robokudo.annotators.outlier_removal_objecthypothesis
====================================================

.. py:module:: robokudo.annotators.outlier_removal_objecthypothesis


Classes
-------

.. autoapisummary::

   robokudo.annotators.outlier_removal_objecthypothesis.OutlierRemovalOnObjectHypothesisAnnotator


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

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

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


   .. py:class:: Descriptor

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


      .. py:class:: Parameters

         .. py:attribute:: dbscan_neighbors
            :value: 90



         .. py:attribute:: dbscan_epsilon
            :value: 0.02



         .. py:attribute:: stat_neighbors
            :value: 200



         .. py:attribute:: stat_std
            :value: 0.5



         .. py:attribute:: skip_removal_on_classes
            :value: []




      .. py:attribute:: parameters



   .. py:method:: dyn_rec_callback(config, level)


   .. py:attribute:: ddynrec


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

      Called every time the behavior is ticked.



   .. py:method:: cluster_statistical_outlierremoval_pcd()

      Perform outlier removal and clustering on each object hypothesis.

      :return: True, if atleast one of the object hypotheses could be optimized. False otherwise.