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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file napari_ai_lab-0.1.0a1.tar.gz.
File metadata
- Download URL: napari_ai_lab-0.1.0a1.tar.gz
- Upload date:
- Size: 329.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2900c4067d01ff3e1de6ac58d868184db0066f1f6187ac7f5d5161393400a4dd
|
|
| MD5 |
94ed33cb5e78c2b03c7420a1599342db
|
|
| BLAKE2b-256 |
81b240d29a885dc03712f01c25d43edbe2b10ccc0e699457c368ea2c125f295b
|
File details
Details for the file napari_ai_lab-0.1.0a1-py3-none-any.whl.
File metadata
- Download URL: napari_ai_lab-0.1.0a1-py3-none-any.whl
- Upload date:
- Size: 377.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5ca66176beec04b29fde2c8a0381f4026e752dc739de213d620a5ad81a827a39
|
|
| MD5 |
6258f9a993991b69d2d42a64e50d9472
|
|
| BLAKE2b-256 |
f52b93bba8c8551ca85e6b2901c62b519f6c5b548aa500c0f2ae0855f071e02b
|