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-rw-r--r--Wrappers/Python/demos/demo_cpu_regularisers.py67
-rw-r--r--Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py106
-rw-r--r--Wrappers/Python/demos/demo_gpu_regularisers.py70
3 files changed, 215 insertions, 28 deletions
diff --git a/Wrappers/Python/demos/demo_cpu_regularisers.py b/Wrappers/Python/demos/demo_cpu_regularisers.py
index ff500ae..5c20244 100644
--- a/Wrappers/Python/demos/demo_cpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_cpu_regularisers.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, FGP_dTV, TNV, NDF, DIFF4th
+from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, TGV, FGP_dTV, TNV, NDF, DIFF4th
from qualitymetrics import rmse
###############################################################################
def printParametersToString(pars):
@@ -74,7 +74,7 @@ print ("_______________ROF-TV (2D)_________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(1)
+fig = plt.figure()
plt.suptitle('Performance of ROF-TV regulariser using the CPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -109,13 +109,13 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
imgplot = plt.imshow(rof_cpu, cmap="gray")
plt.title('{}'.format('CPU results'))
-
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("_______________FGP-TV (2D)__________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(2)
+fig = plt.figure()
plt.suptitle('Performance of FGP-TV regulariser using the CPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -159,12 +159,13 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
imgplot = plt.imshow(fgp_cpu, cmap="gray")
plt.title('{}'.format('CPU results'))
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("_______________SB-TV (2D)__________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(3)
+fig = plt.figure()
plt.suptitle('Performance of SB-TV regulariser using the CPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -205,14 +206,62 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
verticalalignment='top', bbox=props)
imgplot = plt.imshow(sb_cpu, cmap="gray")
plt.title('{}'.format('CPU results'))
+#%%
+
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+print ("_____Total Generalised Variation (2D)______")
+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(u0,cmap="gray")
+
+# set parameters
+pars = {'algorithm' : TGV, \
+ 'input' : u0,\
+ 'regularisation_parameter':0.04, \
+ 'alpha1':1.0,\
+ 'alpha0':0.7,\
+ 'number_of_iterations' :250 ,\
+ 'LipshitzConstant' :12 ,\
+ }
+
+print ("#############TGV CPU####################")
+start_time = timeit.default_timer()
+tgv_cpu = TGV(pars['input'],
+ pars['regularisation_parameter'],
+ pars['alpha1'],
+ pars['alpha0'],
+ pars['number_of_iterations'],
+ pars['LipshitzConstant'],'cpu')
+
+
+rms = rmse(Im, tgv_cpu)
+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_cpu, cmap="gray")
+plt.title('{}'.format('CPU results'))
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("________________NDF (2D)___________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(4)
+fig = plt.figure()
plt.suptitle('Performance of NDF regulariser using the CPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -259,7 +308,7 @@ print ("___Anisotropic Diffusion 4th Order (2D)____")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(5)
+fig = plt.figure()
plt.suptitle('Performance of DIFF4th regulariser using the CPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -304,7 +353,7 @@ print ("_____________FGP-dTV (2D)__________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(6)
+fig = plt.figure()
plt.suptitle('Performance of FGP-dTV regulariser using the CPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -356,7 +405,7 @@ print ("__________Total nuclear Variation__________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(7)
+fig = plt.figure()
plt.suptitle('Performance of TNV regulariser using the CPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
diff --git a/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py b/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py
index 4611522..46b8ffc 100644
--- a/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.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, FGP_dTV, NDF, DIFF4th
+from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, TGV, FGP_dTV, NDF, DIFF4th
from qualitymetrics import rmse
###############################################################################
def printParametersToString(pars):
@@ -50,12 +50,13 @@ u_ref = Im + np.random.normal(loc = 0 ,
u0 = u0.astype('float32')
u_ref = u_ref.astype('float32')
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________ROF-TV bench___________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(1)
+fig = plt.figure()
plt.suptitle('Comparison of ROF-TV regulariser using CPU and GPU implementations')
a=fig.add_subplot(1,4,1)
a.set_title('Noisy Image')
@@ -90,7 +91,6 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
imgplot = plt.imshow(rof_cpu, cmap="gray")
plt.title('{}'.format('CPU results'))
-
print ("##############ROF TV GPU##################")
start_time = timeit.default_timer()
rof_gpu = ROF_TV(pars['input'],
@@ -128,12 +128,13 @@ if (diff_im.sum() > 1):
else:
print ("Arrays match")
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________FGP-TV bench___________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(2)
+fig = plt.figure()
plt.suptitle('Comparison of FGP-TV regulariser using CPU and GPU implementations')
a=fig.add_subplot(1,4,1)
a.set_title('Noisy Image')
@@ -218,12 +219,13 @@ if (diff_im.sum() > 1):
else:
print ("Arrays match")
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________SB-TV bench___________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(3)
+fig = plt.figure()
plt.suptitle('Comparison of SB-TV regulariser using CPU and GPU implementations')
a=fig.add_subplot(1,4,1)
a.set_title('Noisy Image')
@@ -303,14 +305,98 @@ if (diff_im.sum() > 1):
print ("Arrays do not match!")
else:
print ("Arrays match")
+#%%
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+print ("____________TGV bench___________________")
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+
+## plot
+fig = plt.figure()
+plt.suptitle('Comparison of TGV regulariser using CPU and GPU implementations')
+a=fig.add_subplot(1,4,1)
+a.set_title('Noisy Image')
+imgplot = plt.imshow(u0,cmap="gray")
+
+# set parameters
+pars = {'algorithm' : TGV, \
+ 'input' : u0,\
+ 'regularisation_parameter':0.04, \
+ 'alpha1':1.0,\
+ 'alpha0':0.7,\
+ 'number_of_iterations' :250 ,\
+ 'LipshitzConstant' :12 ,\
+ }
+
+print ("#############TGV CPU####################")
+start_time = timeit.default_timer()
+tgv_cpu = TGV(pars['input'],
+ pars['regularisation_parameter'],
+ pars['alpha1'],
+ pars['alpha0'],
+ pars['number_of_iterations'],
+ pars['LipshitzConstant'],'cpu')
+
+rms = rmse(Im, tgv_cpu)
+pars['rmse'] = rms
+
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+a=fig.add_subplot(1,4,2)
+
+# 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_cpu, cmap="gray")
+plt.title('{}'.format('CPU results'))
+
+print ("##############SB TV GPU##################")
+start_time = timeit.default_timer()
+tgv_gpu = TGV(pars['input'],
+ pars['regularisation_parameter'],
+ pars['alpha1'],
+ pars['alpha0'],
+ pars['number_of_iterations'],
+ pars['LipshitzConstant'],'gpu')
+
+rms = rmse(Im, tgv_gpu)
+pars['rmse'] = rms
+pars['algorithm'] = TGV
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+a=fig.add_subplot(1,4,3)
+
+# 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_gpu, cmap="gray")
+plt.title('{}'.format('GPU results'))
+print ("--------Compare the results--------")
+tolerance = 1e-05
+diff_im = np.zeros(np.shape(tgv_gpu))
+diff_im = abs(tgv_cpu - tgv_gpu)
+diff_im[diff_im > tolerance] = 1
+a=fig.add_subplot(1,4,4)
+imgplot = plt.imshow(diff_im, vmin=0, vmax=1, cmap="gray")
+plt.title('{}'.format('Pixels larger threshold difference'))
+if (diff_im.sum() > 1):
+ print ("Arrays do not match!")
+else:
+ print ("Arrays match")
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("_______________NDF bench___________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(4)
+fig = plt.figure()
plt.suptitle('Comparison of NDF regulariser using CPU and GPU implementations')
a=fig.add_subplot(1,4,1)
a.set_title('Noisy Image')
@@ -390,13 +476,13 @@ if (diff_im.sum() > 1):
else:
print ("Arrays match")
-
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("___Anisotropic Diffusion 4th Order (2D)____")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(5)
+fig = plt.figure()
plt.suptitle('Comparison of Diff4th regulariser using CPU and GPU implementations')
a=fig.add_subplot(1,4,1)
a.set_title('Noisy Image')
@@ -472,12 +558,13 @@ if (diff_im.sum() > 1):
else:
print ("Arrays match")
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________FGP-dTV bench___________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(6)
+fig = plt.figure()
plt.suptitle('Comparison of FGP-dTV regulariser using CPU and GPU implementations')
a=fig.add_subplot(1,4,1)
a.set_title('Noisy Image')
@@ -565,3 +652,4 @@ if (diff_im.sum() > 1):
print ("Arrays do not match!")
else:
print ("Arrays match")
+#%% \ No newline at end of file
diff --git a/Wrappers/Python/demos/demo_gpu_regularisers.py b/Wrappers/Python/demos/demo_gpu_regularisers.py
index 3179428..792a019 100644
--- a/Wrappers/Python/demos/demo_gpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_gpu_regularisers.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, FGP_dTV, NDF, DIFF4th
+from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, TGV, FGP_dTV, NDF, DIFF4th
from qualitymetrics import rmse
###############################################################################
def printParametersToString(pars):
@@ -66,13 +66,14 @@ Im2[:,0:M] = Im[:,0:M]
Im = Im2
del Im2
"""
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________ROF-TV regulariser_____________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(1)
+fig = plt.figure()
plt.suptitle('Performance of the ROF-TV regulariser using the GPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -108,13 +109,13 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
imgplot = plt.imshow(rof_gpu, cmap="gray")
plt.title('{}'.format('GPU results'))
-
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________FGP-TV regulariser_____________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(2)
+fig = plt.figure()
plt.suptitle('Performance of the FGP-TV regulariser using the GPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -157,13 +158,13 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
imgplot = plt.imshow(fgp_gpu, cmap="gray")
plt.title('{}'.format('GPU results'))
-
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________SB-TV regulariser______________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(3)
+fig = plt.figure()
plt.suptitle('Performance of the SB-TV regulariser using the GPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -203,14 +204,62 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
verticalalignment='top', bbox=props)
imgplot = plt.imshow(sb_gpu, cmap="gray")
plt.title('{}'.format('GPU results'))
+#%%
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+print ("_____Total Generalised Variation (2D)______")
+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(u0,cmap="gray")
+
+# set parameters
+pars = {'algorithm' : TGV, \
+ 'input' : u0,\
+ 'regularisation_parameter':0.04, \
+ 'alpha1':1.0,\
+ 'alpha0':0.7,\
+ 'number_of_iterations' :250 ,\
+ 'LipshitzConstant' :12 ,\
+ }
+
+print ("#############TGV CPU####################")
+start_time = timeit.default_timer()
+tgv_gpu = TGV(pars['input'],
+ pars['regularisation_parameter'],
+ pars['alpha1'],
+ pars['alpha0'],
+ pars['number_of_iterations'],
+ pars['LipshitzConstant'],'gpu')
+
+
+rms = rmse(Im, tgv_gpu)
+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_gpu, cmap="gray")
+plt.title('{}'.format('GPU results'))
+
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("_______________NDF regulariser_____________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(4)
+fig = plt.figure()
plt.suptitle('Performance of the NDF regulariser using the GPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -251,13 +300,13 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
imgplot = plt.imshow(ndf_gpu, cmap="gray")
plt.title('{}'.format('GPU results'))
-
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("___Anisotropic Diffusion 4th Order (2D)____")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(5)
+fig = plt.figure()
plt.suptitle('Performance of DIFF4th regulariser using the GPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
@@ -296,12 +345,13 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
imgplot = plt.imshow(diff4_gpu, cmap="gray")
plt.title('{}'.format('GPU results'))
+#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________FGP-dTV bench___________________")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
## plot
-fig = plt.figure(6)
+fig = plt.figure()
plt.suptitle('Performance of the FGP-dTV regulariser using the GPU')
a=fig.add_subplot(1,2,1)
a.set_title('Noisy Image')
generated by cgit v1.2.3 (git 2.25.1) at 2024-12-11 09:20:42 +0000