3D Filament Annotator
3D Filament Annotator is a tool for annotating filaments and other curvilinear structures in 3D. The 3D annotation is done by annotating the filament in two different projections, calculating intersection, and refining the filament position with active contours.
Installation
Install napari
pip install napari[all]
Install the filament annotator
pip install git+https://github.com/amedyukhina/napari-filament-annotator.git
Usage
For detailed usage instructions, please refer to the usage tutorial.
Contributing
Contributions are very welcome both with regard to plugin functionality, and tips on using it and setting parameters.
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 Apache Software License 2.0 license, "napari-filament-annotator" is free and open source software
Dependencies
Issues
If you encounter any problems, please file an issue along with a detailed description.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
1 maintainer
Metadata
1 maintainer
Release files for napari-filament-annotator 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| napari-filament-annotator-0.1.2.tar.gz | 7.5 MB | Without provenance | Details for napari-filament-annotator-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| napari_filament_annotator-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for napari_filament_annotator-0.1.2-py3-none-any.whl |
Total release size: 7.6 MB
Release files / napari-filament-annotator-0.1.2.tar.gz
| Download URL | napari-filament-annotator-0.1.2.tar.gz |
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| Size | 7.5 MB |
| Tags | Source |
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Release files / napari_filament_annotator-0.1.2-py3-none-any.whl
| Download URL | napari_filament_annotator-0.1.2-py3-none-any.whl |
|---|---|
| Size | 24.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.7
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