modified gpu regularizers build

1 files changed, 16 insertions, 14 deletions

diff --git a/Wrappers/Python/test/test_gpu_regularizers.py b/Wrappers/Python/test/test_gpu_regularizers.py
index ff8af44..9e37627 100644
--- a/Wrappers/Python/test/test_gpu_regularizers.py
+++ b/Wrappers/Python/test/test_gpu_regularizers.py
@@ -50,14 +50,15 @@ u0 = f(u0).astype('float32')
 ## plot 
 fig = plt.figure()
 
-a=fig.add_subplot(2,3,1)
+a=fig.add_subplot(2,4,1)
 a.set_title('noise')
 imgplot = plt.imshow(u0,cmap="gray")
 
 
 ## Diff4thHajiaboli
 start_time = timeit.default_timer()
-pars = {'algorithm' : Diff4thHajiaboli , \
+pars = {
+'algorithm' : Diff4thHajiaboli , \
         'input' : u0,
         'edge_preserv_parameter':0.1 , \
 'number_of_iterations' :250 ,\
@@ -76,7 +77,7 @@ pars['rmse'] = rms
 txtstr = printParametersToString(pars)
 txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
 print (txtstr)
-a=fig.add_subplot(2,3,2)
+a=fig.add_subplot(2,4,2)
 
 # these are matplotlib.patch.Patch properties
 props = dict(boxstyle='round', facecolor='wheat', alpha=0.75)
@@ -85,14 +86,14 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=12,
          verticalalignment='top', bbox=props)
 imgplot = plt.imshow(d4h, cmap="gray")
 
-a=fig.add_subplot(2,3,5)
+a=fig.add_subplot(2,4,6)
 
 # these are matplotlib.patch.Patch properties
 props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
 # place a text box in upper left in axes coords
 a.text(0.05, 0.95, 'd4h - u0', transform=a.transAxes, fontsize=12,
          verticalalignment='top', bbox=props)
-imgplot = plt.imshow((d4h - u0)**2, cmap="gray")
+imgplot = plt.imshow((d4h - u0), cmap="gray")
 
 
 ## Patch Based Regul NML
@@ -107,6 +108,7 @@ pars = {'algorithm' : NML , \
 }
 """
 pars = {
+'algorithm' : NML , \
         'input' : u0,
         'regularization_parameter': 0.01,\
         'searching_window_ratio':3, \
@@ -124,7 +126,7 @@ pars['rmse'] = rms
 txtstr = printParametersToString(pars)
 txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
 print (txtstr)
-a=fig.add_subplot(2,3,3)
+a=fig.add_subplot(2,4,3)
 
 # these are matplotlib.patch.Patch properties
 props = dict(boxstyle='round', facecolor='wheat', alpha=0.75)
@@ -133,22 +135,22 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=12,
          verticalalignment='top', bbox=props)
 imgplot = plt.imshow(nml, cmap="gray")
 
-a=fig.add_subplot(2,3,6)
+a=fig.add_subplot(2,4,7)
 
 # these are matplotlib.patch.Patch properties
 props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
 # place a text box in upper left in axes coords
 a.text(0.05, 0.95, 'nml - u0', transform=a.transAxes, fontsize=14,
          verticalalignment='top', bbox=props)
-imgplot = plt.imshow((nml - u0)**2, cmap="gray")
+imgplot = plt.imshow((nml - u0), cmap="gray")
 
-plt.show()
         
         
 ## Rudin-Osher-Fatemi (ROF) TV regularization
 start_time = timeit.default_timer()
 
 pars = {
+'algorithm' : GPU_ROF_TV , \
         'input' : u0,
         'regularization_parameter': 1,\
         'time_marching_parameter': 0.003, \
@@ -158,29 +160,29 @@ pars = {
 rof_tv = GPU_ROF_TV(pars['input'], 
                      pars['number_of_iterations'], 
                      pars['time_marching_parameter'], 
-                     pars['number_of_iterations'])
+                     pars['regularization_parameter'])
                      
 rms = rmse(Im, rof_tv)
 pars['rmse'] = rms
 txtstr = printParametersToString(pars)
 txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
 print (txtstr)
-a=fig.add_subplot(2,4,1)
+a=fig.add_subplot(2,4,4)
 
 # 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=12,
          verticalalignment='top', bbox=props)
-imgplot = plt.imshow(nml, cmap="gray")
+imgplot = plt.imshow(rof_tv, cmap="gray")
 
-a=fig.add_subplot(2,4,2)
+a=fig.add_subplot(2,4,8)
 
 # these are matplotlib.patch.Patch properties
 props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
 # place a text box in upper left in axes coords
 a.text(0.05, 0.95, 'rof_tv - u0', transform=a.transAxes, fontsize=14,
          verticalalignment='top', bbox=props)
-imgplot = plt.imshow((rof_tv - u0)**2, cmap="gray")
+imgplot = plt.imshow((rof_tv - u0), cmap="gray")
 
 plt.show()