dacapo.experiments.datasplits.datasets.simple
Classes
A class used to define configuration for datasets. This provides the |
Module Contents
- class dacapo.experiments.datasplits.datasets.simple.SimpleDataset
A class used to define configuration for datasets. This provides the framework to create a Dataset instance.
- name
str (eg: “sample_dataset”). A unique identifier to name the dataset. It aids in easy identification and reusability of this dataset. Advised to keep it short and refrain from using special characters.
- weight
int (default=1). A numeric value that indicates how frequently this dataset should be sampled in comparison to others. Higher the weight, more frequently it gets sampled.
- verify()
Checks and validates the dataset configuration. The specific rules for validation need to be defined by the user.
Notes
This class is used to create a configuration object for datasets.
- path: pathlib.Path
- weight: int
- raw_name: str
- gt_name: str
- mask_name: str
- static dataset_type(dataset_config)
- property raw: funlib.persistence.Array
- property gt: funlib.persistence.Array