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-0.1.22.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-0.1.22-py3-none-any.whl (7.6 kB view details)

Uploaded Python 3

File details

Details for the file napari_piscis-0.1.22.tar.gz.

File metadata

  • Download URL: napari_piscis-0.1.22.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-0.1.22.tar.gz
Algorithm Hash digest
SHA256 db74322af05b893b5679a65809ec186c509eca665aeffe94a337a09d5ea2065e
MD5 e9d2d7bf889de02ef225c84eac86260e
BLAKE2b-256 f80814cfbcbff41ae1918dbdd07c57450cf80460d4b7ffaadfd614216809e330

See more details on using hashes here.

Provenance

The following attestation bundles were made for napari_piscis-0.1.22.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-0.1.22-py3-none-any.whl.

File metadata

  • Download URL: napari_piscis-0.1.22-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-0.1.22-py3-none-any.whl
Algorithm Hash digest
SHA256 e3b4428faeb5bd4aec3c234a47ee115b123e428cee9561709fbf1d856c4d9eda
MD5 f9ca494530ba3f40d34b97b5f3022782
BLAKE2b-256 0d32c0962ae0bb07525ed3f13c31f60998a82cfbf3df1e7f4f4360509b6bfc42

See more details on using hashes here.

Provenance

The following attestation bundles were made for napari_piscis-0.1.22-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