[][src]Struct opencv::saliency::StaticSaliencyFineGrained

pub struct StaticSaliencyFineGrained { /* fields omitted */ }

the Fine Grained Saliency approach from FGS

This method calculates saliency based on center-surround differences. High resolution saliency maps are generated in real time by using integral images.

Implementations

impl StaticSaliencyFineGrained[src]

impl StaticSaliencyFineGrained[src]

Trait Implementations

impl AlgorithmTrait for StaticSaliencyFineGrained[src]

impl Boxed for StaticSaliencyFineGrained[src]

impl Drop for StaticSaliencyFineGrained[src]

impl Saliency for StaticSaliencyFineGrained[src]

impl Send for StaticSaliencyFineGrained[src]

impl StaticSaliency for StaticSaliencyFineGrained[src]

impl StaticSaliencyFineGrainedTrait for StaticSaliencyFineGrained[src]

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.