dacapo.experiments.datasplits.datasets.arrays.intensity_array_config

Classes

IntensitiesArrayConfig

This config class provides the necessary configuration for turning an Annotated dataset into a

Module Contents

class dacapo.experiments.datasplits.datasets.arrays.intensity_array_config.IntensitiesArrayConfig

This config class provides the necessary configuration for turning an Annotated dataset into a multi class binary classification problem. It takes a source array and normalizes the intensities between 0 and 1. The source array is expected to contain a volume with uint64 voxels and no channel dimension.

source_array_config

The Array from which to pull annotated data

Type:

ArrayConfig

min

The minimum intensity in your data

Type:

float

max

The maximum intensity in your data

Type:

float

to_array()

Returns the IntensitiesArray object

Notes

The source_array_config must be an ArrayConfig object.

array_type

source_array_config: dacapo.experiments.datasplits.datasets.arrays.array_config.ArrayConfig

min: float

max: float