Struct opencv::ximgproc::EdgeAwareInterpolator
source · pub struct EdgeAwareInterpolator { /* private fields */ }
Expand description
Sparse match interpolation algorithm based on modified locally-weighted affine estimator from Revaud2015 and Fast Global Smoother as post-processing filter.
Trait Implementations§
source§impl AlgorithmTraitConst for EdgeAwareInterpolator
impl AlgorithmTraitConst for EdgeAwareInterpolator
fn as_raw_Algorithm(&self) -> *const c_void
source§fn write(&self, fs: &mut FileStorage) -> Result<()>
fn write(&self, fs: &mut FileStorage) -> Result<()>
Stores algorithm parameters in a file storage
source§fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
fn write_1(&self, fs: &mut FileStorage, 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 EdgeAwareInterpolator
impl Boxed for EdgeAwareInterpolator
source§impl Debug for EdgeAwareInterpolator
impl Debug for EdgeAwareInterpolator
source§impl Drop for EdgeAwareInterpolator
impl Drop for EdgeAwareInterpolator
source§impl EdgeAwareInterpolatorTrait for EdgeAwareInterpolator
impl EdgeAwareInterpolatorTrait for EdgeAwareInterpolator
fn as_raw_mut_EdgeAwareInterpolator(&mut self) -> *mut c_void
source§fn set_cost_map(&mut self, _cost_map: &Mat) -> Result<()>
fn set_cost_map(&mut self, _cost_map: &Mat) -> Result<()>
Interface to provide a more elaborated cost map, i.e. edge map, for the edge-aware term.
This implementation is based on a rather simple gradient-based edge map estimation.
To used more complex edge map estimator (e.g. StructuredEdgeDetection that has been
used in the original publication) that may lead to improved accuracies, the internal
edge map estimation can be bypassed here. Read more
source§fn set_k(&mut self, _k: i32) -> Result<()>
fn set_k(&mut self, _k: i32) -> Result<()>
Parameter to tune the approximate size of the superpixel used for oversegmentation. Read more
source§fn set_sigma(&mut self, _sigma: f32) -> Result<()>
fn set_sigma(&mut self, _sigma: f32) -> Result<()>
Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine
fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the
output flow.
source§fn set_lambda(&mut self, _lambda: f32) -> Result<()>
fn set_lambda(&mut self, _lambda: f32) -> Result<()>
Lambda is a parameter defining the weight of the edge-aware term in geodesic distance,
should be in the range of 0 to 1000.
source§fn set_use_post_processing(&mut self, _use_post_proc: bool) -> Result<()>
fn set_use_post_processing(&mut self, _use_post_proc: bool) -> Result<()>
Sets whether the fastGlobalSmootherFilter() post-processing is employed. It is turned on by
default.
source§impl EdgeAwareInterpolatorTraitConst for EdgeAwareInterpolator
impl EdgeAwareInterpolatorTraitConst for EdgeAwareInterpolator
fn as_raw_EdgeAwareInterpolator(&self) -> *const c_void
source§impl From<EdgeAwareInterpolator> for Algorithm
impl From<EdgeAwareInterpolator> for Algorithm
source§fn from(s: EdgeAwareInterpolator) -> Self
fn from(s: EdgeAwareInterpolator) -> Self
Converts to this type from the input type.
source§impl From<EdgeAwareInterpolator> for SparseMatchInterpolator
impl From<EdgeAwareInterpolator> for SparseMatchInterpolator
source§fn from(s: EdgeAwareInterpolator) -> Self
fn from(s: EdgeAwareInterpolator) -> Self
Converts to this type from the input type.
source§impl SparseMatchInterpolatorTrait for EdgeAwareInterpolator
impl SparseMatchInterpolatorTrait for EdgeAwareInterpolator
fn as_raw_mut_SparseMatchInterpolator(&mut self) -> *mut c_void
source§fn interpolate(
&mut self,
from_image: &impl ToInputArray,
from_points: &impl ToInputArray,
to_image: &impl ToInputArray,
to_points: &impl ToInputArray,
dense_flow: &mut impl ToOutputArray
) -> Result<()>
fn interpolate( &mut self, from_image: &impl ToInputArray, from_points: &impl ToInputArray, to_image: &impl ToInputArray, to_points: &impl ToInputArray, dense_flow: &mut impl ToOutputArray ) -> Result<()>
Interpolate input sparse matches. Read more
source§impl SparseMatchInterpolatorTraitConst for EdgeAwareInterpolator
impl SparseMatchInterpolatorTraitConst for EdgeAwareInterpolator
fn as_raw_SparseMatchInterpolator(&self) -> *const c_void
impl Send for EdgeAwareInterpolator
Auto Trait Implementations§
impl RefUnwindSafe for EdgeAwareInterpolator
impl !Sync for EdgeAwareInterpolator
impl Unpin for EdgeAwareInterpolator
impl UnwindSafe for EdgeAwareInterpolator
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