tiled

This document provides information on two distinct projects: Tiled Map Editor, a versatile tile map editor for game development, and Mitsuba 3, a research-oriented rendering system. Both offer detailed instructions for installation, compilation, and usage, along with explanations of their core features and functionalities. The information below details these tools separately.

Tiled Map Editor - https://www.mapeditor.org/

About Tiled

Tiled is a general purpose tile map editor for all tile-based games, such as

RPGs, platformers or Breakout clones.

Tiled is highly flexible. It can be used to create maps of any size, with no

restrictions on tile size, or the number of layers or tiles that can be used.

Maps, layers, tiles, and objects can all be assigned arbitrary properties.

Tiled's map format (TMX) is easy to understand and allows multiple tilesets to

be used in any map. Tilesets can be modified at any time.

Installing Tiled

Tiled is available for all major operating systems and can be downloaded either

from GitHub Releases or from

itch.io. Most Linux distributions also

package Tiled, but these packages are usually out of date so you might prefer

to use the AppImage or install Tiled through

Flatpak or

snap, both of which are official releases.

Signed Releases for macOS and Windows

macOS builds are signed by the maintainer, Thorbjørn Lindeijer, who registered

as Apple Developer.

Windows installers are using free code signing provided by

SignPath.io,

and a free code signing certificate by the

SignPath Foundation.

Compiling Tiled

Before you can compile Tiled, you must ensure the Qt (>= 5.12) development

libraries have been installed as well as the Qbs build tool:

If you want to build the Python plugin, you additionally need to install the

Python 3 development libraries:

Alternatively, you can download Qt here.

You will still need to install a development environment alongside and some

libraries depending on your system, for example:

The easiest way to compile and run Tiled is to open tiled.qbs in Qt Creator

and run the project from there.

From the command-line, you may need to set up Qbs before you can build Tiled

(you will also need to make sure the version of Qt you want to use is in your

path):

You can now run Tiled as follows:

Qt 6

For compiling libtiledquick (not built by default) you'll need to install the

Vulkan headers:

Working with Visual Studio 2017

Once Qbs is set up (see previous instructions), it is possible to generate a

Visual Studio 2017 project with it that allows you to code, compile and run

using that IDE. This can be done with the following command:

Installing Self-Compiled Tiled

To install Tiled, run qbs install from the terminal. By default, Tiled will

be installed to

/install-root.

The installation prefix can be changed when building Tiled. For example, to use

an installation prefix of /usr:

To install Tiled to a packaging directory:

By default, Tiled and its plugins are compiled with an Rpath that allows them

to find the shared libtiled library immediately after being compiled. When

packaging Tiled for distribution, the Rpath should be disabled by appending

projects.Tiled.useRPaths:false to the qbs command.

Mitsuba Renderer 3

Documentation	Tutorial videos	Linux	MacOS	Windows	PyPI

️

Warning

️

There currently is a large amount of undocumented and unstable work going on in

the master branch. We'd highly recommend you use our

latest release

until further notice.

If you already want to try out the upcoming changes, please have a look at

this porting guide.

It should cover most of the new features and breaking changes that are coming.

Introduction

Mitsuba 3 is a research-oriented rendering system for forward and inverse light

transport simulation developed at EPFL in Switzerland.

It consists of a core library and a set of plugins that implement functionality

ranging from materials and light sources to complete rendering algorithms.

Mitsuba 3 is retargetable: this means that the underlying implementations and

data structures can transform to accomplish various different tasks. For

example, the same code can simulate both scalar (classic one-ray-at-a-time) RGB transport

or differential spectral transport on the GPU. This all builds on

Dr.Jit, a specialized just-in-time(JIT) compiler developed specifically for this project.

Main Features

• Cross-platform: Mitsuba 3 has been tested on Linux (x86_64), macOS

  (aarch64, x8664), and Windows (x8664).

• High performance: The underlying Dr.Jit compiler fuses rendering code

  into kernels that achieve state-of-the-art performance using

  an LLVM backend targeting the CPU and a CUDA/OptiX backend

  targeting NVIDIA GPUs with ray tracing hardware acceleration.

• Python first: Mitsuba 3 is deeply integrated with Python. Materials,

  textures, and even full rendering algorithms can be developed in Python,

  which the system JIT-compiles (and optionally differentiates) on the fly.

  This enables the experimentation needed for research in computer graphics and

  other disciplines.

• Differentiation: Mitsuba 3 is a differentiable renderer, meaning that it

  can compute derivatives of the entire simulation with respect to input

  parameters such as camera pose, geometry, BSDFs, textures, and volumes. It

  implements recent differentiable rendering algorithms developed at EPFL.

• Spectral & Polarization: Mitsuba 3 can be used as a monochromatic

  renderer, RGB-based renderer, or spectral renderer. Each variant can

  optionally account for the effects of polarization if desired.

Tutorial videos, documentation

We've recorded several YouTube videos that provide a gentle introduction

Mitsuba 3 and Dr.Jit. Beyond this you can find complete Juypter notebooks

covering a variety of applications, how-to guides, and reference documentation

on readthedocs.

Installation

We provide pre-compiled binary wheels via PyPI. Installing Mitsuba this way is as simple as running

pip install mitsuba

on the command line. The Python package includes thirteen variants by default:

• scalar_rgb

• scalar_spectral

• scalarspectralpolarized

• llvmadrgb

• llvmadmono

• llvmadmono_polarized

• llvmadspectral

• llvmadspectral_polarized

• cudaadrgb

• cudaadmono

• cudaadmono_polarized

• cudaadspectral

• cudaadspectral_polarized

The first two perform classic one-ray-at-a-time simulation using either a RGB

or spectral color representation, while the latter two can be used for inverse

rendering on the CPU or GPU. To access additional variants, you will need to

compile a custom version of Dr.Jit using CMake. Please see the

documentation

for details on this.

Requirements

• Python >= 3.8

• (optional) For computation on the GPU: Nvidia driver >= 495.89

• (optional) For vectorized / parallel computation on the CPU: LLVM >= 11.1

Usage

Here is a simple "Hello World" example that shows how simple it is to render a

scene using Mitsuba 3 from Python:

# Import the library using the alias "mi"import mitsuba as mi# Set the variant of the renderermi.setvariant('scalarrgb')# Load a scenescene = mi.loaddict(mi.cornellbox())# Render the sceneimg = mi.render(scene)# Write the rendered image to an EXR filemi.Bitmap(img).write('cbox.exr')

Tutorials and example notebooks covering a variety of applications can be found

in the documentation.

About

This project was created by Wenzel Jakob.

Significant features and/or improvements to the code were contributed by

Sébastien Speierer,

Nicolas Roussel,

Merlin Nimier-David,

Delio Vicini,

Tizian Zeltner,

Baptiste Nicolet,

Miguel Crespo,

Vincent Leroy, and

Ziyi Zhang.

When using Mitsuba 3 in academic projects, please cite:

@software{Mitsuba3,title = {Mitsuba 3 renderer},author = {Wenzel Jakob and Sébastien Speierer and Nicolas Roussel and Merlin Nimier-David and Delio Vicini and Tizian Zeltner and Baptiste Nicolet and Miguel Crespo and Vincent Leroy and Ziyi Zhang},note = {https://mitsuba-renderer.org},version = {3.1.1},year = 2022}