https://github.com/oeway/img-segment
https://github.com/oeway/img-segment
Last synced: about 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/oeway/img-segment
- Owner: oeway
- License: mit
- Created: 2019-04-22T17:24:20.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-04-22T14:51:44.000Z (about 7 years ago)
- Last Synced: 2025-02-15T18:33:02.061Z (over 1 year ago)
- Language: Python
- Homepage: https://muellerflorian.github.io/img-segment
- Size: 4.88 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: ReadMe.md
- License: LICENSE
Awesome Lists containing this project
README
# Python auxiliary toolbox for cell segmentation with Deep Learning
This Python code provides auxiliary functions to perform image segmentation. It
contains different modules to
* Convert image annotations to image masks.
* Convert image masks to polygon cooordinates. These coordinates can be stored in
different formats and be use in other applications.
These tool were specifically developed to be used with [**ImJoy**]()
and its [**A-net plugin**](), but can also be outside of this scope.
For a more detailed description for how to use these tools in the context of
cell segmentation, we refer to the [**A-net documentation])().
## For the MkDocs
* Launch dev-server: `mkdocs serve`
* Building the site: `mkdocs build`
* Deploy to GitHub pages: `mkdocs gh-deploy --clean --force`