emptysoal/Deepsort-YOLOv5-TensorRT
An object tracking project with YOLOv5-v5.0 and Deepsort, speed up by C++ and TensorRT.
This project helps operations engineers and anyone working with video surveillance or automation to track objects in real-time, especially in resource-constrained environments like embedded devices. It takes a video stream as input and outputs a video with identified and consistently tracked objects, such as people or vehicles. This is ideal for scenarios requiring continuous monitoring and analysis of moving entities.
Use this if you need to rapidly detect and track specific objects in live video feeds on compact, low-power hardware like a Jetson Nano.
Not ideal if you're not working with embedded Linux systems or if your primary need is static object detection rather than continuous tracking.
Stars
17
Forks
5
Language
C++
License
MIT
Category
Last pushed
Oct 23, 2025
Commits (30d)
0
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