Sharpiless/Yolov5-deepsort-inference
Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中
This project helps operations managers or urban planners analyze traffic and pedestrian flow by taking live video feeds as input. It then tracks individual vehicles and people, and provides real-time counts of each. The output is a video stream with tracked objects highlighted and numerical counts, which can be used to understand congestion patterns or validate urban planning decisions.
1,459 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you need to automatically monitor and count vehicles and pedestrians in real-time from video footage.
Not ideal if you require tracking and counting a wider variety of objects beyond just vehicles and people, or if you need to process static images rather than continuous video streams.
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1,459
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Language
Python
License
GPL-3.0
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Last pushed
Mar 26, 2026
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