Skip to main content

Unofficial plugin for Piscis, a deep learning algorithm for spot detection.

Project description

napari-piscis

License MIT PyPI Python Version tests codecov napari hub npe2

Unofficial napari plugin for Piscis, a deep learning algorithm for spot detection.

Installation

You can install napari-piscis via pip:

pip install napari-piscis

Or within the napari GUI via the Plugin Manager.

To install latest development version:

pip install git+https://github.com/p5ithurism/napari-piscis.git

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.

Issues

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

License

Distributed under the terms of the MIT license, "napari-piscis" is free and open source software

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_piscis-0.1.21.tar.gz (17.2 kB view details)

Uploaded Source

Built Distribution

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

napari_piscis-0.1.21-py3-none-any.whl (7.6 kB view details)

Uploaded Python 3

File details

Details for the file napari_piscis-0.1.21.tar.gz.

File metadata

  • Download URL: napari_piscis-0.1.21.tar.gz
  • Upload date:
  • Size: 17.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for napari_piscis-0.1.21.tar.gz
Algorithm Hash digest
SHA256 d5aa5ed5642d71836bfedfe25e949fd56c119fd276e88adf8c724e02dc1c369b
MD5 731be5a5801d2c3ac43a51521318356b
BLAKE2b-256 1af618f3ea8532779fa0dfa7d3d71024c950ac09c4b43c54838982b84f707a4c

See more details on using hashes here.

Provenance

The following attestation bundles were made for napari_piscis-0.1.21.tar.gz:

Publisher: test_and_deploy.yml on p5ithurism/napari-piscis

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file napari_piscis-0.1.21-py3-none-any.whl.

File metadata

  • Download URL: napari_piscis-0.1.21-py3-none-any.whl
  • Upload date:
  • Size: 7.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for napari_piscis-0.1.21-py3-none-any.whl
Algorithm Hash digest
SHA256 5d2e7e3560f15a713f8b485d6c182e7b9f20f8e65b6fa1a4752c1ae6b6ed7df9
MD5 cfc05b842a3a2bdf06b2790c14b15d05
BLAKE2b-256 6fa4124a58ef0a29530ee47f0862a3cfb236eaa21352d43466b2750975689e94

See more details on using hashes here.

Provenance

The following attestation bundles were made for napari_piscis-0.1.21-py3-none-any.whl:

Publisher: test_and_deploy.yml on p5ithurism/napari-piscis

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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