dacapo.experiments.trainers.gp_augments.gamma_config
====================================================

.. py:module:: dacapo.experiments.trainers.gp_augments.gamma_config


Classes
-------

.. autoapisummary::

   dacapo.experiments.trainers.gp_augments.gamma_config.GammaAugmentConfig


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

.. py:class:: GammaAugmentConfig



   This class manages the configuration of gamma augmentation for a given dataset.

   .. attribute:: gamma_range

      A tuple of float values represents the min and max range of gamma noise

   .. attribute:: to apply on the raw data.

      

   .. method:: node()

      Constructs a node in the augmentation pipeline.
      


   .. py:attribute:: gamma_range
      :type:  Tuple[float, float]


   .. py:method:: node(raw_key: gunpowder.ArrayKey, _gt_key=None, _mask_key=None)

      Constructs a node in the augmentation pipeline.

      :param raw_key: Key to an Array (volume) in the pipeline
      :type raw_key: gp.ArrayKey
      :param _gt_key: Ground Truth key, not used in this function. Defaults to None.
      :type _gt_key: gp.ArrayKey, optional
      :param _mask_key: Mask Key, not used in this function. Defaults to None.
      :type _mask_key: gp.ArrayKey, optional

      :returns: The augmentation method to be applied on the source data.
      :rtype: GammaAugment instance

      :raises NotImplementedError: This method is not implemented.

      .. rubric:: Examples

      >>> node = gamma_augment_config.node(raw_key)