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Currently Webknossos annotations are in the *.wkw format. We should create scripts to export and convert these annotations to either OME-Zarr or NIfTI-Zarr. We have decided to select the output format to match the base imaging layer(s) so that the orientation is preserved. We can use either the wkcuber or webknossos Python libraries.
Goals
Determine additional metadata in the Webknossos annotation files (e.g. annotator name, mapping of segmentation names)
Create a script to perform the following operations:
Determine the base imaging layer(s) format of the corresponding Webknossos dataset (i.e. OME-Zarr or NIfTI-Zarr)
Export Webknossos annotation as a OME-Zarr file
Export Webknossos annotation as a NIfTI-Zarr file
Add the above Webknossos metadata to the exported file
Thank you.
The text was updated successfully, but these errors were encountered:
Hi @kabilar, I noticed a zarr link option avaliable for annotations on webknossos, it generates a url link for selected layer( layer volume for annotations), the zarr file has a ome.zarr structure but follows a cxyz direction. I calculated the border distance for each slice at a low-resolution level and get corresponding offset at other resolution levels. And for metadata, we could just download the skeleton annotations as nml format and save essential information into metadata of mask.ome.zarr file.
Description
Currently Webknossos annotations are in the
*.wkw
format. We should create scripts to export and convert these annotations to either OME-Zarr or NIfTI-Zarr. We have decided to select the output format to match the base imaging layer(s) so that the orientation is preserved. We can use either the wkcuber or webknossos Python libraries.Goals
Thank you.
The text was updated successfully, but these errors were encountered: