#include <opencv2/face/facemarkLBF.hpp>
|  | 
| double | bagging_overlap | 
|  | overlap ratio for training the LBF feature 
 | 
|  | 
| String | cascade_face | 
|  | filename of the face detector model 
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|  | 
| Rect | detectROI | 
|  | 
| std::vector< int > | feats_m | 
|  | 
| int | initShape_n | 
|  | multiplier for augment the training data 
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|  | 
| std::string | model_filename | 
|  | filename where the trained model will be saved 
 | 
|  | 
| int | n_landmarks | 
|  | number of landmark points 
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|  | 
| std::vector< int > | pupils [2] | 
|  | index of facemark points on pupils of left and right eye 
 | 
|  | 
| std::vector< double > | radius_m | 
|  | 
| bool | save_model | 
|  | flag to save the trained model or not 
 | 
|  | 
| unsigned int | seed | 
|  | seed for shuffling the training data 
 | 
|  | 
| double | shape_offset | 
|  | offset for the loaded face landmark points 
 | 
|  | 
| int | stages_n | 
|  | number of refinement stages 
 | 
|  | 
| int | tree_depth | 
|  | the depth of decision tree, defines the size of feature 
 | 
|  | 
| int | tree_n | 
|  | number of tree in the model for each landmark point refinement 
 | 
|  | 
| bool | verbose | 
|  | show the training print-out 
 | 
|  | 
      
        
          | cv::face::FacemarkLBF::Params::Params | ( |  | ) |  | 
      
 
 
      
        
          | void cv::face::FacemarkLBF::Params::read | ( | const FileNode & |  | ) |  | 
      
 
 
      
        
          | void cv::face::FacemarkLBF::Params::write | ( | FileStorage & |  | ) | const | 
      
 
 
      
        
          | double cv::face::FacemarkLBF::Params::bagging_overlap | 
      
 
overlap ratio for training the LBF feature 
 
 
      
        
          | String cv::face::FacemarkLBF::Params::cascade_face | 
      
 
filename of the face detector model 
 
 
      
        
          | Rect cv::face::FacemarkLBF::Params::detectROI | 
      
 
 
      
        
          | std::vector<int> cv::face::FacemarkLBF::Params::feats_m | 
      
 
 
      
        
          | int cv::face::FacemarkLBF::Params::initShape_n | 
      
 
multiplier for augment the training data 
 
 
      
        
          | std::string cv::face::FacemarkLBF::Params::model_filename | 
      
 
filename where the trained model will be saved 
 
 
      
        
          | int cv::face::FacemarkLBF::Params::n_landmarks | 
      
 
number of landmark points 
 
 
      
        
          | std::vector<int> cv::face::FacemarkLBF::Params::pupils[2] | 
      
 
index of facemark points on pupils of left and right eye 
 
 
      
        
          | std::vector<double> cv::face::FacemarkLBF::Params::radius_m | 
      
 
 
      
        
          | bool cv::face::FacemarkLBF::Params::save_model | 
      
 
flag to save the trained model or not 
 
 
      
        
          | unsigned int cv::face::FacemarkLBF::Params::seed | 
      
 
seed for shuffling the training data 
 
 
      
        
          | double cv::face::FacemarkLBF::Params::shape_offset | 
      
 
offset for the loaded face landmark points 
 
 
      
        
          | int cv::face::FacemarkLBF::Params::stages_n | 
      
 
number of refinement stages 
 
 
      
        
          | int cv::face::FacemarkLBF::Params::tree_depth | 
      
 
the depth of decision tree, defines the size of feature 
 
 
      
        
          | int cv::face::FacemarkLBF::Params::tree_n | 
      
 
number of tree in the model for each landmark point refinement 
 
 
      
        
          | bool cv::face::FacemarkLBF::Params::verbose | 
      
 
show the training print-out 
 
 
The documentation for this struct was generated from the following file: