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Lichtenberg

test

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).

thumb

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