Oneat
Developed by KapoorLabs
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Action classification for TZYX shaped images, Static classification for TYX shaped images
Oneat architecture for TZYX shaped volumetric timelapse for action classification across N classes:
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.
Release files for oneat 6.9.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| oneat-6.9.9.tar.gz | 6.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| oneat-6.9.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.1 MB
Release files / oneat-6.9.9.tar.gz
| Download URL | oneat-6.9.9.tar.gz |
|---|---|
| Size | 6.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
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Release files / oneat-6.9.9-py3-none-any.whl
| Download URL | oneat-6.9.9-py3-none-any.whl |
|---|---|
| Size | 4.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
|