Action classification for TZYX/TYX shaped images, Static classification for TYX/YX shaped images
Project description
oneat
Developed by KapoorLabs
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.
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.
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
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