pandora2d.refinement_cpp.refinement_bind
========================================

.. py:module:: pandora2d.refinement_cpp.refinement_bind


Functions
---------

.. autoapisummary::

   pandora2d.refinement_cpp.refinement_bind.compute_dichotomy_float
   pandora2d.refinement_cpp.refinement_bind.compute_dichotomy_double


Module Contents
---------------

.. py:function:: compute_dichotomy_float(cost_volume: numpy.typing.NDArray[numpy.floating], disparity_map_col: numpy.typing.NDArray[numpy.floating], disparity_map_row: numpy.typing.NDArray[numpy.floating], score_map: numpy.typing.NDArray[numpy.floating], invalid_map: numpy.typing.NDArray[numpy.floating], criteria_map: numpy.typing.NDArray[numpy.floating], subpixel: int, nb_iterations: int, filter: pandora2d.interpolation_filter_cpp.interpolation_filter_bind.AbstractFilter, method_matching_cost: str) -> None

   Dichotomy calculation with float data

   :param cost_volume: cost volume data
   :param disparity_map_col: column disparity map data
   :param disparity_map_row: row disparity map data
   :param score_map: score map data
   :param invalid_map: invalid map data
   :param criteria_map: criteria map data
   :param subpixel: sub-sampling of cost_volume
   :param nb_iterations: number of iterations of the dichotomy
   :param filter: interpolation filter
   :param method_matching_cost: max or min


.. py:function:: compute_dichotomy_double(cost_volume: numpy.typing.NDArray[numpy.floating], disparity_map_col: numpy.typing.NDArray[numpy.floating], disparity_map_row: numpy.typing.NDArray[numpy.floating], score_map: numpy.typing.NDArray[numpy.floating], invalid_map: numpy.typing.NDArray[numpy.floating], criteria_map: numpy.typing.NDArray[numpy.floating], subpixel: int, nb_iterations: int, filter: pandora2d.interpolation_filter_cpp.interpolation_filter_bind.AbstractFilter, method_matching_cost: str) -> None

   Dichotomy calculation with double data

   :param cost_volume: cost volume data
   :param disparity_map_col: column disparity map data
   :param disparity_map_row: row disparity map data
   :param score_map: score map data
   :param invalid_map: invalid map data
   :param criteria_map: criteria map data
   :param subpixel: sub-sampling of cost_volume
   :param nb_iterations: number of iterations of the dichotomy
   :param filter: interpolation filter
   :param method_matching_cost: max or min