Sharpiless/Yolov5-deepsort-inference

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1479 stars · 288 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library combining YOLOv5 object detection with DeepSort multi-object tracking to detect, track, and count vehicles and pedestrians in video streams. Detection and tracking logic is wrapped in a reusable Detector class for easy integration into custom projects.

Use cases

• track vehicles and pedestrians in video
• count cars passing through a video stream
• count people in a crowd video
• integrate object tracking into my python project
• run yolov5 detection with deepsort tracking
• multi-object tracking on cctv footage

When to choose

• you need ready-made vehicle or pedestrian detection, tracking, and counting with YOLOv5
• you want a simple Detector class to embed tracking into an existing pipeline
• you want to swap in your own trained YOLOv5 weights

When to avoid

• you need the latest YOLO versions or state-of-the-art trackers
• you need production-grade performance tuning or long-term support
• you work outside Python or need non-GPL licensing

Facets

library · maturity maintenance

computer-vision image-processing video-processing machine-learning deep-learning computer-vision artificial-intelligence deep-learning python cross-platform yolov5 deepsort object-tracking object-detection multi-object-tracking vehicle-counting pedestrian-tracking video gpu

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markdown · JSON · MCP: product_card(name="Sharpiless/Yolov5-deepsort-inference")