Type Definition opencv::types::PtrOfDenseRLOFOpticalFlow

type PtrOfDenseRLOFOpticalFlow = Ptr<dyn DenseRLOFOpticalFlow>;

Implementations

impl PtrOfDenseRLOFOpticalFlow

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfDenseRLOFOpticalFlow

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 DenseOpticalFlow for PtrOfDenseRLOFOpticalFlow

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

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

pub fn calc(
    &mut self,
    i0: &dyn ToInputArray,
    i1: &dyn ToInputArray,
    flow: &mut dyn ToInputOutputArray
) -> Result<()>

Calculates an optical flow.

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

Releases all inner buffers.

impl DenseRLOFOpticalFlow for PtrOfDenseRLOFOpticalFlow

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

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

pub fn set_rlof_optical_flow_parameter(
    &mut self,
    val: Ptr<RLOFOpticalFlowParameter>
) -> Result<()>

Configuration of the RLOF alogrithm.

pub fn get_rlof_optical_flow_parameter(
    &self
) -> Result<Ptr<RLOFOpticalFlowParameter>>

Configuration of the RLOF alogrithm.

pub fn set_forward_backward(&mut self, val: f32) -> Result<()>

Threshold for the forward backward confidence check For each grid point

inline formula

a motion vector

inline formula

is computed. * If the forward backward error

block formula

* is larger than threshold given by this function then the motion vector will not be used by the following * vector field interpolation.

inline formula

denotes the backward flow. Note, the forward backward test * will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation. * see also: getForwardBackward, setGridStep

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

Threshold for the forward backward confidence check For each grid point

inline formula

a motion vector

inline formula

is computed. * If the forward backward error

block formula

* is larger than threshold given by this function then the motion vector will not be used by the following * vector field interpolation.

inline formula

denotes the backward flow. Note, the forward backward test * will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation. * getForwardBackward, setGridStep

pub fn get_grid_step(&self) -> Result<Size>

Size of the grid to spawn the motion vectors. For each grid point a motion vector is computed. Some motion vectors will be removed due to the forwatd backward * threshold (if set >0). The rest will be the base of the vector field interpolation. * see also: getForwardBackward, setGridStep

pub fn set_grid_step(&mut self, val: Size) -> Result<()>

Size of the grid to spawn the motion vectors. For each grid point a motion vector is computed. Some motion vectors will be removed due to the forwatd backward * threshold (if set >0). The rest will be the base of the vector field interpolation. * see also: getForwardBackward, setGridStep * see also: getGridStep

pub fn set_interpolation(&mut self, val: InterpolationType) -> Result<()>

Interpolation used to compute the dense optical flow. Two interpolation algorithms are supported * - INTERP_GEO applies the fast geodesic interpolation, see Geistert2016. * - INTERP_EPIC_RESIDUAL applies the edge-preserving interpolation, see Revaud2015,Geistert2016. * see also: ximgproc::EdgeAwareInterpolator, getInterpolation

pub fn get_interpolation(&self) -> Result<InterpolationType>

Interpolation used to compute the dense optical flow. Two interpolation algorithms are supported * - INTERP_GEO applies the fast geodesic interpolation, see Geistert2016. * - INTERP_EPIC_RESIDUAL applies the edge-preserving interpolation, see Revaud2015,Geistert2016. * see also: ximgproc::EdgeAwareInterpolator, getInterpolation * see also: ximgproc::EdgeAwareInterpolator, setInterpolation

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

see ximgproc::EdgeAwareInterpolator() K value. K is a number of nearest-neighbor matches considered, when fitting a locally affine * model. Usually it should be around 128. However, lower values would make the interpolation noticeably faster. * see also: ximgproc::EdgeAwareInterpolator, setEPICK

pub fn set_epick(&mut self, val: i32) -> Result<()>

see ximgproc::EdgeAwareInterpolator() K value. K is a number of nearest-neighbor matches considered, when fitting a locally affine * model. Usually it should be around 128. However, lower values would make the interpolation noticeably faster. * see also: ximgproc::EdgeAwareInterpolator, setEPICK * see also: ximgproc::EdgeAwareInterpolator, getEPICK

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

see ximgproc::EdgeAwareInterpolator() sigma value. Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine * fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the * output flow. * see also: ximgproc::EdgeAwareInterpolator, setEPICSigma

pub fn set_epic_sigma(&mut self, val: f32) -> Result<()>

see ximgproc::EdgeAwareInterpolator() sigma value. Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine * fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the * output flow. * see also: ximgproc::EdgeAwareInterpolator, setEPICSigma * see also: ximgproc::EdgeAwareInterpolator, getEPICSigma

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

see ximgproc::EdgeAwareInterpolator() lambda value. Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, * should be in the range of 0 to 1000. * see also: ximgproc::EdgeAwareInterpolator, setEPICSigma

pub fn set_epic_lambda(&mut self, val: f32) -> Result<()>

see ximgproc::EdgeAwareInterpolator() lambda value. Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, * should be in the range of 0 to 1000. * see also: ximgproc::EdgeAwareInterpolator, setEPICSigma * see also: ximgproc::EdgeAwareInterpolator, getEPICLambda

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

see ximgproc::EdgeAwareInterpolator(). Sets the respective fastGlobalSmootherFilter() parameter. * see also: ximgproc::EdgeAwareInterpolator, setFgsLambda

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

see ximgproc::EdgeAwareInterpolator(). Sets the respective fastGlobalSmootherFilter() parameter. * see also: ximgproc::EdgeAwareInterpolator, setFgsLambda * see also: ximgproc::EdgeAwareInterpolator, ximgproc::fastGlobalSmootherFilter, getFgsLambda

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

see ximgproc::EdgeAwareInterpolator(). Sets the respective fastGlobalSmootherFilter() parameter. * see also: ximgproc::EdgeAwareInterpolator, ximgproc::fastGlobalSmootherFilter, setFgsSigma

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

see ximgproc::EdgeAwareInterpolator(). Sets the respective fastGlobalSmootherFilter() parameter. * see also: ximgproc::EdgeAwareInterpolator, ximgproc::fastGlobalSmootherFilter, setFgsSigma * see also: ximgproc::EdgeAwareInterpolator, ximgproc::fastGlobalSmootherFilter, getFgsSigma

pub fn set_use_post_proc(&mut self, val: bool) -> Result<()>

enables ximgproc::fastGlobalSmootherFilter

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

enables ximgproc::fastGlobalSmootherFilter

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

enables VariationalRefinement

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

enables VariationalRefinement

pub fn set_ricsp_size(&mut self, val: i32) -> Result<()>

Parameter to tune the approximate size of the superpixel used for oversegmentation.

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

Parameter to tune the approximate size of the superpixel used for oversegmentation.

pub fn set_ricslic_type(&mut self, val: i32) -> Result<()>

Parameter to choose superpixel algorithm variant to use:

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

Parameter to choose superpixel algorithm variant to use: