Lichtenberg

Lichtenberg is a collection of example implementations of Dielectric Breakdown represents Lichtenberg Figure like thunder and lightning.

• DBM(Dielectric Breakdown Model) - Paper
• Fast DBM - Paper
• DLA(Diffusion-limited aggregation) - Paper
• Uniform Probability Model - URL
• ValueNoise Probability Model
• Probability from Image

The source code of the core algorithm are implemented in C++. Examples are written in Python(via Pybind11).

Prerequisites

• Python 3.7 or later
• C++ Compiler supports C++17
  • for Windows: Visual Studio 2019 is confirmed
  • for Linux(Mac): gcc 9.3 is confirmed
• CMake 3.1 or later
• Pybind11
• Pillow
• Scipy (for some examples)
• NumPy (for some examples)

Install

(for Ubuntu)Install C++ Compiler and CMake

sudo apt install build-essential cmake

Clone this repository (don't forget recursive option)

git clone --recursive https://github.com/chromia/lichtenberg.git
cd lichtenberg

Install with setup.py

python setup.py install

Running examples

Examples are in examples/ directory

cd examples
python 01_basic.py
...

The result will be output to examples/ directory(e.g. examples/01_basic_gray.png)

Documentation

docs/

License

• MIT License
• except examples/resources/cityby-night-05.jpg(public domain image) - original