#include <opencv2/face/facemarkLBF.hpp>
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double | bagging_overlap |
| overlap ratio for training the LBF feature
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String | cascade_face |
| filename of the face detector model
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Rect | detectROI |
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std::vector< int > | feats_m |
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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
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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
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std::vector< double > | radius_m |
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bool | save_model |
| flag to save the trained model or not
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unsigned int | seed |
| seed for shuffling the training data
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double | shape_offset |
| offset for the loaded face landmark points
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int | stages_n |
| number of refinement stages
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int | tree_depth |
| the depth of decision tree, defines the size of feature
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int | tree_n |
| number of tree in the model for each landmark point refinement
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bool | verbose |
| show the training print-out
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◆ Params()
cv::face::FacemarkLBF::Params::Params |
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◆ read()
void cv::face::FacemarkLBF::Params::read |
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const FileNode & |
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◆ write()
void cv::face::FacemarkLBF::Params::write |
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FileStorage & |
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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: