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1 | | -# webKnossos-libs |
| 1 | +# WEBKNOSSOS-libs |
2 | 2 | [](https://pypi.python.org/pypi/webknossos) |
3 | 3 | [](https://pypi.python.org/pypi/webknossos) |
4 | 4 | [](https://github.com/scalableminds/webknossos-libs/actions?query=workflow%3A%22CI%22) |
5 | 5 | [](https://docs.webknossos.org/webknossos-py/index.html) |
6 | 6 | [](https://github.com/psf/black) |
7 | 7 |
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8 | | -<img align="right" src="https://static.webknossos.org/images/oxalis.svg" alt="webKnossos Logo" /> |
| 8 | +<img align="right" src="https://static.webknossos.org/logos/webknossos-icon-only.svg" alt="WEBKNOSSOS Logo" width="100" height="100"/> |
9 | 9 |
|
10 | | -## [webKnossos Python API](webknossos) |
11 | | -Python API for working with [webKnossos](https://webknossos.org) datasets, annotations, and for webKnossos server interaction. |
| 10 | +## [WEBKNOSSOS Python API](webknossos) |
| 11 | +Python API for working with [WEBKNOSSOS](https://webknossos.org) datasets, annotations, and for WEBKNOSSOS server interactions. |
12 | 12 |
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13 | 13 | Use this for: |
14 | | -- reading/writing/manipulating raw 2D/3D image data and volume annotations/segmentation in webKnossos wrap (*.wkw) format |
15 | | -- handling/manipulation of webKnossos datasets |
16 | | -- reading/writing/manipulating webKnossos skeleton annotations (*.nml) |
17 | | -- up- & downloading annotations and datasets from your webKnossos instance |
| 14 | +- reading/writing/manipulating raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format |
| 15 | +- handling/manipulation of WEBKNOSSOS datasets |
| 16 | +- reading/writing/manipulating WEBKNOSSOS skeleton annotations (*.nml) |
| 17 | +- up- & downloading annotations and datasets from your WEBKNOSSOS instance |
18 | 18 | - executing any of the wkcuber operations from below from your code |
19 | 19 |
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20 | 20 | [Read more in the docs.](https://docs.webknossos.org/webknossos-py/) |
21 | 21 |
|
22 | | -## [webKnossos cuber (wkcuber) CLI](wkcuber) |
23 | | -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. |
| 22 | +## [WEBKNOSSOS cuber (wkcuber) CLI](wkcuber) |
| 23 | +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. |
24 | 24 |
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25 | 25 | Use this for: |
26 | | -- converting Tiff-stacks and other data formats for volume image data to webKnossos-compatible *.wkw files from the CLI |
| 26 | +- converting Tiff-stacks and other data formats for volume image data to WEBKNOSSOS-compatible *.wkw files from the CLI |
27 | 27 | - up/downsampling of *.wkw files to different magnification levels (image pyramid) from the CLI |
28 | 28 | - compressing your *.wkw files to save disk space from the CLI |
29 | 29 |
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