Fix dtype NumObjects

pyradiomics_radler/myfirstorder.py

@@ -226,7 +226,6 @@ class MyRadiomicsFirstOrder(MyRadiomicsFeaturesBase):
 
         return numpy.mean(neighborsMax[~numpy.isnan(neighborsMax)])
 
-
     def getInactiveVolumeFeatureValue(self):
         r"""
         **26. Inactive volume **
@@ -243,8 +242,6 @@ class MyRadiomicsFirstOrder(MyRadiomicsFeaturesBase):
         ROIPet = self.imageArray
         mask = self.maskArray
 
-        ROIPet[~mask] = 0
-
         thresh = 0.01 * (numpy.max(ROIPet[~numpy.isnan(ROIPet)]) ** 2)
 
         mask_inactive = ROIPet > thresh
@@ -290,17 +287,18 @@ class MyRadiomicsFirstOrder(MyRadiomicsFeaturesBase):
                 mask_inactive = oc.imclose(mask_inactive, conn)
                 mask_inactive = oc.imopen(mask_inactive, conn)
                 new_mask = mask_inactive + perimeter
-                new_mask[mask == 0] = 10
+
                 new_mask[new_mask == 1] = 10
                 new_mask[new_mask == 2] = 10
                 new_mask[new_mask == 0] = 1
                 new_mask[new_mask == 10] = 0
 
                 connObjects = oc.bwconncomp(new_mask, 26)
-                b = numpy.zeros((1, connObjects.NumObjects))
 
-                for i in range(connObjects.NumObjects):
-                    a = oc.find(
+                b = numpy.zeros((1, int(connObjects.NumObjects)))
+
+                for i in range(int(connObjects.NumObjects)):
+                    a = numpy.where(
                         len(connObjects.PixelIdxList[i]) >= 15
                     )  # If the number of of pixel forming and object is lower than 15, reject it
                     if a.size == 0:
@@ -308,8 +306,7 @@ class MyRadiomicsFirstOrder(MyRadiomicsFeaturesBase):
                     else:
                         b[i] = 1
 
-                [row, col] = oc.find(b > 0)
-
+                row, col = numpy.where(b > 0)
                 sumInactive = 0
 
                 for i in range(len(col)):
@@ -318,9 +315,6 @@ class MyRadiomicsFirstOrder(MyRadiomicsFeaturesBase):
                     )
 
                 sumVolume = numpy.sum(mask)
-                import ipdb
-
-                ipdb.set_trace()
 
             except Oct2PyError as e:
                 print(e)