https://github.com/epfl-center-for-imaging/napari-adaptive-painting
Propagate label annotations in Napari.
https://github.com/epfl-center-for-imaging/napari-adaptive-painting
image-annotation-tool napari-plugin
Last synced: 27 days ago
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Propagate label annotations in Napari.
- Host: GitHub
- URL: https://github.com/epfl-center-for-imaging/napari-adaptive-painting
- Owner: EPFL-Center-for-Imaging
- License: bsd-3-clause
- Created: 2024-08-13T12:09:38.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-01-24T08:59:30.000Z (3 months ago)
- Last Synced: 2025-01-24T09:29:55.554Z (3 months ago)
- Topics: image-annotation-tool, napari-plugin
- Language: Python
- Homepage:
- Size: 20.5 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README

# 🖌️ napari-adaptive-paintingPropagate label annotations in Napari.
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## Installation
You can install `napari-adaptive-painting` via [pip](https://pypi.org/project/pip/):
pip install napari-adaptive-painting
## Usage
- Select the plugin from the `Plugins` menu of Napari.
- Open an image to annotate (2D+t or 3D).
- Open, load, or create a `Labels` layer for annotating objects.
- Select the instance label to adaptively paint from the layer controls (tip: use the `Pick mode` to quickly select labels) or draw a new one (in the visible 2D plane).
- Click on *Start*.
- Move along the Z axis (which can also represent time). Whenever the Z plane changes, the label mask is adapted to match the new Z plane.**Known limitations**
- The plugin won't work if the layers are transposed. Stick to the original layer orientation.
## Contributing
Contributions are welcome. Please get in touch if you'd like to be involved in improving or extending the package.
## License
Distributed under the terms of the [BSD-3](http://opensource.org/licenses/BSD-3-Clause) license, "napari-adaptive-painting" is free and open source software.
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This [napari](https://github.com/napari/napari) plugin is an output of a collaborative project between the [EPFL Center for Imaging](https://imaging.epfl.ch/) and the [De Palma Lab](https://www.epfl.ch/labs/depalma-lab/) in 2024.