cv::face::FacemarkKazemi::Params Struct Reference

#include <opencv2/face/face_alignment.hpp>

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 reffered 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

cv::face::FacemarkKazemi::Params::Params

(

)

Constructor.

Member Data Documentation

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

cascade_depth This stores the deapth of cascade used for training.

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

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

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

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

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

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

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

num_test_coordinates stores number of test coordinates.

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

num_test_splits stores number of random test splits generated.

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.

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

oversampling_amount stores number of initialisations used to create training samples.

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

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

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

• face_alignment.hpp