Skip to main content

A simple GAN based segmentation tool

Project description

w-seg

License MIT PyPI Python Version tests codecov napari hub npe2 Copier

A simple CNN based segmentation tool


This napari plugin was generated with copier using the napari-plugin-template (None).

Installation

You can install w-seg via pip:

pip install w-seg

If napari is not already installed, you can install w-seg with napari and Qt via:

pip install "w-seg[all]"

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 MIT license, "w-seg" 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

w_seg_napari-0.1.4.tar.gz (24.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

w_seg_napari-0.1.4-py3-none-any.whl (21.6 kB view details)

Uploaded Python 3

File details

Details for the file w_seg_napari-0.1.4.tar.gz.

File metadata

  • Download URL: w_seg_napari-0.1.4.tar.gz
  • Upload date:
  • Size: 24.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for w_seg_napari-0.1.4.tar.gz
Algorithm Hash digest
SHA256 3f72b4483a4f4271c3bd3987c334d16f81061e2666709cae29e714848ebeb1a9
MD5 2da84e97a0245124c306fa20b5bed7d1
BLAKE2b-256 d518d97dce3b19e0fbe823cca1c6165c5054de7a01c5dc57052f54a612f7932d

See more details on using hashes here.

File details

Details for the file w_seg_napari-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: w_seg_napari-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 21.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for w_seg_napari-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 63736b8c4b03e046c4c931d1de1b5f9763a986bce24554227a8a3188f671465c
MD5 1dbbc56592b11727136688f3a6369f0b
BLAKE2b-256 80c6e3ae21460439c5293c60ff3422d6bf893068ae7812321a46f6172aae4fa9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page