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-rw-r--r--Wrappers/Python/demos/demo_cpu_regularisers.py4
-rw-r--r--Wrappers/Python/demos/demo_cpu_regularisers3D.py54
-rw-r--r--Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py4
-rw-r--r--Wrappers/Python/demos/demo_gpu_regularisers.py4
-rw-r--r--Wrappers/Python/demos/demo_gpu_regularisers3D.py51
5 files changed, 106 insertions, 11 deletions
diff --git a/Wrappers/Python/demos/demo_cpu_regularisers.py b/Wrappers/Python/demos/demo_cpu_regularisers.py
index 859b633..e6befa9 100644
--- a/Wrappers/Python/demos/demo_cpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_cpu_regularisers.py
@@ -225,8 +225,8 @@ pars = {'algorithm' : TGV, \
'input' : u0,\
'regularisation_parameter':0.04, \
'alpha1':1.0,\
- 'alpha0':0.7,\
- 'number_of_iterations' :250 ,\
+ 'alpha0':2.0,\
+ 'number_of_iterations' :1350 ,\
'LipshitzConstant' :12 ,\
}
diff --git a/Wrappers/Python/demos/demo_cpu_regularisers3D.py b/Wrappers/Python/demos/demo_cpu_regularisers3D.py
index c42c37b..2d2fc22 100644
--- a/Wrappers/Python/demos/demo_cpu_regularisers3D.py
+++ b/Wrappers/Python/demos/demo_cpu_regularisers3D.py
@@ -12,7 +12,7 @@ import matplotlib.pyplot as plt
import numpy as np
import os
import timeit
-from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, LLT_ROF, FGP_dTV, NDF, Diff4th
+from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, TGV, LLT_ROF, FGP_dTV, NDF, Diff4th
from qualitymetrics import rmse
###############################################################################
def printParametersToString(pars):
@@ -68,7 +68,7 @@ Im2[:,0:M] = Im[:,0:M]
Im = Im2
del Im2
"""
-slices = 20
+slices = 15
noisyVol = np.zeros((slices,N,M),dtype='float32')
noisyRef = np.zeros((slices,N,M),dtype='float32')
@@ -96,7 +96,7 @@ pars = {'algorithm': ROF_TV, \
'input' : noisyVol,\
'regularisation_parameter':0.04,\
'number_of_iterations': 500,\
- 'time_marching_parameter': 0.0025
+ 'time_marching_parameter': 0.0025
}
print ("#############ROF TV CPU####################")
start_time = timeit.default_timer()
@@ -264,6 +264,54 @@ plt.title('{}'.format('Recovered volume on the CPU using LLT-ROF'))
#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+print ("_______________TGV (3D)_________________")
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+
+## plot
+fig = plt.figure()
+plt.suptitle('Performance of TGV regulariser using the CPU')
+a=fig.add_subplot(1,2,1)
+a.set_title('Noisy Image')
+imgplot = plt.imshow(noisyVol[10,:,:],cmap="gray")
+
+# set parameters
+pars = {'algorithm' : TGV, \
+ 'input' : noisyVol,\
+ 'regularisation_parameter':0.04, \
+ 'alpha1':1.0,\
+ 'alpha0':2.0,\
+ 'number_of_iterations' :250 ,\
+ 'LipshitzConstant' :12 ,\
+ }
+
+print ("#############TGV CPU####################")
+start_time = timeit.default_timer()
+tgv_cpu3D = TGV(pars['input'],
+ pars['regularisation_parameter'],
+ pars['alpha1'],
+ pars['alpha0'],
+ pars['number_of_iterations'],
+ pars['LipshitzConstant'],'cpu')
+
+
+rms = rmse(idealVol, tgv_cpu3D)
+pars['rmse'] = rms
+
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+a=fig.add_subplot(1,2,2)
+
+# these are matplotlib.patch.Patch properties
+props = dict(boxstyle='round', facecolor='wheat', alpha=0.75)
+# place a text box in upper left in axes coords
+a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
+ verticalalignment='top', bbox=props)
+imgplot = plt.imshow(tgv_cpu3D[10,:,:], cmap="gray")
+plt.title('{}'.format('Recovered volume on the CPU using TGV'))
+
+#%%
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("________________NDF (3D)___________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
diff --git a/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py b/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py
index 275e844..230a761 100644
--- a/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py
@@ -323,8 +323,8 @@ pars = {'algorithm' : TGV, \
'input' : u0,\
'regularisation_parameter':0.04, \
'alpha1':1.0,\
- 'alpha0':0.7,\
- 'number_of_iterations' :250 ,\
+ 'alpha0':2.0,\
+ 'number_of_iterations' :400 ,\
'LipshitzConstant' :12 ,\
}
diff --git a/Wrappers/Python/demos/demo_gpu_regularisers.py b/Wrappers/Python/demos/demo_gpu_regularisers.py
index 9115494..e1c6575 100644
--- a/Wrappers/Python/demos/demo_gpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_gpu_regularisers.py
@@ -223,8 +223,8 @@ pars = {'algorithm' : TGV, \
'input' : u0,\
'regularisation_parameter':0.04, \
'alpha1':1.0,\
- 'alpha0':0.7,\
- 'number_of_iterations' :250 ,\
+ 'alpha0':2.0,\
+ 'number_of_iterations' :1250 ,\
'LipshitzConstant' :12 ,\
}
diff --git a/Wrappers/Python/demos/demo_gpu_regularisers3D.py b/Wrappers/Python/demos/demo_gpu_regularisers3D.py
index cda2847..b6058d2 100644
--- a/Wrappers/Python/demos/demo_gpu_regularisers3D.py
+++ b/Wrappers/Python/demos/demo_gpu_regularisers3D.py
@@ -12,7 +12,7 @@ import matplotlib.pyplot as plt
import numpy as np
import os
import timeit
-from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, LLT_ROF, FGP_dTV, NDF, Diff4th
+from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, TGV, LLT_ROF, FGP_dTV, NDF, Diff4th
from qualitymetrics import rmse
###############################################################################
def printParametersToString(pars):
@@ -67,7 +67,7 @@ Im = Im2
del Im2
"""
-#%%
+
slices = 20
filename = os.path.join(".." , ".." , ".." , "data" ,"lena_gray_512.tif")
@@ -268,6 +268,53 @@ plt.title('{}'.format('Recovered volume on the GPU using LLT-ROF'))
#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+print ("_______________TGV (3D)_________________")
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+
+## plot
+fig = plt.figure()
+plt.suptitle('Performance of TGV regulariser using the GPU')
+a=fig.add_subplot(1,2,1)
+a.set_title('Noisy Image')
+imgplot = plt.imshow(noisyVol[10,:,:],cmap="gray")
+
+# set parameters
+pars = {'algorithm' : TGV, \
+ 'input' : noisyVol,\
+ 'regularisation_parameter':0.04, \
+ 'alpha1':1.0,\
+ 'alpha0':2.0,\
+ 'number_of_iterations' :600 ,\
+ 'LipshitzConstant' :12 ,\
+ }
+
+print ("#############TGV GPU####################")
+start_time = timeit.default_timer()
+tgv_gpu3D = TGV(pars['input'],
+ pars['regularisation_parameter'],
+ pars['alpha1'],
+ pars['alpha0'],
+ pars['number_of_iterations'],
+ pars['LipshitzConstant'],'gpu')
+
+
+rms = rmse(idealVol, tgv_gpu3D)
+pars['rmse'] = rms
+
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+a=fig.add_subplot(1,2,2)
+
+# these are matplotlib.patch.Patch properties
+props = dict(boxstyle='round', facecolor='wheat', alpha=0.75)
+# place a text box in upper left in axes coords
+a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
+ verticalalignment='top', bbox=props)
+imgplot = plt.imshow(tgv_gpu3D[10,:,:], cmap="gray")
+plt.title('{}'.format('Recovered volume on the GPU using TGV'))
+#%%
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("_______________NDF-TV (3D)_________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
generated by cgit v1.2.3 (git 2.25.1) at 2025-10-31 18:22:23 +0000