Type Definition opencv::types::PtrOfDualTVL1OpticalFlow

pub type PtrOfDualTVL1OpticalFlow = Ptr<dyn DualTVL1OpticalFlow>;

Implementations

impl PtrOfDualTVL1OpticalFlow

pub fn as_raw_PtrOfDualTVL1OpticalFlow(&self) -> *const c_void

pub fn as_raw_mut_PtrOfDualTVL1OpticalFlow(&mut self) -> *mut c_void

Trait Implementations

impl AlgorithmTrait for PtrOfDualTVL1OpticalFlow

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 PtrOfDualTVL1OpticalFlow

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 DenseOpticalFlow for PtrOfDualTVL1OpticalFlow

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

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

Calculates an optical flow.

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

Releases all inner buffers.

impl DenseOpticalFlowConst for PtrOfDualTVL1OpticalFlow

fn as_raw_DenseOpticalFlow(&self) -> *const c_void

impl DualTVL1OpticalFlow for PtrOfDualTVL1OpticalFlow

fn as_raw_mut_DualTVL1OpticalFlow(&mut self) -> *mut c_void

fn set_tau(&mut self, val: f64) -> Result<()>

Time step of the numerical scheme

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

Weight parameter for the data term, attachment parameter

fn set_theta(&mut self, val: f64) -> Result<()>

Weight parameter for (u - v)^2, tightness parameter

fn set_gamma(&mut self, val: f64) -> Result<()>

coefficient for additional illumination variation term

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

Number of scales used to create the pyramid of images

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

Number of warpings per scale

fn set_epsilon(&mut self, val: f64) -> Result<()>

Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time

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

Inner iterations (between outlier filtering) used in the numerical scheme

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

Outer iterations (number of inner loops) used in the numerical scheme

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

Use initial flow

fn set_scale_step(&mut self, val: f64) -> Result<()>

Step between scales (<1)

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

Median filter kernel size (1 = no filter) (3 or 5)

impl DualTVL1OpticalFlowConst for PtrOfDualTVL1OpticalFlow

fn as_raw_DualTVL1OpticalFlow(&self) -> *const c_void

fn get_tau(&self) -> Result<f64>

Time step of the numerical scheme

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

Weight parameter for the data term, attachment parameter

fn get_theta(&self) -> Result<f64>

Weight parameter for (u - v)^2, tightness parameter

fn get_gamma(&self) -> Result<f64>

coefficient for additional illumination variation term

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

Number of scales used to create the pyramid of images

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

Number of warpings per scale

fn get_epsilon(&self) -> Result<f64>

Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time

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

Inner iterations (between outlier filtering) used in the numerical scheme

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

Outer iterations (number of inner loops) used in the numerical scheme

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

Use initial flow

fn get_scale_step(&self) -> Result<f64>

Step between scales (<1)

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

Median filter kernel size (1 = no filter) (3 or 5)