Skip to main content

Napari widget plugin to perform yapic model segmentation prediction in the napari window

Project description

napari-yapic-prediction

License PyPI Python Version tests codecov

napari widget plugin to perform YAPiC model segmentation prediction in the napari window.


This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.

Description

This napari plugin provides a widget to upload a YAPiC trained model and perform segmentation over all the present images in the napari window. The segmentation results are uploaded as napari layers into the viewer automatically with the name structure of imgename_prediction.

Installation

  1. Please install either GPU or CPU version of tensorflow before installing the plugin depending on your system. One of the plugin dependency is yapic that currently has sensitivity to tensorflow versions. This behaviour will be removed in future.

  2. You can install napari-yapic-prediction via pip:

    pip install napari-yapic-prediction

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-yapic-prediction" is free and open source software

Issues

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

napari-yapic-prediction-0.1.dev98.tar.gz (4.4 MB view hashes)

Uploaded source

Built Distribution

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page