Fixed errors when blur is off

commit/trk2dictionary/trk2dictionary.pyx

@@ -127,15 +127,21 @@ cpdef run( filename_tractogram=None, path_out=None, filename_peaks=None, filenam
     else :
         ERROR( '"fiber_shift" must be a scalar or a vector with 3 elements' )
 
-    # check for invalid parameters
-    if len(blur_radii) != len(blur_samples) :
-        ERROR( 'The number of blur radii and blur samples must match' )
-
-    if np.count_nonzero( blur_radii<=0 ):
-        ERROR( 'A blur radius was <= 0; only positive radii can be used' )
+    # check for invalid parameters in the blur
+    if type(blur_radii)==list:
+        blur_radii = np.ndarray(blur_radii, np.double)
+    if type(blur_samples)==list:
+        blur_samples = np.ndarray(blur_samples, np.int32)
+
+    if blur_sigma > 0 :
+        if blur_radii.size != blur_samples.size :
+            ERROR( 'The number of blur radii and blur samples must match' )
+
+        if np.count_nonzero( blur_radii<=0 ):
+            ERROR( 'A blur radius was <= 0; only positive radii can be used' )
 
-    if np.count_nonzero( blur_samples<1 ):
-        ERROR( 'Please specify at least 1 sample per blur radius' )
+        if np.count_nonzero( blur_samples<1 ):
+            ERROR( 'Please specify at least 1 sample per blur radius' )
 
     tic = time.time()
     LOG( '\n-> Creating the dictionary from tractogram:' )
@@ -172,10 +178,6 @@ cpdef run( filename_tractogram=None, path_out=None, filename_peaks=None, filenam
         blurSamples = np.array( [1], np.int32 )
         blurWeights = np.array( [1], np.double )
     else:
-        if type(blur_radii)==list:
-            blur_radii = np.ndarray(blur_radii, np.double)
-        if type(blur_samples)==list:
-            blur_samples = np.ndarray(blur_samples, np.int32)
         nBlurRadii = len(blur_radii)+1
         blurRadii = np.insert( blur_radii, 0, 0.0 ).astype(np.double)
         blurSamples = np.insert( blur_samples, 0, 1 ).astype(np.int32)