dacapo.experiments.datasplits.datasets.arrays.missing_annotations_mask
Module Contents
Classes
This is wrapper around a ZarrArray containing uint annotations. |
- class dacapo.experiments.datasplits.datasets.arrays.missing_annotations_mask.MissingAnnotationsMask(array_config)
This is wrapper around a ZarrArray containing uint annotations. Complementary to the BinarizeArray class where we convert labels into individual channels for training, we may find crops where a specific label is present, but not annotated. In that case you might want to avoid training specific channels for specific training volumes. See package fibsem_tools for appropriate metadata format for indicating presence of labels in your ground truth. “https://github.com/janelia-cosem/fibsem-tools”
- property axes
Returns the axes of this dataset as a string of charactes, as they are indexed. Permitted characters are:
zyxfor spatial dimensionscfor channelssfor samples
- property dims: int
Returns the number of spatial dimensions.
- property voxel_size: funlib.geometry.Coordinate
The size of a voxel in physical units.
- property roi: funlib.geometry.Roi
The total ROI of this array, in world units.
- property writable: bool
Can we write to this Array?
- property dtype
The dtype of this array, in numpy dtypes
- property num_channels: int
The number of channels provided by this dataset. Should return None if the channel dimension doesn’t exist.
- property data
Get a numpy like readable and writable view into this array.
- property attrs
Return a dictionary of metadata attributes stored on this array.
- property channels