pandora2d.matching_cost_cpp.matching_cost_bind

Functions

compute_cost_volumes_cpp_float(→ None)

Computes the cost values in float32

compute_cost_volumes_cpp_double(→ None)

Computes the cost values in float64

Module Contents

pandora2d.matching_cost_cpp.matching_cost_bind.compute_cost_volumes_cpp_float(left: numpy.typing.NDArray[numpy.float32], right: list[numpy.typing.NDArray[numpy.float32]], cv_values: numpy.typing.NDArray[numpy.floating], criteria_values: numpy.typing.NDArray[numpy.uint8], cv_size: pandora2d.common_cpp.common_bind.CostVolumeSize, disp_range_row: numpy.typing.NDArray[numpy.float64], disp_range_col: numpy.typing.NDArray[numpy.float64], offset_cv_img_row: int, offset_cv_img_col: int, window_size: int, step: numpy.typing.NDArray[numpy.integer], matching_cost_method: str) → None[source]

Computes the cost values in float32

Parameters:

  • left – left image

  • right – list of right images

  • cv_values – cost volumes initialized values

  • criteria_values – criteria values

  • cv_size – cost_volume size [nb_row, nb_col, nb_disp_row, nb_disp_col]

  • disp_range_row – cost volumes row disparity range

  • disp_range_col – cost volumes col disparity range

  • offset_cv_img_row – row offset between first index of cv and image (ROI case)

  • offset_cv_img_col – col offset between first index of cv and image (ROI case)

  • window_size – size of the correlation window

  • step – [step_row, step_col]

  • matching_cost_method – correlation method

pandora2d.matching_cost_cpp.matching_cost_bind.compute_cost_volumes_cpp_double(left: numpy.typing.NDArray[numpy.float32], right: list[numpy.typing.NDArray[numpy.float32]], cv_values: numpy.typing.NDArray[numpy.floating], criteria_values: numpy.typing.NDArray[numpy.uint8], cv_size: pandora2d.common_cpp.common_bind.CostVolumeSize, disp_range_row: numpy.typing.NDArray[numpy.float64], disp_range_col: numpy.typing.NDArray[numpy.float64], offset_cv_img_row: int, offset_cv_img_col: int, window_size: int, step: numpy.typing.NDArray[numpy.integer], matching_cost_method: str) → None[source]

Computes the cost values in float64

Parameters:

  • left – left image

  • right – list of right images

  • cv_values – cost volumes initialized values

  • criteria_values – criteria values

  • cv_size – cost_volume size [nb_row, nb_col, nb_disp_row, nb_disp_col]

  • disp_range_row – cost volumes row disparity range

  • disp_range_col – cost volumes col disparity range

  • offset_cv_img_row – row offset between first index of cv and image (ROI case)

  • offset_cv_img_col – col offset between first index of cv and image (ROI case)

  • window_size – size of the correlation window

  • step – [step_row, step_col]

  • matching_cost_method – correlation method