[−][src]Struct opencv::core::Algorithm
This is a base class for all more or less complex algorithms in OpenCV
especially for classes of algorithms, for which there can be multiple implementations. The examples are stereo correspondence (for which there are algorithms like block matching, semi-global block matching, graph-cut etc.), background subtraction (which can be done using mixture-of-gaussians models, codebook-based algorithm etc.), optical flow (block matching, Lucas-Kanade, Horn-Schunck etc.).
Here is example of SimpleBlobDetector use in your application via Algorithm interface: @snippet snippets/core_various.cpp Algorithm
Methods
impl Algorithm
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pub fn as_raw_Algorithm(&self) -> *mut c_void
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pub unsafe fn from_raw_ptr(ptr: *mut c_void) -> Self
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impl Algorithm
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Trait Implementations
impl AlgorithmTrait for Algorithm
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fn as_raw_Algorithm(&self) -> *mut c_void
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fn clear(&mut self) -> Result<()>
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fn write(&self, fs: &mut FileStorage) -> Result<()>
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fn write_1(&self, fs: &PtrOfFileStorage, name: &str) -> Result<()>
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fn read(&mut self, _fn: &FileNode) -> Result<()>
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fn empty(&self) -> Result<bool>
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fn save(&self, filename: &str) -> Result<()>
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fn get_default_name(&self) -> Result<String>
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impl Drop for Algorithm
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impl Send for Algorithm
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Auto Trait Implementations
impl RefUnwindSafe for Algorithm
impl !Sync for Algorithm
impl Unpin for Algorithm
impl UnwindSafe for Algorithm
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,