Type Definition opencv::types::PtrOfRICInterpolator

pub type PtrOfRICInterpolator = Ptr<dyn RICInterpolator>;

Implementations

impl PtrOfRICInterpolator

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfRICInterpolator

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 PtrOfRICInterpolator

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 RICInterpolator for PtrOfRICInterpolator

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

fn set_k(&mut self, k: i32) -> Result<()>

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.

fn set_cost_map(&mut self, cost_map: &Mat) -> Result<()>

Interface to provide a more elaborated cost map, i.e. edge map, for the edge-aware term. This implementation is based on a rather simple gradient-based edge map estimation. To used more complex edge map estimator (e.g. StructuredEdgeDetection that has been used in the original publication) that may lead to improved accuracies, the internal edge map estimation can be bypassed here.

fn set_superpixel_size(&mut self, sp_size: i32) -> Result<()>

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

fn set_superpixel_nn_cnt(&mut self, sp_nn: i32) -> Result<()>

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

fn set_superpixel_ruler(&mut self, ruler: f32) -> Result<()>

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

fn set_superpixel_mode(&mut self, mode: i32) -> Result<()>

Parameter to choose superpixel algorithm variant to use:

fn set_alpha(&mut self, alpha: f32) -> Result<()>

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

fn set_model_iter(&mut self, model_iter: i32) -> Result<()>

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

fn set_refine_models(&mut self, refine_modles: bool) -> Result<()>

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

fn set_max_flow(&mut self, max_flow: f32) -> Result<()>

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.

fn set_use_variational_refinement(
    &mut self,
    use_variational_refinement: bool
) -> Result<()>

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

fn set_use_global_smoother_filter(&mut self, use_fgs: bool) -> Result<()>

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

fn set_fgs_lambda(&mut self, lambda: f32) -> Result<()>

Sets the respective fastGlobalSmootherFilter() parameter.

fn set_fgs_sigma(&mut self, sigma: f32) -> Result<()>

Sets the respective fastGlobalSmootherFilter() parameter.

impl RICInterpolatorConst for PtrOfRICInterpolator

fn as_raw_RICInterpolator(&self) -> *const c_void

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.

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.

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

Parameter to choose superpixel algorithm variant to use:

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

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

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

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

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

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

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.

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

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

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

Sets the respective fastGlobalSmootherFilter() parameter.

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

Sets the respective fastGlobalSmootherFilter() parameter.

impl SparseMatchInterpolator for PtrOfRICInterpolator

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

fn interpolate(
    &mut self,
    from_image: &dyn ToInputArray,
    from_points: &dyn ToInputArray,
    to_image: &dyn ToInputArray,
    to_points: &dyn ToInputArray,
    dense_flow: &mut dyn ToOutputArray
) -> Result<()>

Interpolate input sparse matches.

impl SparseMatchInterpolatorConst for PtrOfRICInterpolator

fn as_raw_SparseMatchInterpolator(&self) -> *const c_void