dacapo.experiments.tasks.inner_distance_task_config
Classes
This is a Distance task config used for generating and |
Module Contents
- class dacapo.experiments.tasks.inner_distance_task_config.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.
- channels
A list of channel names.
- clip_distance
Maximum distance to consider for false positive/negatives.
- tol_distance
Tolerance distance for counting false positives/negatives
- scale_factor
The amount by which to scale distances before applying a tanh normalization.
Notes
This is a subclass of TaskConfig.
- task_type
- channels: List[str]
- clip_distance: float
- tol_distance: float
- scale_factor: float