Type Definition opencv::types::PtrOfFacemarkLBF

type PtrOfFacemarkLBF = Ptr<dyn FacemarkLBF>;

Implementations

impl PtrOfFacemarkLBF

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfFacemarkLBF

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 PtrOfFacemarkLBF

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 FacemarkLBF for PtrOfFacemarkLBF

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

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

impl FacemarkTrain for PtrOfFacemarkLBF

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

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

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

Add one training sample to the trainer.

pub fn training(&mut self, parameters: *mut c_void) -> Result<()>

Trains a Facemark algorithm using the given dataset. Before the training process, training samples should be added to the trainer using face::addTrainingSample function.

pub fn set_face_detector(&mut self, detector: FN_FaceDetector) -> Result<bool>

Set a user defined face detector for the Facemark algorithm.

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

Detect faces from a given image using default or user defined face detector. Some Algorithm might not provide a default face detector.

pub fn get_data(&mut self, items: *mut c_void) -> Result<bool>

Get data from an algorithm