dacapo.experiments.trainers.gp_augments.gamma_config
Module Contents
Classes
This class manages the configuration of gamma augmentation for a given dataset. |
- class dacapo.experiments.trainers.gp_augments.gamma_config.GammaAugmentConfig
This class manages the configuration of gamma augmentation for a given dataset.
- gamma_range
A tuple of float values represents the min and max range of gamma noise
- to apply on the raw data.
- node()
Constructs a node in the augmentation pipeline.
- gamma_range: Tuple[float, float]
- node(raw_key: gunpowder.ArrayKey, _gt_key=None, _mask_key=None)
Constructs a node in the augmentation pipeline.
- Parameters:
raw_key (gp.ArrayKey) – Key to an Array (volume) in the pipeline
_gt_key (gp.ArrayKey, optional) – Ground Truth key, not used in this function. Defaults to None.
_mask_key (gp.ArrayKey, optional) – Mask Key, not used in this function. Defaults to None.
- Returns:
The augmentation method to be applied on the source data.
- Return type:
GammaAugment instance