Type Definition opencv::types::PtrOfSelectiveSearchSegmentationStrategy

type PtrOfSelectiveSearchSegmentationStrategy = Ptr<dyn SelectiveSearchSegmentationStrategy>;

Implementations

impl PtrOfSelectiveSearchSegmentationStrategy

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfSelectiveSearchSegmentationStrategy

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 SelectiveSearchSegmentationStrategy for PtrOfSelectiveSearchSegmentationStrategy

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

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

pub fn set_image(
    &mut self,
    img: &dyn ToInputArray,
    regions: &dyn ToInputArray,
    sizes: &dyn ToInputArray,
    image_id: i32
) -> Result<()>

Set a initial image, with a segmentation.

pub fn get(&mut self, r1: i32, r2: i32) -> Result<f32>

Return the score between two regions (between 0 and 1)

pub fn merge(&mut self, r1: i32, r2: i32) -> Result<()>

Inform the strategy that two regions will be merged