Type Definition opencv::types::PtrOfRICInterpolator

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

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 RICInterpolator for PtrOfRICInterpolator

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

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

pub 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.

pub 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

pub 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.

pub 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.

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

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

pub 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.

pub 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

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

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

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

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

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

Parameter to choose superpixel algorithm variant to use:

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

Parameter to choose superpixel algorithm variant to use:

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

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

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

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

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

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

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

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

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

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

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

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

pub 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.

pub 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

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

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

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

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

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

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

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

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

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

Sets the respective fastGlobalSmootherFilter() parameter.

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

Sets the respective fastGlobalSmootherFilter() parameter.

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

Sets the respective fastGlobalSmootherFilter() parameter.

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

Sets the respective fastGlobalSmootherFilter() parameter.

impl SparseMatchInterpolator for PtrOfRICInterpolator

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

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

pub 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.