Data structures for managing image processing workflows in napari
Project description
napari-workflows
This repository contains data structures for managing image processing workflows in napari. There are no user interface in this repository as it serves as backend. Multiple front-ends for managing workflows are available in these napari plugins:
- napari-assistant
- napari-lattice
- napari-script-editor
- napari-workflow-optimizer
- napari-workflow-inspector
Using workflows, you can combine functions from these napari plugins in workflows:
- devbio-napari
- napari-accelerated-pixel-and-object-classification
- napari-cupy-image-processing
- napari-segment-blobs-and-things-with-membranes
- napari-simpleitk-image-processing
- napari_pyclesperanto_assistant
If you want to learn how these workflows function under the hood, the demo notebook gives some insights.
This repository was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-workflows
via pip:
pip install napari-workflows
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the BSD-3 license, "napari-workflows" is free and open source software
Acknowledgements
This project was supported by the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy – EXC2068 - Cluster of Excellence "Physics of Life" of TU Dresden. This project has been made possible in part by grant number 2021-240341 (Napari plugin accelerator grant) from the Chan Zuckerberg Initiative DAF, an advised fund of the Silicon Valley Community Foundation.
Issues
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