:py:mod:`cars.applications.dense_match_filling.zero_padding`
============================================================

.. py:module:: cars.applications.dense_match_filling.zero_padding

.. autoapi-nested-parse::

   this module contains the fill_disp application class.



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

Classes
~~~~~~~

.. autoapisummary::

   cars.applications.dense_match_filling.zero_padding.ZerosPadding



Functions
~~~~~~~~~

.. autoapisummary::

   cars.applications.dense_match_filling.zero_padding.fill_disparity_zeros_wrapper



.. py:class:: ZerosPadding(conf=None)


   Bases: :py:obj:`cars.applications.dense_match_filling.dense_match_filling.DenseMatchFilling`

   Fill invalid area in disparity map with zeros values

   .. py:method:: check_conf(conf)

      Check configuration

      :param conf: configuration to check
      :type conf: dict
      :return: overloaded configuration
      :rtype: dict



   .. py:method:: get_poly_margin()

      Get the margin used for polygon

      :return: self.nb_pix
      :rtype: int


   .. py:method:: run(epipolar_disparity_map, orchestrator=None, pair_folder=None, pair_key='PAIR_0')

      Run Refill application using zero_padding method.

      :param epipolar_disparity_map:  left to right disparity
      :type epipolar_disparity_map: CarsDataset
      :param orchestrator: orchestrator used
      :param pair_folder: folder used for current pair
      :type pair_folder: str
      :param pair_key: pair id
      :type pair_key: str

      :return: filled disparity map:             The CarsDataset contains:

          - N x M Delayed tiles.              Each tile will be a future xarray Dataset containing:
              - data with keys : "disp", "disp_msk"
              - attrs with keys: profile, window, overlaps
          - attributes containing:
              "largest_epipolar_region","opt_epipolar_tile_size",
                  "epipolar_regions_grid"

      :rtype: CarsDataset




.. py:function:: fill_disparity_zeros_wrapper(disp, window, overlap, classif_index, saving_info=None)

   Wrapper to copy previous disparity

   :param disp: left to right disparity map
   :type disp: xr.Dataset
   :param window: window of base tile [row min, row max, col min col max]
   :type window: list
   :param overlap: overlap [row min, row max, col min col max]
   :type overlap: list
   :param class_index: class index according to the classification tag
   :type class_index: list
   :param saving_info: saving infos
   :type saving_info: dict

   :return: disp map
   :rtype: xr.Dataset, xr.Dataset