Type Definition opencv::types::PtrOfEigenFaceRecognizer

type PtrOfEigenFaceRecognizer = Ptr<dyn EigenFaceRecognizer>;

Implementations

impl PtrOfEigenFaceRecognizer

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfEigenFaceRecognizer

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 BasicFaceRecognizer for PtrOfEigenFaceRecognizer

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

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

pub fn get_num_components(&self) -> Result<i32>

See also

pub fn set_num_components(&mut self, val: i32) -> Result<()>

See also

pub fn get_threshold(&self) -> Result<f64>

See also

pub fn set_threshold(&mut self, val: f64) -> Result<()>

See also

pub fn get_projections(&self) -> Result<Vector<Mat>>

pub fn get_labels(&self) -> Result<Mat>

pub fn get_eigen_values(&self) -> Result<Mat>

pub fn get_eigen_vectors(&self) -> Result<Mat>

pub fn get_mean(&self) -> Result<Mat>

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

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

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

impl EigenFaceRecognizer for PtrOfEigenFaceRecognizer

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

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

impl FaceRecognizer for PtrOfEigenFaceRecognizer

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

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

pub fn train(
    &mut self,
    src: &dyn ToInputArray,
    labels: &dyn ToInputArray
) -> Result<()>

Trains a FaceRecognizer with given data and associated labels.

pub fn update(
    &mut self,
    src: &dyn ToInputArray,
    labels: &dyn ToInputArray
) -> Result<()>

Updates a FaceRecognizer with given data and associated labels.

pub fn predict_label(&self, src: &dyn ToInputArray) -> Result<i32>

if implemented - send all result of prediction to collector that can be used for somehow custom result handling

pub fn predict(
    &self,
    src: &dyn ToInputArray,
    label: &mut i32,
    confidence: &mut f64
) -> Result<()>

Predicts a label and associated confidence (e.g. distance) for a given input image.

pub fn predict_collect(
    &self,
    src: &dyn ToInputArray,
    collector: Ptr<dyn PredictCollector>
) -> Result<()>

if implemented - send all result of prediction to collector that can be used for somehow custom result handling

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

Saves a FaceRecognizer and its model state.

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

Loads a FaceRecognizer and its model state.

pub fn write_1(&self, fs: &mut FileStorage) -> Result<()>

Saves a FaceRecognizer and its model state.

pub fn read_1(&mut self, fn_: &FileNode) -> Result<()>

Loads a FaceRecognizer and its model state.

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

pub fn set_label_info(&mut self, label: i32, str_info: &str) -> Result<()>

Sets string info for the specified model's label.

pub fn get_label_info(&self, label: i32) -> Result<String>

Gets string information by label.

pub fn get_labels_by_string(&self, str: &str) -> Result<Vector<i32>>

Gets vector of labels by string.

pub fn get_threshold(&self) -> Result<f64>

threshold parameter accessor - required for default BestMinDist collector

pub fn set_threshold(&mut self, val: f64) -> Result<()>

Sets threshold of model