Struct opencv::cudaoptflow::CUDA_SparsePyrLKOpticalFlow
source · pub struct CUDA_SparsePyrLKOpticalFlow { /* private fields */ }
Expand description
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§
source§impl CUDA_SparsePyrLKOpticalFlow
impl CUDA_SparsePyrLKOpticalFlow
sourcepub fn create(
win_size: Size,
max_level: i32,
iters: i32,
use_initial_flow: bool
) -> Result<Ptr<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
sourcepub fn create_def() -> Result<Ptr<CUDA_SparsePyrLKOpticalFlow>>
pub fn create_def() -> Result<Ptr<CUDA_SparsePyrLKOpticalFlow>>
§Note
This alternative version of CUDA_SparsePyrLKOpticalFlow::create function uses the following default values for its arguments:
- win_size: Size(21,21)
- max_level: 3
- iters: 30
- use_initial_flow: false
Trait Implementations§
source§impl AlgorithmTraitConst for CUDA_SparsePyrLKOpticalFlow
impl AlgorithmTraitConst for CUDA_SparsePyrLKOpticalFlow
fn as_raw_Algorithm(&self) -> *const c_void
source§fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
Stores algorithm parameters in a file storage
source§fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
Stores algorithm parameters in a file storage Read more
source§fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
@deprecated Read more
source§fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>
fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>
👎Deprecated:
§Note
Deprecated: ## Note
This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments: Read more
source§fn empty(&self) -> Result<bool>
fn empty(&self) -> Result<bool>
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
source§fn save(&self, filename: &str) -> Result<()>
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).
source§fn get_default_name(&self) -> Result<String>
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.
source§impl Boxed for CUDA_SparsePyrLKOpticalFlow
impl Boxed for CUDA_SparsePyrLKOpticalFlow
source§unsafe fn from_raw(
ptr: <CUDA_SparsePyrLKOpticalFlow as OpenCVFromExtern>::ExternReceive
) -> Self
unsafe fn from_raw( ptr: <CUDA_SparsePyrLKOpticalFlow as OpenCVFromExtern>::ExternReceive ) -> Self
Wrap the specified raw pointer Read more
source§fn into_raw(
self
) -> <CUDA_SparsePyrLKOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw( self ) -> <CUDA_SparsePyrLKOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
source§fn as_raw(
&self
) -> <CUDA_SparsePyrLKOpticalFlow as OpenCVTypeExternContainer>::ExternSend
fn as_raw( &self ) -> <CUDA_SparsePyrLKOpticalFlow as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
source§fn as_raw_mut(
&mut self
) -> <CUDA_SparsePyrLKOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self ) -> <CUDA_SparsePyrLKOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
source§impl CUDA_SparseOpticalFlowTrait for CUDA_SparsePyrLKOpticalFlow
impl CUDA_SparseOpticalFlowTrait for CUDA_SparsePyrLKOpticalFlow
fn as_raw_mut_CUDA_SparseOpticalFlow(&mut self) -> *mut c_void
source§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 impl StreamTrait
) -> Result<()>
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 impl StreamTrait ) -> Result<()>
Calculates a sparse optical flow. Read more
source§fn calc_def(
&mut self,
prev_img: &impl ToInputArray,
next_img: &impl ToInputArray,
prev_pts: &impl ToInputArray,
next_pts: &mut impl ToInputOutputArray,
status: &mut impl ToOutputArray
) -> Result<()>
fn calc_def( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray ) -> Result<()>
Calculates a sparse optical flow. Read more
source§impl CUDA_SparseOpticalFlowTraitConst for CUDA_SparsePyrLKOpticalFlow
impl CUDA_SparseOpticalFlowTraitConst for CUDA_SparsePyrLKOpticalFlow
fn as_raw_CUDA_SparseOpticalFlow(&self) -> *const c_void
source§impl CUDA_SparsePyrLKOpticalFlowTrait for CUDA_SparsePyrLKOpticalFlow
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<()>
source§impl CUDA_SparsePyrLKOpticalFlowTraitConst for CUDA_SparsePyrLKOpticalFlow
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>
source§impl Debug for CUDA_SparsePyrLKOpticalFlow
impl Debug for CUDA_SparsePyrLKOpticalFlow
source§impl Drop for CUDA_SparsePyrLKOpticalFlow
impl Drop for CUDA_SparsePyrLKOpticalFlow
source§impl From<CUDA_SparsePyrLKOpticalFlow> for Algorithm
impl From<CUDA_SparsePyrLKOpticalFlow> for Algorithm
source§fn from(s: CUDA_SparsePyrLKOpticalFlow) -> Self
fn from(s: CUDA_SparsePyrLKOpticalFlow) -> Self
Converts to this type from the input type.
source§impl From<CUDA_SparsePyrLKOpticalFlow> for CUDA_SparseOpticalFlow
impl From<CUDA_SparsePyrLKOpticalFlow> for CUDA_SparseOpticalFlow
source§fn from(s: CUDA_SparsePyrLKOpticalFlow) -> Self
fn from(s: CUDA_SparsePyrLKOpticalFlow) -> Self
Converts to this type from the input type.
impl Send for CUDA_SparsePyrLKOpticalFlow
Auto Trait Implementations§
impl Freeze for CUDA_SparsePyrLKOpticalFlow
impl RefUnwindSafe for CUDA_SparsePyrLKOpticalFlow
impl !Sync for CUDA_SparsePyrLKOpticalFlow
impl Unpin for CUDA_SparsePyrLKOpticalFlow
impl UnwindSafe for CUDA_SparsePyrLKOpticalFlow
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
source§unsafe fn modify_inplace<Res>(
&mut self,
f: impl FnOnce(&Mat, &mut Mat) -> Res
) -> Res
unsafe fn modify_inplace<Res>( &mut self, f: impl FnOnce(&Mat, &mut Mat) -> Res ) -> Res
Helper function to call OpenCV functions that allow in-place modification of a
Mat
or another similar object. By passing
a mutable reference to the Mat
to this function your closure will get called with the read reference and a write references
to the same Mat
. This is of course unsafe as it breaks the Rust aliasing rules, but it might be useful for some performance
sensitive operations. One example of an OpenCV function that allows such in-place modification is imgproc::threshold
. Read more