Dense Inference for Dense CRF. More...

#include <InferDense.h>

Inheritance diagram for DirectGraphicalModels::CInferDense:

Collaboration diagram for DirectGraphicalModels::CInferDense:

Public Member Functions
	CInferDense (CGraphDense &graph)
	Constructor. More...

virtual	~CInferDense (void)=default

virtual void	infer (unsigned int nIt=1)
	Inference. More...

Public Member Functions inherited from DirectGraphicalModels::CInfer
	CInfer (CGraph &graph)
	Constructor. More...

	CInfer (const CInfer &)=delete

virtual	~CInfer ()=default

const CInfer &	operator= (const CInfer &)=delete

vec_byte_t	decode (unsigned int nIt=0, Mat &lossMatrix=EmptyMat)
	Approximate decoding. More...

vec_float_t	getConfidence (void) const
	Returns the confidence of the perdiction. More...

vec_float_t	getPotentials (byte state) const
	Returns the potnetials for the selected state (class) More...

Protected Member Functions
CGraphDense &	getGraphDense (void) const
	Returns the dense graph. More...

Protected Member Functions inherited from DirectGraphicalModels::CInfer
CGraph &	getGraph (void) const
	Returns the reference to the graph. More...

Detailed Description

Dense Inference for Dense CRF.

The implementation is based on Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials paper.

Author: Sergey G. Kosov, serge.nosp@m.y.ko.nosp@m.sov@p.nosp@m.roje.nosp@m.ct-10.nosp@m..de

Definition at line 18 of file InferDense.h.

Constructor & Destructor Documentation

◆ CInferDense()

DirectGraphicalModels::CInferDense::CInferDense ( CGraphDense & graph )

inline

Constructor.

Parameters

graph The graph

Definition at line 25 of file InferDense.h.

◆ ~CInferDense()

virtual DirectGraphicalModels::CInferDense::~CInferDense ( void )

virtualdefault

Member Function Documentation

◆ getGraphDense()

CGraphDense& DirectGraphicalModels::CInferDense::getGraphDense ( void ) const

inlineprotected

Returns the dense graph.

Returns: The dense graph

Definition at line 36 of file InferDense.h.

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◆ infer()

void DirectGraphicalModels::CInferDense::infer ( unsigned int nIt = 1 )

virtual

Inference.

This function estimates the marginal potentials for each graph node, and stores them as node potentials

This function modifies Node::Pot containers of graph nodes

Parameters

nIt	Number of iterations

Note: This function must not to be linear, i.e. \( infer(\alpha\times N)\not\equiv\alpha\times infer(N) \); This function substitutes the graph nodes' potentials with estimated marginal potentials

Implements DirectGraphicalModels::CInfer.

Definition at line 38 of file InferDense.cpp.