Struct opencv::superres::SuperRes_SuperResolution

pub struct SuperRes_SuperResolution { /* private fields */ }

Base class for Super Resolution algorithms.

The class is only used to define the common interface for the whole family of Super Resolution algorithms.

Trait Implementations

impl AlgorithmTrait for SuperRes_SuperResolution

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 SuperRes_SuperResolution

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 SuperRes_SuperResolution

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 Debug for SuperRes_SuperResolution

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

Formats the value using the given formatter.

impl Drop for SuperRes_SuperResolution

fn drop(&mut self)

Executes the destructor for this type.

impl From<SuperRes_SuperResolution> for Algorithm

fn from(s: SuperRes_SuperResolution) -> Self

Converts to this type from the input type.

impl From<SuperRes_SuperResolution> for SuperRes_FrameSource

fn from(s: SuperRes_SuperResolution) -> Self

Converts to this type from the input type.

impl SuperRes_FrameSourceTrait for SuperRes_SuperResolution

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

fn next_frame(&mut self, frame: &mut impl ToOutputArray) -> Result<()>

fn reset(&mut self) -> Result<()>

impl SuperRes_FrameSourceTraitConst for SuperRes_SuperResolution

fn as_raw_SuperRes_FrameSource(&self) -> *const c_void

impl SuperRes_SuperResolutionTrait for SuperRes_SuperResolution

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

fn set_input(&mut self, frame_source: &Ptr<SuperRes_FrameSource>) -> Result<()>

Set input frame source for Super Resolution algorithm.

fn next_frame(&mut self, frame: &mut impl ToOutputArray) -> Result<()>

Process next frame from input and return output result.

fn reset(&mut self) -> Result<()>

fn collect_garbage(&mut self) -> Result<()>

Clear all inner buffers.

fn set_scale(&mut self, val: i32) -> Result<()>

Scale factor

fn set_iterations(&mut self, val: i32) -> Result<()>

Iterations count

fn set_tau(&mut self, val: f64) -> Result<()>

Asymptotic value of steepest descent method

fn set_lambda(&mut self, val: f64) -> Result<()>

Weight parameter to balance data term and smoothness term

fn set_alpha(&mut self, val: f64) -> Result<()>

Parameter of spacial distribution in Bilateral-TV

fn set_kernel_size(&mut self, val: i32) -> Result<()>

Kernel size of Bilateral-TV filter

fn set_blur_kernel_size(&mut self, val: i32) -> Result<()>

Gaussian blur kernel size

fn set_blur_sigma(&mut self, val: f64) -> Result<()>

Gaussian blur sigma

fn set_temporal_area_radius(&mut self, val: i32) -> Result<()>

Radius of the temporal search area

fn set_optical_flow( &mut self, val: &Ptr<SuperRes_DenseOpticalFlowExt> ) -> Result<()>

Dense optical flow algorithm

impl SuperRes_SuperResolutionTraitConst for SuperRes_SuperResolution

fn as_raw_SuperRes_SuperResolution(&self) -> *const c_void

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

Scale factor

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

Iterations count

fn get_tau(&self) -> Result<f64>

Asymptotic value of steepest descent method

fn get_lambda(&self) -> Result<f64>

Weight parameter to balance data term and smoothness term

fn get_alpha(&self) -> Result<f64>

Parameter of spacial distribution in Bilateral-TV

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

Kernel size of Bilateral-TV filter

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

Gaussian blur kernel size

fn get_blur_sigma(&self) -> Result<f64>

Gaussian blur sigma

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

Radius of the temporal search area

fn get_optical_flow(&self) -> Result<Ptr<SuperRes_DenseOpticalFlowExt>>

Dense optical flow algorithm

impl TryFrom<SuperRes_FrameSource> for SuperRes_SuperResolution

type Error = Error

The type returned in the event of a conversion error.

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

Performs the conversion.

impl Send for SuperRes_SuperResolution