dacapo.experiments.datasplits.datasets.raw_gt_dataset_config

Classes

RawGTDatasetConfig

This is a configuration class for the standard dataset with both raw and GT Array.

Module Contents

class dacapo.experiments.datasplits.datasets.raw_gt_dataset_config.RawGTDatasetConfig

This is a configuration class for the standard dataset with both raw and GT Array.

The configuration includes array configurations for raw data, ground truth data and mask data. The configuration for ground truth (GT) data is mandatory, whereas configurations for raw and mask data are optional. It also includes an optional list of points around which training samples will be extracted.

dataset_type

The type of dataset that is being configured.

Type:

class

raw_config

Configuration for the raw data associated with this dataset.

Type:

Optional[ArrayConfig]

gt_config

Configuration for the ground truth data associated with this dataset.

Type:

Optional[ArrayConfig]

mask_config

An optional mask configuration that sets the loss equal to zero on voxels where the mask is 1.

Type:

Optional[ArrayConfig]

sample_points

An optional list of points around which training samples will be extracted.

Type:

Optional[List[Coordinate]]

verify()

A method to verify the validity of the configuration.

Notes

This class is used to create a configuration object for the standard dataset with both raw and GT Array.

dataset_type
raw_config: dacapo.experiments.datasplits.datasets.arrays.ArrayConfig | None
gt_config: dacapo.experiments.datasplits.datasets.arrays.ArrayConfig | None
mask_config: dacapo.experiments.datasplits.datasets.arrays.ArrayConfig | None
sample_points: List[funlib.geometry.Coordinate] | None