opencv::hub_prelude

Trait HfsSegmentTrait

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pub trait HfsSegmentTrait: AlgorithmTrait + HfsSegmentTraitConst {
Show 19 methods // Required method fn as_raw_mut_HfsSegment(&mut self) -> *mut c_void; // Provided methods fn set_seg_egb_threshold_i(&mut self, c: f32) -> Result<()> { ... } fn get_seg_egb_threshold_i(&mut self) -> Result<f32> { ... } fn set_min_region_size_i(&mut self, n: i32) -> Result<()> { ... } fn get_min_region_size_i(&mut self) -> Result<i32> { ... } fn set_seg_egb_threshold_ii(&mut self, c: f32) -> Result<()> { ... } fn get_seg_egb_threshold_ii(&mut self) -> Result<f32> { ... } fn set_min_region_size_ii(&mut self, n: i32) -> Result<()> { ... } fn get_min_region_size_ii(&mut self) -> Result<i32> { ... } fn set_spatial_weight(&mut self, w: f32) -> Result<()> { ... } fn get_spatial_weight(&mut self) -> Result<f32> { ... } fn set_slic_spixel_size(&mut self, n: i32) -> Result<()> { ... } fn get_slic_spixel_size(&mut self) -> Result<i32> { ... } fn set_num_slic_iter(&mut self, n: i32) -> Result<()> { ... } fn get_num_slic_iter(&mut self) -> Result<i32> { ... } fn perform_segment_gpu( &mut self, src: &impl ToInputArray, if_draw: bool, ) -> Result<Mat> { ... } fn perform_segment_gpu_def( &mut self, src: &impl ToInputArray, ) -> Result<Mat> { ... } fn perform_segment_cpu( &mut self, src: &impl ToInputArray, if_draw: bool, ) -> Result<Mat> { ... } fn perform_segment_cpu_def( &mut self, src: &impl ToInputArray, ) -> Result<Mat> { ... }
}
Expand description

Mutable methods for crate::hfs::HfsSegment

Required Methods§

Provided Methods§

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fn set_seg_egb_threshold_i(&mut self, c: f32) -> Result<()>

set and get the parameter segEgbThresholdI. This parameter is used in the second stage mentioned above. It is a constant used to threshold weights of the edge when merging adjacent nodes when applying EGB algorithm. The segmentation result tends to have more regions remained if this value is large and vice versa.

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fn get_seg_egb_threshold_i(&mut self) -> Result<f32>

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fn set_min_region_size_i(&mut self, n: i32) -> Result<()>

set and get the parameter minRegionSizeI. This parameter is used in the second stage mentioned above. After the EGB segmentation, regions that have fewer pixels then this parameter will be merged into it’s adjacent region.

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fn get_min_region_size_i(&mut self) -> Result<i32>

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fn set_seg_egb_threshold_ii(&mut self, c: f32) -> Result<()>

set and get the parameter segEgbThresholdII. This parameter is used in the third stage mentioned above. It serves the same purpose as segEgbThresholdI. The segmentation result tends to have more regions remained if this value is large and vice versa.

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fn get_seg_egb_threshold_ii(&mut self) -> Result<f32>

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fn set_min_region_size_ii(&mut self, n: i32) -> Result<()>

set and get the parameter minRegionSizeII. This parameter is used in the third stage mentioned above. It serves the same purpose as minRegionSizeI

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fn get_min_region_size_ii(&mut self) -> Result<i32>

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fn set_spatial_weight(&mut self, w: f32) -> Result<()>

set and get the parameter spatialWeight. This parameter is used in the first stage mentioned above(the SLIC stage). It describes how important is the role of position when calculating the distance between each pixel and it’s center. The exact formula to calculate the distance is inline formula. The segmentation result tends to have more local consistency if this value is larger.

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fn get_spatial_weight(&mut self) -> Result<f32>

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fn set_slic_spixel_size(&mut self, n: i32) -> Result<()>

set and get the parameter slicSpixelSize. This parameter is used in the first stage mentioned above(the SLIC stage). It describes the size of each superpixel when initializing SLIC. Every superpixel approximately has inline formula pixels in the beginning.

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fn get_slic_spixel_size(&mut self) -> Result<i32>

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fn set_num_slic_iter(&mut self, n: i32) -> Result<()>

set and get the parameter numSlicIter. This parameter is used in the first stage. It describes how many iteration to perform when executing SLIC.

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fn get_num_slic_iter(&mut self) -> Result<i32>

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fn perform_segment_gpu( &mut self, src: &impl ToInputArray, if_draw: bool, ) -> Result<Mat>

do segmentation gpu

§Parameters
  • src: : the input image
  • ifDraw: : if draw the image in the returned Mat. if this parameter is false, then the content of the returned Mat is a matrix of index, describing the region each pixel belongs to. And it’s data type is CV_16U. If this parameter is true, then the returned Mat is a segmented picture, and color of each region is the average color of all pixels in that region. And it’s data type is the same as the input image
§C++ default parameters
  • if_draw: true
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fn perform_segment_gpu_def(&mut self, src: &impl ToInputArray) -> Result<Mat>

do segmentation gpu

§Parameters
  • src: : the input image
  • ifDraw: : if draw the image in the returned Mat. if this parameter is false, then the content of the returned Mat is a matrix of index, describing the region each pixel belongs to. And it’s data type is CV_16U. If this parameter is true, then the returned Mat is a segmented picture, and color of each region is the average color of all pixels in that region. And it’s data type is the same as the input image
§Note

This alternative version of HfsSegmentTrait::perform_segment_gpu function uses the following default values for its arguments:

  • if_draw: true
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fn perform_segment_cpu( &mut self, src: &impl ToInputArray, if_draw: bool, ) -> Result<Mat>

do segmentation with cpu This method is only implemented for reference. It is highly NOT recommanded to use it.

§C++ default parameters
  • if_draw: true
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fn perform_segment_cpu_def(&mut self, src: &impl ToInputArray) -> Result<Mat>

do segmentation with cpu This method is only implemented for reference. It is highly NOT recommanded to use it.

§Note

This alternative version of HfsSegmentTrait::perform_segment_cpu function uses the following default values for its arguments:

  • if_draw: true

Object Safety§

This trait is not object safe.

Implementors§