svmbir 0.2.6

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

svmbir

Python code for fast parallel-beam MBIR (Model Based Iterative Reconstruction)
This is a python wrapper around HPImaging's supervoxel C code, sv-mbirct.

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

Installation through pypi

• Create an empty environment.

conda create -n svmbir python=3.8
conda activate svmbir

• pip install from pypi.

If you have the standard gcc compiler (note that the compiler shipped with Mac OS is not the standard gcc - see the documentation for detailed installation instructions for Mac) then you can install using

pip install svmbir

For installation with other compilers, see the installation instructions.

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.