Trait opencv::prelude::FacemarkKazemi

pub trait FacemarkKazemi: Facemark + FacemarkKazemiConst {
    // Required method
    fn as_raw_mut_FacemarkKazemi(&mut self) -> *mut c_void;

    // Provided methods
    fn training(
        &mut self,
        images: &mut Vector<Mat>,
        landmarks: &mut Vector<Vector<Point2f>>,
        configfile: &str,
        scale: Size,
        model_filename: &str
    ) -> Result<bool> { ... }
    fn set_face_detector(
        &mut self,
        f: Option<Box<dyn FnMut(*const c_void, *const c_void) -> bool + Send + Sync + 'static>>
    ) -> Result<bool> { ... }
    fn get_faces(
        &mut self,
        image: &dyn ToInputArray,
        faces: &mut dyn ToOutputArray
    ) -> Result<bool> { ... }
}

Required Methods

fn as_raw_mut_FacemarkKazemi(&mut self) -> *mut c_void

Provided Methods

fn training( &mut self, images: &mut Vector<Mat>, landmarks: &mut Vector<Vector<Point2f>>, configfile: &str, scale: Size, model_filename: &str ) -> Result<bool>

This function is used to train the model using gradient boosting to get a cascade of regressors which can then be used to predict shape.

Parameters

• images: A vector of type cv::Mat which stores the images which are used in training samples.
• landmarks: A vector of vectors of type cv::Point2f which stores the landmarks detected in a particular image.
• scale: A size of type cv::Size to which all images and landmarks have to be scaled to.
• configfile: A variable of type std::string which stores the name of the file storing parameters for training the model.
• modelFilename: A variable of type std::string which stores the name of the trained model file that has to be saved.

Returns

A boolean value. The function returns true if the model is trained properly or false if it is not trained.

C++ default parameters

• model_filename: “face_landmarks.dat”

fn set_face_detector( &mut self, f: Option<Box<dyn FnMut(*const c_void, *const c_void) -> bool + Send + Sync + 'static>> ) -> Result<bool>

set the custom face detector

fn get_faces( &mut self, image: &dyn ToInputArray, faces: &mut dyn ToOutputArray ) -> Result<bool>

get faces using the custom detector

Implementations

impl dyn FacemarkKazemi + '_

pub fn create( parameters: &FacemarkKazemi_Params ) -> Result<Ptr<dyn FacemarkKazemi>>

C++ default parameters

• parameters: FacemarkKazemi::Params()

Implementors

impl FacemarkKazemi for Ptr<dyn FacemarkKazemi>