Struct opencv::cudaoptflow::CUDA_SparsePyrLKOpticalFlow

pub struct CUDA_SparsePyrLKOpticalFlow { /* private fields */ }

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

Implementations

impl CUDA_SparsePyrLKOpticalFlow

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

C++ default parameters

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

Trait Implementations

impl AlgorithmTrait for CUDA_SparsePyrLKOpticalFlow

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 CUDA_SparsePyrLKOpticalFlow

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

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 Boxed for CUDA_SparsePyrLKOpticalFlow

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl CUDA_SparseOpticalFlowTrait for CUDA_SparsePyrLKOpticalFlow

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

fn calc( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, err: &mut impl ToOutputArray, stream: &mut Stream ) -> Result<()>

Calculates a sparse optical flow.

impl CUDA_SparseOpticalFlowTraitConst for CUDA_SparsePyrLKOpticalFlow

fn as_raw_CUDA_SparseOpticalFlow(&self) -> *const c_void

impl CUDA_SparsePyrLKOpticalFlowTrait for CUDA_SparsePyrLKOpticalFlow

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

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<()>

impl CUDA_SparsePyrLKOpticalFlowTraitConst for CUDA_SparsePyrLKOpticalFlow

fn as_raw_CUDA_SparsePyrLKOpticalFlow(&self) -> *const c_void

fn get_win_size(&self) -> Result<Size>

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

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

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

impl Debug for CUDA_SparsePyrLKOpticalFlow

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for CUDA_SparsePyrLKOpticalFlow

fn drop(&mut self)

Executes the destructor for this type.

impl From<CUDA_SparsePyrLKOpticalFlow> for Algorithm

fn from(s: CUDA_SparsePyrLKOpticalFlow) -> Self

Converts to this type from the input type.

impl From<CUDA_SparsePyrLKOpticalFlow> for CUDA_SparseOpticalFlow

fn from(s: CUDA_SparsePyrLKOpticalFlow) -> Self

Converts to this type from the input type.

impl TryFrom<CUDA_SparseOpticalFlow> for CUDA_SparsePyrLKOpticalFlow

type Error = Error

The type returned in the event of a conversion error.

fn try_from(s: CUDA_SparseOpticalFlow) -> Result<Self>

Performs the conversion.

impl Send for CUDA_SparsePyrLKOpticalFlow