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* updated README wip
* updated readmes
* spell check
* update to reamde
* update readme on metadata
* Update README.md
* Update README.md
* Merge remote-tracking branch 'origin/master' into readme2
* improve docs, move dataset examples into example folder, add more api reference links
* Merge remote-tracking branch 'origin/master' into readme2
* fix import
* add missing init
* use import webknossos as wk in examples
* add examples and annotation API from client PR to docs
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Co-authored-by: Philipp Otto <[email protected]>
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Co-authored-by: Philipp Otto <[email protected]>
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* guard against errors in pdoc leading to missing api docs
- up- & downloading annotations and datasets from your webKnossos instance
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- executing any of the wkcuber operations from below from your code
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Currently under construction :construction:
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## [webKnossos cuber (wkcuber) CLI](wkcuber)
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CLI tool to creating and manipulate [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)[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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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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