dacapo.experiments.tasks.inner_distance_task_config
===================================================

.. py:module:: dacapo.experiments.tasks.inner_distance_task_config


Classes
-------

.. autoapisummary::

   dacapo.experiments.tasks.inner_distance_task_config.InnerDistanceTaskConfig


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

.. py:class:: InnerDistanceTaskConfig



   This is a Distance task config used for generating and
   evaluating signed distance transforms as a way of generating
   segmentations.

   The advantage of generating distance transforms over regular
   affinities is you can get a denser signal, i.e. 1 misclassified
   pixel in an affinity prediction could merge 2 otherwise very
   distinct objects, this cannot happen with distances.

   .. attribute:: channels

      A list of channel names.

   .. attribute:: clip_distance

      Maximum distance to consider for false positive/negatives.

   .. attribute:: tol_distance

      Tolerance distance for counting false positives/negatives

   .. attribute:: scale_factor

      The amount by which to scale distances before applying a tanh normalization.

   .. rubric:: Notes

   This is a subclass of TaskConfig.


   .. py:attribute:: task_type


   .. py:attribute:: channels
      :type:  List[str]


   .. py:attribute:: clip_distance
      :type:  float


   .. py:attribute:: tol_distance
      :type:  float


   .. py:attribute:: scale_factor
      :type:  float