manish-sharma-attri/yolov8_deepsort

contains code and instruction for merge Yolov8 with deepsort

Introduction

This project integrates the powerful YOLOv8 object detection model with the DeepSort algorithm for real-time object tracking. Whether you are working on surveillance systems, autonomous driving, or any application that requires accurate tracking of multiple objects, this repository provides a robust solution.

Features

• Real-time Object Detection: Utilizing YOLOv8 for high-speed and accurate detection.
• Multiple Object Tracking: DeepSort algorithm ensures reliable tracking of multiple objects.
• Easy Integration: Designed to be easily integrated into existing projects.
• Customizable: Parameters and models can be fine-tuned for specific use cases.

Installation

1. Clone the repository:

   git clone https://github.com/manish-sharma-attri/yolov8_deepsort.git
   cd yolov8_deepsort

2. Install the required packages:

   pip install -r requirements.txt

output