Trait opencv::prelude::SelectiveSearchSegmentationStrategy

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pub trait SelectiveSearchSegmentationStrategy: AlgorithmTrait + SelectiveSearchSegmentationStrategyConst {
    // Required method
    fn as_raw_mut_SelectiveSearchSegmentationStrategy(&mut self) -> *mut c_void;

    // Provided methods
    fn set_image(
        &mut self,
        img: &dyn ToInputArray,
        regions: &dyn ToInputArray,
        sizes: &dyn ToInputArray,
        image_id: i32
    ) -> Result<()> { ... }
    fn get(&mut self, r1: i32, r2: i32) -> Result<f32> { ... }
    fn merge(&mut self, r1: i32, r2: i32) -> Result<()> { ... }
}
Expand description

Strategie for the selective search segmentation algorithm The class implements a generic stragery for the algorithm described in uijlings2013selective.

Required Methods§

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

Provided Methods§

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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.

Parameters
  • img: The input image. Any number of channel can be provided
  • regions: A segmentation of the image. The parameter must be the same size of img.
  • sizes: The sizes of different regions
  • image_id: If not set to -1, try to cache pre-computations. If the same set og (img, regions, size) is used, the image_id need to be the same.
C++ default parameters
  • image_id: -1
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fn get(&mut self, r1: i32, r2: i32) -> Result<f32>

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

Parameters
  • r1: The first region
  • r2: The second region
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fn merge(&mut self, r1: i32, r2: i32) -> Result<()>

Inform the strategy that two regions will be merged

Parameters
  • r1: The first region
  • r2: The second region

Implementors§