diff options
Diffstat (limited to 'src/Python/ccpi')
-rw-r--r-- | src/Python/ccpi/filters/regularisers.py | 30 |
1 files changed, 14 insertions, 16 deletions
diff --git a/src/Python/ccpi/filters/regularisers.py b/src/Python/ccpi/filters/regularisers.py index 05120af..09b465a 100644 --- a/src/Python/ccpi/filters/regularisers.py +++ b/src/Python/ccpi/filters/regularisers.py @@ -52,21 +52,30 @@ def FGP_TV(inputData, regularisation_parameter,iterations, raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def SB_TV(inputData, regularisation_parameter, iterations, - tolerance_param, methodTV, printM, device='cpu'): + tolerance_param, methodTV, device='cpu'): if device == 'cpu': return TV_SB_CPU(inputData, regularisation_parameter, iterations, tolerance_param, - methodTV, - printM) + methodTV) elif device == 'gpu' and gpu_enabled: return TV_SB_GPU(inputData, regularisation_parameter, iterations, tolerance_param, - methodTV, - printM) + methodTV) + else: + if not gpu_enabled and device == 'gpu': + raise ValueError ('GPU is not available') + raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ + .format(device)) +def LLT_ROF(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, + time_marching_parameter, tolerance_param, device='cpu'): + if device == 'cpu': + return LLT_ROF_CPU(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter, tolerance_param) + elif device == 'gpu' and gpu_enabled: + return LLT_ROF_GPU(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter, tolerance_param) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') @@ -194,17 +203,6 @@ def TGV(inputData, regularisation_parameter, alpha1, alpha0, iterations, raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) -def LLT_ROF(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, - time_marching_parameter, device='cpu'): - if device == 'cpu': - return LLT_ROF_CPU(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter) - elif device == 'gpu' and gpu_enabled: - return LLT_ROF_GPU(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter) - else: - if not gpu_enabled and device == 'gpu': - raise ValueError ('GPU is not available') - raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ - .format(device)) def NDF_INP(inputData, maskData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter, penalty_type): return NDF_INPAINT_CPU(inputData, maskData, regularisation_parameter, |