pedestrian-tracking

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Acknowledgments

About The Project

This project is a part of the AI Vietnam - All-in-One 2023 course. The aim of the project is implementing an object tracking model using YOLO v8 and DeepSORT. The YOLO was used as object detection module while the DeepSORT acted as the object tracking module. The model was trained using the MOT17 challenge dataset: https://motchallenge.net/data/MOT17/

Built With

• [![PyTorch][https://pytorch.org/]

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Getting Started

Prerequisites

• ultralytics

  pip install ultralytics

• Deep SORT

  git clone https://github.com/wjnwjn59/deep_sort.git

Installation

Clone the repo

git clone https://github.com/vulong1503/pedestrian_tracking.git

Acknowledgments

• [AI VIETNAM] (https://aivietnam.edu.vn/)
• Ultralytics
• Deep SORT
• MOT Challenge

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