Skip to main content

napari plugin providing an interface to CAREamics.

Project description

CAREamics napari plugin

License PyPI Python Version CI codecov Image.sc

CAREamics is a PyTorch library aimed at simplifying the use of Noise2Void and its many variants and cousins (CARE, Noise2Noise, N2V2, P(P)N2V, HDN, muSplit etc.).

Why CAREamics?

Noise2Void is a widely used denoising algorithm, and is readily available from the n2v python package. However, n2v is based on TensorFlow, while more recent methods denoising methods (PPN2V, DivNoising, HDN) are all implemented in PyTorch, but are lacking the extra features that would make them usable by the community.

The aim of CAREamics is to provide a PyTorch library reuniting all the latest methods in one package, while providing a simple and consistent API. The library relies on PyTorch Lightning as a back-end. In addition, we will provide extensive documentation and tutorials on how to best apply these methods in a scientific context.

This package provide a plugin for the napari viewer.

Installation and use

Check out the documentation for installation instructions and guides!

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

careamics_napari-0.0.4.tar.gz (59.5 kB view details)

Uploaded Source

Built Distribution

careamics_napari-0.0.4-py3-none-any.whl (71.9 kB view details)

Uploaded Python 3

File details

Details for the file careamics_napari-0.0.4.tar.gz.

File metadata

  • Download URL: careamics_napari-0.0.4.tar.gz
  • Upload date:
  • Size: 59.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for careamics_napari-0.0.4.tar.gz
Algorithm Hash digest
SHA256 92d70539e5a655f11e2d7a925a515200701a1b48e28f6d30e442b726e93505c6
MD5 b591efee95a7d677cf5690cbfc975738
BLAKE2b-256 171c78cb23f204a2c8a1f0bffba2e24541f7ac4e04d59aa06a4e58d0e550ebd6

See more details on using hashes here.

File details

Details for the file careamics_napari-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for careamics_napari-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 2980243f6ff61b2cec5387183eaba48e2936e53630290670c659cb4e33a8f470
MD5 d1861317df338059ca98aa657c8d0081
BLAKE2b-256 131f7723d3870b1615316866ab87b10bd73962c5db94abdc62f6724d289270b6

See more details on using hashes here.

Supported by

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