[−][src]Trait opencv::core::prelude::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: Algorithm
Required methods
pub fn as_raw_Algorithm(&self) -> *const c_void[src]
pub fn as_raw_mut_Algorithm(&mut self) -> *mut c_void[src]
Provided methods
pub fn clear(&mut self) -> Result<()>[src]
Clears the algorithm state
pub fn write(&self, fs: &mut FileStorage) -> Result<()>[src]
Stores algorithm parameters in a file storage
pub fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>[src]
simplified API for language bindings Stores algorithm parameters in a file storage
Overloaded parameters
C++ default parameters
- name: String()
pub fn read(&mut self, fn_: &FileNode) -> Result<()>[src]
Reads algorithm parameters from a file storage
pub fn empty(&self) -> Result<bool>[src]
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
pub fn save(&self, filename: &str) -> Result<()>[src]
Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
pub fn get_default_name(&self) -> Result<String>[src]
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.