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Diffstat (limited to 'Readme.md')
| -rw-r--r-- | Readme.md | 14 |
1 files changed, 7 insertions, 7 deletions
@@ -1,7 +1,7 @@ -# CCPi-Regularization Toolkit (CCPi-RGL) +# CCPi-Regularisation Toolkit (CCPi-RGL) -**Iterative image reconstruction (IIR) methods normally require regularization to stabilize the convergence and make the reconstruction problem more well-posed. -CCPi-RGL software consist of 2D/3D regularization modules for single-channel and multi-channel reconstruction problems. The modules especially suited for IIR, however, +**Iterative image reconstruction (IIR) methods normally require regularisation to stabilise the convergence and make the reconstruction problem more well-posed. +CCPi-RGL software consist of 2D/3D regularisation modules for single-channel and multi-channel reconstruction problems. The modules especially suited for IIR, however, can also be used as image denoising iterative filters. The core modules are written in C-OMP and CUDA languages and wrappers for Matlab and Python are provided.** ## Prerequisites: @@ -24,13 +24,13 @@ can also be used as image denoising iterative filters. The core modules are writ ### Python (conda-build) ``` 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 + conda build recipes/regularisers --numpy 1.12 --python 3.5 + conda install cil_regulariser=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 + conda install ccpi-regulariser=0.9.2 --use-local --force cd test/ - python test_cpu_vs_gpu_regularizers.py + python test_cpu_vs_gpu_regularisers.py ``` ### Matlab ``` |