[−][src]Trait opencv::core::AlgorithmTrait
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
Required methods
fn as_raw_Algorithm(&self) -> *mut c_void
Provided methods
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: &PtrOfFileStorage, name: &str) -> Result<()>
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.