pub struct CUDA_SparseOpticalFlow { /* private fields */ }
Expand description
Base interface for sparse optical flow algorithms.
Trait Implementations§
Source§impl AlgorithmTraitConst for CUDA_SparseOpticalFlow
impl AlgorithmTraitConst for CUDA_SparseOpticalFlow
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_SparseOpticalFlow
impl Boxed for CUDA_SparseOpticalFlow
Source§unsafe fn from_raw(
ptr: <CUDA_SparseOpticalFlow as OpenCVFromExtern>::ExternReceive,
) -> Self
unsafe fn from_raw( ptr: <CUDA_SparseOpticalFlow as OpenCVFromExtern>::ExternReceive, ) -> Self
Wrap the specified raw pointer Read more
Source§fn into_raw(
self,
) -> <CUDA_SparseOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw( self, ) -> <CUDA_SparseOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
Source§fn as_raw(
&self,
) -> <CUDA_SparseOpticalFlow as OpenCVTypeExternContainer>::ExternSend
fn as_raw( &self, ) -> <CUDA_SparseOpticalFlow as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
Source§fn as_raw_mut(
&mut self,
) -> <CUDA_SparseOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self, ) -> <CUDA_SparseOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
Source§impl CUDA_SparseOpticalFlowTrait for CUDA_SparseOpticalFlow
impl CUDA_SparseOpticalFlowTrait for CUDA_SparseOpticalFlow
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_SparseOpticalFlow
impl CUDA_SparseOpticalFlowTraitConst for CUDA_SparseOpticalFlow
fn as_raw_CUDA_SparseOpticalFlow(&self) -> *const c_void
Source§impl Debug for CUDA_SparseOpticalFlow
impl Debug for CUDA_SparseOpticalFlow
Source§impl Drop for CUDA_SparseOpticalFlow
impl Drop for CUDA_SparseOpticalFlow
Source§impl From<CUDA_SparseOpticalFlow> for Algorithm
impl From<CUDA_SparseOpticalFlow> for Algorithm
Source§fn from(s: CUDA_SparseOpticalFlow) -> Self
fn from(s: CUDA_SparseOpticalFlow) -> 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_SparseOpticalFlow
Auto Trait Implementations§
impl Freeze for CUDA_SparseOpticalFlow
impl RefUnwindSafe for CUDA_SparseOpticalFlow
impl !Sync for CUDA_SparseOpticalFlow
impl Unpin for CUDA_SparseOpticalFlow
impl UnwindSafe for CUDA_SparseOpticalFlow
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 unsafe in a general case as it leads to having non-exclusive mutable access to the internal data,
but it can be useful for some performance sensitive operations. One example of an OpenCV function that allows such in-place
modification is imgproc::threshold
. Read more