dacapo.experiments.datasplits.datasets.dataset
Classes
A class to represent a dataset. |
Module Contents
- class dacapo.experiments.datasplits.datasets.dataset.Dataset
A class to represent a dataset.
- name
The name of the dataset.
- Type:
str
- raw
The raw dataset.
- Type:
Array
- gt
The ground truth data.
- Type:
Array, optional
- mask
The mask for the data.
- Type:
Array, optional
- weight
The weight of the dataset.
- Type:
int, optional
- sample_points
The list of sample points in the dataset.
- Type:
list[Coordinate], optional
- __eq__(other)
Overloaded equality operator for dataset objects.
- __hash__()
Calculates a hash for the dataset.
- __repr__()
Returns the official string representation of the dataset object.
- __str__()
Returns the string representation of the dataset object.
- _neuroglancer_layers(prefix='', exclude_layers=None)
Generates neuroglancer layers for raw, gt and mask if they can be viewed by neuroglance, excluding those in the exclude_layers.
Notes
This class is a base class and should not be instantiated.
- name: str
- raw: funlib.persistence.Array