XduSyL/EventGPT

🔥[CVPR2025] EventGPT: Event Stream Understanding with Multimodal Large Language Models

31
/ 100
Emerging

This project helps operations engineers, automation specialists, or security analysts understand incredibly fast-moving events by analyzing high-speed event streams (data from specialized event cameras) combined with text. It takes in raw event data and a text query, then provides a detailed natural language description of what happened in the scene, even for actions occurring within 50 milliseconds. The end-user persona is someone who needs to interpret rapid visual occurrences for applications like industrial monitoring or anomaly detection.

104 stars. No commits in the last 6 months.

Use this if you need to interpret extremely rapid visual events, such as a droplet falling or a die spinning, that standard video cameras might miss or blur, and you want a natural language description of these movements.

Not ideal if your primary need is analyzing standard frame-based video or still images, or if you don't work with specialized event camera data that captures changes at millisecond speeds.

high-speed imaging event cameras industrial monitoring anomaly detection scene understanding
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 12 / 25

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Stars

104

Forks

11

Language

Python

License

Last pushed

Jul 26, 2025

Commits (30d)

0

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