#include <opencv2/face/facemarkLBF.hpp>
◆ Params()
      
        
          | cv::face::FacemarkLBF::Params::Params | ( |  | ) |  | 
      
 
 
◆ read()
      
        
          | void cv::face::FacemarkLBF::Params::read | ( | const FileNode & |  | ) |  | 
      
 
 
◆ write()
      
        
          | void cv::face::FacemarkLBF::Params::write | ( | FileStorage & |  | ) | const | 
      
 
 
◆ 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: