farzaa/gemini-bball
A demo application sending basketball video frames to Google's Gemini for AI-powered video understanding.
Not currently ranked — collecting fresh signals.
star history
The project demonstrates using Google’s Gemini model to analyze basketball video frames. The code processes video using OpenCV and sends frames to the Gemini API, which returns content based on its understanding of the video. The README notes Gemini video processing is limited to 1 FPS and describes the architecture needed to build a real-time product from this demo.
Frequently asked
- What is farzaa/gemini-bball?
- A demo application sending basketball video frames to Google's Gemini for AI-powered video understanding.
- Is gemini-bball open source?
- Yes — farzaa/gemini-bball is an open-source project tracked on heatdrop.
- What language is gemini-bball written in?
- farzaa/gemini-bball is primarily written in Python.
- How popular is gemini-bball?
- farzaa/gemini-bball has 1.2k stars on GitHub.
- Where can I find gemini-bball?
- farzaa/gemini-bball is on GitHub at https://github.com/farzaa/gemini-bball.