OpenCV  5.0.0-pre
Open Source Computer Vision
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Public Member Functions | Public Attributes | List of all members
cv::face::FacemarkKazemi::Params Struct Reference

#include <opencv2/face/face_alignment.hpp>

Collaboration diagram for cv::face::FacemarkKazemi::Params:

Public Member Functions

 Params ()
 Constructor.
 

Public Attributes

unsigned long cascade_depth
 cascade_depth This stores the deapth of cascade used for training.
 
String configfile
 configfile stores the name of the file containing the values of training parameters
 
float lambda
 lambda stores a value to calculate probability of closeness of two coordinates.
 
float learning_rate
 learning_rate stores the learning rate in gradient boosting, also referred as shrinkage.
 
unsigned long num_test_coordinates
 num_test_coordinates stores number of test coordinates.
 
unsigned long num_test_splits
 num_test_splits stores number of random test splits generated.
 
unsigned long num_trees_per_cascade_level
 num_trees_per_cascade_level This stores number of trees fit per cascade level.
 
unsigned long oversampling_amount
 oversampling_amount stores number of initialisations used to create training samples.
 
unsigned long tree_depth
 tree_depth This stores the max height of the regression tree built.
 

Constructor & Destructor Documentation

◆ Params()

cv::face::FacemarkKazemi::Params::Params ( )

Constructor.

Member Data Documentation

◆ cascade_depth

unsigned long cv::face::FacemarkKazemi::Params::cascade_depth

cascade_depth This stores the deapth of cascade used for training.

◆ configfile

String cv::face::FacemarkKazemi::Params::configfile

configfile stores the name of the file containing the values of training parameters

◆ lambda

float cv::face::FacemarkKazemi::Params::lambda

lambda stores a value to calculate probability of closeness of two coordinates.

◆ learning_rate

float cv::face::FacemarkKazemi::Params::learning_rate

learning_rate stores the learning rate in gradient boosting, also referred as shrinkage.

◆ num_test_coordinates

unsigned long cv::face::FacemarkKazemi::Params::num_test_coordinates

num_test_coordinates stores number of test coordinates.

◆ num_test_splits

unsigned long cv::face::FacemarkKazemi::Params::num_test_splits

num_test_splits stores number of random test splits generated.

◆ num_trees_per_cascade_level

unsigned long cv::face::FacemarkKazemi::Params::num_trees_per_cascade_level

num_trees_per_cascade_level This stores number of trees fit per cascade level.

◆ oversampling_amount

unsigned long cv::face::FacemarkKazemi::Params::oversampling_amount

oversampling_amount stores number of initialisations used to create training samples.

◆ tree_depth

unsigned long cv::face::FacemarkKazemi::Params::tree_depth

tree_depth This stores the max height of the regression tree built.


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