Struct SelectiveSearchSegmentation

pub struct SelectiveSearchSegmentation { /* private fields */ }

Selective search segmentation algorithm The class implements the algorithm described in uijlings2013selective.

Trait Implementations

impl AlgorithmTrait for SelectiveSearchSegmentation

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

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

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for SelectiveSearchSegmentation

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

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

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

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.

impl Boxed for SelectiveSearchSegmentation

unsafe fn from_raw( ptr: <SelectiveSearchSegmentation as OpenCVFromExtern>::ExternReceive, ) -> Self

Wrap the specified raw pointer

fn into_raw( self, ) -> <SelectiveSearchSegmentation as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying raw pointer while consuming this wrapper.

fn as_raw( &self, ) -> <SelectiveSearchSegmentation as OpenCVTypeExternContainer>::ExternSend

Return the underlying raw pointer.

fn as_raw_mut( &mut self, ) -> <SelectiveSearchSegmentation as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying mutable raw pointer

impl Debug for SelectiveSearchSegmentation

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for SelectiveSearchSegmentation

fn drop(&mut self)

Executes the destructor for this type.

impl From<SelectiveSearchSegmentation> for Algorithm

fn from(s: SelectiveSearchSegmentation) -> Self

Converts to this type from the input type.

impl SelectiveSearchSegmentationTrait for SelectiveSearchSegmentation

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

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

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

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

Initialize the class with the ‘Single stragegy’ parameters describled in uijlings2013selective.

fn switch_to_single_strategy_def(&mut self) -> Result<()>

Initialize the class with the ‘Single stragegy’ parameters describled in uijlings2013selective.

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.

fn switch_to_selective_search_fast_def(&mut self) -> Result<()>

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

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.

fn switch_to_selective_search_quality_def(&mut self) -> Result<()>

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

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

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

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

Clear the list of images to process

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

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

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

Clear the list of graph segmentations to process;

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

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

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

Clear the list of strategy to process;

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

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

impl SelectiveSearchSegmentationTraitConst for SelectiveSearchSegmentation

fn as_raw_SelectiveSearchSegmentation(&self) -> *const c_void

impl Send for SelectiveSearchSegmentation