napari-vector-graphics
Helper plugin to export napari viewer content as SVG
This napari plugin was generated with copier using the napari-plugin-template.
Installation
You can install napari-vector-graphics via pip:
pip install napari-vector-graphics
If you want to be able to vectorize segmentation layers, you will need python-opencv-headless.
To install it, run:
pip install "napari-vector-graphics[all]"
To install latest development version :
pip install git+https://github.com/JoOkuma/napari-vector-graphics.git
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-vector-graphics" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Metadata
Release files for napari-vector-graphics 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari_vector_graphics-0.1.0.tar.gz | 19.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_vector_graphics-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.4 kB
Release files / napari_vector_graphics-0.1.0.tar.gz
| Download URL | napari_vector_graphics-0.1.0.tar.gz |
|---|---|
| Size | 19.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Release files / napari_vector_graphics-0.1.0-py3-none-any.whl
| Download URL | napari_vector_graphics-0.1.0-py3-none-any.whl |
|---|---|
| Size | 18.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|