robokudo.annotators.object_knowledge_visualizer
===============================================

.. py:module:: robokudo.annotators.object_knowledge_visualizer


Classes
-------

.. autoapisummary::

   robokudo.annotators.object_knowledge_visualizer.ObjectKnowledgeVisualizer


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

.. py:class:: ObjectKnowledgeVisualizer(name='ObjectKnowledgeVisualizer', descriptor=Descriptor())

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


   This annotator shows the reference frame of an object and its components/features.


   .. py:class:: Descriptor

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


      .. py:class:: Parameters

         .. py:attribute:: object_knowledge_base_ros_package
            :value: 'robokudo'



         .. py:attribute:: object_knowledge_base_name
            :value: 'object_knowledge_iai_kitchen'




      .. py:attribute:: parameters



   .. py:attribute:: object_kb


   .. py:method:: fill_parthood_hypothesis(ph: robokudo.types.scene.ParthoodHypothesis, object_knowledge: robokudo.descriptors.object_knowledge.object_knowledge_iai_kitchen.ObjectKnowledge, transform: numpy.typing.NDArray) -> bool

      Insert into a given ParthoodHypothesis the information that can be extracted from the object knowledge

      :param ph: A ParthoodHypothesis or one of its childs.
      :param object_knowledge:
      :param transform: Transform between cam and parent object
      :return: bool: True if parthood hypothesis could be generated, False otherwise



   .. py:method:: generate_parthood_hypotheses(object_knowledge: robokudo.descriptors.object_knowledge.object_knowledge_iai_kitchen.ObjectKnowledge, transform: numpy.typing.NDArray)


   .. py:method:: update()