opencv::prelude

Trait SelectiveSearchSegmentationTrait

Source 
pub trait SelectiveSearchSegmentationTrait: AlgorithmTrait + SelectiveSearchSegmentationTraitConst {

Show 15 methods    // Required method
    fn as_raw_mut_SelectiveSearchSegmentation(&mut self) -> *mut c_void;

    // Provided methods
    fn set_base_image(&mut self, img: &impl ToInputArray) -> Result<()> { ... }
    fn switch_to_single_strategy(&mut self, k: i32, sigma: f32) -> Result<()> { ... }
    fn switch_to_single_strategy_def(&mut self) -> Result<()> { ... }
    fn switch_to_selective_search_fast(
        &mut self,
        base_k: i32,
        inc_k: i32,
        sigma: f32,
    ) -> Result<()> { ... }
    fn switch_to_selective_search_fast_def(&mut self) -> Result<()> { ... }
    fn switch_to_selective_search_quality(
        &mut self,
        base_k: i32,
        inc_k: i32,
        sigma: f32,
    ) -> Result<()> { ... }
    fn switch_to_selective_search_quality_def(&mut self) -> Result<()> { ... }
    fn add_image(&mut self, img: &impl ToInputArray) -> Result<()> { ... }
    fn clear_images(&mut self) -> Result<()> { ... }
    fn add_graph_segmentation(
        &mut self,
        g: Ptr<GraphSegmentation>,
    ) -> Result<()> { ... }
    fn clear_graph_segmentations(&mut self) -> Result<()> { ... }
    fn add_strategy(
        &mut self,
        s: Ptr<SelectiveSearchSegmentationStrategy>,
    ) -> Result<()> { ... }
    fn clear_strategies(&mut self) -> Result<()> { ... }
    fn process(&mut self, rects: &mut Vector<Rect>) -> Result<()> { ... }

}
Expand description

Mutable methods for crate::ximgproc::SelectiveSearchSegmentation

Required Methods§

Source

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

Provided Methods§

Source

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

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

§Parameters
  • img: The image
Source

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

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

§Parameters
  • k: The k parameter for the graph segmentation
  • sigma: The sigma parameter for the graph segmentation
§C++ default parameters
  • k: 200
  • sigma: 0.8f
Source

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

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

§Parameters
  • k: The k parameter for the graph segmentation
  • sigma: The sigma parameter for the graph segmentation
§Note

This alternative version of SelectiveSearchSegmentationTrait::switch_to_single_strategy function uses the following default values for its arguments:

  • k: 200
  • sigma: 0.8f
Source

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.

§Parameters
  • base_k: The k parameter for the first graph segmentation
  • inc_k: The increment of the k parameter for all graph segmentations
  • sigma: The sigma parameter for the graph segmentation
§C++ default parameters
  • base_k: 150
  • inc_k: 150
  • sigma: 0.8f
Source

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

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

§Parameters
  • base_k: The k parameter for the first graph segmentation
  • inc_k: The increment of the k parameter for all graph segmentations
  • sigma: The sigma parameter for the graph segmentation
§Note

This alternative version of SelectiveSearchSegmentationTrait::switch_to_selective_search_fast function uses the following default values for its arguments:

  • base_k: 150
  • inc_k: 150
  • sigma: 0.8f
Source

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.

§Parameters
  • base_k: The k parameter for the first graph segmentation
  • inc_k: The increment of the k parameter for all graph segmentations
  • sigma: The sigma parameter for the graph segmentation
§C++ default parameters
  • base_k: 150
  • inc_k: 150
  • sigma: 0.8f
Source

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

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

§Parameters
  • base_k: The k parameter for the first graph segmentation
  • inc_k: The increment of the k parameter for all graph segmentations
  • sigma: The sigma parameter for the graph segmentation
§Note

This alternative version of SelectiveSearchSegmentationTrait::switch_to_selective_search_quality function uses the following default values for its arguments:

  • base_k: 150
  • inc_k: 150
  • sigma: 0.8f
Source

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

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

§Parameters
  • img: The image
Source

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

Clear the list of images to process

Source

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

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

§Parameters
  • g: The graph segmentation
Source

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

Clear the list of graph segmentations to process;

Source

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

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

§Parameters
  • s: The strategy
Source

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

Clear the list of strategy to process;

Source

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

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

§Parameters
  • rects: The list of rects. The first ones are more relevents than the lasts ones.

Dyn Compatibility§

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors§