[][src]Struct opencv::types::BinaryDescriptorMatcherRef

pub struct BinaryDescriptorMatcherRef<'o> { /* fields omitted */ }

Methods from Deref<Target = BinaryDescriptorMatcher>

pub fn _match(
    &self,
    query_descriptors: &Mat,
    train_descriptors: &Mat,
    matches: &mut VectorOfDMatch,
    mask: &Mat
) -> Result<()>
[src]

For every input query descriptor, retrieve the best matching one from a dataset provided from user or from the one internal to class

Parameters

  • queryDescriptors: query descriptors
  • trainDescriptors: dataset of descriptors furnished by user
  • matches: vector to host retrieved matches
  • mask: mask to select which input descriptors must be matched to one in dataset

C++ default parameters

  • mask: Mat()

pub fn knn_match(
    &self,
    query_descriptors: &Mat,
    train_descriptors: &Mat,
    matches: &mut VectorOfVectorOfDMatch,
    k: i32,
    mask: &Mat,
    compact_result: bool
) -> Result<()>
[src]

For every input query descriptor, retrieve the best k matching ones from a dataset provided from user or from the one internal to class

Parameters

  • queryDescriptors: query descriptors
  • trainDescriptors: dataset of descriptors furnished by user
  • matches: vector to host retrieved matches
  • k: number of the closest descriptors to be returned for every input query
  • mask: mask to select which input descriptors must be matched to ones in dataset
  • compactResult: flag to obtain a compact result (if true, a vector that doesn't contain any matches for a given query is not inserted in final result)

C++ default parameters

  • mask: Mat()
  • compact_result: false

pub fn radius_match(
    &self,
    query_descriptors: &Mat,
    train_descriptors: &Mat,
    matches: &mut VectorOfVectorOfDMatch,
    max_distance: f32,
    mask: &Mat,
    compact_result: bool
) -> Result<()>
[src]

For every input query descriptor, retrieve, from a dataset provided from user or from the one internal to class, all the descriptors that are not further than maxDist from input query

Parameters

  • queryDescriptors: query descriptors
  • trainDescriptors: dataset of descriptors furnished by user
  • matches: vector to host retrieved matches
  • maxDistance: search radius
  • mask: mask to select which input descriptors must be matched to ones in dataset
  • compactResult: flag to obtain a compact result (if true, a vector that doesn't contain any matches for a given query is not inserted in final result)

C++ default parameters

  • mask: Mat()
  • compact_result: false

Trait Implementations

impl<'_> Deref for BinaryDescriptorMatcherRef<'_>[src]

type Target = BinaryDescriptorMatcher

The resulting type after dereferencing.

Auto Trait Implementations

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
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impl<T> Borrow<T> for T where
    T: ?Sized
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impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.