Skip to main content

DOI License

napari-epyseg

Plugin to run EpySeg directly in Napari. Can handle temporal data (movie) or single time point (image).

Installation

To install it from Napari, go into the Plugins menu, select Install/Uninstall Plugins.. and look for napari-epyseg in the plugins list.

To install it directly outside of napari, create/reuse and activate a python environement, e.g epyseg_env and install it with pip:

pip install napari-epyseg

[!IMPORTANT] epyseg is compatible until python 3.10 (included), but not for versions of python above. Thus, napari-epyseg is also compatible with python versions until 3.10

Usage

In Napari, go to Plugins>napari-epyseg to start it. It will open an interface in the left part of the main window.

interface_image

You must select the layer (image or movie, single color channel) on which to run EpySeg. For this, in the Pick an Image parameter, select the corresponding layer (you should open the image/movie independantly of the plugin).

To run EpySeg with default parameters, press directly Segment once you have selected the image. When processing is finished, a new layer called Segmentation will be added in the right panel of the interface. You can save the result with the Save segmentation button that appears on the left part of the interface. Choose where to save the file and the file name with the Segmentation filename parameter, and click the button to save it.

results_image

Remark

This plugin was tested on python 3.10, with epyseg version 0.1.52, napari version 0.4.19, tensorflow 2.14

Troubleshooting

  • On Linux Ubuntu, python 3.10, epyseg don't run with tensorflow 2.15 and output the error: DNN not found. Downgrading tensorflow to 2.14 worked.
  • tifffile versions compability: some versions of tifffile where not compatible with epyseg, but recent versions are now fine. tifffile <= 2021.11.2 are fine and tifffile==2025.1.10 also.

License

This plugin is distributed under the BDS-3 license. If you use this plugin, please cite Epyseg and the plugin with its doi: DOI

Metadata

Release files for napari-epyseg 0.0.14

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-epyseg 0.0.14
File Size Uploaded Provenance Actions
napari_epyseg-0.0.14.tar.gz 302.8 kB Without provenance Details for napari_epyseg-0.0.14.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for napari-epyseg 0.0.14
File Interpreter ABI Platform Actions
napari_epyseg-0.0.14-py3-none-any.whl Python 3 none any Details for napari_epyseg-0.0.14-py3-none-any.whl

Total release size: 312.9 kB

Release files / napari_epyseg-0.0.14.tar.gz

Download URL napari_epyseg-0.0.14.tar.gz
Size 302.8 kB
Tags Source
SHA-256 checksum
How to use checksums
2bab13c1a036f74ffbb6d399c233a60ef072b26a8ae7cb4a6c2e196cfe4bcbbd
BLAKE2b-256 checksum
How to use checksums
29a82c92fd030149a92a5074a18c8c94aa199c2282fcf8839c354e321225f02f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.0 CPython/3.10.12

Release files / napari_epyseg-0.0.14-py3-none-any.whl

Download URL napari_epyseg-0.0.14-py3-none-any.whl
Size 10.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1717c7e1d1ff239733fdfa5bfbcaf7a72bdb3a5ec1a0e7b4c2175860a756d43d
BLAKE2b-256 checksum
How to use checksums
25a8f60b64247b192277eedc00e078e1415ed43adb0fb7cd36bed7ba458ca168
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.0 CPython/3.10.12

Security for napari-epyseg 0.0.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page