Skip to main content

High-performance tomographic reconstruction

Project description

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

Installing

  1. Clone or download the repository:

    git clone git@github.com:cabouman/mbirjax.git
  2. Install the conda environment and package

    1. Option 1: Clean install from dev_scripts

      *****You can skip all other steps if you do a clean install.****

      To do a clean install, use the command:

      cd dev_scripts
      source clean_install_all.sh
    2. Option 2: Manual install

      1. Create conda environment:

        Create a new conda environment named mbirjax using the following commands:

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

        Anytime you want to use this package, this mbirjax environment should be activated with the following:

        conda activate mbirjax
      2. Install mbirjax package:

        Navigate to the main directory mbirjax/ and run the following:

        pip install .

        To allow editing of the package source while using the package, use

        pip install -e .

Running Demo(s)

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

python demo/<demo_file>.py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mbirjax-0.1.0.tar.gz (52.9 kB view hashes)

Uploaded Source

Built Distribution

MBIRJAX-0.1.0-py3-none-any.whl (70.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page