cellmap_flow.utils.neuroglancer_utils

Attributes

logger

Functions

get_raw_closest_scale(dataset_path, target_resolution)	Return the raw multiscale scale (as a tuple of nm) closest to the
build_prediction_source(host, model, st_data, ...)	Build a source spec for the prediction zarr that overrides the
generate_neuroglancer_url(dataset_path[, wrap_raw])
show(viewer)

Module Contents

cellmap_flow.utils.neuroglancer_utils.logger

cellmap_flow.utils.neuroglancer_utils.get_raw_closest_scale(dataset_path, target_resolution)

Return the raw multiscale scale (as a tuple of nm) closest to the model’s target resolution, or None if it can’t be determined.

cellmap_flow.utils.neuroglancer_utils.build_prediction_source(host, model, st_data, override_scales)

Build a source spec for the prediction zarr that overrides the source dimensions’ scales so the layer overlays the raw at its native resolution (e.g. claim a 16nm model output is actually at 12nm).

The prediction zarr is 4D (z, y, x, c). We override the spatial scales and leave the channel dim as a unitless dimension.

cellmap_flow.utils.neuroglancer_utils.generate_neuroglancer_url(dataset_path, wrap_raw=True)

cellmap_flow.utils.neuroglancer_utils.show(viewer)