OpenCV  4.6.0-dev
Open Source Computer Vision
Public Member Functions | Public Attributes | List of all members
cv::face::FacemarkKazemi::Params Struct Reference

#include <opencv2/face/face_alignment.hpp>

Public Member Functions

 Params ()
 Constructor. More...
 

Public Attributes

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

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: