dacapo.utils.view

Module Contents

Classes

BestScore
NeuroglancerRunViewer

Functions

get_viewer(→ neuroglancer.Viewer | IPython.display.IFrame)
add_seg_layer(state, name, data, voxel_size[, meshes])
add_scalar_layer(state, name, data, voxel_size)

dacapo.utils.view.get_viewer(arrays: dict, width: int = 1500, height: int = 600, headless: bool = True) → neuroglancer.Viewer | IPython.display.IFrame

dacapo.utils.view.add_seg_layer(state, name, data, voxel_size, meshes=False)

dacapo.utils.view.add_scalar_layer(state, name, data, voxel_size)

class dacapo.utils.view.BestScore(run: dacapo.experiments.run.Run)

get_ds(iteration, validation_dataset)

does_new_best_exist()

class dacapo.utils.view.NeuroglancerRunViewer(run: dacapo.experiments.run.Run, embedded=False)

updated_neuroglancer_layer(layer_name, ds)

deprecated_start_neuroglancer()

start_neuroglancer()

start()

open_from_array_identitifier(array_identifier)

get_datasets()

update_best_info()

update_neuroglancer()

update_best_layer()

new_validation_checker()

update_with_new_validation_if_possible()

stop()