Qidian213/deep_sort_yolov3
Real-time multi-person tracker combining YOLOv3 object detection with deep_sort re-identification.
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This project implements multi-person tracking by combining YOLOv3 object detection with deep_sort tracking algorithms. YOLOv3 provides frame-by-frame object detection while deep_sort uses deep metric learning to maintain consistent identity assignments across frames. The system supports real-time multi-person tracking for pedestrians and other COCO classes, with optional camera input for testing.
Frequently asked
- What is Qidian213/deep_sort_yolov3?
- Real-time multi-person tracker combining YOLOv3 object detection with deep_sort re-identification.
- Is deep_sort_yolov3 open source?
- Yes — Qidian213/deep_sort_yolov3 is open source, released under the GPL-3.0 license.
- What language is deep_sort_yolov3 written in?
- Qidian213/deep_sort_yolov3 is primarily written in Python.
- How popular is deep_sort_yolov3?
- Qidian213/deep_sort_yolov3 has 1.7k stars on GitHub.
- Where can I find deep_sort_yolov3?
- Qidian213/deep_sort_yolov3 is on GitHub at https://github.com/Qidian213/deep_sort_yolov3.