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
Classifiers
Report project as malware

Project description

oneat

License BSD-3 PyPI Python Version tests 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/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.

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
Classifiers

Release history Release notifications | RSS feed

6.9.9

6.9.8

6.9.7

6.9.5

6.9.4

6.9.3

6.9.1

6.9.0

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

This version

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-5.0.5.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

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

oneat-5.0.5-py3-none-any.whl (111.5 kB view details)

Uploaded Python 3

File details

Details for the file oneat-5.0.5.tar.gz.

File metadata

  • Download URL: oneat-5.0.5.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.0

File hashes

Hashes for oneat-5.0.5.tar.gz
Algorithm Hash digest
SHA256 19a964d5d26b1435fdc24a5d6509b0ac2de02bee6d07437aa81fce52931a4a15
MD5 e2b6f26807c156a24d36f5a7437fa986
BLAKE2b-256 ca9ef4a8415cf0c32eaa46fae180b2c12e93eb8ce4ee402ba908e67e8825cfe2

See more details on using hashes here.

File details

Details for the file oneat-5.0.5-py3-none-any.whl.

File metadata

  • Download URL: oneat-5.0.5-py3-none-any.whl
  • Upload date:
  • Size: 111.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.0

File hashes

Hashes for oneat-5.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 074e895285c0977e717df7e9bc15c04c7c7e9f8e003bfee68b2645f69251694b
MD5 acc833ecfe7b1ec29ac276cad1754ec8
BLAKE2b-256 3ab37b230594ae3a1e2125f65bff1e42684d98bae088bd572dcfa756ddfc71f7

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