From c9ee9ecc84881595b04f19280c93bcd587171270 Mon Sep 17 00:00:00 2001
From: dkazanc <dkazanc@hotmail.com>
Date: Tue, 4 Dec 2018 16:13:38 +0000
Subject: GPU version, this completes implementation of nltv #68
---
Wrappers/Python/demos/demo_cpu_regularisers.py | 18 ++++--
.../Python/demos/demo_cpu_vs_gpu_regularisers.py | 55 ++++++++++++++++
Wrappers/Python/demos/demo_gpu_regularisers.py | 74 +++++++++++++++++++++-
3 files changed, 141 insertions(+), 6 deletions(-)
(limited to 'Wrappers/Python/demos')
diff --git a/Wrappers/Python/demos/demo_cpu_regularisers.py b/Wrappers/Python/demos/demo_cpu_regularisers.py
index 31e4cad..78e9aff 100644
--- a/Wrappers/Python/demos/demo_cpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_cpu_regularisers.py
@@ -400,20 +400,29 @@ plt.title('{}'.format('CPU results'))
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("___Nonlocal patches pre-calculation____")
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+start_time = timeit.default_timer()
# set parameters
pars = {'algorithm' : PatchSelect, \
'input' : u0,\
'searchwindow': 7, \
'patchwindow': 2,\
'neighbours' : 15 ,\
- 'edge_parameter':0.23}
+ 'edge_parameter':0.18}
H_i, H_j, Weights = PatchSelect(pars['input'],
pars['searchwindow'],
pars['patchwindow'],
pars['neighbours'],
pars['edge_parameter'],'cpu')
-
+
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+"""
+plt.figure()
+plt.imshow(Weights[0,:,:],cmap="gray",interpolation="nearest",vmin=0, vmax=1)
+plt.show()
+"""
#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("___Nonlocal Total Variation penalty____")
@@ -431,10 +440,9 @@ pars2 = {'algorithm' : NLTV, \
'H_j': H_j,\
'H_k' : 0,\
'Weights' : Weights,\
- 'regularisation_parameter': 0.085,\
- 'iterations': 2
+ 'regularisation_parameter': 0.04,\
+ 'iterations': 3
}
-#%%
start_time = timeit.default_timer()
nltv_cpu = NLTV(pars2['input'],
pars2['H_i'],
diff --git a/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py b/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py
index 3d6e92f..616eab0 100644
--- a/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_cpu_vs_gpu_regularisers.py
@@ -13,6 +13,7 @@ import numpy as np
import os
import timeit
from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, TGV, LLT_ROF, FGP_dTV, NDF, DIFF4th
+from ccpi.filters.regularisers import PatchSelect
from qualitymetrics import rmse
###############################################################################
def printParametersToString(pars):
@@ -728,6 +729,60 @@ 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 ("____Non-local regularisation bench_________")
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+
+## plot
+fig = plt.figure()
+plt.suptitle('Comparison of Nonlocal TV regulariser using CPU and GPU implementations')
+a=fig.add_subplot(1,2,1)
+a.set_title('Noisy Image')
+imgplot = plt.imshow(u0,cmap="gray")
+
+pars = {'algorithm' : PatchSelect, \
+ 'input' : u0,\
+ 'searchwindow': 7, \
+ 'patchwindow': 2,\
+ 'neighbours' : 15 ,\
+ 'edge_parameter':0.18}
+
+print ("############## Nonlocal Patches on CPU##################")
+start_time = timeit.default_timer()
+H_i, H_j, WeightsCPU = PatchSelect(pars['input'],
+ pars['searchwindow'],
+ pars['patchwindow'],
+ pars['neighbours'],
+ pars['edge_parameter'],'cpu')
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+
+print ("############## Nonlocal Patches on GPU##################")
+start_time = timeit.default_timer()
+start_time = timeit.default_timer()
+H_i, H_j, WeightsGPU = PatchSelect(pars['input'],
+ pars['searchwindow'],
+ pars['patchwindow'],
+ pars['neighbours'],
+ pars['edge_parameter'],'gpu')
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+
+print ("--------Compare the results--------")
+tolerance = 1e-05
+diff_im = np.zeros(np.shape(u0))
+diff_im = abs(WeightsCPU[0,:,:] - WeightsGPU[0,:,:])
+diff_im[diff_im > tolerance] = 1
+a=fig.add_subplot(1,2,2)
+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:
diff --git a/Wrappers/Python/demos/demo_gpu_regularisers.py b/Wrappers/Python/demos/demo_gpu_regularisers.py
index de0cbde..2ada559 100644
--- a/Wrappers/Python/demos/demo_gpu_regularisers.py
+++ b/Wrappers/Python/demos/demo_gpu_regularisers.py
@@ -13,6 +13,7 @@ import numpy as np
import os
import timeit
from ccpi.filters.regularisers import ROF_TV, FGP_TV, SB_TV, TGV, LLT_ROF, FGP_dTV, NDF, DIFF4th
+from ccpi.filters.regularisers import PatchSelect, NLTV
from qualitymetrics import rmse
###############################################################################
def printParametersToString(pars):
@@ -84,7 +85,7 @@ pars = {'algorithm': ROF_TV, \
'input' : u0,\
'regularisation_parameter':0.04,\
'number_of_iterations': 1200,\
- 'time_marching_parameter': 0.0025
+ 'time_marching_parameter': 0.0025
}
print ("##############ROF TV GPU##################")
start_time = timeit.default_timer()
@@ -392,6 +393,77 @@ 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 ("___Nonlocal patches pre-calculation____")
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+start_time = timeit.default_timer()
+# set parameters
+pars = {'algorithm' : PatchSelect, \
+ 'input' : u0,\
+ 'searchwindow': 7, \
+ 'patchwindow': 2,\
+ 'neighbours' : 15 ,\
+ 'edge_parameter':0.18}
+
+H_i, H_j, Weights = PatchSelect(pars['input'],
+ pars['searchwindow'],
+ pars['patchwindow'],
+ pars['neighbours'],
+ pars['edge_parameter'],'gpu')
+
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+"""
+plt.figure()
+plt.imshow(Weights[0,:,:],cmap="gray",interpolation="nearest",vmin=0, vmax=1)
+plt.show()
+"""
+#%%
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+print ("___Nonlocal Total Variation penalty____")
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+## plot
+fig = plt.figure()
+plt.suptitle('Performance of NLTV regulariser using the CPU')
+a=fig.add_subplot(1,2,1)
+a.set_title('Noisy Image')
+imgplot = plt.imshow(u0,cmap="gray")
+
+pars2 = {'algorithm' : NLTV, \
+ 'input' : u0,\
+ 'H_i': H_i, \
+ 'H_j': H_j,\
+ 'H_k' : 0,\
+ 'Weights' : Weights,\
+ 'regularisation_parameter': 0.02,\
+ 'iterations': 3
+ }
+start_time = timeit.default_timer()
+nltv_cpu = NLTV(pars2['input'],
+ pars2['H_i'],
+ pars2['H_j'],
+ pars2['H_k'],
+ pars2['Weights'],
+ pars2['regularisation_parameter'],
+ pars2['iterations'])
+
+rms = rmse(Im, nltv_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(nltv_cpu, cmap="gray")
+plt.title('{}'.format('CPU results'))
#%%
print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print ("____________FGP-dTV bench___________________")
--
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