Sharpiless/Yolov5-Deepsort
Real-time object detection and multi-object tracking system combining YOLOv5 and DeepSORT algorithms.
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This project implements vehicle and pedestrian detection and tracking using YOLOv5 for object detection combined with DeepSORT for multi-object tracking across video frames. The implementation wraps the detection logic into a reusable Detector class that can be easily embedded into other projects. It uses PyTorch for model inference and supports GPU acceleration when available.
Frequently asked
- What is Sharpiless/Yolov5-Deepsort?
- Real-time object detection and multi-object tracking system combining YOLOv5 and DeepSORT algorithms.
- Is Yolov5-Deepsort open source?
- Yes — Sharpiless/Yolov5-Deepsort is open source, released under the GPL-3.0 license.
- What language is Yolov5-Deepsort written in?
- Sharpiless/Yolov5-Deepsort is primarily written in Python.
- How popular is Yolov5-Deepsort?
- Sharpiless/Yolov5-Deepsort has 1.2k stars on GitHub.
- Where can I find Yolov5-Deepsort?
- Sharpiless/Yolov5-Deepsort is on GitHub at https://github.com/Sharpiless/Yolov5-Deepsort.