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