mbirjax 0.6.16

High-performance tomographic reconstruction

Model-Based Iterative Reconstruction (MBIR) for tomographic reconstruction that is based on the JAX library. Full documentation is available at https://mbirjax.readthedocs.io .

Installing from PyPI

For CPU only:

pip install mbirjax

For CPU with a CUDA12-enabled GPU:

pip install --upgrade mbirjax[cuda12]

Installing from Source

1. Clone the repository:

   git clone [e-mail]:cabouman/mbirjax.git

2. Install the conda environment and package

   1. Option 1: Clean install using dev_scripts - We provide bash scripts that will do a clean install of MBIRJAX in a new conda environment using the commands:

      cd dev_scripts
      source clean_install_all.sh

   2. Option 2: Manual install - You can also manually install MBIRJAX from the main directory of the repository with the following commands:

      conda create --name mbirjax python=3.10
      conda activate mbirjax
      pip install -r requirements.txt
      pip install .

Running Demo(s)

Run any of the available demo scripts with something like the following:

python demo/<demo_file>.py