[][src]Trait opencv::face::FacemarkKazemi

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

Required methods

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Provided methods

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

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"

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

set the custom face detector

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

get faces using the custom detector

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Implementations

impl<'_> dyn FacemarkKazemi + '_[src]

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

C++ default parameters

  • parameters: FacemarkKazemi::Params()

Implementors

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