YOLOv9 Traffic Analysis with UltraLytics

This repository contains a computer vision project focused on basic traffic analysis using YOLOv9 for object detection and the UltraLytics library for tracking and counting vehicles in a traffic scene. The project provides a straightforward solution for monitoring traffic flow and counting vehicles passing through a defined area.

Overview

This repository contains a computer vision project focused on basic traffic analysis using YOLOv9 for object detection and the UltraLytics library for tracking and counting vehicles in a traffic scene. The project aims to provide a simple yet effective solution for monitoring traffic flow and counting vehicles passing through a defined area.

Requirements

1.Python 3.x

2.PyTorch (>=1.7.1)

3.OpenCV (cv2)

4.UltraLytics library