dacapo.experiments.tasks.post_processors.post_processor

Module Contents

Classes

PostProcessor

Base class of all post-processors.

class dacapo.experiments.tasks.post_processors.post_processor.PostProcessor

Base class of all post-processors.

A post-processor takes a model’s prediction and converts it into the final output (e.g., per-voxel class probabilities into a semantic segmentation).

abstract enumerate_parameters() → Iterable[dacapo.experiments.tasks.post_processors.post_processor_parameters.PostProcessorParameters]

Enumerate all possible parameters of this post-processor.

abstract set_prediction(prediction_array_identifier: dacapo.store.local_array_store.LocalArrayIdentifier) → None

abstract process(parameters: dacapo.experiments.tasks.post_processors.post_processor_parameters.PostProcessorParameters, output_array_identifier: dacapo.store.local_array_store.LocalArrayIdentifier, num_workers: int = 16, chunk_size: funlib.geometry.Coordinate = Coordinate((64, 64, 64))) → dacapo.experiments.datasplits.datasets.arrays.Array

Convert predictions into the final output.