BoostableClassifier< WeakClassifier > Struct Template Reference

#include <BoostableClassifier.h>

Inherits WeakClassifier.

Inherited by SoftCascadeStage< WeakClassifier >.

Public Types
typedef WeakClassifier	WeakClassifierType

Public Member Functions
	BoostableClassifier (const WeakClassifier &weak, float a)
template<class R , class P1 , class P2 >
	BoostableClassifier (const R &src, P1 p1, P2 p2)
	build and convert costructor with 2 parameters
template<class R , class P0 , class P1 , class P2 >
	BoostableClassifier (const R &src, P0 p0, P1 p1, P2 p2)
	build and convert costructor with 3 parameters
template<class DataType >
float	operator() (const DataType data) const
template<class DataType , class TParam1 >
float	operator() (const DataType data, TParam1 stride) const
float	getAlpha () const

Static Public Member Functions
static std::string	signature ()

Public Attributes
float	alpha
	Weight associated to this classifier.

Static Public Attributes
static const ClassifierType	Type = RealClassifier
	BoostableClassifier convert a DiscreteClassifier in a RealClassifier.

Detailed Description

template<class WeakClassifier>
struct BoostableClassifier< WeakClassifier >

Expand a binary weak classifier in order to become an ensemble learner. An ensemple learner with a weight associated to classifier. WeakClassifier must implement a method operator() that returns {-1|+1}

Note

WeakClassifier must be a Discrete Weak Classifier, Single or MultiClass TODO: change name in BoostedClassifier

Member Function Documentation

template<class WeakClassifier>

float BoostableClassifier< WeakClassifier >::getAlpha ( ) const

inline

return the maxima response (in absolute value) of this classifier.

Returns

the inner alpha (used only for debug purpose usually)

template<class WeakClassifier >

template<class DataType >

float BoostableClassifier< WeakClassifier >::operator() ( const DataType  data ) const

inline

evaluate integral image and return alpha/-alpha according to binary class

template<class WeakClassifier >

template<class DataType , class TParam1 >

float BoostableClassifier< WeakClassifier >::operator() ( const DataType  data, TParam1  stride  ) const

inline

evaluate integral image and return alpha/-alpha according to binary class

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The documentation for this struct was generated from the following file:

• include/Classifier/BoostableClassifier.h