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@@ -1,7 +1,7 @@ -# CCPi-Regularisation Toolkit (CCPi-RUT) +# CCPi-Regularisation Toolkit (CCPi-RGL) **Iterative image reconstruction (IIR) methods normally require regularisation to stabilise convergence and make the reconstruction problem more well-posed. -CCPi-RUT software consist of 2D/3D regularisation modules which frequently used for IIR. +CCPi-RGL software consist of 2D/3D regularisation modules which frequently used for IIR. The core modules are written in C-OMP and CUDA languages and wrappers for Matlab and Python are provided.** ## Prerequisites: @@ -13,14 +13,21 @@ The core modules are written in C-OMP and CUDA languages and wrappers for Matlab ## Package modules (regularisers): -1. Rudin-Osher-Fatemi Total Variation (explicit PDE minimisation scheme) [2D/3D GPU/CPU] (1) -2. Fast-Gradient-Projection Total Variation [2D/3D GPU/CPU] (2) +1. Rudin-Osher-Fatemi Total Variation (explicit PDE minimisation scheme) [2D/3D GPU/CPU] +2. Fast-Gradient-Projection Total Variation [2D/3D GPU/CPU] ### Installation: #### Python (conda-build) ``` - export CIL_VERSION=0.9.2 + export CIL_VERSION=0.9.2 + conda build recipes/regularizers --numpy 1.12 --python 3.5 + conda install cil_regularizer=0.9.2 --use-local --force + cd Wrappers/Python + conda build conda-recipe --numpy 1.12 --python 3.5 + conda install ccpi-regularizer=0.9.2 --use-local --force + cd test/ + python test_cpu_vs_gpu_regularizers.py ``` #### Matlab @@ -33,5 +40,5 @@ The core modules are written in C-OMP and CUDA languages and wrappers for Matlab [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0) ### Acknowledgments: -CCPi-RUT software is a product of the [CCPi](https://www.ccpi.ac.uk/) group and STFC SCD software developers. Any relevant questions/comments can be e-mailed to Daniil Kazantsev at dkazanc@hotmail.com +CCPi-RGL software is a product of the [CCPi](https://www.ccpi.ac.uk/) group and STFC SCD software developers. Any relevant questions/comments can be e-mailed to Daniil Kazantsev at dkazanc@hotmail.com |