Welcome to Miro AI's Vision Toolbox

This site contains the project documentation for the toolbox project that contains all the most commonly used utility functions curated by our data science team.

Its aim is to give you a computer vision toolbox to build your own project and hit the ground running!

Things don't have to change the world to be important.

~ Steve Jobs

Table Of Contents

The documentation follows the best practice for project documentation as described by Daniele Procida in the Diátaxis documentation framework and consists of four separate parts:

1. Tutorials
2. How-To Guides
3. Reference
4. Explanation

Quickly find what you're looking for depending on your use case by looking at the different pages.

Project Overview

Miro AI's Data Scientist Python function toolbox

Modules exported by this package:

• im_utils: Provide several Image handling utility functions.
• data_utils: coming soon
• boxer: coming soon
• masks_handler: coming soon
• plotly_utils: coming soon
• st_utils: coming soon
• vid_utils: coming soon
• buckets: coming soon

Acknowledgements

If you wish to make an apple pie from scratch, you must first invent the universe

~ Carl Sagan

This package would not have existed without the amazing community of Pythonistas and Computer-Vision enthusiasts. References are cited throughout each function's documentation. This package in turn is our contribution back to the community

Thank you and let's build more beautiful things together!