From 14edd18d07c871c0a355d70e68350a899014dbc7 Mon Sep 17 00:00:00 2001
From: algol <dkazanc@hotmail.com>
Date: Wed, 2 May 2018 13:11:50 +0100
Subject: bugs in NVM fixed

---
 .../inpainters_CPU/NonlocalMarching_Inpaint_core.c | 48 +++++++++++++++++-----
 Wrappers/Python/demos/demo_cpu_inpainters.py       |  6 ++-
 Wrappers/Python/src/cpu_regularisers.pyx           | 12 +++---
 3 files changed, 48 insertions(+), 18 deletions(-)

diff --git a/Core/inpainters_CPU/NonlocalMarching_Inpaint_core.c b/Core/inpainters_CPU/NonlocalMarching_Inpaint_core.c
index 3a846bb..a197375 100644
--- a/Core/inpainters_CPU/NonlocalMarching_Inpaint_core.c
+++ b/Core/inpainters_CPU/NonlocalMarching_Inpaint_core.c
@@ -42,7 +42,7 @@ float NonlocalMarching_Inpaint_main(float *Input, unsigned char *M, float *Outpu
 {
     int i, j, i_m, j_m, counter, iter, iterations_number, W_fullsize, switchmask, switchcurr, counterElements;
     float *Gauss_weights;
-    
+
     /* copying M to M_upd */
     copyIm_unchar(M, M_upd, dimX, dimY, 1);
     
@@ -54,11 +54,11 @@ float NonlocalMarching_Inpaint_main(float *Input, unsigned char *M, float *Outpu
         iterations_number = 0;
         for (i=0; i<dimY*dimX; i++) {
             if (M[i] == 1) iterations_number++;
-        }
+        }        
+        if ((int)(iterations_number/dimY) > dimX) iterations_number = dimX;    
     }
-    else iterations_number = (int)(iterationsNumb/dimX);
-    if (iterations_number > dimX) iterations_number = dimX;
-    
+    else iterations_number = iterationsNumb;    
+  
     if (iterations_number == 0) printf("%s \n", "Nothing to inpaint, zero mask!");
     else {
         
@@ -81,11 +81,38 @@ float NonlocalMarching_Inpaint_main(float *Input, unsigned char *M, float *Outpu
                     counter++;
                 }
             }
+            
+            if (trigger == 0) {
+				/*Matlab*/
+			#pragma omp parallel for shared(Output, M_upd, Gauss_weights) private(i, j, switchmask, switchcurr) 
+             for(j=0; j<dimY; j++) {
+                 switchmask = 0;
+                 for(i=0; i<dimX; i++) {                
+                     switchcurr = 0;
+                     if ((M_upd[j*dimX + i] == 1) && (switchmask == 0)) {
+                         /* perform inpainting of the current pixel */
+                         inpaint_func(Output, M_upd, Gauss_weights, i, j, dimX, dimY, W_halfsize, W_fullsize);
+                         /* add value to the mask*/
+                         M_upd[j*dimX + i] = 0;
+                         switchmask = 1; switchcurr = 1;
+                     }
+                     if ((M_upd[j*dimX + i] == 0) && (switchmask == 1) && (switchcurr == 0)) {                        
+                         /* perform inpainting of the previous (i-1) pixel */
+                         inpaint_func(Output, M_upd, Gauss_weights, i-1, j, dimX, dimY, W_halfsize, W_fullsize);
+                         /* add value to the mask*/
+                         M_upd[(j)*dimX + i-1] = 0;                 
+                         switchmask = 0;                        
+                     }
+                 }
+             }   
+				}
+				else {
+					/*Python*/            
             /* find a point in the mask to inpaint */
 #pragma omp parallel for shared(Output, M_upd, Gauss_weights) private(i, j, switchmask, switchcurr)            
-            for(j=0; j<dimY; j++) {
-                switchmask = 0;
-                for(i=0; i<dimX; i++) {                
+              for(i=0; i<dimX; i++) {
+                switchmask = 0;                
+                for(j=0; j<dimY; j++) {
                     switchcurr = 0;
                     if ((M_upd[j*dimX + i] == 1) && (switchmask == 0)) {
                         /* perform inpainting of the current pixel */
@@ -96,13 +123,14 @@ float NonlocalMarching_Inpaint_main(float *Input, unsigned char *M, float *Outpu
                     }
                     if ((M_upd[j*dimX + i] == 0) && (switchmask == 1) && (switchcurr == 0)) {                        
                         /* perform inpainting of the previous (j-1) pixel */
-                        inpaint_func(Output, M_upd, Gauss_weights, i-1, j, dimX, dimY, W_halfsize, W_fullsize);
+                        inpaint_func(Output, M_upd, Gauss_weights, i, j-1, dimX, dimY, W_halfsize, W_fullsize);
                         /* add value to the mask*/
-                        M_upd[(j)*dimX + i-1] = 0;                 
+                        M_upd[(j-1)*dimX + i] = 0;                 
                         switchmask = 0;                        
                     }
                 }
             }
+		}
             free(Gauss_weights);
             
             /* check if possible to terminate iterations earlier */
diff --git a/Wrappers/Python/demos/demo_cpu_inpainters.py b/Wrappers/Python/demos/demo_cpu_inpainters.py
index 7f452c1..9197e91 100644
--- a/Wrappers/Python/demos/demo_cpu_inpainters.py
+++ b/Wrappers/Python/demos/demo_cpu_inpainters.py
@@ -55,6 +55,7 @@ plt.imshow(mask)
 plt.title('Mask')
 plt.show()
 #%%
+"""
 print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
 print ("___Inpainting using linear diffusion (2D)__")
 print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
@@ -111,7 +112,7 @@ fig = plt.figure(3)
 plt.suptitle('Performance of nonlinear diffusion inpainting using the CPU')
 a=fig.add_subplot(1,2,1)
 a.set_title('Missing data sinogram')
-imgplot = plt.imshow(sino_cut,cmap="gray")
+imgplot = plt.imshow(sino_cut_new,cmap="gray")
 
 # set parameters
 pars = {'algorithm' : NDF_INP, \
@@ -148,6 +149,7 @@ a.text(0.15, 0.25, txtstr, transform=a.transAxes, fontsize=14,
          verticalalignment='top', bbox=props)
 imgplot = plt.imshow(ndf_inp_nonlinear, cmap="gray")
 plt.title('{}'.format('Nonlinear diffusion inpainting results'))
+"""
 #%%
 print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
 print ("Inpainting using nonlocal vertical marching")
@@ -165,7 +167,7 @@ pars = {'algorithm' : NVM_INP, \
         'input' : sino_cut_new,\
         'maskData' : mask,\
         'SW_increment': 1,\
-        'number_of_iterations' :0
+        'number_of_iterations' : 150
         }
         
 start_time = timeit.default_timer()
diff --git a/Wrappers/Python/src/cpu_regularisers.pyx b/Wrappers/Python/src/cpu_regularisers.pyx
index 7c06c28..732b4cb 100644
--- a/Wrappers/Python/src/cpu_regularisers.pyx
+++ b/Wrappers/Python/src/cpu_regularisers.pyx
@@ -27,7 +27,6 @@ cdef extern float dTV_FGP_CPU_main(float *Input, float *InputRef, float *Output,
 
 cdef extern float Diffusion_Inpaint_CPU_main(float *Input, unsigned char *Mask, float *Output, float lambdaPar, float sigmaPar, int iterationsNumb, float tau, int penaltytype, int dimX, int dimY, int dimZ);
 cdef extern float NonlocalMarching_Inpaint_main(float *Input, unsigned char *M, float *Output, unsigned char *M_upd, int SW_increment, int iterationsNumb, int dimX, int dimY, int dimZ);
-
 #****************************************************************#
 #********************** Total-variation ROF *********************#
 #****************************************************************#
@@ -374,14 +373,14 @@ def NDF_INP_3D(np.ndarray[np.float32_t, ndim=3, mode="c"] inputData,
 #*********************Inpainting WITH****************************#
 #***************Nonlocal Vertical Marching method****************#
 #****************************************************************#
-def NVM_INPAINT_CPU(inputData, maskData, SW_increment, iterations):
+def NVM_INPAINT_CPU(inputData, maskData, SW_increment, iterationsNumb):
     if inputData.ndim == 2:
-        return NVM_INP_2D(inputData, maskData, SW_increment, iterations)
+        return NVM_INP_2D(inputData, maskData, SW_increment, iterationsNumb)
     elif inputData.ndim == 3:
         return 
 
 def NVM_INP_2D(np.ndarray[np.float32_t, ndim=2, mode="c"] inputData, 
-               np.ndarray[np.uint8_t, ndim=2, mode="c"] maskData,                     
+               np.ndarray[np.uint8_t, ndim=2, mode="c"] maskData,
                      int SW_increment,
                      int iterationsNumb):
     cdef long dims[2]
@@ -395,7 +394,8 @@ def NVM_INP_2D(np.ndarray[np.float32_t, ndim=2, mode="c"] inputData,
             np.zeros([dims[0],dims[1]], dtype='uint8')
     
     # Run Inpaiting by Nonlocal vertical marching method for 2D data 
-    NonlocalMarching_Inpaint_main(&inputData[0,0], &maskData[0,0], &outputData[0,0], &maskData_upd[0,0],
-    SW_increment, iterationsNumb,dims[1], dims[0], 1)
+    NonlocalMarching_Inpaint_main(&inputData[0,0], &maskData[0,0], &outputData[0,0], 
+                                  &maskData_upd[0,0],
+                                  SW_increment, iterationsNumb, dims[1], dims[0], 1)
     
     return (outputData, maskData_upd)
-- 
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