https://github.com/diamondlightsource/survos2
Next generation of SuRVoS
https://github.com/diamondlightsource/survos2
Last synced: 10 months ago
JSON representation
Next generation of SuRVoS
- Host: GitHub
- URL: https://github.com/diamondlightsource/survos2
- Owner: DiamondLightSource
- License: mit
- Created: 2017-10-10T13:06:12.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2023-10-11T08:37:17.000Z (about 2 years ago)
- Last Synced: 2023-10-11T11:20:23.938Z (about 2 years ago)
- Language: Python
- Size: 82.3 MB
- Stars: 9
- Watchers: 6
- Forks: 6
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# SuRVoS2
SuRVoS2 is a workbench for volumetric image segmentation. It provides a GUI interface for annotation-intensive segmentation projects, enabling a fast iterative process of annotation, model training, and segmentation evaluation. SuRVoS2 is part of the Napari ecosystem of image analysis tools and has an interface that tries to leverage the power of Napari for simplifying complex workflows.
SuRVoS2 supports fast supervoxel-based classical ML segmentation prediction, multi-axis 2d U-net (and related) architectures and has initial suppport for 3D CNN architectures. SuRVoS2 also supports connected component analysis of segmentations with interactive inspection of individual components.
## Installation
Please follow the instructions in INSTALL.txt
## Documentation
The [SuRVoS2 Tutorial] .
[SuRVoS2 on Docker]
## Contributing
Contributions are very welcome. Tests can be run with pytest, please ensure
the coverage at least stays the same before you submit a pull request.
## License
Distributed under the terms of the [Apache Software License 2.0] license,
"SuRVoS2" is free and open source software
## Issues
If you encounter any problems, please [file an issue] along with a detailed description.
[napari]: https://github.com/napari/napari
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
[SuRVoS2 Tutorial]: docs/Survos_Training_Sept_2022.pdf
[SuRVoS2 on Docker]: docs/Docker.md