perses

Assess damage of buildings.

Table of Contents

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

You will need python3 and pip3 installed on your machine. You can install it from the official website https://www.python.org/.

To install pytorch with CUDA support, conda is recommended. An installation guide is available in the conda docs: https://docs.conda.io/projects/conda/en/latest/user-guide/install/

Initial setup

A step by step series of examples that tell you how to get the project up and running.

Clone the git repository

git clone https://github.com/intelligenerator/perses.git
cd perses
git submodule init
git config submodule.recurse true
git submodule update --init --recursive

Then create your conda virtual environment

conda create --name torch
conda activate torch

Next, installed the required packages. This may vary based on your system hardware and requirements. Read more about pytorch installation: https://pytorch.org/get-started/locally/

conda install pytorch torchvision cudatoolkit=10.2 -c pytorch

To exit the virtual environment run

conda deactivate

Happy coding!

Usage

Open the dnet.ipynb notebook in jupyter lab to start experimenting or to train your own model.

Explainable AI

Perses comes with an explainable AI notebook. This notebook uses Captum to interpret the perses model.

To run the notebook and inspect the model behind perses, you must first install captum in your conda environment. See the captum docs for more information.

conda activate torch
conda install captum -c pytorch

You can now open the notebook in jupyter lab to interpret perses!

Contributing

Please read CONTRIBUTING.md and CODE_OF_CONDUCT.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

Boldizsar Zopcsak - BoldizsarZopcsak

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments