A tool for making map images from OpenTTD save games

Overview

OpenTTD Surveyor

A tool for making map images from OpenTTD save games. This is not part of the main OpenTTD codebase, nor is it ever intended to be part of it. This project was written in python to parse save game files to make maps. At the time of writing, it only supports save files up to version 34.

Installation

Install pycairo https://pycairo.readthedocs.io/en/latest/getting_started.html

On a mac you can do:

> brew install cairo pkg-config

Create a virtualenv and install the requirements:

> python3 -m venv venv
> source venv/bin/activate
> pip install --upgrade pip
> pip install -r requirements.txt

Then clone the repo and change dir:

> git clone [email protected]:aidansean/OpenTTD_surveyor.git
> cd OpenTTD_surveyor

Use

Then you should be able to use the tool to make some maps!

Make a png map of the tutorial map:

> python src/run.py -m png -v -i example_saves/Tutorial.sav

Make an svg map of the tutorial map in dark mode:

> python src/run.py -m svg -v -d -i example_saves/Tutorial.sav

Docker

You can also use docker to run the tool to avoid installing dependencies on your host PC (instead you need to "only" install docker).

Follow the relevant instructions to install docker on your system: https://docs.docker.com/engine/install/

Clone the repo and change dir as mentioned above.

Build the docker image:

docker build . -t openttd_surveyor

And run the tool:

docker run --rm -v "${PWD}/example_saves":/save -v "${PWD}/example_images":/image openttd_surveyor -m png -v -o /image -i "/save/tiny.sav"

Change ${PWD}/example_saves to the location of your savegames and ${PWD}/example_images to the location you want to output the images.

Questions

It takes ages to generate a map for a very large save game.

Yes, it will do. You can use the -p option to show progress bars and -v option to give verbose output, and find out where it's taking a long time.

Can I use this on Windows?

I don't have a Windows machine, so I can't help with that, I'm afraid. Anywhere you can use python and can install cairo should work.

Will it work with this really cool extension I'm using?

Yes. No. Maybe. I don't know. Can you repeat the question? Try it and find out!

I'm colour blind. Can you make it more colour blind friendly?

Maybe... Pretty much all the colours are specified in the config files, so you should be able to change the colours there to something more friendly.

This repo is poorly coded and the maps are buggy!

Probably. Help out by forking it and opening a PR :)

Screenshots

Here's the sort of thing it can do:

Normal mode example

Normal mode example

Dark mode example

Owner
Aidan Randle-Conde
Former high energy physicist who codes to solve problems for fun
Aidan Randle-Conde
Blender add-on: Add to Cameras menu: View → Camera, View → Add Camera, Camera → View, Previous Camera, Next Camera

Blender add-on: Camera additions In 3D view, it adds these actions to the View|Cameras menu: View → Camera : set the current camera to the 3D view Vie

German Bauer 11 Feb 08, 2022
Kinetics-Data-Preprocessing

Kinetics-Data-Preprocessing Kinetics-400 and Kinetics-600 are common video recognition datasets used by popular video understanding projects like Slow

Kaihua Tang 7 Oct 27, 2022
Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

Space-Time Correspondence as a Contrastive Random Walk This is the repository for Space-Time Correspondence as a Contrastive Random Walk, published at

A. Jabri 239 Dec 27, 2022
Deep Sea Treasure Environment for Multi-Objective Optimization Research

DeepSeaTreasure Environment Installation In order to get started with this environment, you can install it using the following command: python3 -m pip

imec IDLab 6 Nov 14, 2022
Liecasadi - liecasadi implements Lie groups operation written in CasADi

liecasadi liecasadi implements Lie groups operation written in CasADi, mainly di

Artificial and Mechanical Intelligence 14 Nov 05, 2022
🛰️ List of earth observation companies and job sites

Earth Observation Companies & Jobs source Portals & Jobs Geospatial Geospatial jobs newsletter: ~biweekly newsletter with geospatial jobs by Ali Ahmad

Dahn 64 Dec 27, 2022
DyNet: The Dynamic Neural Network Toolkit

The Dynamic Neural Network Toolkit General Installation C++ Python Getting Started Citing Releases and Contributing General DyNet is a neural network

Chris Dyer's lab @ LTI/CMU 3.3k Jan 06, 2023
Codebase for "ProtoAttend: Attention-Based Prototypical Learning."

Codebase for "ProtoAttend: Attention-Based Prototypical Learning." Authors: Sercan O. Arik and Tomas Pfister Paper: Sercan O. Arik and Tomas Pfister,

47 2 May 17, 2022
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

NuPIC Numenta Platform for Intelligent Computing The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implem

Numenta 6.3k Dec 30, 2022
An end-to-end implementation of intent prediction with Metaflow and other cool tools

You Don't Need a Bigger Boat An end-to-end (Metaflow-based) implementation of an intent prediction flow for kids who can't MLOps good and wanna learn

Jacopo Tagliabue 614 Dec 31, 2022
M3DSSD: Monocular 3D Single Stage Object Detector

M3DSSD: Monocular 3D Single Stage Object Detector Setup pytorch 0.4.1 Preparation Download the full KITTI detection dataset. Then place a softlink (or

mumianyuxin 64 Dec 27, 2022
Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks

OnsagerNet Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks This is the original pyTorch implemenati

Haijun.Yu 3 Aug 24, 2022
Adjust Decision Boundary for Class Imbalanced Learning

Adjusting Decision Boundary for Class Imbalanced Learning This repository is the official PyTorch implementation of WVN-RS, introduced in Adjusting De

Peyton Byungju Kim 16 Jan 04, 2023
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come

Pytorch Squeeznet Pytorch implementation of Squeezenet model as described in https://arxiv.org/abs/1602.07360 on cifar-10 Data. The definition of Sque

gaurav pathak 86 Oct 28, 2022
In this work, we will implement some basic but important algorithm of machine learning step by step.

WoRkS continued English 中文 Français Probability Density Estimation-Non-Parametric Methods(概率密度估计-非参数方法) 1. Kernel / k-Nearest Neighborhood Density Est

liziyu0104 1 Dec 30, 2021
[ICCV '21] In this repository you find the code to our paper Keypoint Communities

Keypoint Communities In this repository you will find the code to our ICCV '21 paper: Keypoint Communities Duncan Zauss, Sven Kreiss, Alexandre Alahi,

Duncan Zauss 262 Dec 13, 2022
利用Tensorflow实现基于CNN的中文短文本分类

Text Classification with CNN 使用卷积神经网络进行中文文本分类 CNN做句子分类的论文可以参看: Convolutional Neural Networks for Sentence Classification 还可以去读dennybritz大牛的博客:Implemen

Jeremiah 4 Nov 08, 2022
PyTorch implementation of paper "StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement" (ICCV 2021 Oral)

StarEnhancer StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement (ICCV 2021 Oral) Abstract: Image enhancement is a subjective process w

IDKiro 133 Dec 28, 2022
Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method

C++/ROS Source Codes for "Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method" published in IEEE Trans. Intelligent Transportation Systems

Bai Li 88 Dec 23, 2022
MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images

MAg Paper Abstract File structure Dataset prepare Data description How to use MAg? Why not try the MAg_lib! Trained models Experiment and results Some

Calvin Pang 3 Apr 08, 2022