Toolbox for running N2V and friends.

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for jdeschamps from gravatar.com jdeschamps

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: CAREamics team
  • Requires: Python >=3.9
  • Provides-Extra: dev , examples , tensorboard , wandb
Classifiers
Report project as malware

Project description

CAREamics

License PyPI Python Version CI codecov

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.

Installation and use

Check out the documentation for installation instructions and guides!

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for jdeschamps from gravatar.com jdeschamps

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: CAREamics team
  • Requires: Python >=3.9
  • Provides-Extra: dev , examples , tensorboard , wandb
Classifiers

Release history Release notifications | RSS feed

0.1.0rc8 pre-release

0.1.0rc7 pre-release

0.1.0rc6 pre-release

0.1.0rc5 pre-release

0.1.0rc4 pre-release

0.1.0rc3 pre-release

0.1.0rc2 pre-release

0.1.0rc1 pre-release

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4.2

This version

0.0.4.1

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

careamics-0.0.4.1.tar.gz (249.2 kB view details)

Uploaded Source

Built Distribution

careamics-0.0.4.1-py3-none-any.whl (267.1 kB view details)

Uploaded Python 3

File details

Details for the file careamics-0.0.4.1.tar.gz.

File metadata

  • Download URL: careamics-0.0.4.1.tar.gz
  • Upload date:
  • Size: 249.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for careamics-0.0.4.1.tar.gz
Algorithm Hash digest
SHA256 0ead6e7808f05dd6de25228bc0669a659e057a5abe9f63c2ce10bdf8355ab3ba
MD5 4bdfcc02bdbb29d7a15ae8e41ac05a29
BLAKE2b-256 3d63afec9103bdb16d5c5cba398d7873e67f7ada222e87c2ff08082bc8eb332b

See more details on using hashes here.

File details

Details for the file careamics-0.0.4.1-py3-none-any.whl.

File metadata

  • Download URL: careamics-0.0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 267.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for careamics-0.0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 054ba8e28ce1c9ce18a11e9a0e3c2a9328f4667f66fc8455d6254b44e749c084
MD5 713bf9068e0c532bd67cae0f12d99da3
BLAKE2b-256 6bd0fa8b365c127b4f8a34c7be887bc75ee7c7141cbf00fc568cd9021403e5fa

See more details on using hashes here.

Supported by

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