dacapo.experiments.tasks.post_processors.watershed_post_processor
Module Contents
Classes
Base class of all post-processors. |
- class dacapo.experiments.tasks.post_processors.watershed_post_processor.WatershedPostProcessor(offsets: List[funlib.geometry.Coordinate])
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()
Enumerate all possible parameters of this post-processor. Should return instances of
PostProcessorParameters.
- set_prediction(prediction_array_identifier)
- process(parameters: dacapo.experiments.tasks.post_processors.watershed_post_processor_parameters.WatershedPostProcessorParameters, output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, num_workers: int = 16, block_size: funlib.geometry.Coordinate = Coordinate((256, 256, 256)))
Convert predictions into the final output.