[−][src]Trait opencv::face::LBPHFaceRecognizer

pub trait LBPHFaceRecognizer: FaceRecognizer {
    pub fn as_raw_LBPHFaceRecognizer(&self) -> *const c_void;

    pub fn as_raw_mut_LBPHFaceRecognizer(&mut self) -> *mut c_void;

    pub fn get_grid_x(&self) -> Result<i32> { ... }

    pub fn set_grid_x(&mut self, val: i32) -> Result<()> { ... }

    pub fn get_grid_y(&self) -> Result<i32> { ... }

    pub fn set_grid_y(&mut self, val: i32) -> Result<()> { ... }

    pub fn get_radius(&self) -> Result<i32> { ... }

    pub fn set_radius(&mut self, val: i32) -> Result<()> { ... }

    pub fn get_neighbors(&self) -> Result<i32> { ... }

    pub fn set_neighbors(&mut self, val: i32) -> Result<()> { ... }

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

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

    pub fn get_histograms(&self) -> Result<Vector<Mat>> { ... }

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

Required methods

pub fn as_raw_LBPHFaceRecognizer(&self) -> *const c_void[src]

pub fn as_raw_mut_LBPHFaceRecognizer(&mut self) -> *mut c_void[src]

Loading content...

Provided methods

pub fn get_grid_x(&self) -> Result<i32>[src]

See also

setGridX

pub fn set_grid_x(&mut self, val: i32) -> Result<()>[src]

See also

setGridX getGridX

pub fn get_grid_y(&self) -> Result<i32>[src]

See also

setGridY

pub fn set_grid_y(&mut self, val: i32) -> Result<()>[src]

See also

setGridY getGridY

pub fn get_radius(&self) -> Result<i32>[src]

See also

setRadius

pub fn set_radius(&mut self, val: i32) -> Result<()>[src]

See also

setRadius getRadius

pub fn get_neighbors(&self) -> Result<i32>[src]

See also

setNeighbors

pub fn set_neighbors(&mut self, val: i32) -> Result<()>[src]

See also

setNeighbors getNeighbors

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

See also

setThreshold

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

See also

setThreshold getThreshold

pub fn get_histograms(&self) -> Result<Vector<Mat>>[src]

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

Loading content...

Implementations

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

pub fn create(
    radius: i32,
    neighbors: i32,
    grid_x: i32,
    grid_y: i32,
    threshold: f64
) -> Result<Ptr<dyn LBPHFaceRecognizer>>[src]

Parameters

  • radius: The radius used for building the Circular Local Binary Pattern. The greater the radius, the smoother the image but more spatial information you can get.
  • neighbors: The number of sample points to build a Circular Local Binary Pattern from. An appropriate value is to use 8 sample points. Keep in mind: the more sample points you include, the higher the computational cost.
  • grid_x: The number of cells in the horizontal direction, 8 is a common value used in publications. The more cells, the finer the grid, the higher the dimensionality of the resulting feature vector.
  • grid_y: The number of cells in the vertical direction, 8 is a common value used in publications. The more cells, the finer the grid, the higher the dimensionality of the resulting feature vector.
  • threshold: The threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, this method returns -1.

Notes:

  • The Circular Local Binary Patterns (used in training and prediction) expect the data given as grayscale images, use cvtColor to convert between the color spaces.
  • This model supports updating.

Model internal data:

  • radius see LBPHFaceRecognizer::create.
  • neighbors see LBPHFaceRecognizer::create.
  • grid_x see LLBPHFaceRecognizer::create.
  • grid_y see LBPHFaceRecognizer::create.
  • threshold see LBPHFaceRecognizer::create.
  • histograms Local Binary Patterns Histograms calculated from the given training data (empty if none was given).
  • labels Labels corresponding to the calculated Local Binary Patterns Histograms.

C++ default parameters

  • radius: 1
  • neighbors: 8
  • grid_x: 8
  • grid_y: 8
  • threshold: DBL_MAX

Implementors

Loading content...