OpenCV  3.4.20
Open Source Computer Vision
Public Member Functions | Public Attributes | List of all members
cv::face::FacemarkLBF::Params Struct Reference

#include <opencv2/face/facemarkLBF.hpp>

Public Member Functions

 Params ()
 Constructor. More...
 
void read (const FileNode &)
 
void write (FileStorage &) const
 

Public Attributes

double bagging_overlap
 overlap ratio for training the LBF feature More...
 
String cascade_face
 filename of the face detector model More...
 
Rect detectROI
 
std::vector< int > feats_m
 
int initShape_n
 multiplier for augment the training data More...
 
std::string model_filename
 filename where the trained model will be saved More...
 
int n_landmarks
 number of landmark points More...
 
std::vector< int > pupils [2]
 index of facemark points on pupils of left and right eye More...
 
std::vector< double > radius_m
 
bool save_model
 flag to save the trained model or not More...
 
unsigned int seed
 seed for shuffling the training data More...
 
double shape_offset
 offset for the loaded face landmark points More...
 
int stages_n
 number of refinement stages More...
 
int tree_depth
 the depth of decision tree, defines the size of feature More...
 
int tree_n
 number of tree in the model for each landmark point refinement More...
 
bool verbose
 show the training print-out More...
 

Constructor & Destructor Documentation

◆ Params()

cv::face::FacemarkLBF::Params::Params ( )

Constructor.

Member Function Documentation

◆ read()

void cv::face::FacemarkLBF::Params::read ( const FileNode )

◆ write()

void cv::face::FacemarkLBF::Params::write ( FileStorage ) const

Member Data Documentation

◆ bagging_overlap

double cv::face::FacemarkLBF::Params::bagging_overlap

overlap ratio for training the LBF feature

◆ cascade_face

String cv::face::FacemarkLBF::Params::cascade_face

filename of the face detector model

◆ detectROI

Rect cv::face::FacemarkLBF::Params::detectROI

◆ feats_m

std::vector<int> cv::face::FacemarkLBF::Params::feats_m

◆ initShape_n

int cv::face::FacemarkLBF::Params::initShape_n

multiplier for augment the training data

◆ model_filename

std::string cv::face::FacemarkLBF::Params::model_filename

filename where the trained model will be saved

◆ n_landmarks

int cv::face::FacemarkLBF::Params::n_landmarks

number of landmark points

◆ pupils

std::vector<int> cv::face::FacemarkLBF::Params::pupils[2]

index of facemark points on pupils of left and right eye

◆ radius_m

std::vector<double> cv::face::FacemarkLBF::Params::radius_m

◆ save_model

bool cv::face::FacemarkLBF::Params::save_model

flag to save the trained model or not

◆ seed

unsigned int cv::face::FacemarkLBF::Params::seed

seed for shuffling the training data

◆ shape_offset

double cv::face::FacemarkLBF::Params::shape_offset

offset for the loaded face landmark points

◆ stages_n

int cv::face::FacemarkLBF::Params::stages_n

number of refinement stages

◆ tree_depth

int cv::face::FacemarkLBF::Params::tree_depth

the depth of decision tree, defines the size of feature

◆ tree_n

int cv::face::FacemarkLBF::Params::tree_n

number of tree in the model for each landmark point refinement

◆ verbose

bool cv::face::FacemarkLBF::Params::verbose

show the training print-out


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