Struct opencv::calib3d::LMSolver

pub struct LMSolver { /* private fields */ }

Levenberg-Marquardt solver. Starting with the specified vector of parameters it optimizes the target vector criteria “err” (finds local minima of each target vector component absolute value).

When needed, it calls user-provided callback.

Implementations

impl LMSolver

pub fn create( cb: &Ptr<LMSolver_Callback>, max_iters: i32 ) -> Result<Ptr<LMSolver>>

Creates Levenberg-Marquard solver

Parameters

• cb: callback
• maxIters: maximum number of iterations that can be further modified using setMaxIters() method.

pub fn create_ext( cb: &Ptr<LMSolver_Callback>, max_iters: i32, eps: f64 ) -> Result<Ptr<LMSolver>>

Trait Implementations

impl AlgorithmTrait for LMSolver

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 LMSolver

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 LMSolver

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 LMSolver

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

Formats the value using the given formatter.

impl Drop for LMSolver

fn drop(&mut self)

Executes the destructor for this type.

impl From<LMSolver> for Algorithm

fn from(s: LMSolver) -> Self

Converts to this type from the input type.

impl LMSolverTrait for LMSolver

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

fn set_max_iters(&mut self, max_iters: i32) -> Result<()>

Sets the maximum number of iterations

impl LMSolverTraitConst for LMSolver

fn as_raw_LMSolver(&self) -> *const c_void

fn run(&self, param: &mut impl ToInputOutputArray) -> Result<i32>

Runs Levenberg-Marquardt algorithm using the passed vector of parameters as the start point. The final vector of parameters (whether the algorithm converged or not) is stored at the same vector. The method returns the number of iterations used. If it’s equal to the previously specified maxIters, there is a big chance the algorithm did not converge.

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

Retrieves the current maximum number of iterations

impl Send for LMSolver