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

[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation

[ECCV20] Content-Consistent Matching for Domain Adaptive Semantic Segmentation This is a PyTorch implementation of CCM. News: GTA-4K list is available

Guangrui Li 88 Aug 25, 2022
A light weight data augmentation tool for training CNNs and Viola Jones detectors

hey-daug A light weight data augmentation tool for training CNNs and Viola Jones detectors (Haar Cascades). This tool inflates your data by up to six

Jaiyam Sharma 2 Nov 23, 2019
1st Solution For ICDAR 2021 Competition on Mathematical Formula Detection

This project releases our 1st place solution on ICDAR 2021 Competition on Mathematical Formula Detection. We implement our solution based on MMDetection, which is an open source object detection tool

yuxzho 94 Dec 25, 2022
A light-weight image labelling tool for Python designed for creating segmentation data sets.

An image labelling tool for creating segmentation data sets, for Django and Flask.

117 Nov 21, 2022
Pytorch implementation of our paper LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION.

LiMuSE Overview Pytorch implementation of our paper LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION. LiMuSE explores group communication on a multi

Auditory Model and Cognitive Computing Lab 17 Oct 26, 2022
Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"

forward-thinking-pytorch Pytorch implementation of Forward Thinking: Building and Training Neural Networks One Layer at a Time Requirements Python 2.7

Kim Heecheol 65 Oct 06, 2022
Face recognition project by matching the features extracted using SIFT.

MV_FaceDetectionWithSIFT Face recognition project by matching the features extracted using SIFT. By : Aria Radmehr Professor : Ali Amiri Dependencies

Aria Radmehr 4 May 31, 2022
This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

OpenVINO Inference API This is a repository for an object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operati

BMW TechOffice MUNICH 68 Nov 24, 2022
Implementation of ReSeg using PyTorch

Implementation of ReSeg using PyTorch ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation Pascal-Part Annotations Pascal VOC 2010

Onur Kaplan 46 Nov 23, 2022
This is the repository for paper NEEDLE: Towards Non-invertible Backdoor Attack to Deep Learning Models.

This is the repository for paper NEEDLE: Towards Non-invertible Backdoor Attack to Deep Learning Models.

1 Oct 25, 2021
DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

DeepConsensus DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS)

Google 149 Dec 19, 2022
Official repo for the work titled "SharinGAN: Combining Synthetic and Real Data for Unsupervised GeometryEstimation"

SharinGAN Official repo for the work titled "SharinGAN: Combining Synthetic and Real Data for Unsupervised GeometryEstimation" The official project we

Koutilya PNVR 23 Oct 19, 2022
Exploring the Dual-task Correlation for Pose Guided Person Image Generation

Dual-task Pose Transformer Network The source code for our paper "Exploring Dual-task Correlation for Pose Guided Person Image Generation“ (CVPR2022)

63 Dec 15, 2022
kullanışlı ve işinizi kolaylaştıracak bir araç

Hey merhaba! işte çok sorulan sorularının cevabı ve sorunlarının çözümü; Soru= İçinde var denilen birçok şeyi göremiyorum bunun sebebi nedir? Cevap= B

Sexettin 16 Dec 17, 2022
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

13 Dec 22, 2022
Universal Probability Distributions with Optimal Transport and Convex Optimization

Sylvester normalizing flows for variational inference Pytorch implementation of Sylvester normalizing flows, based on our paper: Sylvester normalizing

Rianne van den Berg 172 Dec 13, 2022
Facial Expression Detection In The Realtime

The human's facial expressions is very important to detect thier emotions and sentiment. It can be very efficient to use to make our computers make interviews. Furthermore, we have robots now can det

Adel El-Nabarawy 4 Mar 01, 2022
A collection of inference modules for fastai2

fastinference A collection of inference modules for fastai including inference speedup and interpretability Install pip install fastinference There ar

Zachary Mueller 83 Oct 10, 2022
A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maximum bidding

Business Problem A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maxim

Kübra Bilinmiş 1 Jan 15, 2022
Markov Attention Models

Introduction This repo contains code for reproducing the results in the paper Graphical Models with Attention for Context-Specific Independence and an

Vicarious 0 Dec 09, 2021