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README.md

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Python API for working with [WEBKNOSSOS](https://webknossos.org) datasets, annotations, and for WEBKNOSSOS server interactions.
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Use this for:
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- reading/writing/manipulating raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format
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- reading/writing/manipulating raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS format (Zarr and WKW)
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- handling/manipulation of WEBKNOSSOS datasets
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- reading/writing/manipulating WEBKNOSSOS skeleton annotations (*.nml)
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- up- & downloading annotations and datasets from your WEBKNOSSOS instance
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### CLI
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CLI tool for creating and manipulating [WEBKNOSSOS](https://webknossos.org) [WKW](https://github.com/scalableminds/webknossos-wrap) datasets. WKW is a container format for efficiently storing large-scale 3D images as found in microscopy data.
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CLI tool for creating and manipulating [WEBKNOSSOS](https://webknossos.org) datasets.
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Use this for:
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- converting Tiff-stacks and other data formats for volume image data to WEBKNOSSOS-compatible *.wkw files from the CLI
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- up/downsampling of *.wkw files to different magnification levels (image pyramid) from the CLI
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- compressing your *.wkw files to save disk space from the CLI
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- converting Tiff-stacks and other data formats for volume image data to WEBKNOSSOS-compatible datasets from the CLI
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- up/downsampling of datasets to different magnification levels (image pyramid) from the CLI
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- compressing your datasets to save disk space from the CLI
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[Read more in the docs.](https://docs.webknossos.org/webknossos-py/)
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