Type Definition opencv::types::PtrOfDisparityWLSFilter

type PtrOfDisparityWLSFilter = Ptr<dyn DisparityWLSFilter>;

Implementations

impl PtrOfDisparityWLSFilter

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfDisparityWLSFilter

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

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

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

Clears the algorithm state

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

Stores algorithm parameters in a file storage

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

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

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

Reads algorithm parameters from a file storage

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

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

pub 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).

pub 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 DisparityFilter for PtrOfDisparityWLSFilter

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

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

pub fn filter(
    &mut self,
    disparity_map_left: &dyn ToInputArray,
    left_view: &dyn ToInputArray,
    filtered_disparity_map: &mut dyn ToOutputArray,
    disparity_map_right: &dyn ToInputArray,
    roi: Rect,
    right_view: &dyn ToInputArray
) -> Result<()>

Apply filtering to the disparity map.

impl DisparityWLSFilter for PtrOfDisparityWLSFilter

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

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

pub fn get_lambda(&mut self) -> Result<f64>

Lambda is a parameter defining the amount of regularization during filtering. Larger values force filtered disparity map edges to adhere more to source image edges. Typical value is 8000.

pub fn set_lambda(&mut self, _lambda: f64) -> Result<()>

See also

pub fn get_sigma_color(&mut self) -> Result<f64>

SigmaColor is a parameter defining how sensitive the filtering process is to source image edges. Large values can lead to disparity leakage through low-contrast edges. Small values can make the filter too sensitive to noise and textures in the source image. Typical values range from 0.8 to 2.0.

pub fn set_sigma_color(&mut self, _sigma_color: f64) -> Result<()>

See also

pub fn get_lr_cthresh(&mut self) -> Result<i32>

LRCthresh is a threshold of disparity difference used in left-right-consistency check during confidence map computation. The default value of 24 (1.5 pixels) is virtually always good enough.

pub fn set_lr_cthresh(&mut self, _lrc_thresh: i32) -> Result<()>

See also

pub fn get_depth_discontinuity_radius(&mut self) -> Result<i32>

DepthDiscontinuityRadius is a parameter used in confidence computation. It defines the size of low-confidence regions around depth discontinuities.

pub fn set_depth_discontinuity_radius(
    &mut self,
    _disc_radius: i32
) -> Result<()>

See also

pub fn get_confidence_map(&mut self) -> Result<Mat>

Get the confidence map that was used in the last filter call. It is a CV_32F one-channel image with values ranging from 0.0 (totally untrusted regions of the raw disparity map) to 255.0 (regions containing correct disparity values with a high degree of confidence).

pub fn get_roi(&mut self) -> Result<Rect>

Get the ROI used in the last filter call