Python API for working with WEBKNOSSOS datasets, annotations, and for WEBKNOSSOS server interactions.

Use this for:

• reading/writing/manipulating raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS format (Zarr and WKW)
• handling/manipulation of WEBKNOSSOS datasets
• reading/writing/manipulating WEBKNOSSOS skeleton annotations (*.nml)
• up- & downloading annotations and datasets from your WEBKNOSSOS instance

Read more in the docs.

CLI tool for creating and manipulating WEBKNOSSOS datasets.

Use this for:

• converting Tiff-stacks and other data formats for volume image data to WEBKNOSSOS-compatible datasets from the CLI
• up/downsampling of datasets to different magnification levels (image pyramid) from the CLI
• compressing your datasets to save disk space from the CLI

Read more in the docs.

The cluster_tools package provides python Executor classes for distributing tasks on a slurm cluster or via multi processing.