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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Entracod from gravatar.com Entracod

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: Varun Kapoor
  • Requires: Python >=3.8
  • Provides-Extra: testing
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Entracod from gravatar.com Entracod

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: Varun Kapoor
  • Requires: Python >=3.8
  • Provides-Extra: testing
Classifiers

Release history Release notifications | RSS feed

This version

6.8.9

6.8.8

6.8.7

6.8.6

6.8.4

6.8.3

6.8.2

6.8.1

6.8.0

6.7.9

6.7.8

6.7.6

6.7.5

6.7.4

6.7.3

6.7.2

6.7.1

6.7.0

6.6.9

6.6.8

6.6.7

6.6.6

6.6.5

6.6.4

6.6.3

6.6.2

6.6.1

6.6.0

6.5.9

6.5.8

6.5.7

6.5.6

6.5.5

6.5.4

6.5.3

6.5.0

6.4.9

6.4.8

6.4.7

6.4.6

6.4.5

6.4.4

6.4.3

6.4.2

6.4.0

6.3.9

6.3.8

6.3.7

6.3.6

6.3.5

6.3.4

6.3.3

6.3.2

6.3.0

6.2.4

6.2.3

6.2.0

6.1.9

6.1.8

6.1.7

6.1.6

6.1.5

6.1.4

6.1.3

6.1.2

6.1.1

6.1.0

6.0.9

6.0.8

6.0.7

6.0.4

6.0.2

6.0.1

6.0.0

5.11.1

5.11.0

5.10.9

5.10.8

5.10.7

5.10.6

5.10.5

5.10.4

5.10.3

5.10.2

5.10.1

5.10.0

5.9.9

5.9.8

5.9.7

5.9.6

5.9.5

5.9.3

5.9.2

5.9.1

5.9.0

5.8.9

5.8.8

5.8.7

5.8.6

5.8.5

5.8.4

5.8.3

5.8.2

5.8.1

5.8.0

5.7.9

5.7.8

5.7.7

5.7.6

5.7.5

5.7.4

5.7.3

5.7.2

5.7.1

5.7.0

5.6.9

5.6.8

5.6.7

5.6.6

5.6.5

5.6.4

5.6.3

5.6.2

5.6.1

5.6.0

5.5.9

5.5.8

5.5.7

5.5.6

5.5.5

5.5.4

5.5.3

5.5.2

5.5.1

5.5.0

5.4.9

5.4.8

5.4.7

5.4.6

5.4.5

5.4.4

5.4.3

5.4.2

5.4.1

5.4.0

5.3.9

5.3.8

5.3.7

5.3.6

5.3.5

5.3.4

5.3.3

5.3.2

5.3.1

5.3.0

5.2.9

5.2.8

5.2.7

5.2.6

5.2.5

5.2.4

5.2.3

5.2.2

5.2.1

5.2.0

5.1.9

5.1.8

5.1.7

5.1.6

5.1.5

5.1.4

5.1.3

5.1.2

5.1.1

5.1.0

5.0.9

5.0.8

5.0.7

5.0.6

5.0.5

5.0.4

5.0.3

5.0.2

4.7.3

4.7.2

4.7.1

4.7.0

4.6.9

4.6.8

4.6.7

4.6.6

4.6.5

4.6.4

4.6.3

4.6.2

4.6.1

4.6.0

4.5.9

4.5.8

4.5.7

4.5.6

4.5.5

4.5.4

4.5.3

4.5.2

4.5.1

4.5.0

4.4.9

4.4.8

4.4.7

4.4.6

4.4.5

4.4.4

4.4.3

4.4.2

4.4.0

4.3.9

4.3.8

4.3.7

4.3.6

4.3.5

4.3.4

4.3.3

4.3.2

4.3.1

4.3.0

4.2.7

4.2.6

4.2.5

4.2.4

4.2.3

4.2.2

4.2.1

4.2.0

4.1.9

4.1.8

4.1.7

4.1.6

4.1.5

4.1.4

4.1.3

4.1.2

4.1.1

4.1.0

4.0.9

4.0.8

4.0.7

4.0.6

4.0.5

4.0.4

4.0.3

4.0.2

4.0.1

4.0.0

3.9.9

3.9.8

3.9.7

3.9.6

3.9.5

3.9.4

3.9.3

3.9.2

3.9.1

3.9.0

3.8.9

3.8.8

3.8.7

3.8.6

3.8.5

3.8.4

3.8.3

3.8.2

3.8.1

3.8.0

3.7.9

3.7.8

3.7.7

3.7.6

3.7.5

3.7.4

3.7.3

3.7.2

3.7.1

3.7.0

3.6.9

3.6.8

3.6.7

3.6.6

3.6.5

3.6.4

3.6.3

3.6.2

3.6.1

3.6.0

3.5.9

3.5.8

3.5.7

3.5.6

3.5.5

3.5.4

3.5.3

3.5.2

3.5.1

3.5.0

3.4.9

3.4.8

3.4.7

3.4.6

3.4.5

3.4.4

3.4.3

3.4.2

3.4.1

3.4.0

3.3.9

3.3.8

3.3.7

3.3.6

3.3.5

3.3.4

3.3.3

3.3.1

3.3.0

3.2.9

3.2.8

3.2.7

3.2.6

3.2.5

3.2.4

3.2.3

3.2.2

3.2.1

3.2.0

3.1.9

3.1.8

3.1.7

3.1.6

3.1.5

3.1.4

3.1.3

3.1.2

3.1.1

3.1.0

3.0.9

3.0.8

3.0.7

3.0.6

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.9.9

2.9.8

2.9.7

2.9.6

2.9.5

2.9.4

2.9.3

2.9.2

2.9.1

2.9.0

2.8.9

2.8.8

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.8.0

2.7.9

2.7.8

2.7.7

2.7.6

2.7.5

2.7.4

2.7.3

2.7.2

2.7.1

2.7.0

2.6.9

2.6.8

2.6.7

2.6.6

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.9

2.5.8

2.5.7

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.9

2.4.8

2.4.7

2.4.6

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.2.1

1.2.0

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

Download files

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

Source Distribution

oneat-6.8.9.tar.gz (6.2 MB view details)

Uploaded Source

Built Distribution

oneat-6.8.9-py3-none-any.whl (4.8 MB view details)

Uploaded Python 3

File details

Details for the file oneat-6.8.9.tar.gz.

File metadata

  • Download URL: oneat-6.8.9.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for oneat-6.8.9.tar.gz
Algorithm Hash digest
SHA256 6e8939f9d8e4bd636528cd12e139f9c80f8e6057c7d7ad84f5258ce31a3adc48
MD5 96031629319bb79c27b48d2312fd831f
BLAKE2b-256 5472644391068c3549e963eb09107d965e7890294e8aad11909ee087b1844591

See more details on using hashes here.

File details

Details for the file oneat-6.8.9-py3-none-any.whl.

File metadata

  • Download URL: oneat-6.8.9-py3-none-any.whl
  • Upload date:
  • Size: 4.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for oneat-6.8.9-py3-none-any.whl
Algorithm Hash digest
SHA256 a95721505514edfe9456ff56d7e9ffb78ed45c5ffa3acd0130826a62c108b1da
MD5 53050b051d6c3c9784bc4625fc711a24
BLAKE2b-256 6a25f213c027b3a081c815f5a53fc77b90fc7ab69dc6a468078b5421bc417229

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