theAIGuysCode/yolov4-deepsort

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1428 stars · 749 forks observed · 2026-08-28

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

A Python implementation of multi-object tracking that combines YOLOv4 object detection with the Deep SORT tracking algorithm using TensorFlow. It processes video files or webcam streams to detect and track objects like people and cars across frames.

Use cases

• track people in a video with yolo
• count cars passing in traffic footage
• detect and track objects in webcam stream
• run object tracking on cctv video
• convert yolov4 weights to tensorflow model
• multi-object tracking with deepsort

When to choose

• you need a ready-to-run YOLOv4 + Deep SORT pipeline in TensorFlow
• you want to track people or vehicles in video files or webcam feeds
• you want to use pre-trained YOLOv4 weights without training your own model

When to avoid

• you need real-time tracking on edge devices with minimal compute
• you want the latest YOLO versions or PyTorch-based tracking
• you need a maintained production system rather than a reference implementation

Facets

library · maturity maintenance

computer-vision machine-learning deep-learning image-processing computer-vision machine-learning deep-learning python cross-platform object-tracking object-detection yolov4 deepsort tensorflow video-analytics gpu

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