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bytetracker

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A high-performance multi-object tracking system utilizing a quantized YOLOv11 model deployed on the Triton Inference Server, integrated with a CUDA-accelerated particle filter for robust tracking mutiple objects.

  • Updated Dec 30, 2024
  • C++

In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).

  • Updated Jan 16, 2024
  • Jupyter Notebook

This demo is a simple software that I created using my studies and courses. It's designed for real-time object detection and tracking in video streams, using YOLOv8 for detection and ByteTrack for multi-object tracking. It is suitable for tracking objects in video footage, and can run on both GPU and CPU.

  • Updated May 9, 2025
  • Python

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