svmbir 0.2.9

Python code for fast parallel-beam MBIR (Model Based Iterative Reconstruction)

svmbir

Python code for fast MBIR (Model Based Iterative Reconstruction)
This is a python wrapper for High Performance Imaging's supervoxel C code, HPImaging/sv-mbirct.

Full documentation is available at: https://svmbir.readthedocs.io

Installing svmbir

The svmbir package is available from conda-forge and PyPI.

• Create an empty virtural environment

conda create -n svmbir python=3.8
conda activate svmbir

• Install using conda

conda config --add channels conda-forge
conda config --set channel_priority strict
conda install svmbir

• Install using pip (PyPI)

pip install svmbir

Note that pip installation requires a GNU gcc compiler. See here for more details.

Running the demos

1. Download demo.zip at https://github.com/cabouman/svmbir/blob/master/demo.zip.
2. Uncompress the zip file and change into demo folder.
3. In your terminal window, install required dependencies of demo.

pip install -r requirements_demo.txt

4. In your terminal window, use python to run each demo.