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updated WK logo and branding in readme (#898)
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README.md

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# webKnossos-libs
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# WEBKNOSSOS-libs
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[![PyPI version](https://img.shields.io/pypi/v/webknossos)](https://pypi.python.org/pypi/webknossos)
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[![Supported Python Versions](https://img.shields.io/pypi/pyversions/webknossos.svg)](https://pypi.python.org/pypi/webknossos)
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[![Build Status](https://img.shields.io/github/actions/workflow/status/scalableminds/webknossos-libs/.github/workflows/ci.yml?branch=master)](https://github.com/scalableminds/webknossos-libs/actions?query=workflow%3A%22CI%22)
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[![Documentation](https://img.shields.io/badge/docs-passing-brightgreen.svg)](https://docs.webknossos.org/webknossos-py/index.html)
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[![Code Style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
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<img align="right" src="https://static.webknossos.org/images/oxalis.svg" alt="webKnossos Logo" />
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<img align="right" src="https://static.webknossos.org/logos/webknossos-icon-only.svg" alt="WEBKNOSSOS Logo" width="100" height="100"/>
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## [webKnossos Python API](webknossos)
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Python API for working with [webKnossos](https://webknossos.org) datasets, annotations, and for webKnossos server interaction.
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## [WEBKNOSSOS Python API](webknossos)
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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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- 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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- reading/writing/manipulating raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format
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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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- executing any of the wkcuber operations from below from your code
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[Read more in the docs.](https://docs.webknossos.org/webknossos-py/)
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## [webKnossos cuber (wkcuber) CLI](wkcuber)
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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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## [WEBKNOSSOS cuber (wkcuber) CLI](wkcuber)
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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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- 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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