Python code for fast parallel-beam MBIR (Model Based Iterative Reconstruction)
Project description
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
- Download demo.zip at https://github.com/cabouman/svmbir/blob/master/demo.zip.
- Uncompress the zip file and change into demo folder.
- In your terminal window, install required dependencies of demo.
pip install -r requirements_demo.txt
- In your terminal window, use python to run each demo.
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