The napari hub is transitioning to a community-run implementation due to launch in June 2025.
Since October 1, 2024, this version is no longer actively maintained and will not be updated. New plugins and plugin updates will continue to be listed.

ROXAS AI

napari-roxas-ai

A plugin that integrates the ROXAS AI analysis methods for quantitative wood anatomy in the napari platform

Workflow step:
Image annotation
Image segmentation

License GNU GPL v3.0 PyPI Python Version tests codecov napari hub

A plugin that integrates the ROXAS AI analysis methods for quantitative wood anatomy in the napari platform


This napari plugin was generated with copier using the napari-plugin-template.

Installation

You will need github large file storage to download model files. If not using a debian-based distribution, check https://git-lfs.com/, else run:

sudo apt install git-lfs

You then need to activate it with:

git lfs install --skip-repo

You can install napari-roxas-ai via pip:

pip install napari-roxas-ai

To install latest development version:

pip install -e git+https://github.com/roxas-ai/napari-roxas-ai.git#egg=napari-roxas-ai

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 GNU GPL v3.0 license, "napari-roxas-ai" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Version:

  • 0.0.1

Last updated:

  • 17 May 2025

First released:

  • 17 May 2025

License:

Supported data:

  • Information not submitted

Save extension:

  • Information not submitted

Save layers:

GitHub activity:

  • Stars: 0
  • Forks: 0
  • Issues + PRs: 1

Python versions supported:

Operating system:

Requirements:

  • magicgui==0.10.0
  • napari[all]==0.5.6
  • numpy<=2.1.3,>=2.0.2
  • opencv-contrib-python-headless==4.11.0.86
  • qtpy==2.4.3
  • rasterio==1.4.3
  • scikit-image<=0.25.2,>=0.24.0
  • matplotlib<=3.10.1,>=3.9.4
  • torch<2.7.0,>=2.2.0; sys_platform == "linux" and platform_machine == "x86_64"
  • torchvision==0.21.0; sys_platform == "linux" and platform_machine == "x86_64"
  • torch<2.7.0,>=2.2.0; sys_platform == "win32" and platform_machine == "AMD64"
  • torchvision==0.21.0; sys_platform == "win32" and platform_machine == "AMD64"
  • torch<2.7.0,>=2.2.0; sys_platform == "darwin" or platform_machine == "arm64"
  • torchvision==0.21.0; sys_platform == "darwin" or platform_machine == "arm64"
  • pytorch-lightning==2.5.1
  • segmentation-models-pytorch==0.4.0
  • albumentations==2.0.5
  • hydra-core==1.3.2