levan92/deep_sort_realtime

A really more real-time adaptation of deep sort

70
/ 100
Verified

This tool helps security analysts, crowd managers, or anyone monitoring live video feeds to reliably track objects or people in real-time. It takes a stream of object detections (like bounding boxes or polygons around people or cars) from each video frame and outputs consistent, unique IDs for each tracked object as they move across frames. This ensures that you know if it's the "same" person or object you're seeing again.

241 stars. Available on PyPI.

Use this if you need to assign unique, persistent IDs to objects or individuals as they appear and move across consecutive frames in a live video stream.

Not ideal if your primary goal is simply detecting objects in individual frames without needing to track their identities over time or across different views.

video-surveillance object-tracking crowd-monitoring real-time-analytics person-tracking
Maintenance 13 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 22 / 25

How are scores calculated?

Stars

241

Forks

63

Language

Python

License

MIT

Last pushed

Mar 25, 2026

Commits (30d)

0

Dependencies

3

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/levan92/deep_sort_realtime"

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