A python library to artfully visualize Factorio Blueprints and an interactive web demo for using it.

Overview

Factorio Blueprint Visualizer

I love the game Factorio and I really like the look of factories after growing for many hours or blueprints after tweaking them for perfection. So I thought about visualizing the factories and blueprints.

All factorio buildings with their bounding boxes and belt, pipe, inserter, wire and electricity connections can be visualized. Everything is drawn in vector graphics (SVG) to be able to view it in any resolution.

The hardest part was writing the logic for connecting rails, belts and pipes. After many failed attempts with lots of bugs, I wrote a system that works pretty well. The next step was, to be able to be creative with drawing different connections and bounding boxes of buildings. Therefor, I created configurable drawing settings to experiment with and a random draw settings generator. After some tweaking, I got nice visualizations. To make the visualization tool easily accessible, I created an online demo that uses the original python code with pyodide in the browser (that's why the website might take some time to load) and an easy-to-use notebook.

Examples

The last three blueprints are by Josh Ventura and can be found here.

Usage

You can visualize your own blueprint with random drawing settings at: https://piebro.github.io/factorio-blueprint-visualizer (You can use the arrow keys for going through the visualization). You can use the notebook, if you want to create your own drawing settings or tinker some more. For an easy setup, you can open the example notebook in colab or binder. You can find many blueprints at: https://factorioprints.com.

Open In Colab Binder

Drawing Settings

To visualize a blueprint you need drawing settings that define what is drawn, in which order and in what kind of style. Drawing settings are a list of option that are executed one after the other. You can decide which bounding box to draw with an allow or deny list of building names. You can also draw connected belt, underground-belts, pipes, underground-pipes, inserter, rail, electricity, red-circuits and green-circuits.

Furthermore, you can define the style of each drawing command or set a new default drawing style. You can use fill, stroke, stroke-width, stroke-linecap, stroke-opacity, fill-opacity, bbox-scale, bbox-rx and bbox-ry as properties and every SVG tag should also work.

Every visualization has the used drawing settings and blueprint saved with it, so you can check out the drawing settings of the examples blueprints inspiration.

Pen Plotting

I have a pen plotter, and one of my initial ideas was also to be able to plot my factories. You can create visualizations you can easily draw. I recommend using https://github.com/abey79/vpype for merging lines together before plotting. An example of a visualization for plotting is here:

verilog2factorio

It's possible to use https://github.com/redcrafter/verilog2factorio to create factorio verilog blueprints and visualize the buildings and wire connections like this.

Convert to PNGs

To easily convert all SVGs in a folder, you can use a terminal and Inkscape like this. mkdir pngs; for f in *.svg; do inkscape -w 1000 "$f" -e "pngs/${f::-3}png"; done

Contribute

Contributions to this project are welcome. Feel free to report bugs or post ideas you have.

To update the python code for the website, you have to update the python wheel in the website folder. To update it, just run: python setup.py bdist_wheel --universal --dist-dir=website

Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs

Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs MATLAB implementation of the paper: P. Mercado, F. Tudisco, and M. Hein,

Pedro Mercado 6 May 26, 2022
Transformer based SAR image despeckling

Transformer based SAR image despeckling Using the code: The code is stable while using Python 3.6.13, CUDA =10.1 Clone this repository: git clone htt

27 Nov 13, 2022
VGGFace2-HQ - A high resolution face dataset for face editing purpose

The first open source high resolution dataset for face swapping!!! A high resolution version of VGGFace2 for academic face editing purpose

Naiyuan Liu 232 Dec 29, 2022
A robust pointcloud registration pipeline based on correlation.

PHASER: A Robust and Correspondence-Free Global Pointcloud Registration Ubuntu 18.04+ROS Melodic: Overview Pointcloud registration using correspondenc

ETHZ ASL 101 Dec 01, 2022
To propose and implement a multi-class classification approach to disaster assessment from the given data set of post-earthquake satellite imagery.

To propose and implement a multi-class classification approach to disaster assessment from the given data set of post-earthquake satellite imagery.

Kunal Wadhwa 2 Jan 05, 2022
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality Detection

Effect of Deep Transfer and Multi task Learning on Sperm Abnormality Detection Introduction This repository includes codes and models of "Effect of De

Amir Abbasi 5 Sep 05, 2022
This repository contains the code for using the H3DS dataset introduced in H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction

H3DS Dataset This repository contains the code for using the H3DS dataset introduced in H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction Access

Crisalix 72 Dec 10, 2022
Official page of Struct-MDC (RA-L'22 with IROS'22 option); Depth completion from Visual-SLAM using point & line features

Struct-MDC (click the above buttons for redirection!) Official page of "Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural R

Urban Robotics Lab. @ KAIST 37 Dec 22, 2022
Scalable Graph Neural Networks for Heterogeneous Graphs

Neighbor Averaging over Relation Subgraphs (NARS) NARS is an algorithm for node classification on heterogeneous graphs, based on scalable neighbor ave

Facebook Research 67 Dec 03, 2022
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf] The official repository for Self-Supervised Pre-Training for Transfo

Hao Luo 116 Jan 04, 2023
An easy way to build PyTorch datasets. Modularly build datasets and automatically cache processed results

EasyDatas An easy way to build PyTorch datasets. Modularly build datasets and automatically cache processed results Installation pip install git+https

Ximing Yang 4 Dec 14, 2021
Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

NBFNet: Neural Bellman-Ford Networks This is the official codebase of the paper Neural Bellman-Ford Networks: A General Graph Neural Network Framework

MilaGraph 136 Dec 21, 2022
Causal estimators for use with WhyNot

WhyNot Estimators A collection of causal inference estimators implemented in Python and R to pair with the Python causal inference library whynot. For

ZYKLS 8 Apr 06, 2022
Pytorch implementation of Generative Models as Distributions of Functions 🌿

Generative Models as Distributions of Functions This repo contains code to reproduce all experiments in Generative Models as Distributions of Function

Emilien Dupont 117 Dec 29, 2022
Deep learning toolbox based on PyTorch for hyperspectral data classification.

Deep learning toolbox based on PyTorch for hyperspectral data classification.

Nicolas 304 Dec 28, 2022
Generative Modelling of BRDF Textures from Flash Images [SIGGRAPH Asia, 2021]

Neural Material Official code repository for the paper: Generative Modelling of BRDF Textures from Flash Images [SIGGRAPH Asia, 2021] Henzler, Deschai

Philipp Henzler 80 Dec 20, 2022
[CVPR 2021 Oral] ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis [arxiv|pdf|v

Yinan He 78 Dec 22, 2022
Sound Event Detection with FilterAugment

Sound Event Detection with FilterAugment Official implementation of Heavily Augmented Sound Event Detection utilizing Weak Predictions (DCASE2021 Chal

43 Aug 28, 2022
As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

HAKE-Action HAKE-Action (TensorFlow) is a project to open the SOTA action understanding studies based on our Human Activity Knowledge Engine. It inclu

Yong-Lu Li 94 Nov 18, 2022
[ICML 2020] DrRepair: Learning to Repair Programs from Error Messages

DrRepair: Learning to Repair Programs from Error Messages This repo provides the source code & data of our paper: Graph-based, Self-Supervised Program

Michihiro Yasunaga 155 Jan 08, 2023