cv::face::FacemarkKazemi Class Reference

#include <opencv2/face/face_alignment.hpp>

Inheritance diagram for cv::face::FacemarkKazemi:

Classes
struct	Params

Public Member Functions
virtual	~FacemarkKazemi ()
virtual bool	getFaces (InputArray image, OutputArray faces)=0
	get faces using the custom detector More...
virtual bool	setFaceDetector (bool(*f)(InputArray, OutputArray, void *), void *userData)=0
	set the custom face detector More...
virtual bool	training (std::vector< Mat > &images, std::vector< std::vector< Point2f > > &landmarks, std::string configfile, Size scale, std::string modelFilename="face_landmarks.dat")=0
	This function is used to train the model using gradient boosting to get a cascade of regressors which can then be used to predict shape. More...
Public Member Functions inherited from cv::face::Facemark
virtual bool	fit (InputArray image, InputArray faces, OutputArrayOfArrays landmarks)=0
	Detect facial landmarks from an image. More...
virtual void	loadModel (String model)=0
	A function to load the trained model before the fitting process. More...
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state. More...
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...
void	write (FileStorage &fs, const String &name) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

Static Public Member Functions
static Ptr< FacemarkKazemi >	create (const FacemarkKazemi::Params &parameters=FacemarkKazemi::Params())
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. More...
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Constructor & Destructor Documentation

~FacemarkKazemi()

virtual cv::face::FacemarkKazemi::~FacemarkKazemi ( )

virtual

Member Function Documentation

create()

static Ptr<FacemarkKazemi> cv::face::FacemarkKazemi::create ( const FacemarkKazemi::Params &  parameters = FacemarkKazemi::Params() )

static

getFaces()

virtual bool cv::face::FacemarkKazemi::getFaces ( InputArray  image, OutputArray  faces  )

pure virtual

get faces using the custom detector

setFaceDetector()

virtual bool cv::face::FacemarkKazemi::setFaceDetector ( bool(*)(InputArray, OutputArray, void *)  f, void *  userData  )

pure virtual

set the custom face detector

training()

virtual bool cv::face::FacemarkKazemi::training ( std::vector< Mat > &  images, std::vector< std::vector< Point2f > > &  landmarks, std::string  configfile, Size  scale, std::string  modelFilename = "face_landmarks.dat"  )

pure virtual

This function is used to train the model using gradient boosting to get a cascade of regressors which can then be used to predict shape.

Parameters

images	A vector of type cv::Mat which stores the images which are used in training samples.
landmarks	A vector of vectors of type cv::Point2f which stores the landmarks detected in a particular image.
scale	A size of type cv::Size to which all images and landmarks have to be scaled to.
configfile	A variable of type std::string which stores the name of the file storing parameters for training the model.
modelFilename	A variable of type std::string which stores the name of the trained model file that has to be saved.

Returns

A boolean value. The function returns true if the model is trained properly or false if it is not trained.

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

• opencv2/face/face_alignment.hpp