pub struct CUDA_BroxOpticalFlow { /* private fields */ }
Expand description
Class computing the optical flow for two images using Brox et al Optical Flow algorithm (Brox2004).
Implementations§
Source§impl CUDA_BroxOpticalFlow
impl CUDA_BroxOpticalFlow
Sourcepub fn create(
alpha: f64,
gamma: f64,
scale_factor: f64,
inner_iterations: i32,
outer_iterations: i32,
solver_iterations: i32,
) -> Result<Ptr<CUDA_BroxOpticalFlow>>
pub fn create( alpha: f64, gamma: f64, scale_factor: f64, inner_iterations: i32, outer_iterations: i32, solver_iterations: i32, ) -> Result<Ptr<CUDA_BroxOpticalFlow>>
§C++ default parameters
- alpha: 0.197
- gamma: 50.0
- scale_factor: 0.8
- inner_iterations: 5
- outer_iterations: 150
- solver_iterations: 10
Sourcepub fn create_def() -> Result<Ptr<CUDA_BroxOpticalFlow>>
pub fn create_def() -> Result<Ptr<CUDA_BroxOpticalFlow>>
§Note
This alternative version of CUDA_BroxOpticalFlow::create function uses the following default values for its arguments:
- alpha: 0.197
- gamma: 50.0
- scale_factor: 0.8
- inner_iterations: 5
- outer_iterations: 150
- solver_iterations: 10
Trait Implementations§
Source§impl AlgorithmTraitConst for CUDA_BroxOpticalFlow
impl AlgorithmTraitConst for CUDA_BroxOpticalFlow
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_BroxOpticalFlow
impl Boxed for CUDA_BroxOpticalFlow
Source§unsafe fn from_raw(
ptr: <CUDA_BroxOpticalFlow as OpenCVFromExtern>::ExternReceive,
) -> Self
unsafe fn from_raw( ptr: <CUDA_BroxOpticalFlow as OpenCVFromExtern>::ExternReceive, ) -> Self
Wrap the specified raw pointer Read more
Source§fn into_raw(
self,
) -> <CUDA_BroxOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw( self, ) -> <CUDA_BroxOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
Source§fn as_raw(
&self,
) -> <CUDA_BroxOpticalFlow as OpenCVTypeExternContainer>::ExternSend
fn as_raw( &self, ) -> <CUDA_BroxOpticalFlow as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
Source§fn as_raw_mut(
&mut self,
) -> <CUDA_BroxOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self, ) -> <CUDA_BroxOpticalFlow as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
Source§impl CUDA_BroxOpticalFlowTrait for CUDA_BroxOpticalFlow
impl CUDA_BroxOpticalFlowTrait for CUDA_BroxOpticalFlow
fn as_raw_mut_CUDA_BroxOpticalFlow(&mut self) -> *mut c_void
fn set_flow_smoothness(&mut self, alpha: f64) -> Result<()>
fn set_gradient_constancy_importance(&mut self, gamma: f64) -> Result<()>
fn set_pyramid_scale_factor(&mut self, scale_factor: f64) -> Result<()>
fn set_inner_iterations(&mut self, inner_iterations: i32) -> Result<()>
fn set_outer_iterations(&mut self, outer_iterations: i32) -> Result<()>
fn set_solver_iterations(&mut self, solver_iterations: i32) -> Result<()>
Source§impl CUDA_BroxOpticalFlowTraitConst for CUDA_BroxOpticalFlow
impl CUDA_BroxOpticalFlowTraitConst for CUDA_BroxOpticalFlow
fn as_raw_CUDA_BroxOpticalFlow(&self) -> *const c_void
fn get_flow_smoothness(&self) -> Result<f64>
fn get_gradient_constancy_importance(&self) -> Result<f64>
fn get_pyramid_scale_factor(&self) -> Result<f64>
Source§fn get_inner_iterations(&self) -> Result<i32>
fn get_inner_iterations(&self) -> Result<i32>
number of lagged non-linearity iterations (inner loop)
Source§fn get_outer_iterations(&self) -> Result<i32>
fn get_outer_iterations(&self) -> Result<i32>
number of warping iterations (number of pyramid levels)
Source§fn get_solver_iterations(&self) -> Result<i32>
fn get_solver_iterations(&self) -> Result<i32>
number of linear system solver iterations
Source§impl CUDA_DenseOpticalFlowTrait for CUDA_BroxOpticalFlow
impl CUDA_DenseOpticalFlowTrait for CUDA_BroxOpticalFlow
fn as_raw_mut_CUDA_DenseOpticalFlow(&mut self) -> *mut c_void
Source§fn calc(
&mut self,
i0: &impl ToInputArray,
i1: &impl ToInputArray,
flow: &mut impl ToInputOutputArray,
stream: &mut impl StreamTrait,
) -> Result<()>
fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>
Calculates a dense optical flow. Read more
Source§fn calc_def(
&mut self,
i0: &impl ToInputArray,
i1: &impl ToInputArray,
flow: &mut impl ToInputOutputArray,
) -> Result<()>
fn calc_def( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>
Calculates a dense optical flow. Read more
Source§impl CUDA_DenseOpticalFlowTraitConst for CUDA_BroxOpticalFlow
impl CUDA_DenseOpticalFlowTraitConst for CUDA_BroxOpticalFlow
fn as_raw_CUDA_DenseOpticalFlow(&self) -> *const c_void
Source§impl Debug for CUDA_BroxOpticalFlow
impl Debug for CUDA_BroxOpticalFlow
Source§impl Drop for CUDA_BroxOpticalFlow
impl Drop for CUDA_BroxOpticalFlow
Source§impl From<CUDA_BroxOpticalFlow> for Algorithm
impl From<CUDA_BroxOpticalFlow> for Algorithm
Source§fn from(s: CUDA_BroxOpticalFlow) -> Self
fn from(s: CUDA_BroxOpticalFlow) -> Self
Converts to this type from the input type.
Source§impl From<CUDA_BroxOpticalFlow> for CUDA_DenseOpticalFlow
impl From<CUDA_BroxOpticalFlow> for CUDA_DenseOpticalFlow
Source§fn from(s: CUDA_BroxOpticalFlow) -> Self
fn from(s: CUDA_BroxOpticalFlow) -> Self
Converts to this type from the input type.
impl Send for CUDA_BroxOpticalFlow
Auto Trait Implementations§
impl Freeze for CUDA_BroxOpticalFlow
impl RefUnwindSafe for CUDA_BroxOpticalFlow
impl !Sync for CUDA_BroxOpticalFlow
impl Unpin for CUDA_BroxOpticalFlow
impl UnwindSafe for CUDA_BroxOpticalFlow
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