OpenCV 5.0.0-pre
Open Source Computer Vision
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#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 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. | |
cv::face::FacemarkKazemi::Params::Params | ( | ) |
Constructor.
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 referred 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.