From c65291e6b987283e4767a8ad2bd2d2433ca3782e Mon Sep 17 00:00:00 2001
From: Daniil Kazantsev <dkazanc@hotmail.com>
Date: Thu, 28 Nov 2019 23:01:03 +0000
Subject: all work completed on gpu version of pdtv

---
 demos/demo_gpu_regularisers.py | 51 +++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 50 insertions(+), 1 deletion(-)

(limited to 'demos/demo_gpu_regularisers.py')

diff --git a/demos/demo_gpu_regularisers.py b/demos/demo_gpu_regularisers.py
index 3efcfce..5131847 100644
--- a/demos/demo_gpu_regularisers.py
+++ b/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, TGV, LLT_ROF, FGP_dTV, NDF, Diff4th
+from ccpi.filters.regularisers import ROF_TV, FGP_TV, PD_TV, SB_TV, TGV, LLT_ROF, FGP_dTV, NDF, Diff4th
 from ccpi.filters.regularisers import PatchSelect, NLTV
 from ccpi.supp.qualitymetrics import QualityTools
 ###############################################################################
@@ -158,6 +158,55 @@ imgplot = plt.imshow(fgp_gpu, cmap="gray")
 plt.title('{}'.format('GPU results'))
 #%%
 print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+print ("_______________PD-TV (2D)__________________")
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
+
+## plot 
+fig = plt.figure()
+plt.suptitle('Performance of PD-TV 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' : PD_TV, \
+        'input' : u0,\
+        'regularisation_parameter':0.02, \
+        'number_of_iterations' :1500 ,\
+        'tolerance_constant':1e-06,\
+        'methodTV': 0 ,\
+        'nonneg': 1,
+        'lipschitz_const' : 8,
+        'tau' : 0.0025}
+        
+print ("#############PD TV CPU####################")
+start_time = timeit.default_timer()
+(pd_gpu,info_vec_gpu) = PD_TV(pars['input'], 
+              pars['regularisation_parameter'],
+              pars['number_of_iterations'],
+              pars['tolerance_constant'], 
+              pars['methodTV'],
+              pars['nonneg'],
+              pars['lipschitz_const'],
+              pars['tau'],'gpu')
+
+Qtools = QualityTools(Im, pd_gpu)
+pars['rmse'] = Qtools.rmse()
+
+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(pd_gpu, cmap="gray")
+plt.title('{}'.format('GPU results'))
+#%%
+print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
 print ("____________SB-TV regulariser______________")
 print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
 
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