robokudo.annotators.size_bb
===========================

.. py:module:: robokudo.annotators.size_bb


Classes
-------

.. autoapisummary::

   robokudo.annotators.size_bb.SizeBBAnnotator


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

.. py:class:: SizeBBAnnotator(name='SizeBBAnnotator')

   Bases: :py:obj:`robokudo.annotators.core.BaseAnnotator`


   A class to analyze 3D point clouds and compute oriented bounding box sizes.

   This annotator processes object hypotheses by computing their oriented 3D bounding boxes
   and storing size information as annotations. It performs coordinate transformations and
   uses minimum area rectangles to determine object dimensions.

   :param name: Name of the annotator instance
   :type name: str


   .. py:method:: update() -> py_trees.common.Status

      Process object hypotheses to compute and annotate their 3D bounding box sizes.

      For each object hypothesis with sufficient points:

      * Transforms point cloud to world coordinates
      * Projects points to 2D and finds minimum area rectangle
      * Computes 3D oriented bounding box
      * Annotates size information
      * Updates visualization

      :return: SUCCESS if processing completed, FAILURE if camera viewpoint not found
      :rtype: py_trees.Status
      :raises Exception: If camera viewpoint transform cannot be found in CAS