Calibration Model

Project Overview

This project focuses on a calibration model designed to enhance the accuracy and performance of indoor localization. The primary tool used is a transformer-based approach implemented in Python via Jupyter Notebook.

Instructions

1. Enter the Folder:

   • Navigate to the folder R403.

2. Run the Notebook:

   • Open the file transformer-upload.ipynb within the folder.
   • Follow the instructions provided in the notebook to execute the calibration model.

Requirements

Make sure to have the following installed:

• Python 3.9
• Jupyter Notebook
• torch 1.11.0
• numpy
• matplotlib
• sklearn
• spicy