openBOS-test 0.0.17

the library of Background Oriented Schlieren

openBOS

openBOS is a library developed to provide open access to various methods of the Background Oriented Schlieren (BOS) method. We are also developing software that runs on a GUI for those who do not have Python skills.

Key Features

• Short, concise code for visualization, 3D reconstruction, and quantification
• GPU parallel processing is also available

Warning

The openBOS is still in its beta state. This means that it still might have some bugs and the API may change. However, testing and contributing is very welcome, especially if you can contribute with new algorithms and features.

Installing

1. Install PyTorch

Please install Pytorch 2.x . Make sure that CUDA is available on your PC. https://pytorch.org/get-started/locally/

2. Install torch_radon

Please install torch_radon　https://torch-radon.readthedocs.io/en/latest/getting_started/install.html

git clone https://github.com/matteo-ronchetti/torch-radon.git
cd torch-radon
python setup.py install

or

docker pull matteoronchetti/torch-radon

or if you are running Linux

wget -qO- https://raw.githubusercontent.com/matteo-ronchetti/torch-radon/master/auto_install.py  | python -

3. Install openBOS

Use PyPI: https://pypi.python.org/pypi/openBOS:

pip install openBOS 

Or compile from source

Download the package from the Github: https://github.com/ogayuuki0202/openBOS/archive/refs/heads/main.zip or clone using git

git clone https://github.com/ogayuuki0202/openBOS.git
cd openBOS
python setup.py install 

Methods

Please see our wiki below. Wiki

Getting Started

Here's a quick example of using openBOS for flow visualization:

1. 3D quantitative visualization and measurement using Abel transform
2. 3D quantitative visualization and measurement using ARTmethod(CT)

Contributors

• Yuuki Ogasawara
• Ayumu Ishibashi
• Narumi Nose
• Shinsuke Udagawa

How to cite this work

If you find this project useful, please cite:

Yuuki Ogasawara, Ayumu Ishibashi, Shinsuke Udagawa. openBOS:Background oriented shlieren methods in Python. https://github.com/ogayuuki0202/openBOS

How to Contribute

We welcome contributions! If you’d like to report a bug or request a feature, please open an issue on our GitHub Issues page. We also encourage pull requests for new algorithms and improvements to the library.