dacapo.experiments.tasks.post_processors.argmax_post_processor

Classes

ArgmaxPostProcessor

Post-processor that takes the argmax of the input array along the channel

Module Contents

class dacapo.experiments.tasks.post_processors.argmax_post_processor.ArgmaxPostProcessor

Post-processor that takes the argmax of the input array along the channel axis. The output is a binary array where the value is 1 if the argmax is greater than the threshold, and 0 otherwise.

prediction_array

The array containing the model’s prediction.

enumerate_parameters()

Enumerate all possible parameters of this post-processor.

set_prediction()

Set the prediction array identifier.

process()

Convert predictions into the final output.

Note

This class is abstract. Subclasses must implement the abstract methods. Once created, the values of its attributes cannot be changed.

enumerate_parameters()

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

Returns:

An iterable of PostProcessorParameters instances.

Raises:

NotImplementedError – If the method is not implemented in the subclass.

Examples

>>> post_processor = ArgmaxPostProcessor()
>>> for parameters in post_processor.enumerate_parameters():
...     print(parameters)
ArgmaxPostProcessorParameters(id=0)

Note

This method must be implemented in the subclass. It should return an iterable of PostProcessorParameters instances.

set_prediction(prediction_array_identifier)

Set the prediction array identifier.

Parameters:

prediction_array_identifier – The identifier of the array containing the model’s prediction.

Raises:

NotImplementedError – If the method is not implemented in the subclass.

Examples

>>> post_processor = ArgmaxPostProcessor()
>>> post_processor.set_prediction("prediction")

Note

This method must be implemented in the subclass. It should set the prediction_array_identifier attribute.

process(parameters, output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, num_workers: int = 16, block_size: daisy.Coordinate = Coordinate((256, 256, 256)))

Convert predictions into the final output.

Parameters:

• parameters – The parameters of the post-processor.

• output_array_identifier – The identifier of the output array.

• num_workers – The number of workers to use.

• block_size – The size of the blocks to process.

Returns:

The output array.

Raises:

NotImplementedError – If the method is not implemented in the subclass.

Examples

>>> post_processor = ArgmaxPostProcessor()
>>> post_processor.set_prediction("prediction")
>>> post_processor.process(parameters, "output")

Note

This method must be implemented in the subclass. It should process the predictions and return the output array.