[][src]Struct opencv::optflow::PCAPrior

pub struct PCAPrior { /* fields omitted */ }

@brief This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with "learn_prior.py" script beforehand.

Implementations

impl PCAPrior[src]

impl PCAPrior[src]

pub fn new(path_to_prior: &str) -> Result<PCAPrior>[src]

Trait Implementations

impl Boxed for PCAPrior[src]

impl Drop for PCAPrior[src]

impl PCAPriorTrait for PCAPrior[src]

impl Send for PCAPrior[src]

Auto Trait Implementations

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impl<T> Any for T where
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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
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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.