Trait opencv::prelude::SelectiveSearchSegmentation

source · [−]
pub trait SelectiveSearchSegmentation: AlgorithmTrait + SelectiveSearchSegmentationConst {
    fn as_raw_mut_SelectiveSearchSegmentation(&mut self) -> *mut c_void;

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

Required Methods

Provided Methods

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

Parameters
  • img: The image

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

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

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

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

Parameters
  • img: The image

Clear the list of images to process

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

Parameters
  • g: The graph segmentation

Clear the list of graph segmentations to process;

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

Parameters
  • s: The strategy

Clear the list of strategy to process;

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.

Implementors