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authorDaniil Kazantsev <dkazanc@hotmail.com>2018-12-02 19:01:42 +0000
committerDaniil Kazantsev <dkazanc@hotmail.com>2018-12-02 19:01:42 +0000
commita48c9e69e941ec4046aca9d5d6ec453b9e9debdc (patch)
treef62cbc2b1d51aff9aaff14e1675f932f1922dde8 /Wrappers/Python/ccpi
parentd252fcf6889855bb276cf6f9bf516e61910c064f (diff)
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cythonised nltv and updated demo, readme, bash run added
Diffstat (limited to 'Wrappers/Python/ccpi')
-rw-r--r--Wrappers/Python/ccpi/filters/regularisers.py15
1 files changed, 12 insertions, 3 deletions
diff --git a/Wrappers/Python/ccpi/filters/regularisers.py b/Wrappers/Python/ccpi/filters/regularisers.py
index c3c3c7e..bf7e23c 100644
--- a/Wrappers/Python/ccpi/filters/regularisers.py
+++ b/Wrappers/Python/ccpi/filters/regularisers.py
@@ -2,7 +2,7 @@
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
+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
gpu_enabled = True
@@ -145,7 +145,7 @@ def DIFF4th(inputData, regularisation_parameter, edge_parameter, iterations,
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
-def PatchSelect_CPU(inputData, searchwindow, patchwindow, neighbours, edge_parameter, device='cpu'):
+def PatchSelect(inputData, searchwindow, patchwindow, neighbours, edge_parameter, device='cpu'):
if device == 'cpu':
return PATCHSEL_CPU(inputData,
searchwindow,
@@ -159,7 +159,16 @@ def PatchSelect_CPU(inputData, searchwindow, patchwindow, neighbours, edge_param
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':