Trait opencv::hub_prelude::RICInterpolatorTraitConst

pub trait RICInterpolatorTraitConst: SparseMatchInterpolatorTraitConst {
    // Required method
    fn as_raw_RICInterpolator(&self) -> *const c_void;

    // Provided methods
    fn get_k(&self) -> Result<i32> { ... }
    fn get_superpixel_size(&self) -> Result<i32> { ... }
    fn get_superpixel_nn_cnt(&self) -> Result<i32> { ... }
    fn get_superpixel_ruler(&self) -> Result<f32> { ... }
    fn get_superpixel_mode(&self) -> Result<i32> { ... }
    fn get_alpha(&self) -> Result<f32> { ... }
    fn get_model_iter(&self) -> Result<i32> { ... }
    fn get_refine_models(&self) -> Result<bool> { ... }
    fn get_max_flow(&self) -> Result<f32> { ... }
    fn get_use_variational_refinement(&self) -> Result<bool> { ... }
    fn get_use_global_smoother_filter(&self) -> Result<bool> { ... }
    fn get_fgs_lambda(&self) -> Result<f32> { ... }
    fn get_fgs_sigma(&self) -> Result<f32> { ... }
}

Constant methods for crate::ximgproc::RICInterpolator

Required Methods

fn as_raw_RICInterpolator(&self) -> *const c_void

Provided Methods

fn get_k(&self) -> Result<i32>

K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of Hu2017 uses 32.

See also

setK

fn get_superpixel_size(&self) -> Result<i32>

Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

See also

setCostMap setSuperpixelSize

fn get_superpixel_nn_cnt(&self) -> Result<i32>

Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

See also

setSuperpixelNNCnt

fn get_superpixel_ruler(&self) -> Result<f32>

Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

See also

cv::ximgproc::createSuperpixelSLIC setSuperpixelRuler

fn get_superpixel_mode(&self) -> Result<i32>

Parameter to choose superpixel algorithm variant to use:

• cv::ximgproc::SLICType SLIC segments image using a desired region_size (value: 100)
• cv::ximgproc::SLICType SLICO will optimize using adaptive compactness factor (value: 101)
• cv::ximgproc::SLICType MSLIC will optimize using manifold methods resulting in more content-sensitive superpixels (value: 102).

See also

cv::ximgproc::createSuperpixelSLIC setSuperpixelMode

fn get_alpha(&self) -> Result<f32>

Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

See also

setAlpha

fn get_model_iter(&self) -> Result<i32>

Parameter defining the number of iterations for piece-wise affine model estimation.

See also

setModelIter

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

Parameter to choose wether additional refinement of the piece-wise affine models is employed.

See also

setRefineModels

fn get_max_flow(&self) -> Result<f32>

MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

See also

setMaxFlow

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

Parameter to choose wether the VariationalRefinement post-processing is employed.

See also

setUseVariationalRefinement

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

Sets whether the fastGlobalSmootherFilter() post-processing is employed.

See also

setUseGlobalSmootherFilter

fn get_fgs_lambda(&self) -> Result<f32>

Sets the respective fastGlobalSmootherFilter() parameter.

See also

setFGSLambda

fn get_fgs_sigma(&self) -> Result<f32>

Sets the respective fastGlobalSmootherFilter() parameter.

See also

setFGSSigma

Implementors

impl RICInterpolatorTraitConst for Ptr<RICInterpolator>

impl RICInterpolatorTraitConst for RICInterpolator