giant.calibration.estimators.geometric.iterative_nonlinear_lstsq

Classes

IterativeNonlinearLstSqOptions	IterativeNonlinearLstSqOptions(weighted_estimation: bool = False, a_priori_model_covariance: Optional[numpy.ndarray[tuple[Any, ...], numpy.dtype[numpy.float64]]] = None, max_iter: int = 20, residual_atol: float = 1e-10, residual_rtol: float = 1e-10, state_atol: float = 1e-10, state_rtol: float = 1e-10)
IterativeNonlinearLSTSQ	This concrete estimator implements iterative non-linear least squares for estimating an updated camera model.