From 68a856fc579ea99c271da2f4f81a394e9eea6bfa Mon Sep 17 00:00:00 2001
From: Edoardo Pasca <edo.paskino@gmail.com>
Date: Tue, 30 Jan 2018 12:06:26 +0000
Subject: added test_gpu_regularizer.py in test

---
 Wrappers/Python/test/test_gpu_regularizers.py | 131 ++++++++++++++++++++++++++
 1 file changed, 131 insertions(+)
 create mode 100644 Wrappers/Python/test/test_gpu_regularizers.py

(limited to 'Wrappers/Python')

diff --git a/Wrappers/Python/test/test_gpu_regularizers.py b/Wrappers/Python/test/test_gpu_regularizers.py
new file mode 100644
index 0000000..1a78132
--- /dev/null
+++ b/Wrappers/Python/test/test_gpu_regularizers.py
@@ -0,0 +1,131 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Jan 30 10:24:26 2018
+
+@author: ofn77899
+"""
+
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+import os    
+from enum import Enum
+import timeit
+from ccpi.filters.gpu_regularizers import Diff4thHajiaboli, NML
+###############################################################################
+def printParametersToString(pars):
+        txt = r''
+        for key, value in pars.items():
+            if key== 'algorithm' :
+                txt += "{0} = {1}".format(key, value.__name__)
+            elif key == 'input':
+                txt += "{0} = {1}".format(key, np.shape(value))
+            else:
+                txt += "{0} = {1}".format(key, value)
+            txt += '\n'
+        return txt
+###############################################################################
+        
+filename = os.path.join(".." , ".." , ".." , "data" ,"lena_gray_512.tif")
+#filename = r"C:\Users\ofn77899\Documents\GitHub\CCPi-FISTA_reconstruction\data\lena_gray_512.tif"
+#filename = r"/home/ofn77899/Reconstruction/CCPi-FISTA_Reconstruction/data/lena_gray_512.tif"
+#filename = r'/home/algol/Documents/Python/STD_test_images/lena_gray_512.tif'
+
+Im = plt.imread(filename)                     
+Im = np.asarray(Im, dtype='float32')
+
+perc = 0.15
+u0 = Im + np.random.normal(loc = Im ,
+                                  scale = perc * Im , 
+                                  size = np.shape(Im))
+# map the u0 u0->u0>0
+f = np.frompyfunc(lambda x: 0 if x < 0 else x, 1,1)
+u0 = f(u0).astype('float32')
+
+## plot 
+fig = plt.figure()
+
+a=fig.add_subplot(2,3,1)
+a.set_title('noise')
+imgplot = plt.imshow(u0#,cmap="gray"
+                     )
+
+
+## Diff4thHajiaboli
+start_time = timeit.default_timer()
+pars = {'algorithm' : Diff4thHajiaboli , \
+        'input' : u0,
+        'regularization_parameter':0.02 , \
+'number_of_iterations' :150 ,\
+'edge_preserving_parameter':0.001 
+}
+d4h = Diff4thHajiaboli(pars['input'], 
+                     pars['regularization_parameter'], 
+                     pars['number_of_iterations'], 
+                     pars['edge_preserving_parameter'])
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+a=fig.add_subplot(2,3,2)
+
+# 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, txtstr, transform=a.transAxes, fontsize=14,
+         verticalalignment='top', bbox=props)
+imgplot = plt.imshow(d4h #, cmap="gray"
+                     )
+
+a=fig.add_subplot(2,3,5)
+
+# 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=14,
+         verticalalignment='top', bbox=props)
+imgplot = plt.imshow(d4h - u0 #, cmap="gray"
+                     )
+
+
+## Patch Based Regul NML
+start_time = timeit.default_timer()
+
+pars = {'algorithm' : NML , \
+        'input' : u0,
+        'SearchW_real':3 , \
+'SimilW' :1,\
+'h':0.05 ,#
+'lambda' : 0.08
+}
+nml = NML(pars['input'], 
+                     pars['SearchW_real'], 
+                     pars['SimilW'], 
+                     pars['h'],
+                     pars['lambda'])
+txtstr = printParametersToString(pars)
+txtstr += "%s = %.3fs" % ('elapsed time',timeit.default_timer() - start_time)
+print (txtstr)
+a=fig.add_subplot(2,3,3)
+
+# 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, txtstr, transform=a.transAxes, fontsize=14,
+         verticalalignment='top', bbox=props)
+imgplot = plt.imshow(nml #, cmap="gray"
+                     )
+
+a=fig.add_subplot(2,3,6)
+
+# 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, 'nml - u0', transform=a.transAxes, fontsize=14,
+         verticalalignment='top', bbox=props)
+imgplot = plt.imshow(nml - u0 #, cmap="gray"
+                     )
+
+plt.show()
+        
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