:py:mod:`cars.applications.hole_detection.cloud_to_bbox`
========================================================

.. py:module:: cars.applications.hole_detection.cloud_to_bbox

.. autoapi-nested-parse::

   CARS holes detection module init file



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

Classes
~~~~~~~

.. autoapisummary::

   cars.applications.hole_detection.cloud_to_bbox.CloudToBbox



Functions
~~~~~~~~~

.. autoapisummary::

   cars.applications.hole_detection.cloud_to_bbox.compute_mask_bboxes_wrapper



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


   Bases: :py:obj:`cars.applications.hole_detection.hole_detection.HoleDetection`

   CloudToBbox

   .. py:method:: check_conf(conf)

      Check configuration

      :param conf: configuration to check
      :type conf: dict

      :return: overloaded configuration
      :rtype: dict



   .. py:method:: run(epipolar_images_left, epipolar_images_right, classification=None, margin=0, orchestrator=None, pair_folder=None, pair_key='PAIR_0')

      Run Refill application using plane method.

      :param epipolar_images_left:  left epipolar image
      :type epipolar_images_left: CarsDataset
      :param epipolar_images_right:  right epipolar image
      :type epipolar_images_right: CarsDataset
      :param is_activated:  activate application
      :type is_activated: bool
      :param margin: margin to use
      :type margin: int
      :param classification: mask classes to use
      :type classification: list(str)
      :param orchestrator: orchestrator used
      :type orchestrator: Orchestrator
      :param pair_folder: folder used for current pair
      :type pair_folder: str
      :param pair_key: pair id
      :type pair_key: str

      :return: left holes, right holes
      :rtype: Tuple(CarsDataset, CarsDataset)




.. py:function:: compute_mask_bboxes_wrapper(left_image_dataset, right_image_dataset, window_left, window_right, overlap_left, overlap_right, classification, margin=20, saving_info_left=None, saving_info_right=None)

   Compute mask bounding boxes.

   :param left_image_dataset: tiled Left image
     - dataset with :

           - cst.EPI_IMAGE
           - cst.EPI_MSK (if given)
           - cst.EPI_COLOR (for left, if given)
   :type left_image_dataset: xr.Dataset
     - dataset with :

           - cst.EPI_IMAGE
           - cst.EPI_MSK (if given)
           - cst.EPI_COLOR (for left, if given)
   :param right_image_dataset: tiled Right image
   :type right_image_dataset: xr.Dataset
   :param window_left: left window
   :type window_left: dict
   :param window_right: right window
   :type window_right: dict
   :param overlap_left: left  overlpas
   :type overlap_left: dict
   :param overlap_right: right overlaps
   :type overlap_right: dict
   :param classification: mask classes to use
   :type classification: list(str)
   :param margin: margin to use
   :type margin: int
   :param saving_info_left: saving infos left
   :type saving_info_left: dict
   :param saving_info_right: saving infos right
   :type saving_info_right: dict

   :return: Left image object, Right image object (if exists)

   Returned objects are composed of dataset with :

           - cst.EPI_IMAGE
           - cst.EPI_MSK (if given)
           - cst.EPI_COLOR (for left, if given)