P2Loc

This repository is the official PyTorch implementation of the P2Loc reported in the paper:
P2-Loc: A Person-2-Person Indoor Localization System in On-Demand Delivery.

Installation

Requirements: Python >= 3.5, Anaconda3

• Update conda:

conda update -n base -c defaults conda

• Install basic dependencies to virtual environment and activate it:

conda env create -f environment.yml
conda activate degnn-env

• Install PyTorch >= 1.4.0 and torch-geometric >= 1.5.0

conda install pytorch=1.4.0 torchvision cudatoolkit=10.1 -c pytorch
pip install torch-scatter==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip install torch-sparse==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip install torch-cluster==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip install torch-spline-conv==latest+cu101 -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip install torch-geometric

The latest tested combination is: Python 3.8.2 + Pytorch 1.4.0 + torch-geometric 1.5.0.

Quick Start

python main.py