Type Definition opencv::types::PtrOfHfsSegment

pub type PtrOfHfsSegment = Ptr<dyn HfsSegment>;

Implementations

impl PtrOfHfsSegment

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfHfsSegment

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

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

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for PtrOfHfsSegment

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

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).

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 HfsSegment for PtrOfHfsSegment

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

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.

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

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.

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

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.

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

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

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

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.

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

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.

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

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.

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

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

do segmentation gpu

fn perform_segment_cpu(
    &mut self,
    src: &dyn 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.

impl HfsSegmentConst for PtrOfHfsSegment

fn as_raw_HfsSegment(&self) -> *const c_void