dacapo.experiments.datasplits.datasets.arrays.missing_annotations_mask_config

Classes

MissingAnnotationsMaskConfig

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

Module Contents

class dacapo.experiments.datasplits.datasets.arrays.missing_annotations_mask_config.MissingAnnotationsMaskConfig

This config class provides the necessary configuration for turning an Annotated dataset into a multi class binary classification problem

source_array_config

ArrayConfig The Array from which to pull annotated data. Is expected to contain a volume with uint64 voxels and no channel dimension

groupings

List[Tuple[str, List[int]]] List of id groups with a symantic name. Each id group is a List of ids. Group i found in groupings[i] will be binarized and placed in channel i.

Note

The output array will have a channel dimension equal to the number of groups. Each channel will be a binary mask of the ids in the groupings list.

array_type

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

groupings: List[Tuple[str, List[int]]]