Type Definition opencv::types::PtrOfFacemarkKazemi

type PtrOfFacemarkKazemi = Ptr<dyn FacemarkKazemi>;

Implementations

impl PtrOfFacemarkKazemi

pub fn as_raw_PtrOfFacemarkKazemi(&self) -> *const c_void

pub fn as_raw_mut_PtrOfFacemarkKazemi(&mut self) -> *mut c_void

Trait Implementations

impl AlgorithmTrait for PtrOfFacemarkKazemi

pub fn as_raw_Algorithm(&self) -> *const c_void

pub fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

pub fn clear(&mut self) -> Result<()>

Clears the algorithm state

pub fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

pub fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

pub fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

pub fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

pub fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

pub fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl Facemark for PtrOfFacemarkKazemi

pub fn as_raw_Facemark(&self) -> *const c_void

pub fn as_raw_mut_Facemark(&mut self) -> *mut c_void

pub fn load_model(&mut self, model: &str) -> Result<()>

A function to load the trained model before the fitting process.

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

Detect facial landmarks from an image.

impl FacemarkKazemi for PtrOfFacemarkKazemi

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>

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.

pub 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

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

get faces using the custom detector