Type Definition opencv::types::PtrOfSelectiveSearchSegmentation

type PtrOfSelectiveSearchSegmentation = Ptr<dyn SelectiveSearchSegmentation>;

Implementations

impl PtrOfSelectiveSearchSegmentation

pub fn as_raw_PtrOfSelectiveSearchSegmentation(&self) -> *const c_void

pub fn as_raw_mut_PtrOfSelectiveSearchSegmentation(&mut self) -> *mut c_void

Trait Implementations

impl AlgorithmTrait for PtrOfSelectiveSearchSegmentation

pub fn as_raw_Algorithm(&self) -> *const c_void

pub fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

pub fn clear(&mut self) -> Result<()>

Clears the algorithm state

pub fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

pub fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

pub fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

pub fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

pub 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).

pub 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.

impl SelectiveSearchSegmentation for PtrOfSelectiveSearchSegmentation

pub fn as_raw_SelectiveSearchSegmentation(&self) -> *const c_void

pub fn as_raw_mut_SelectiveSearchSegmentation(&mut self) -> *mut c_void

pub fn set_base_image(&mut self, img: &dyn ToInputArray) -> Result<()>

Set a image used by switch* functions to initialize the class

pub fn switch_to_single_strategy(&mut self, k: i32, sigma: f32) -> Result<()>

Initialize the class with the 'Single stragegy' parameters describled in uijlings2013selective.

pub fn switch_to_selective_search_fast(
    &mut self,
    base_k: i32,
    inc_k: i32,
    sigma: f32
) -> Result<()>

Initialize the class with the 'Selective search fast' parameters describled in uijlings2013selective.

pub fn switch_to_selective_search_quality(
    &mut self,
    base_k: i32,
    inc_k: i32,
    sigma: f32
) -> Result<()>

Initialize the class with the 'Selective search fast' parameters describled in uijlings2013selective.

pub fn add_image(&mut self, img: &dyn ToInputArray) -> Result<()>

Add a new image in the list of images to process.

pub fn clear_images(&mut self) -> Result<()>

Clear the list of images to process

pub fn add_graph_segmentation(
    &mut self,
    g: Ptr<dyn GraphSegmentation>
) -> Result<()>

Add a new graph segmentation in the list of graph segementations to process.

pub fn clear_graph_segmentations(&mut self) -> Result<()>

Clear the list of graph segmentations to process;

pub fn add_strategy(
    &mut self,
    s: Ptr<dyn SelectiveSearchSegmentationStrategy>
) -> Result<()>

Add a new strategy in the list of strategy to process.

pub fn clear_strategies(&mut self) -> Result<()>

Clear the list of strategy to process;

pub fn process(&mut self, rects: &mut Vector<Rect>) -> Result<()>

Based on all images, graph segmentations and stragies, computes all possible rects and return them