I’ve just released a brand-new Tutorials section for the library.
When discovering a new Python library, I rarely start with the API reference. I want practical examples that show how the library is intended to be used and how different components fit together.
That’s exactly what these tutorials aim to provide.
With step-by-step guides, you can progressively discover how to build image processing and computer vision workflows while learning the design philosophy behind Otary:
- One unified library for image processing and 2D geometry - A clean, Pythonic API focused on readability - Interactive workflows that are easy to explore in Jupyter notebooks - Practical examples you can adapt to your own projects
This part of the documentation contains examples of what you one can do with Otary.
Those examples are just meant to help you understand how to use Otary and not to be a complete reference. Just explore and have fun with all the possibilities that Otary has to offer.
Table of content: