Skip to main content

Action classification for TZYX/TYX shaped images, Static classification for TYX/YX shaped images

Project description

Oneat

Developed by KapoorLabs

Logo1 Logo2

This product is a testament to our expertise at KapoorLabs, where we specialize in creating cutting-edge solutions. We offer bespoke pipeline development services, transforming your developmental biology questions into publishable figures with our advanced computer vision and AI tools. Leverage our expertise and resources to achieve end-to-end solutions that make your research stand out.

Note: The tools and pipelines showcased here represent only a fraction of what we can achieve. For tailored and comprehensive solutions beyond what was done in the referenced publication, engage with us directly. Our team is ready to provide the expertise and custom development you need to take your research to the next level. Visit us at KapoorLabs.

License BSD-3 PyPI Python Version codecov

Action classification for TZYX shaped images, Static classification for TYX shaped images


This caped package was generated with Cookiecutter using @caped's cookiecutter-template template.

Installation

You can install oneat via pip:

pip install oneat

To install latest development version :

pip install git+https://github.com/Kapoorlabs-CAPED/caped-ai-oneat.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.

Computational Support

This work was granted access to the HPC resources of IDRIS under the allocation 2022 - [AD011013695], 2023 - [AD011013695R1], 2024 - [AD011013695R2] made by GENCI for training the models for action classification in 3D + time datasets.

License

Distributed under the terms of the BSD-3 license, "oneat" is free and open source software

Issues

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

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

oneat-6.9.1.tar.gz (6.2 MB view details)

Uploaded Source

Built Distribution

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

oneat-6.9.1-py3-none-any.whl (4.8 MB view details)

Uploaded Python 3

File details

Details for the file oneat-6.9.1.tar.gz.

File metadata

  • Download URL: oneat-6.9.1.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for oneat-6.9.1.tar.gz
Algorithm Hash digest
SHA256 a16543e9afd571c4c9c3538036e69277bfef40dba26679da041d93efbb572db2
MD5 b544a5c1bb779822696bf10705a2ecfa
BLAKE2b-256 501f3c4c1bb67035ce8f30c3f60b1570e287b5e4eece51216a1c0deefcc9f792

See more details on using hashes here.

File details

Details for the file oneat-6.9.1-py3-none-any.whl.

File metadata

  • Download URL: oneat-6.9.1-py3-none-any.whl
  • Upload date:
  • Size: 4.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for oneat-6.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8f844ef643f2307a985a9eae80c7d8904b8852e0ece247a9ca41c60cd390798c
MD5 2785afa7296950359b371cd4e6c77421
BLAKE2b-256 15df7a3b041c07b91c5162a4134298daef780d8e90ccf9edef4e97cbf8740af5

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