cv::face::BasicFaceRecognizer Class Reference

#include <opencv2/face/facerec.hpp>

Inheritance diagram for cv::face::BasicFaceRecognizer:

Collaboration diagram for cv::face::BasicFaceRecognizer:

Public Member Functions
virtual bool	empty () const CV_OVERRIDE
cv::Mat	getEigenValues () const
cv::Mat	getEigenVectors () const
cv::Mat	getLabels () const
cv::Mat	getMean () const
int	getNumComponents () const
std::vector< cv::Mat >	getProjections () const
double	getThreshold () const CV_OVERRIDE
virtual void	read (const FileNode &fn) CV_OVERRIDE
virtual void	read (const FileNode &fn) CV_OVERRIDE=0
virtual void	read (const String &filename)
	Loads a FaceRecognizer and its model state.
void	setNumComponents (int val)
void	setThreshold (double val) CV_OVERRIDE
virtual void	write (const String &filename) const
	Saves a FaceRecognizer and its model state.
virtual void	write (FileStorage &fs) const CV_OVERRIDE
virtual void	write (FileStorage &fs) const CV_OVERRIDE=0
Public Member Functions inherited from cv::face::FaceRecognizer
virtual String	getLabelInfo (int label) const
	Gets string information by label.
virtual std::vector< int >	getLabelsByString (const String &str) const
	Gets vector of labels by string.
int	predict (InputArray src) const
void	predict (InputArray src, int &label, double &confidence) const
	Predicts a label and associated confidence (e.g. distance) for a given input image.
virtual void	predict (InputArray src, Ptr< PredictCollector > collector) const =0
	if implemented - send all result of prediction to collector that can be used for somehow custom result handling
virtual void	setLabelInfo (int label, const String &strInfo)
	Sets string info for the specified model's label.
virtual void	train (InputArrayOfArrays src, InputArray labels)=0
	Trains a FaceRecognizer with given data and associated labels.
virtual void	update (InputArrayOfArrays src, InputArray labels)
	Updates a FaceRecognizer with given data and associated labels.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual String	getDefaultName () const
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
void	write (FileStorage &fs, const String &name) const

Protected Attributes
Mat	_eigenvalues
Mat	_eigenvectors
Mat	_labels
Mat	_mean
int	_num_components
std::vector< Mat >	_projections
double	_threshold
Protected Attributes inherited from cv::face::FaceRecognizer
std::map< int, String >	_labelsInfo

Additional Inherited Members
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Member Function Documentation

empty()

virtual bool cv::face::BasicFaceRecognizer::empty ( ) const

virtual

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Implements cv::face::FaceRecognizer.

getEigenValues()

cv::Mat cv::face::BasicFaceRecognizer::getEigenValues

(

)

const

Python:
	cv.face.BasicFaceRecognizer.getEigenValues(		) ->	retval

getEigenVectors()

cv::Mat cv::face::BasicFaceRecognizer::getEigenVectors

(

)

const

Python:
	cv.face.BasicFaceRecognizer.getEigenVectors(		) ->	retval

getLabels()

cv::Mat cv::face::BasicFaceRecognizer::getLabels

(

)

const

Python:
	cv.face.BasicFaceRecognizer.getLabels(		) ->	retval

getMean()

cv::Mat cv::face::BasicFaceRecognizer::getMean

(

)

const

Python:
	cv.face.BasicFaceRecognizer.getMean(		) ->	retval

getNumComponents()

int cv::face::BasicFaceRecognizer::getNumComponents

(

)

const

Python:
	cv.face.BasicFaceRecognizer.getNumComponents(		) ->	retval

See also

setNumComponents

getProjections()

std::vector< cv::Mat > cv::face::BasicFaceRecognizer::getProjections

(

)

const

Python:
	cv.face.BasicFaceRecognizer.getProjections(		) ->	retval

getThreshold()

double cv::face::BasicFaceRecognizer::getThreshold ( ) const

virtual

Python:
	cv.face.BasicFaceRecognizer.getThreshold(		) ->	retval

See also

setThreshold

Implements cv::face::FaceRecognizer.

read() [1/3]

virtual void cv::face::BasicFaceRecognizer::read ( const FileNode &  fn )

virtual

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Implements cv::face::FaceRecognizer.

read() [2/3]

virtual void cv::face::FaceRecognizer::read ( const FileNode &  fn )

virtual

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Implements cv::face::FaceRecognizer.

read() [3/3]

virtual void cv::face::FaceRecognizer::read ( const String &  filename )

virtual

Loads a FaceRecognizer and its model state.

Loads a persisted model and state from a given XML or YAML file . Every FaceRecognizer has to overwrite FaceRecognizer::load(FileStorage& fs) to enable loading the model state. FaceRecognizer::load(FileStorage& fs) in turn gets called by FaceRecognizer::load(const String& filename), to ease saving a model.

Reimplemented from cv::face::FaceRecognizer.

setNumComponents()

void cv::face::BasicFaceRecognizer::setNumComponents

(

int

val

)

Python:
	cv.face.BasicFaceRecognizer.setNumComponents(	val	) ->	None

See also

getNumComponents

setThreshold()

void cv::face::BasicFaceRecognizer::setThreshold ( double  val )

virtual

Python:
	cv.face.BasicFaceRecognizer.setThreshold(	val	) ->	None

See also

getThreshold

Implements cv::face::FaceRecognizer.

write() [1/3]

virtual void cv::face::FaceRecognizer::write ( const String &  filename ) const

virtual

Saves a FaceRecognizer and its model state.

Saves this model to a given filename, either as XML or YAML.

Parameters

filename

The filename to store this FaceRecognizer to (either XML/YAML).

Every FaceRecognizer overwrites FaceRecognizer::save(FileStorage& fs) to save the internal model state. FaceRecognizer::save(const String& filename) saves the state of a model to the given filename.

The suffix const means that prediction does not affect the internal model state, so the method can be safely called from within different threads.

Reimplemented from cv::face::FaceRecognizer.

write() [2/3]

virtual void cv::face::BasicFaceRecognizer::write ( FileStorage &  fs ) const

virtual

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. Saves this model to a given FileStorage.

Parameters

fs	The FileStorage to store this FaceRecognizer to.

Implements cv::face::FaceRecognizer.

write() [3/3]

virtual void cv::face::FaceRecognizer::write ( FileStorage &  fs ) const

virtual

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. Saves this model to a given FileStorage.

Parameters

fs	The FileStorage to store this FaceRecognizer to.

Implements cv::face::FaceRecognizer.

Member Data Documentation

_eigenvalues

Mat cv::face::BasicFaceRecognizer::_eigenvalues

protected

_eigenvectors

Mat cv::face::BasicFaceRecognizer::_eigenvectors

protected

_labels

Mat cv::face::BasicFaceRecognizer::_labels

protected

_mean

Mat cv::face::BasicFaceRecognizer::_mean

protected

_num_components

int cv::face::BasicFaceRecognizer::_num_components

protected

_projections

std::vector<Mat> cv::face::BasicFaceRecognizer::_projections

protected

_threshold

double cv::face::BasicFaceRecognizer::_threshold

protected

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

• opencv2/face/facerec.hpp