Skip to content

README.md

Latest commit

 

History

History
22 lines (19 loc) · 812 Bytes

README.md

File metadata and controls

22 lines (19 loc) · 812 Bytes
Raw

Unattended Luggage Detection

This project aims to detect unattended luggage in airports and other public places. The project is implemented using YOLOv8 object and MiDaS for depth estimation.

Requirements

  • Python 3.10 or later
  • Torch 2.4.0

Installation

  1. Clone the repository
  2. Install the required packages using the following command:
pip install -r requirements.txt
  1. If you have Nvidia GPU, make sure to install CUDA and a supported Torch version

Usage

Run the main.py file to start the application. Make sure to modify the main.py file to give it a path to a video to process. You can do this by modifiying the following line:

video_path = "path/to/video.mp4"