Type Definition opencv::types::PtrOfHausdorffDistanceExtractor

type PtrOfHausdorffDistanceExtractor = Ptr<dyn HausdorffDistanceExtractor>;

Implementations

impl PtrOfHausdorffDistanceExtractor

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfHausdorffDistanceExtractor

fn as_raw_Algorithm(&self) -> *const c_void

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

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

Clears the algorithm state

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

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

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

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

Reads algorithm parameters from a file storage

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

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

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).

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 HausdorffDistanceExtractor for PtrOfHausdorffDistanceExtractor

fn as_raw_HausdorffDistanceExtractor(&self) -> *const c_void

fn as_raw_mut_HausdorffDistanceExtractor(&mut self) -> *mut c_void

fn set_distance_flag(&mut self, distance_flag: i32) -> Result<()>

Set the norm used to compute the Hausdorff value between two shapes. It can be L1 or L2 norm.

fn get_distance_flag(&self) -> Result<i32>

fn set_rank_proportion(&mut self, rank_proportion: f32) -> Result<()>

This method sets the rank proportion (or fractional value) that establish the Kth ranked value of the partial Hausdorff distance. Experimentally had been shown that 0.6 is a good value to compare shapes.

fn get_rank_proportion(&self) -> Result<f32>

impl ShapeDistanceExtractor for PtrOfHausdorffDistanceExtractor

fn as_raw_ShapeDistanceExtractor(&self) -> *const c_void

fn as_raw_mut_ShapeDistanceExtractor(&mut self) -> *mut c_void

fn compute_distance(
    &mut self,
    contour1: &dyn ToInputArray,
    contour2: &dyn ToInputArray
) -> Result<f32>

Compute the shape distance between two shapes defined by its contours.