Trait opencv::cudaoptflow::CUDA_SparsePyrLKOpticalFlow

pub trait CUDA_SparsePyrLKOpticalFlow: CUDA_SparseOpticalFlow + CUDA_SparsePyrLKOpticalFlowConst {
    // Required method
    fn as_raw_mut_CUDA_SparsePyrLKOpticalFlow(&mut self) -> *mut c_void;

    // Provided methods
    fn set_win_size(&mut self, win_size: Size) -> Result<()> { ... }
    fn set_max_level(&mut self, max_level: i32) -> Result<()> { ... }
    fn set_num_iters(&mut self, iters: i32) -> Result<()> { ... }
    fn set_use_initial_flow(&mut self, use_initial_flow: bool) -> Result<()> { ... }
}

Class used for calculating a sparse optical flow.

The class can calculate an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.

See also

calcOpticalFlowPyrLK

Note:

• An example of the Lucas Kanade optical flow algorithm can be found at opencv_source_code/samples/gpu/pyrlk_optical_flow.cpp

Required Methods

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

Provided Methods

fn set_win_size(&mut self, win_size: Size) -> Result<()>

fn set_max_level(&mut self, max_level: i32) -> Result<()>

fn set_num_iters(&mut self, iters: i32) -> Result<()>

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

Implementations

impl dyn CUDA_SparsePyrLKOpticalFlow + '_

pub fn create( win_size: Size, max_level: i32, iters: i32, use_initial_flow: bool ) -> Result<Ptr<dyn CUDA_SparsePyrLKOpticalFlow>>

C++ default parameters

• win_size: Size(21,21)
• max_level: 3
• iters: 30
• use_initial_flow: false

Implementors

impl CUDA_SparsePyrLKOpticalFlow for Ptr<dyn CUDA_SparsePyrLKOpticalFlow>