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
Deep learning models for change detection of remote sensing images

Change Detection Models (Remote Sensing) Python library with Neural Networks for Change Detection based on PyTorch. ⚡ ⚡ ⚡ I am trying to build this pr

Kaiyu Li 176 Dec 24, 2022
code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

Facebook Research 94 Oct 26, 2022
Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.

NN Template Generic template to bootstrap your PyTorch project. Click on Use this Template and avoid writing boilerplate code for: PyTorch Lightning,

Luca Moschella 520 Dec 30, 2022
Portfolio asset allocation strategies: from Markowitz to RNNs

Portfolio asset allocation strategies: from Markowitz to RNNs Research project to explore different approaches for optimal portfolio allocation starti

Luigi Filippo Chiara 1 Feb 05, 2022
Deepfake Scanner by Deepware.

Deepware Scanner (CLI) This repository contains the command-line deepfake scanner tool with the pre-trained models that are currently used at deepware

deepware 110 Jan 02, 2023
[arXiv22] Disentangled Representation Learning for Text-Video Retrieval

Disentangled Representation Learning for Text-Video Retrieval This is a PyTorch implementation of the paper Disentangled Representation Learning for T

Qiang Wang 49 Dec 18, 2022
Matthew Colbrook 1 Apr 08, 2022
A hobby project which includes a hand-gesture based virtual piano using a mobile phone camera and OpenCV library functions

Overview This is a hobby project which includes a hand-gesture controlled virtual piano using an android phone camera and some OpenCV library. My moti

Abhinav Gupta 1 Nov 19, 2021
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset

Ego4D EGO4D is the world's largest egocentric (first person) video ML dataset and benchmark suite, with 3,600 hrs (and counting) of densely narrated v

Meta Research 118 Jan 07, 2023
Fully convolutional deep neural network to remove transparent overlays from images

Fully convolutional deep neural network to remove transparent overlays from images

Marc Belmont 1.1k Jan 06, 2023
A library that allows for inference on probabilistic models

Bean Machine Overview Bean Machine is a probabilistic programming language for inference over statistical models written in the Python language using

Meta Research 234 Dec 29, 2022
Simulation of moving particles under microscopic imaging

Simulation of moving particles under microscopic imaging Install scipy numpy scikit-image tiffile Run python simulation.py Read result https://imagej

Zehao Wang 2 Dec 14, 2021
Explainability for Vision Transformers (in PyTorch)

Explainability for Vision Transformers (in PyTorch) This repository implements methods for explainability in Vision Transformers

Jacob Gildenblat 442 Jan 04, 2023
The official homepage of the COCO-Stuff dataset.

The COCO-Stuff dataset Holger Caesar, Jasper Uijlings, Vittorio Ferrari Welcome to official homepage of the COCO-Stuff [1] dataset. COCO-Stuff augment

Holger Caesar 715 Dec 31, 2022
A simple Python library for stochastic graphical ecological models

What is Viridicle? Viridicle is a library for simulating stochastic graphical ecological models. It implements the continuous time models described in

Theorem Engine 0 Dec 04, 2021
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

LSTMs for Human Activity Recognition Human Activity Recognition (HAR) using smartphones dataset and an LSTM RNN. Classifying the type of movement amon

Guillaume Chevalier 3.1k Dec 30, 2022
Highway networks implemented in PyTorch.

PyTorch Highway Networks Highway networks implemented in PyTorch. Just the MNIST example from PyTorch hacked to work with Highway layers. Todo Make th

Conner Vercellino 56 Dec 14, 2022
MODNet: Trimap-Free Portrait Matting in Real Time

MODNet is a model for real-time portrait matting with only RGB image input.

Zhanghan Ke 2.8k Dec 30, 2022
Unsupervised Video Interpolation using Cycle Consistency

Unsupervised Video Interpolation using Cycle Consistency Project | Paper | YouTube Unsupervised Video Interpolation using Cycle Consistency Fitsum A.

NVIDIA Corporation 100 Nov 30, 2022
Python scripts for performing stereo depth estimation using the HITNET Tensorflow model.

HITNET-Stereo-Depth-estimation Python scripts for performing stereo depth estimation using the HITNET Tensorflow model from Google Research. Stereo de

Ibai Gorordo 76 Jan 02, 2023