#include <otbLearningApplicationBase.h>

Inheritance diagram for otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >:

Collaboration diagram for otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >:

Public Types
enum	ClassifierCategory { Supervised, Unsupervised }

typedef itk::SmartPointer< const Self >	ConstPointer

typedef TInputValue	InputValueType

typedef ModelType::InputListSampleType	ListSampleType

typedef otb::MachineLearningModelFactory< InputValueType, OutputValueType >	ModelFactoryType

typedef ModelFactoryType::MachineLearningModelTypePointer	ModelPointerType

typedef ModelFactoryType::MachineLearningModelType	ModelType

typedef TOutputValue	OutputValueType

typedef SampleImageType::PixelType	PixelType

typedef itk::SmartPointer< Self >	Pointer

typedef otb::VectorImage< InputValueType >	SampleImageType

typedef ModelType::InputSampleType	SampleType

typedef LearningApplicationBase	Self

typedef Application	Superclass

typedef ModelType::TargetListSampleType	TargetListSampleType

typedef ModelType::TargetSampleType	TargetSampleType

typedef ModelType::TargetValueType	TargetValueType

Public Types inherited from otb::Wrapper::Application
typedef itk::SmartPointer< const Self >	ConstPointer

typedef itk::SmartPointer< Self >	Pointer

typedef Application	Self

typedef itk::Object	Superclass

Public Member Functions
ClassifierCategory	GetClassifierCategory ()

virtual const char *	GetNameOfClass () const

virtual const std::vector< std::string > &	GetSupervisedClassifier () const

virtual const std::vector< std::string > &	GetUnsupervisedClassifier () const

Public Member Functions inherited from otb::Wrapper::Application
void	AddDocTag (const std::string &)

unsigned int	AddExample (const std::string &comm="")

void	AddImageToParameterInputImageList (std::string const &parameter, ImageBaseType *img)

void	AddParameterStringList (std::string const &parameter, const std::string &str)

void	ClearParameterInputImageList (std::string const &parameter)

void	ClearValue (std::string const &paramKey)

bool	ConnectImage (std::string in, Application *app, std::string out)

void	DisableParameter (std::string const &paramKey)

void	EnableParameter (std::string const &paramKey)

int	Execute ()

int	ExecuteAndWriteOutput ()

std::vector< std::string >	GetChoiceKeys (std::string const &paramKey)

std::vector< std::string >	GetChoiceNames (std::string const &paramKey)

std::string	GetCLExample ()

double	GetDefaultParameterDouble (std::string const &parameter)

float	GetDefaultParameterFloat (std::string const &parameter)

int	GetDefaultParameterInt (std::string const &parameter)

virtual const char *	GetDescription () const

virtual const char *	GetDocAuthors () const

DocExampleStructure::Pointer	GetDocExample ()

virtual const char *	GetDocLimitations () const

virtual const std::string &	GetDocLink () const

virtual const char *	GetDocLongDescription () const

virtual const char *	GetDocSeeAlso () const

virtual std::vector< std::string >	GetDocTags () const

std::string	GetExampleComment (unsigned int id)

unsigned int	GetExampleNumberOfParameters (unsigned int id)

std::string	GetExampleParameterKey (unsigned int exId, unsigned int paramId)

std::string	GetExampleParameterValue (unsigned int exId, unsigned int paramId)

std::string	GetHtmlExample ()

unsigned int	GetImageNbBands (const std::string &key, unsigned int idx=0)

ImageBaseType::PointType	GetImageOrigin (const std::string &key, unsigned int idx=0)

std::string	GetImageProjection (const std::string &key, unsigned int idx=0)

ImageBaseType::RegionType	GetImageRequestedRegion (const std::string &key, unsigned int idx=0)

ImageBaseType::SizeType	GetImageSize (const std::string &key, unsigned int idx=0)

ImageBaseType::SpacingType	GetImageSpacing (const std::string &key, unsigned int idx=0)

double	GetLastExecutionTiming () const

bool	GetListViewSingleSelectionMode (const std::string &parameter)

otb::Logger *	GetLogger () const

virtual const char *	GetName () const

unsigned int	GetNumberOfElementsInParameterInputImageList (std::string const &parameter)

unsigned int	GetNumberOfExamples ()

std::vector< std::pair< std::string, std::string > >	GetOutputParametersSumUp ()

std::string	GetParameterAsString (std::string const &paramKey)

Parameter *	GetParameterByKey (std::string const &parameter, bool follow=true)

const Parameter *	GetParameterByKey (std::string const &parameter, bool follow=true) const

ComplexDoubleImageType *	GetParameterComplexDoubleImage (std::string const &)

ComplexDoubleVectorImageType *	GetParameterComplexDoubleVectorImage (std::string const &)

ComplexFloatImageType *	GetParameterComplexFloatImage (std::string const &)

ComplexFloatVectorImageType *	GetParameterComplexFloatVectorImage (std::string const &)

ComplexInt16ImageType *	GetParameterComplexInt16Image (std::string const &)

ComplexInt16VectorImageType *	GetParameterComplexInt16VectorImage (std::string const &)

ComplexInt32ImageType *	GetParameterComplexInt32Image (std::string const &)

ComplexInt32VectorImageType *	GetParameterComplexInt32VectorImage (std::string const &)

std::string	GetParameterDescription (std::string const &paramKey)

double	GetParameterDouble (std::string const &parameter) const

DoubleImageType *	GetParameterDoubleImage (std::string const &)

DoubleVectorImageType *	GetParameterDoubleVectorImage (std::string const &)

float	GetParameterFloat (std::string const &parameter) const

FloatImageType *	GetParameterFloatImage (std::string const &)

FloatVectorImageType *	GetParameterFloatVectorImage (std::string const &)

FloatVectorImageType *	GetParameterImage (std::string const &parameter)

FloatVectorImageListType *	GetParameterImageList (std::string const &parameter)

int	GetParameterInt (std::string const &parameter) const

Int16ImageType *	GetParameterInt16Image (std::string const &)

Int16VectorImageType *	GetParameterInt16VectorImage (std::string const &)

Int32ImageType *	GetParameterInt32Image (std::string const &)

Int32VectorImageType *	GetParameterInt32VectorImage (std::string const &)

ParameterGroup *	GetParameterList ()

std::string	GetParameterName (std::string const &paramKey)

ImageBaseType *	GetParameterOutputImage (std::string const &parameter)

ImagePixelType	GetParameterOutputImagePixelType (std::string const &parameter)

Role	GetParameterRole (std::string const &paramKey) const

std::vector< std::string >	GetParametersKeys (bool recursive=true)

std::string	GetParameterString (std::string const &parameter) const

std::vector< std::string >	GetParameterStringList (const std::string &parameter)

ParameterType	GetParameterType (std::string const &paramKey) const

UInt16ImageType *	GetParameterUInt16Image (std::string const &)

UInt16VectorImageType *	GetParameterUInt16VectorImage (std::string const &)

UInt32ImageType *	GetParameterUInt32Image (std::string const &)

UInt32VectorImageType *	GetParameterUInt32VectorImage (std::string const &)

UInt8ImageType *	GetParameterUInt8Image (std::string const &)

UInt8RGBAImageType *	GetParameterUInt8RGBAImage (std::string const &)

UInt8RGBImageType *	GetParameterUInt8RGBImage (std::string const &)

UInt8VectorImageType *	GetParameterUInt8VectorImage (std::string const &)

UserLevel	GetParameterUserLevel (std::string const &paramKey) const

VectorDataType *	GetParameterVectorData (std::string const &parameter)

VectorDataListType *	GetParameterVectorDataList (std::string const &parameter)

std::string	GetProgressDescription () const

itk::ProcessObject *	GetProgressSource () const

const FieldParameter::TypeFilterType &	GetTypeFilter (std::string const &key) const

bool	HasAutomaticValue (std::string const &paramKey) const

bool	HasUserValue (std::string const &paramKey) const

bool	HasValue (std::string const &paramKey) const

void	Init ()

bool	IsApplicationReady ()

bool	IsDeprecated ()

bool	IsInitialized () const

bool	IsMandatory (std::string const &paramKey) const

bool	IsParameterEnabled (std::string const &paramKey, bool recurseParents=false) const

bool	IsParameterMissing (const std::string &key) const

void	LoadParametersFromXML (const std::string &filename)

void	PropagateConnectMode (bool isMem)

unsigned long	PropagateRequestedRegion (const std::string &key, ImageBaseType::RegionType region, unsigned int idx=0)

void	SaveParametersToXML (const std::string &filename)

void	SetDefaultOutputComplexPixelType (std::string const &parameter, ComplexImagePixelType type)

void	SetDefaultOutputPixelType (std::string const &parameter, ImagePixelType type)

void	SetDefaultParameterDouble (std::string const &parameter, double value)

void	SetDefaultParameterFloat (std::string const &parameter, float value)

void	SetDefaultParameterInt (std::string const &parameter, int value)

void	SetDescription (const std::string &)

virtual void	SetDocAuthors (const std::string &)

void	SetDocExampleParameterValue (const std::string key, const std::string value, unsigned int exId=0)

virtual void	SetDocLimitations (const std::string &)

virtual void	SetDocLink (const std::string &link)

virtual void	SetDocLongDescription (const std::string &)

virtual void	SetDocSeeAlso (const std::string &)

virtual void	SetDocTags (std::vector< std::string >)

void	SetExampleComment (const std::string &comm, unsigned int i)

void	SetListViewSingleSelectionMode (std::string const &parameter, bool status)

void	SetLogger (otb::Logger *logger)

void	SetMaximumParameterDoubleValue (std::string const &parameter, double value)

void	SetMaximumParameterFloatValue (std::string const &parameter, float value)

void	SetMaximumParameterIntValue (std::string const &parameter, int value)

void	SetMinimumParameterDoubleValue (std::string const &parameter, double value)

void	SetMinimumParameterFloatValue (std::string const &parameter, float value)

void	SetMinimumParameterIntValue (std::string const &parameter, int value)

virtual void	SetName (const std::string &)

void	SetNthParameterInputImageList (std::string const &parameter, const unsigned int &id, ImageBaseType *img)

void	SetNthParameterStringList (std::string const &parameter, const unsigned int &id, const std::string &str)

void	SetOfficialDocLink ()

void	SetParameterDescription (std::string const &paramKey, std::string dec)

void	SetParameterDouble (std::string const &parameter, double value, bool hasUserValueFlag=true)

void	SetParameterFloat (std::string const &parameter, float value, bool hasUserValueFlag=true)

void	SetParameterInputImage (std::string const &parameter, ImageBaseType *inputImage)

void	SetParameterInt (std::string const &parameter, int value, bool hasUserValueFlag=true)

void	SetParameterList (ParameterGroup::Pointer paramGroup)

void	SetParameterOutputImage (std::string const &parameter, FloatVectorImageType *value)

void	SetParameterOutputImagePixelType (std::string const &parameter, ImagePixelType pixelType)

void	SetParameterOutputVectorData (std::string const &parameter, VectorDataType *value)

void	SetParameterString (std::string const &parameter, std::string value, bool hasUserValueFlag=true)

void	SetParameterStringList (std::string const &parameter, std::vector< std::string > values, bool hasUserValueFlag=true)

void	SetParameterUserValue (std::string const &paramKey, bool value)

void	SetRasterData (std::string const &key, std::string const &rasterData)

void	SetTypeFilter (std::string const &key, FieldParameter::TypeFilterType const &typeFilter)

void	SetVectorData (std::string const &key, std::string const &vectorData)

void	Stop ()

void	UpdateParameters ()

void	WriteOutput ()

ImageMetadata &	GetImageMetadata (const std::string &key, unsigned int idx=0)

void	SetImageMetadata (const ImageMetadata &imd, const std::string &key, unsigned int idx=0)

itk::MetaDataDictionary	GetMetadataDictionary (const std::string &key, unsigned int idx=0)

ImagePixelType	GetImageBasePixelType (const std::string &key, unsigned int idx=0)

ImageBaseType *	GetParameterImageBase (const std::string &key, unsigned int idx=0)

void	SetParameterImageBase (const std::string &key, ImageBaseType *img, unsigned int idx=0)

void	RegisterPipeline ()

void	FreeRessources ()

bool	IsExecuteDone ()

bool	IsMultiWritingEnabled ()

Protected Member Functions
TargetListSampleType::Pointer	Classify (typename ListSampleType::Pointer validationListSample, std::string modelPath)

void	DoInit () override

	LearningApplicationBase ()

void	Train (typename ListSampleType::Pointer trainingListSample, typename TargetListSampleType::Pointer trainingLabeledListSample, std::string modelPath)

	~LearningApplicationBase () override

Protected Member Functions inherited from otb::Wrapper::Application
	Application ()

	~Application () override

void	AddProcess (itk::ProcessObject *object, std::string description)

void	AddChoice (std::string const &paramKey, std::string const &paramName)

void	AddParameter (ParameterType type, std::string const &paramKey, std::string const &paramName)

void	AddRAMParameter (std::string const &paramKey="ram")

void	AddRAMParameter (std::string const &paramKey, std::string const &paramName, unsigned int defaultValue)

void	AddRANDParameter (std::string const &paramKey="rand")

void	AddRANDParameter (std::string const &paramKey, std::string const &paramName, unsigned int defaultValue)

void	ClearChoices (std::string const &key)

std::vector< int >	GetSelectedItems (std::string const &paramKey)

void	MandatoryOn (std::string const &paramKey)

void	MandatoryOff (std::string const &paramKey)

void	SetParameterUserLevel (std::string const &paramKey, UserLevel level)

void	SetParameterRole (std::string const &paramKey, Role role)

template<class TImageType >
TImageType *	GetParameterImage (std::string const &parameter)

void	AutomaticValueOn (std::string const &paramKey)

void	AutomaticValueOff (std::string const &paramKey)

template<class TImageType >
void	SetParameterOutputImage (std::string const &parameter, TImageType *value)

virtual void	SetMultiWriting (bool _arg)

void	EnableInPrivateDo ()

void	DisableInPrivateDo ()

Protected Attributes
bool	m_RegressionFlag

Private Member Functions
void	InitSupervisedClassifierParams ()

void	InitUnsupervisedClassifierParams ()

Private Attributes
std::vector< std::string >	m_SupervisedClassifier

std::vector< std::string >	m_UnsupervisedClassifier

Detailed Description

template<class TInputValue, class TOutputValue>
class otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >

LearningApplicationBase is the base class for application that use machine learning model.

This base class offers a DoInit() method to initialize all the parameters related to machine learning models. They will all be in the choice parameter named "classifier". The class also offers generic Train() and Classify() methods. The classes derived from LearningApplicationBase only need these 3 methods to handle the machine learning model.

There are multiple machine learning models in OTB, some imported from OpenCV and one imported from LibSVM. They all have different parameters. The purpose of this class is to handle the creation of all parameters related to machine learning models (in DoInit() ), and to dispatch the calls to specific train functions in function Train().

This class is templated over scalar types for input and output values. Typically, the input value type will be either float of double. The choice of an output value type depends on the learning mode. This base class supports both classification and regression modes. For classification (enabled by default), the output value type corresponds to a class identifier so integer types suit well. For regression, the output value should not be an integer type, but rather a floating point type. In addition, an application deriving this base class for regression should initialize the m_RegressionFlag to true in their constructor.

See also: TrainImagesClassifier; TrainRegression

Definition at line 75 of file otbLearningApplicationBase.h.

Member Typedef Documentation

◆ ConstPointer

template<class TInputValue , class TOutputValue >

typedef itk::SmartPointer<const Self> otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::ConstPointer

Definition at line 82 of file otbLearningApplicationBase.h.

◆ InputValueType

template<class TInputValue , class TOutputValue >

typedef TInputValue otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::InputValueType

Definition at line 85 of file otbLearningApplicationBase.h.

◆ ListSampleType

template<class TInputValue , class TOutputValue >

typedef ModelType::InputListSampleType otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::ListSampleType

Definition at line 99 of file otbLearningApplicationBase.h.

◆ ModelFactoryType

template<class TInputValue , class TOutputValue >

typedef otb::MachineLearningModelFactory<InputValueType, OutputValueType> otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::ModelFactoryType

Definition at line 94 of file otbLearningApplicationBase.h.

◆ ModelPointerType

template<class TInputValue , class TOutputValue >

typedef ModelFactoryType::MachineLearningModelTypePointer otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::ModelPointerType

Definition at line 95 of file otbLearningApplicationBase.h.

◆ ModelType

template<class TInputValue , class TOutputValue >

typedef ModelFactoryType::MachineLearningModelType otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::ModelType

Definition at line 96 of file otbLearningApplicationBase.h.

◆ OutputValueType

template<class TInputValue , class TOutputValue >

typedef TOutputValue otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::OutputValueType

Definition at line 88 of file otbLearningApplicationBase.h.

◆ PixelType

template<class TInputValue , class TOutputValue >

typedef SampleImageType::PixelType otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::PixelType

Definition at line 91 of file otbLearningApplicationBase.h.

◆ Pointer

template<class TInputValue , class TOutputValue >

typedef itk::SmartPointer<Self> otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::Pointer

Definition at line 81 of file otbLearningApplicationBase.h.

◆ SampleImageType

template<class TInputValue , class TOutputValue >

typedef otb::VectorImage<InputValueType> otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::SampleImageType

Definition at line 90 of file otbLearningApplicationBase.h.

◆ SampleType

template<class TInputValue , class TOutputValue >

typedef ModelType::InputSampleType otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::SampleType

Definition at line 98 of file otbLearningApplicationBase.h.

◆ Self

template<class TInputValue , class TOutputValue >

typedef LearningApplicationBase otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::Self

Standard class typedefs.

Definition at line 79 of file otbLearningApplicationBase.h.

◆ Superclass

template<class TInputValue , class TOutputValue >

typedef Application otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::Superclass

Definition at line 80 of file otbLearningApplicationBase.h.

◆ TargetListSampleType

template<class TInputValue , class TOutputValue >

typedef ModelType::TargetListSampleType otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::TargetListSampleType

Definition at line 102 of file otbLearningApplicationBase.h.

◆ TargetSampleType

template<class TInputValue , class TOutputValue >

typedef ModelType::TargetSampleType otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::TargetSampleType

Definition at line 101 of file otbLearningApplicationBase.h.

◆ TargetValueType

template<class TInputValue , class TOutputValue >

typedef ModelType::TargetValueType otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::TargetValueType

Definition at line 103 of file otbLearningApplicationBase.h.

Member Enumeration Documentation

◆ ClassifierCategory

template<class TInputValue , class TOutputValue >

enum otb::Wrapper::LearningApplicationBase::ClassifierCategory

Enumerator
Supervised
Unsupervised

Definition at line 108 of file otbLearningApplicationBase.h.

Constructor & Destructor Documentation

◆ LearningApplicationBase()

template<class TInputValue , class TOutputValue >

otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::LearningApplicationBase

protected

Definition at line 34 of file otbLearningApplicationBase.hxx.

◆ ~LearningApplicationBase()

template<class TInputValue , class TOutputValue >

otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::~LearningApplicationBase

overrideprotected

Definition at line 40 of file otbLearningApplicationBase.hxx.

Member Function Documentation

◆ Classify()

template<class TInputValue , class TOutputValue >

LearningApplicationBase< TInputValue, TOutputValue >::TargetListSampleType::Pointer otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::Classify	(	typename ListSampleType::Pointer	validationListSample,
		std::string	modelPath
	)

protected

Generic method to load a model file and use it to classify a sample list

Definition at line 124 of file otbLearningApplicationBase.hxx.

References otb::RGBAPixelConverter< TInternalInputPixelType, TOutputPixelType >::New(), and otbAppLogFATAL.

◆ DoInit()

template<class TInputValue , class TOutputValue >

void otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::DoInit

overrideprotectedvirtual

Init method that creates all the parameters for machine learning models

Implements otb::Wrapper::Application.

Reimplemented in otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >.

Definition at line 46 of file otbLearningApplicationBase.hxx.

References otb::Wrapper::Tags::Learning, and otb::Wrapper::ParameterType_Choice.

◆ GetClassifierCategory()

template<class TInputValue , class TOutputValue >

LearningApplicationBase< TInputValue, TOutputValue >::ClassifierCategory otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::GetClassifierCategory

Retrieve the classifier category (supervisde or unsupervised) based on the select algorithm from the classifier choice.

Returns: ClassifierCategory the classifier category

Definition at line 65 of file otbLearningApplicationBase.hxx.

References otb::string_view::end(), and otb::find().

◆ GetNameOfClass()

template<class TInputValue , class TOutputValue >

virtual const char* otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::GetNameOfClass ( ) const

virtual

Standard macro

Reimplemented from otb::Wrapper::Application.

Reimplemented in otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >.

◆ GetSupervisedClassifier()

template<class TInputValue , class TOutputValue >

virtual const std::vector<std::string>& otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::GetSupervisedClassifier ( ) const

virtual

◆ GetUnsupervisedClassifier()

template<class TInputValue , class TOutputValue >

virtual const std::vector<std::string>& otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::GetUnsupervisedClassifier ( ) const

virtual

◆ InitSupervisedClassifierParams()

template<class TInputValue , class TOutputValue >

void otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::InitSupervisedClassifierParams

private

Specific Init and Train methods for each machine learning model Init Parameters for Supervised Classifier

Definition at line 80 of file otbLearningApplicationBase.hxx.

◆ InitUnsupervisedClassifierParams()

template<class TInputValue , class TOutputValue >

void otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::InitUnsupervisedClassifierParams

private

Init Parameters for Unsupervised Classifier

Definition at line 112 of file otbLearningApplicationBase.hxx.

◆ Train()

template<class TInputValue , class TOutputValue >

void otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::Train	(	typename ListSampleType::Pointer	trainingListSample,
		typename TargetListSampleType::Pointer	trainingLabeledListSample,
		std::string	modelPath
	)

protected

Generic method to train and save the machine learning model. This method uses specific train methods depending on the chosen model.

Definition at line 153 of file otbLearningApplicationBase.hxx.

References otb::RGBAPixelConverter< TInternalInputPixelType, TOutputPixelType >::New(), otbAppLogFATAL, and otbAppLogINFO.

Member Data Documentation

◆ m_RegressionFlag

template<class TInputValue , class TOutputValue >

bool otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::m_RegressionFlag

protected

Flag to switch between classification and regression mode. False by default, child classes may change it in their constructor

Definition at line 138 of file otbLearningApplicationBase.h.

◆ m_SupervisedClassifier

template<class TInputValue , class TOutputValue >

std::vector<std::string> otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::m_SupervisedClassifier

private

Definition at line 145 of file otbLearningApplicationBase.h.

◆ m_UnsupervisedClassifier

template<class TInputValue , class TOutputValue >

std::vector<std::string> otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >::m_UnsupervisedClassifier

private

Definition at line 149 of file otbLearningApplicationBase.h.

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

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Private Member Functions

Private Attributes

Detailed Description

template<class TInputValue, class TOutputValue> class otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >

Member Typedef Documentation

◆ ConstPointer

◆ InputValueType

◆ ListSampleType

◆ ModelFactoryType

◆ ModelPointerType

◆ ModelType

◆ OutputValueType

◆ PixelType

◆ Pointer

◆ SampleImageType

◆ SampleType

◆ Self

◆ Superclass

◆ TargetListSampleType

◆ TargetSampleType

◆ TargetValueType

Member Enumeration Documentation

◆ ClassifierCategory

Constructor & Destructor Documentation

◆ LearningApplicationBase()

◆ ~LearningApplicationBase()

Member Function Documentation

◆ Classify()

◆ DoInit()

◆ GetClassifierCategory()

◆ GetNameOfClass()

◆ GetSupervisedClassifier()

◆ GetUnsupervisedClassifier()

◆ InitSupervisedClassifierParams()

◆ InitUnsupervisedClassifierParams()

◆ Train()

Member Data Documentation

◆ m_RegressionFlag

◆ m_SupervisedClassifier

◆ m_UnsupervisedClassifier

template<class TInputValue, class TOutputValue>
class otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >