napari-yapic-prediction

A 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

Please install either GPU or CPU version of tensorflow that is compatible with your cuda and cudnn libraries before installing the plugin depending on your system. One of the plugin dependency is yapic that currently has sensitivity to tensorflow versions.
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.

Release files for napari-yapic-prediction 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for napari-yapic-prediction 0.2.0
File	Size	Uploaded
napari-yapic-prediction-0.2.0.tar.gz	4.4 MB	Feb 4, 2022	Details

Built distribution (wheel)

Table of built distributions (wheels) for napari-yapic-prediction 0.2.0
File	Interpreter	ABI	Platform	Reset
napari_yapic_prediction-0.2.0-py3-none-any.whl 21.0 kB Feb 4, 2022	Python 3	none	any	Details

Total release size: 4.4 MB

Release files / napari-yapic-prediction-0.2.0.tar.gz

Download URL	napari-yapic-prediction-0.2.0.tar.gz
Size	4.4 MB
Tags	Source
SHA-256 checksum How to use checksums	`02ef748c83984ffde15d006a9847f528686b5fd50cdb3e7761e7a9fb892004ab`
BLAKE2b-256 checksum How to use checksums	`421871146a91e3d5fb523e5812d93988a8b813466df859b3722e0941c0f35a2d`
Upload date	Feb 4, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2`

Release files / napari_yapic_prediction-0.2.0-py3-none-any.whl

Download URL	napari_yapic_prediction-0.2.0-py3-none-any.whl
Size	21.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`baeacd5c315a0c59ab04d948d0d2c000c577993fd0eddfcf28a567a93af0f42a`
BLAKE2b-256 checksum How to use checksums	`0a4a1976ed330791db5df33f2a1a055a6d36a274a668d759b8c3ab2859cbcb94`
Upload date	Feb 4, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2`