pandora2d.refinement_cpp.refinement_bind

Functions

compute_dichotomy_float(→ None)	Dichotomy calculation with float data
compute_dichotomy_double(→ None)	Dichotomy calculation with double data

Module Contents

pandora2d.refinement_cpp.refinement_bind.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

Parameters:

• cost_volume – cost volume data

• disparity_map_col – column disparity map data

• disparity_map_row – row disparity map data

• score_map – score map data

• invalid_map – invalid map data

• criteria_map – criteria map data

• subpixel – sub-sampling of cost_volume

• nb_iterations – number of iterations of the dichotomy

• filter – interpolation filter

• method_matching_cost – max or min

pandora2d.refinement_cpp.refinement_bind.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

Parameters:

• cost_volume – cost volume data

• disparity_map_col – column disparity map data

• disparity_map_row – row disparity map data

• score_map – score map data

• invalid_map – invalid map data

• criteria_map – criteria map data

• subpixel – sub-sampling of cost_volume

• nb_iterations – number of iterations of the dichotomy

• filter – interpolation filter

• method_matching_cost – max or min