dacapo.experiments.tasks.post_processors.dummy_post_processor

Module Contents

Classes

DummyPostProcessor

Base class of all post-processors.

class dacapo.experiments.tasks.post_processors.dummy_post_processor.DummyPostProcessor(detection_threshold: float)

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).

enumerate_parameters() → Iterable[dacapo.experiments.tasks.post_processors.dummy_post_processor_parameters.DummyPostProcessorParameters]

Enumerate all possible parameters of this post-processor. Should return instances of PostProcessorParameters.

set_prediction(prediction_array_identifier)

process(parameters, output_array_identifier, *args, **kwargs)

Convert predictions into the final output.