A plugin for segmenting images using AI models via the Segment-Flow Nextflow pipeline.
Project description
AIoD Napari Plugin
Napari plugin part of AI OnDemand (AIoD) to provide an accessible interface for running deep learning models on images via our Nextflow pipeline.
This [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.
Installation
See our latest installation information in our documentation!
In general, you should see the official Napari installation instructions first to ensure Napari is installed with an appropriate Qt backend.
uv
A uv.lock file is provided for smoother installation:
uv add aiod_napari
Conda
We have also provided a conda environment file to install all the dependencies for this plugin. To install the environment, run the following command:
conda env create -f ai-od.yml
Note that when it comes to the installation of napari this may be preferable, depending on whether your system is best supported by the pip- or conda-packaged version.
Usage
For general usage of the plugin, see the documentation.
For developers, see our developer guide for some tips on how to get started and contribute to the plugin.
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.
Issues
If you encounter any problems, please raise an issue along with a detailed description.
Project details
Release history Release notifications | RSS feed
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 aiod_napari-0.1.tar.gz.
File metadata
- Download URL: aiod_napari-0.1.tar.gz
- Upload date:
- Size: 272.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
99dcedec58c333156eb9febad499601f562e2d8960cdb864585e83aaf7a6dc8b
|
|
| MD5 |
e81093dc8e992b804a77a4a804cc7a1a
|
|
| BLAKE2b-256 |
08af0d5707490d36caa0ebdaaa9c10978b764690ddd590fde49b5ce9b673c126
|
Provenance
The following attestation bundles were made for aiod_napari-0.1.tar.gz:
Publisher:
release.yml on FrancisCrickInstitute/aiod_napari
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
aiod_napari-0.1.tar.gz -
Subject digest:
99dcedec58c333156eb9febad499601f562e2d8960cdb864585e83aaf7a6dc8b - Sigstore transparency entry: 2006917198
- Sigstore integration time:
-
Permalink:
FrancisCrickInstitute/aiod_napari@6441d5e59671e108e667f437bed268fec69dd857 -
Branch / Tag:
refs/tags/v0.1 - Owner: https://github.com/FrancisCrickInstitute
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@6441d5e59671e108e667f437bed268fec69dd857 -
Trigger Event:
push
-
Statement type:
File details
Details for the file aiod_napari-0.1-py3-none-any.whl.
File metadata
- Download URL: aiod_napari-0.1-py3-none-any.whl
- Upload date:
- Size: 147.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0e344d418afb1c0d04be93e412410304915f7afcc69e1c0a43b60c34fe76faec
|
|
| MD5 |
442768f5c9faadcf3238024b04e09028
|
|
| BLAKE2b-256 |
3401efd35b3c929a93cd5453761716b5c33ab6d00c1fb78eb0353ae52f52bfe2
|
Provenance
The following attestation bundles were made for aiod_napari-0.1-py3-none-any.whl:
Publisher:
release.yml on FrancisCrickInstitute/aiod_napari
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
aiod_napari-0.1-py3-none-any.whl -
Subject digest:
0e344d418afb1c0d04be93e412410304915f7afcc69e1c0a43b60c34fe76faec - Sigstore transparency entry: 2006917305
- Sigstore integration time:
-
Permalink:
FrancisCrickInstitute/aiod_napari@6441d5e59671e108e667f437bed268fec69dd857 -
Branch / Tag:
refs/tags/v0.1 - Owner: https://github.com/FrancisCrickInstitute
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@6441d5e59671e108e667f437bed268fec69dd857 -
Trigger Event:
push
-
Statement type: