested regions the same. A subclass may need to override this method if each output is a different resolution.

Give the subclass a chance to request a larger requested region on the inputs. This is necessary when, for example, a filter requires more data at the "internal" boundaries to produce the boundary values - such as an image filter that derives a new pixel value by applying some operation to a neighborhood of surrounding original values.

Now that we know the input requested region, propagate this through all the inputs.

Reimplemented in itk::VTKImageImport< TOutputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 766 of file itkProcessObject.cxx.

void itk::ProcessObject::PropagateResetPipeline ( )

protectedvirtualinherited

Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

Propagate the ResetPipeline call

Definition at line 631 of file itkProcessObject.cxx.

void itk::ProcessObject::PushBackInput ( const DataObject * input )

protectedvirtualinherited

Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

Model a queue on the input list by providing a push back

Definition at line 234 of file itkProcessObject.cxx.

Referenced by otb::OGRDataSourceToLabelImageFilter< TOutputImage >::AddOGRDataSource(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::AddVectorData(), otb::RasterizeVectorDataFilter< TVectorData, TInputImage, TOutputImage >::AddVectorData(), otb::JointMassOfBeliefFilter< TMassFunction >::PushBackInput(), and itk::ImageToImageFilter< TInputImage, TOutputImage >::PushBackInput().

void itk::ProcessObject::PushFrontInput ( const DataObject * input )

protectedvirtualinherited

Definition at line 259 of file itkProcessObject.cxx.

Referenced by otb::JointMassOfBeliefFilter< TMassFunction >::PushFrontInput(), and itk::ImageToImageFilter< TInputImage, TOutputImage >::PushFrontInput().

void itk::Object::Register ( ) const

virtualinherited

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

Definition at line 309 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory().

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff ( )

virtualinherited

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn ( )

virtualinherited

void itk::ProcessObject::ReleaseDataFlagOff ( )

inlineinherited

Definition at line 256 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn ( )

inlineinherited

Definition at line 255 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseInputs ( )

protectedvirtualinherited

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.

See Also: InPlaceImageFilter::ReleaseInputs()

Definition at line 886 of file itkProcessObject.cxx.

Referenced by otb::LabelMapSVMClassifier< TInputLabelMap >::ReleaseInputs(), itk::InPlaceImageFilter< TInputImage, TOutputImage >::ReleaseInputs(), and itk::InPlaceLabelMapFilter< TInputImage >::ReleaseInputs().

void itk::Object::RemoveAllObservers ( )

inherited

Remove all observers .

Definition at line 435 of file itkObject.cxx.

void itk::ProcessObject::RemoveInput ( DataObject * input )

protectedvirtualinherited

Remove an input.

Removes the first occurence of the given OutputObject from the inputs to this ProcessObject. If it's the last object on the list, shortens the list.

Definition at line 173 of file itkProcessObject.cxx.

void itk::Object::RemoveObserver ( unsigned long tag )

inherited

Remove the observer with this tag value.

Definition at line 425 of file itkObject.cxx.

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), and otb::ImageFileWriter< TInputImage >::Update().

void itk::ProcessObject::RemoveOutput ( DataObject * output )

protectedvirtualinherited

Definition at line 294 of file itkProcessObject.cxx.

void itk::ProcessObject::ResetPipeline ( )

virtualinherited

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

Definition at line 621 of file itkProcessObject.cxx.

Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().

void itk::ProcessObject::RestoreInputReleaseDataFlags ( )

protectedvirtualinherited

Restore the cached input ReleaseDataFlags.

Definition at line 1075 of file itkProcessObject.cxx.

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SaveModel ( const char * fname )

inlinevirtualinherited

Save the model

Definition at line 285 of file otbSVMModelEstimator.h.

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SaveModel ( const std::string & fname )

inlinevirtualinherited

Definition at line 289 of file otbSVMModelEstimator.h.

virtual void itk::ProcessObject::SetAbortGenerateData ( bool _arg )

virtualinherited

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetC ( double c )

inlineinherited

Set the C parameter for the training for C_SVC, EPSILON_SVR and NU_SVR

Definition at line 208 of file otbSVMModelEstimator.h.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetCacheSize ( int cSize )

inlineinherited

Set the cache size in MB for the training

Definition at line 195 of file otbSVMModelEstimator.h.

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetCoarseOptimizationNumberOfSteps ( unsigned int _arg )

virtualinherited

Set/Get the number of steps for the coarse optimization

void itk::Object::SetDebug ( bool debugFlag ) const

inherited

Set the value of the debug flag. A non-zero value turns debugging on.

Definition at line 275 of file itkObject.cxx.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetEpsilon ( double eps )

inlineinherited

Set the tolerance for the stopping criterion for the training

Definition at line 221 of file otbSVMModelEstimator.h.

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetFineOptimizationNumberOfSteps ( unsigned int _arg )

virtualinherited

Set/Get the number of steps for the fine optimization

void itk::Object::SetGlobalWarningDisplay ( bool val )

staticinherited

This is a global flag that controls whether any debug, warning or error messages are displayed.

Set the value of the global debug output control flag.

Definition at line 370 of file itkObject.cxx.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TInputImage , class TTrainingImage >

void otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SetInputImage ( const TInputImage * inputImage )

Set the input image

Definition at line 58 of file otbSVMImageModelEstimator.txx.

References itk::ProcessObject::SetNthInput().

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetKernelCoef0 ( double coef0 )

inlineinherited

Set the coef0 parameter for poly/sigmoid kernels

Definition at line 169 of file otbSVMModelEstimator.h.

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetKernelFunctor ( GenericKernelFunctorBase * pGenericKernelFunctor )

inlinevirtualinherited

Definition at line 278 of file otbSVMModelEstimator.h.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetKernelGamma ( double gamma )

inlineinherited

Set the gamma parameter for poly/rbf/sigmoid kernels

Definition at line 157 of file otbSVMModelEstimator.h.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetKernelType ( int kerneltype )

inlineinherited

Set the kernel type to LINEAR, POLY, RBF, SIGMOID

linear:
polynomial: $(\gamma*u'*v + coef0)^{degree}$
radial basis function: $exp(-\gamma*|u-v|^2)$
sigmoid: $tanh(\gamma*u'*v + coef0)$

Definition at line 131 of file otbSVMModelEstimator.h.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary & rhs )

inherited

Returns: Set the MetaDataDictionary

Definition at line 554 of file itkObject.cxx.

References NULL.

Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().

void itk::ProcessObject::SetNthInput	(	unsigned int	idx,
		DataObject *	input
	)

protectedvirtualinherited

Protected methods for setting inputs. Subclasses make use of them for setting input.

Set an Input of this filter. This method does Register()/UnRegister() manually to deal with the fact that smart pointers aren't around to do the reference counting.

Reimplemented in itk::ImageToVectorImageFilter< TInputImage >.

Definition at line 210 of file itkProcessObject.cxx.

void itk::ProcessObject::SetNthOutput	(	unsigned int	idx,
		DataObject *	output
	)

protectedvirtualinherited

Protected methods for setting outputs. Subclasses make use of them for getting output.

Set an output of this filter. This method specifically does not do a Register()/UnRegister() because of the desire to break the reference counting loop.

Definition at line 333 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetNu ( double nu )

inlineinherited

Set the Nu parameter for the training

Definition at line 182 of file otbSVMModelEstimator.h.

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetNumberOfCrossValidationFolders ( unsigned int _arg )

virtualinherited

Set/Get the number of cross validation folders

void itk::ProcessObject::SetNumberOfInputs ( unsigned int num )

protectedinherited

Called to allocate the input array. Copies old inputs.

Called by constructor to set up input array.

Definition at line 96 of file itkProcessObject.cxx.

Referenced by otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int num )

protectedinherited

Called to allocate the output array. Copies old outputs.

Called by constructor to set up output array.

Definition at line 424 of file itkProcessObject.cxx.

Referenced by otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int _arg )

protectedvirtualinherited

Referenced by itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::FastMarchingImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::ImageToLabelMapWithAttributesFilter(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >::PasteImageFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int _arg )

protectedvirtualinherited

Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BalloonForceFilter< TInputMesh, TOutputMesh >::BalloonForceFilter(), itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh >::DeformableMesh3DFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::GeometriesSource::GeometriesSource(), itk::ImageSource< TOutputImage >::ImageSource(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), otb::OSMDataToVectorDataGenerator::OSMDataToVectorDataGenerator(), itk::PathSource< TOutputPath >::PathSource(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), otb::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), itk::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::TwoOutputExampleImageFilter< TImage >::TwoOutputExampleImageFilter(), and itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader().

virtual void itk::ProcessObject::SetNumberOfThreads ( int _arg )

virtualinherited

Get/Set the number of threads to create when executing.

Referenced by itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivative(), itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativePos(), and itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >::PrecalculateChange().

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetP ( double p )

inlineinherited

Definition at line 234 of file otbSVMModelEstimator.h.

virtual void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetParametersOptimization ( bool _arg )

virtualinherited

Activate/Deactivate parameters optimization

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetPolynomialKernelDegree ( int degree )

inlineinherited

Set the degree of the polynomial kernel

Definition at line 144 of file otbSVMModelEstimator.h.

virtual void itk::ProcessObject::SetProgress ( float _arg )

virtualinherited

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

void itk::Object::SetReferenceCount ( int ref )

virtualinherited

Sets the reference count (use with care)

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 347 of file itkObject.cxx.

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool _arg )

virtualinherited

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

void itk::ProcessObject::SetReleaseDataFlag ( bool flag )

virtualinherited

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 528 of file itkProcessObject.cxx.

void otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::SetSVMType ( int svmtype )

inlineinherited

Set the SVM type to ONE_CLASS, C_SVC, NU_SVC, ONE_CLASS, EPSILON_SVR, NU_SVR

Definition at line 113 of file otbSVMModelEstimator.h.

template<class TInputImage , class TTrainingImage >

void otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SetTrainingImage ( const TTrainingImage * trainingImage )

Set the training image

Definition at line 66 of file otbSVMImageModelEstimator.txx.

References itk::ProcessObject::SetNthInput().

void itk::Object::UnRegister ( ) const

virtualinherited

Decrease the reference count (release by another object).

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 324 of file itkObject.cxx.

Referenced by itk::Object::New(), and itk::ObjectFactoryBase::UnRegisterFactory().

void itk::ProcessObject::Update ( void )

virtualinherited

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

The following methods are used to coordinate the execution of the data processing pipeline.

Definition at line 611 of file itkProcessObject.cxx.

Referenced by otb::ImageSeriesFileReader< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), itk::AutoCropLabelMapFilter< TInputImage >::GenerateOutputInformation(), itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation(), and itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >::RunSegmentOneStep().

void itk::ProcessObject::UpdateLargestPossibleRegion ( )

virtualinherited

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

Definition at line 1120 of file itkProcessObject.cxx.

void itk::ProcessObject::UpdateOutputData ( DataObject * output )

virtualinherited

Actually generate new output

prevent chasing our tail

Prepare all the outputs. This may deallocate previous bulk data.

Propagate the update call - make sure everything we might rely on is up-to-date Must call PropagateRequestedRegion before UpdateOutputData if multiple inputs since they may lead back to the same data object.

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

Tell all Observers that the filter is starting

GenerateData this object - we have not aborted yet, and our progress before we start to execute is 0.0.

Count the number of required inputs which have been assigned

If we ended due to aborting, push the progress up to 1.0 (since it probably didn't end there)

Notify end event observers

Now we have to mark the data as up to date.

Restore the state of any input ReleaseDataFlags

Release any inputs if marked for release

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 908 of file itkProcessObject.cxx.

void itk::ProcessObject::UpdateOutputInformation ( void )

virtualinherited

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Watch out for loops in the pipeline

Since we are in a loop, we will want to update. But if we don't modify this filter, then we will not execute because our OutputInformationMTime will be more recent than the MTime of our output.

We now wish to set the PipelineMTime of each output DataObject to the largest of this ProcessObject's MTime, all input DataObject's PipelineMTime, and all input's MTime. We begin with the MTime of this ProcessObject.

Loop through the inputs

Propagate the UpdateOutputInformation call

What is the PipelineMTime of this input? Compare this against our current computation to find the largest one.

Pipeline MTime of the input does not include the MTime of the data object itself. Factor these mtimes into the next PipelineMTime

Call GenerateOutputInformation for subclass specific information. Since UpdateOutputInformation propagates all the way up the pipeline, we need to be careful here to call GenerateOutputInformation only if necessary. Otherwise, we may cause this source to be modified which will cause it to execute again on the next update.

Keep track of the last time GenerateOutputInformation() was called

Reimplemented in otb::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< TInputImage >, otb::watershed::Segmenter< InputImageType >, itk::watershed::Segmenter< InputImageType >, and itk::VTKImageImport< TOutputImage >.

Definition at line 664 of file itkProcessObject.cxx.

References itk::Object::GetMTime(), itk::DataObject::GetPipelineMTime(), itk::DataObject::SetPipelineMTime(), and itk::DataObject::UpdateOutputInformation().

Referenced by itk::VTKImageExportBase::UpdateInformationCallback().

void itk::ProcessObject::UpdateProgress ( float amount )

inherited

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

Update the progress of the process object. If a ProgressMethod exists, execute it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).

Definition at line 500 of file itkProcessObject.cxx.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), otb::otb_UpdateGDALProgress(), itk::ProgressReporter::ProgressReporter(), and itk::ProgressReporter::~ProgressReporter().

Member Data Documentation

unsigned int otb::SVMModelEstimator< TInputImage::InternalPixelType , TTrainingImage::PixelType >::m_NumberOfClasses

protectedinherited

The number of classes

Definition at line 313 of file otbSVMModelEstimator.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime

protectedinherited

Time when GenerateOutputInformation was last called.

Definition at line 421 of file itkProcessObject.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount

mutableprotectedinherited

Number of uses of this object by other objects.

Definition at line 141 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock

mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 144 of file itkLightObject.h.

bool itk::ProcessObject::m_Updating

protectedinherited

These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 418 of file itkProcessObject.h.

The documentation for this class was generated from the following files:

Public Types

Public Member Functions

Static Public Member Functions

Protected Types

Protected Member Functions

Protected Attributes

Private Member Functions

Detailed Description

template<class TInputImage, class TTrainingImage> class otb::SVMImageModelEstimator< TInputImage, TTrainingImage >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class TInputImage, class TTrainingImage>
class otb::SVMImageModelEstimator< TInputImage, TTrainingImage >