dyh/unbox_yolov5_deepsort_counting

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1091 stars · 251 forks observed · 2026-08-28

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

A Python application that combines YOLOv5 object detection with DeepSORT multi-object tracking to detect, track, and count pedestrians and vehicles in video. It supports directional in/out counting with configurable detection zones and classes.

Use cases

• count pedestrians entering and exiting an area in video
• track and count vehicles passing a line in traffic footage
• detect people, cars, bikes, buses and trucks in a video
• build a traffic flow counting demo with yolov5 and deepsort
• analyze foot traffic direction from surveillance video

When to choose

• you need a ready-made yolov5 + deepsort counting pipeline for pedestrians or vehicles
• you want directional in/out counting with adjustable polygon zones
• you want a simple educational reference for object tracking and counting

When to avoid

• you need real-time streaming or production-grade deployment support
• you need a maintained project with a license, recent updates, or active support
• you need tracking classes beyond the default COCO categories without code changes

Facets

application · maturity maintenance

computer-vision machine-learning video-processing object-storage computer-vision machine-learning python cross-platform yolov5 deepsort object-tracking object-detection counting pedestrian-detection vehicle-detection video linux

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markdown · JSON · MCP: product_card(name="dyh/unbox_yolov5_deepsort_counting")