restructured sources

3 files changed, 0 insertions, 214 deletions

diff --git a/Wrappers/Python/ccpi/__init__.py b/Wrappers/Python/ccpi/__init__.py
deleted file mode 100644
index e69de29..0000000
--- a/Wrappers/Python/ccpi/__init__.py
+++ /dev/null
diff --git a/Wrappers/Python/ccpi/filters/__init__.py b/Wrappers/Python/ccpi/filters/__init__.py
deleted file mode 100644
index e69de29..0000000
--- a/Wrappers/Python/ccpi/filters/__init__.py
+++ /dev/null
diff --git a/Wrappers/Python/ccpi/filters/regularisers.py b/Wrappers/Python/ccpi/filters/regularisers.py
deleted file mode 100644
index 588ea32..0000000
--- a/Wrappers/Python/ccpi/filters/regularisers.py
+++ /dev/null
@@ -1,214 +0,0 @@
-"""
-script which assigns a proper device core function based on a flag ('cpu' or 'gpu')
-"""
-
-from ccpi.filters.cpu_regularisers import TV_ROF_CPU, TV_FGP_CPU, TV_SB_CPU, dTV_FGP_CPU, TNV_CPU, NDF_CPU, Diff4th_CPU, TGV_CPU, LLT_ROF_CPU, PATCHSEL_CPU, NLTV_CPU
-try:
-    from ccpi.filters.gpu_regularisers import TV_ROF_GPU, TV_FGP_GPU, TV_SB_GPU, dTV_FGP_GPU, NDF_GPU, Diff4th_GPU, TGV_GPU, LLT_ROF_GPU, PATCHSEL_GPU
-    gpu_enabled = True
-except ImportError:
-    gpu_enabled = False    
-from ccpi.filters.cpu_regularisers import NDF_INPAINT_CPU, NVM_INPAINT_CPU
-
-def ROF_TV(inputData, regularisation_parameter, iterations,
-                     time_marching_parameter,device='cpu'):
-    if device == 'cpu':
-        return TV_ROF_CPU(inputData,
-                     regularisation_parameter,
-                     iterations, 
-                     time_marching_parameter)
-    elif device == 'gpu' and gpu_enabled:
-        return TV_ROF_GPU(inputData,
-                     regularisation_parameter,
-                     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 FGP_TV(inputData, regularisation_parameter,iterations,
-                     tolerance_param, methodTV, nonneg, printM, device='cpu'):
-    if device == 'cpu':
-        return TV_FGP_CPU(inputData,
-                     regularisation_parameter,
-                     iterations, 
-                     tolerance_param,
-                     methodTV,
-                     nonneg,
-                     printM)
-    elif device == 'gpu' and gpu_enabled:
-        return TV_FGP_GPU(inputData,
-                     regularisation_parameter,
-                     iterations, 
-                     tolerance_param,
-                     methodTV,
-                     nonneg,
-                     printM)
-    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 SB_TV(inputData, regularisation_parameter, iterations,
-                     tolerance_param, methodTV, printM, device='cpu'):
-    if device == 'cpu':
-        return TV_SB_CPU(inputData,
-                     regularisation_parameter,
-                     iterations, 
-                     tolerance_param,
-                     methodTV,
-                     printM)
-    elif device == 'gpu' and gpu_enabled:
-        return TV_SB_GPU(inputData,
-                     regularisation_parameter,
-                     iterations, 
-                     tolerance_param,
-                     methodTV,
-                     printM)
-    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 FGP_dTV(inputData, refdata, regularisation_parameter, iterations,
-                     tolerance_param, eta_const, methodTV, nonneg, printM, device='cpu'):
-    if device == 'cpu':
-        return dTV_FGP_CPU(inputData,
-                     refdata,
-                     regularisation_parameter,
-                     iterations, 
-                     tolerance_param,
-                     eta_const,
-                     methodTV,
-                     nonneg,
-                     printM)
-    elif device == 'gpu' and gpu_enabled:
-        return dTV_FGP_GPU(inputData,
-                     refdata,
-                     regularisation_parameter,
-                     iterations, 
-                     tolerance_param,
-                     eta_const,
-                     methodTV,
-                     nonneg,
-                     printM)
-    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 TNV(inputData, regularisation_parameter, iterations, tolerance_param):
-        return TNV_CPU(inputData,
-                     regularisation_parameter,
-                     iterations, 
-                     tolerance_param)
-def NDF(inputData, regularisation_parameter, edge_parameter, iterations,
-                     time_marching_parameter, penalty_type, device='cpu'):
-    if device == 'cpu':
-        return NDF_CPU(inputData,
-                     regularisation_parameter,
-                     edge_parameter,
-                     iterations, 
-                     time_marching_parameter,
-                     penalty_type)
-    elif device == 'gpu' and gpu_enabled:
-        return NDF_GPU(inputData,
-                     regularisation_parameter,
-                     edge_parameter,
-                     iterations, 
-                     time_marching_parameter,
-                     penalty_type)
-    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 Diff4th(inputData, regularisation_parameter, edge_parameter, iterations,
-                     time_marching_parameter, device='cpu'):
-    if device == 'cpu':
-        return Diff4th_CPU(inputData,
-                     regularisation_parameter,
-                     edge_parameter,
-                     iterations, 
-                     time_marching_parameter)
-    elif device == 'gpu' and gpu_enabled:
-        return Diff4th_GPU(inputData,
-                     regularisation_parameter,
-                     edge_parameter,
-                     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 PatchSelect(inputData, searchwindow, patchwindow, neighbours, edge_parameter, device='cpu'):
-    if device == 'cpu':
-        return PATCHSEL_CPU(inputData,
-                     searchwindow,
-                     patchwindow,
-                     neighbours, 
-                     edge_parameter)
-    elif device == 'gpu' and gpu_enabled:
-        return PATCHSEL_GPU(inputData,
-                     searchwindow,
-                     patchwindow,
-                     neighbours, 
-                     edge_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 NLTV(inputData, H_i, H_j, H_k, Weights, regularisation_parameter, iterations):
-    return NLTV_CPU(inputData,
-                     H_i,
-                     H_j,
-                     H_k, 
-                     Weights,
-                     regularisation_parameter,
-                     iterations)
-
-def TGV(inputData, regularisation_parameter, alpha1, alpha0, iterations,
-                     LipshitzConst, device='cpu'):
-    if device == 'cpu':
-        return TGV_CPU(inputData, 
-					regularisation_parameter, 
-					alpha1, 
-					alpha0, 
-					iterations,
-                    LipshitzConst)
-    elif device == 'gpu' and gpu_enabled:
-        return TGV_GPU(inputData, 
-					regularisation_parameter, 
-					alpha1, 
-					alpha0, 
-					iterations,
-                    LipshitzConst)
-    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, 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, 
-        edge_parameter, iterations, time_marching_parameter, penalty_type)
-        
-def NVM_INP(inputData, maskData, SW_increment, iterations):
-        return NVM_INPAINT_CPU(inputData, maskData, SW_increment, iterations)