Trait opencv::hub_prelude::LMSolver_CallbackConst

pub trait LMSolver_CallbackConst {
    fn as_raw_LMSolver_Callback(&self) -> *const c_void;

    fn compute(
        &self, 
        param: &dyn ToInputArray, 
        err: &mut dyn ToOutputArray, 
        j: &mut dyn ToOutputArray
    ) -> Result<bool> { ... }
}

Required methods

fn as_raw_LMSolver_Callback(&self) -> *const c_void

Provided methods

fn compute(
    &self,
    param: &dyn ToInputArray,
    err: &mut dyn ToOutputArray,
    j: &mut dyn ToOutputArray
) -> Result<bool>

computes error and Jacobian for the specified vector of parameters

Parameters

• param: the current vector of parameters
• err: output vector of errors: err_i = actual_f_i - ideal_f_i
• J: output Jacobian: J_ij = d(err_i)/d(param_j)

when J=noArray(), it means that it does not need to be computed. Dimensionality of error vector and param vector can be different. The callback should explicitly allocate (with “create” method) each output array (unless it’s noArray()).

Implementors

impl LMSolver_CallbackConst for PtrOfLMSolver_Callback