This release is a pre-release and may not be stable for production use.
napari-ai-lab
A collection of plugins and utilities for ND segmentation with Cellpose, StarDist, SAM and more
Status: early, and released for a specific reason
This is an alpha release. It exists so that the analysis in a forthcoming article can be reproduced against a fixed, installable version, rather than against a moving git branch.
That means:
- The API will change without deprecation. Pin an exact version.
- Parts of it are experimental, and some segmenters are more finished than others.
- The deep-learning ops are expected to migrate to scikit-ops over subsequent releases, which will change how segmenters are invoked.
If you are here from the article, install the exact version it pins. If you are here to use it day to day, it is probably too early — but issues and feedback are welcome.
This napari plugin was generated with copier using the napari-plugin-template (None).
Installation
You can install napari-ai-lab via pip:
pip install napari-ai-lab
If napari is not already installed, you can install napari-ai-lab with napari and Qt via:
pip install "napari-ai-lab[all]"
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-ai-lab" 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-ai-lab 0.1.0a2
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_ai_lab-0.1.0a2.tar.gz | 370.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_ai_lab-0.1.0a2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 793.4 kB
Release files / napari_ai_lab-0.1.0a2.tar.gz
| Download URL | napari_ai_lab-0.1.0a2.tar.gz |
|---|---|
| Size | 370.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.11.13
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Release files / napari_ai_lab-0.1.0a2-py3-none-any.whl
| Download URL | napari_ai_lab-0.1.0a2-py3-none-any.whl |
|---|---|
| Size | 423.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.13
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