cellmap_flow.models.configs.dacapo

DaCapoModelConfig: a DaCapo run’s model, with one iteration’s weights.

The shapes come from the model, the voxel size from the run’s first training dataset, and the channel names from its task.

Classes

DaCapoModelConfig

Module Contents

class cellmap_flow.models.configs.dacapo.DaCapoModelConfig(run_name: str, iteration: int, name=None, scale=None)

cli_name = 'dacapo'

finetunable = True

run_name

iteration

name = None

scale = None

to_dict(): This config as a model entry, which registry.build_model rebuilds.