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

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  • License: BSD License (BSD-3-Clause)
  • Author: Varun Kapoor
  • Requires: Python >=3.8
Classifiers

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

6.8.9

6.8.8

6.8.7

6.8.6

6.8.4

6.8.3

6.8.2

6.8.1

6.8.0

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6.7.3

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6.6.9

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6.6.5

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6.6.3

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6.6.1

6.6.0

6.5.9

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6.5.3

6.5.0

6.4.9

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6.4.4

6.4.3

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6.4.0

6.3.9

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6.3.5

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6.3.3

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6.3.0

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6.1.9

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6.1.0

6.0.9

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6.0.4

6.0.2

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6.0.0

5.11.1

5.11.0

5.10.9

5.10.8

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5.10.6

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5.10.3

5.10.2

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5.9.9

5.9.8

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5.8.9

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5.7.9

5.7.8

5.7.7

5.7.6

5.7.5

5.7.4

5.7.3

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5.6.9

5.6.8

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5.5.8

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5.4.9

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5.3.9

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5.1.1

5.1.0

5.0.9

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5.0.5

5.0.4

This version

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

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4.5.4

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4.5.2

4.5.1

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4.4.9

4.4.8

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4.4.6

4.4.5

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4.4.3

4.4.2

4.4.0

4.3.9

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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

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4.1.5

4.1.4

4.1.3

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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

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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

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