MLAB-6469: small fixes, mainly indentation

mevislab.github.io/content/examples/visualization/example8/VisualizationExample8.mlab

@@ -350,14 +350,14 @@ CTX = ctx # ctx is the network's context, not RunPythonScript's"
 
 graph = ctx.field("DtfSkeletonization.outBase1").object()
 if graph is not None:
-  label = "Label"
-  print('Num edges', len(graph.getEdges()))
-  for edge in graph.getEdges():
-    end_node = edge.getEndNode()
-    for skeleton in edge.getSkeletons():
-      if label not in skeleton.properties:
-        skeleton.createPropertyDouble(label, skeleton.getProperty("MinDistance"))
-      skeleton.setProperty(label, skeleton.getProperty("MinDistance"))
+    label = "Label"
+    print('Num edges', len(graph.getEdges()))
+    for edge in graph.getEdges():
+        end_node = edge.getEndNode()
+        for skeleton in edge.getSkeletons():
+            if label not in skeleton.properties:
+                skeleton.createPropertyDouble(label, skeleton.getProperty("MinDistance"))
+            skeleton.setProperty(label, skeleton.getProperty("MinDistance"))
 
 ctx.field("GraphToVolume.update").touch()
 ctx.field("SoVascularSystem.apply").touch()*"

mevislab.github.io/content/tutorials/summary/summary3.md

@@ -590,7 +590,7 @@ Interface {
             max          = 1000
         }
         Field selected3DView {
-            type   = Enum
+            type = Enum
             items {
                 item Segmented {}
                 item File {}
@@ -606,7 +606,7 @@ Interface {
             title = Reset
         }
         Field markerPosition {
-            type         = Vector3
+            type = Vector3
         }
         Field applyMarker {
             type  = Trigger
@@ -687,7 +687,7 @@ Window {
               }
             }
             Box Info {
-                layout    = Horizontal
+                layout = Horizontal
                 Field totalVolume {}
             }
         }

mevislab.github.io/content/tutorials/testing/testingexample1.md

@@ -66,24 +66,24 @@ from mevis import *
 from TestSupport import Base, Fields, Logging
 from TestSupport.Macros import *
 
-filePath="C:/Program Files/<MeVisLab version>/Packages/MeVisLab/Resources/DemoData/BrainT1Dicom" 
+filePath = "C:/Program Files/<MeVisLab version>/Packages/MeVisLab/Resources/DemoData/BrainT1Dicom" 
 
 def OpenFiles():
-  ctx.field("DicomImport.inputMode").value = "Directory"
-  ctx.field("DicomImport.source").value = filePath
-  ctx.field("DicomImport.triggerImport").touch()
-  MLAB.processEvents()
-  while not ctx.field("DicomImport.ready").value:  
-    MLAB.sleep(1)
-    Base.ignoreWarningAndError(MLAB.processEvents)
-  ctx.field("DicomImport.selectNextItem").touch()
-  MLAB.log("Files imported from: " + ctx.field("DicomImport.source").value)
+    ctx.field("DicomImport.inputMode").value = "Directory"
+    ctx.field("DicomImport.source").value = filePath
+    ctx.field("DicomImport.triggerImport").touch()
+    MLAB.processEvents()
+    while not ctx.field("DicomImport.ready").value:  
+        MLAB.sleep(1)
+        Base.ignoreWarningAndError(MLAB.processEvents)
+    ctx.field("DicomImport.selectNextItem").touch()
+    MLAB.log("Files imported from: " + ctx.field("DicomImport.source").value)
 
 def TEST_DicomImport():
-  expectedValue = 1.0
-  OpenFiles() 
-  currentValue = ctx.field("DicomImport.progress").value
-  ASSERT_FLOAT_EQ(expectedValue, currentValue)
+    expectedValue = 1.0
+    OpenFiles() 
+    currentValue = ctx.field("DicomImport.progress").value
+    ASSERT_FLOAT_EQ(expectedValue, currentValue)
 ```
 {{</highlight>}}
 

mevislab.github.io/content/tutorials/testing/testingexample3.md

@@ -61,20 +61,20 @@ Add the Python function to your *.script* file:
 {{< highlight filename="IterativeTestCase.py" >}}
 ```Python
 def ITERATIVETEST_TestWindowCenter():
-  return testData, testPatient
+    return testData, testPatient
 ```
 {{</highlight>}}
 
 This function defines that <inlineCode>testPatient</inlineCode> shall be called for each entry available in the defined list <inlineCode>testData</inlineCode>. Define the function <inlineCode>testPatient</inlineCode>:
 {{< highlight filename="IterativeTestCase.py" >}}
 ```Python
 def testPatient(path, windowCenter):
-  ctx.field("LocalImage.name").value = patientPathPrefix + path
-  tree = ctx.field("LocalImage.outImage").getDicomTree()
-  importValue = str(tree.getTag("WindowCenter").value())
-  dicomValue = str(ctx.field("DicomTagViewer.tagValue0").value)
-  ASSERT_EQ(windowCenter, importValue, "Checking expected WindowCenter value against DICOM tree value.")
-  ASSERT_EQ(windowCenter, dicomValue, "Checking expected WindowCenter value against DicomTagViewer value.")
+    ctx.field("LocalImage.name").value = patientPathPrefix + path
+    tree = ctx.field("LocalImage.outImage").getDicomTree()
+    importValue = str(tree.getTag("WindowCenter").value())
+    dicomValue = str(ctx.field("DicomTagViewer.tagValue0").value)
+    ASSERT_EQ(windowCenter, importValue, "Checking expected WindowCenter value against DICOM tree value.")
+    ASSERT_EQ(windowCenter, dicomValue, "Checking expected WindowCenter value against DicomTagViewer value.")
 ```
 {{</highlight>}}
 
@@ -104,11 +104,11 @@ Now, extend your network by adding a `View2D` module and connect it with the `Lo
 {{< highlight filename="IterativeTestCase.py" >}}
 ```Python
 def testPatient(path, windowCenter):
-  ...
-  Fields.setValue("View2D.startSlice", 0)
-  result = ScreenShot.createOffscreenScreenShot("View2D.self", "screentest.png")
-  Logging.showImage("My screenshot", result)
-  Logging.showFile("Link to screenshot file", result)
+    ...
+    Fields.setValue("View2D.startSlice", 0)
+    result = ScreenShot.createOffscreenScreenShot("View2D.self", "screentest.png")
+    Logging.showImage("My screenshot", result)
+    Logging.showFile("Link to screenshot file", result)
 ```
 {{</highlight>}}
 

mevislab.github.io/content/tutorials/thirdparty/MONAI/monaiexample2.md

@@ -341,13 +341,13 @@ Let's implement the <inlineCode>_getImage</inlineCode> function first:
 ```Python
 ...
   def _getImage():
-    if ctx.field("SwapFlipDimensions.output0").isValid():
-        # Get image after all modifications have been done
-        image = ctx.field("SwapFlipDimensions.output0").image()
+      if ctx.field("SwapFlipDimensions.output0").isValid():
+          # Get image after all modifications have been done
+          image = ctx.field("SwapFlipDimensions.output0").image()
 
-        return image
-    else:
-        return None
+          return image
+      else:
+          return None
 ...
 ```
 {{</highlight>}}
@@ -447,7 +447,7 @@ Open the *.script* file and add a *Window* section. In this window, we reuse the
 ...
 Window {
     height = 100
-    width = 100
+    width  = 100
     Category {
         Viewer ROISelect.scene.self {
             type    = SoRenderArea

mevislab.github.io/content/tutorials/thirdparty/opencv/thirdpartyexample2.md

@@ -50,28 +50,28 @@ After loading the file, go to the previously implemented *grabImage* function an
 {{< highlight filename="<YOUR_MODULE_NAME>.py" >}}
 ```Python
 def grabImage():
-  _, img = camera.read()
-  updateImage(img)
-  gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-  faces = face_cascade.detectMultiScale(gray, 1.1, 4)
-  for (x, y, w, h) in faces:
-    cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
-  # Display the output
-  cv2.imshow('img', img)
+    _, img = camera.read()
+    updateImage(img)
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    faces = face_cascade.detectMultiScale(gray, 1.1, 4)
+    for (x, y, w, h) in faces:
+        cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
+    # Display the output
+    cv2.imshow('img', img)
 ```
 {{</highlight>}}
 
 In the end, destroy all OpenCV windows in *releaseCamera* function.
 {{< highlight filename="<YOUR_MODULE_NAME>.py" >}}
 ```Python
 def releaseCamera(_):
-  global camera, _interfaces
-  ctx.removeTimers()
-  _interfaces = []
-  if camera:
-    camera.release()
-    camera = None
-  cv2.destroyAllWindows()
+    global camera, _interfaces
+    ctx.removeTimers()
+    _interfaces = []
+    if camera:
+        camera.release()
+        camera = None
+    cv2.destroyAllWindows()
 ```
 {{</highlight>}}
 

mevislab.github.io/content/tutorials/visualization/visualizationexample8.md

@@ -76,8 +76,8 @@ ctx.field("DtfSkeletonization.update").touch()
 
 graph = ctx.field("DtfSkeletonization.outBase1").object()
 if graph is not None:
-  for edge in graph.getEdges():
-    print(edge.getId())
+    for edge in graph.getEdges():
+        print(edge.getId())
 
 ctx.field("GraphToVolume.update").touch()
 ```
@@ -108,12 +108,12 @@ ctx.field("DtfSkeletonization.update").touch()
 
 graph = ctx.field("DtfSkeletonization.outBase1").object()
 if graph is not None:
-  label = "Label"
-  for edge in graph.getEdges():
-    for skeleton in edge.getSkeletons():
-      if label not in skeleton.properties:
-        skeleton.createPropertyDouble(label, edge.getId())
-      skeleton.setProperty(label, edge.getId())
+    label = "Label"
+    for edge in graph.getEdges():
+        for skeleton in edge.getSkeletons():
+            if label not in skeleton.properties:
+                skeleton.createPropertyDouble(label, edge.getId())
+            skeleton.setProperty(label, edge.getId())
 
 ctx.field("GraphToVolume.update").touch()
 ```
@@ -182,14 +182,14 @@ ctx.field("DtfSkeletonization.update").touch()
 
 graph = ctx.field("DtfSkeletonization.outBase1").object()
 if graph is not None:
-  label = "Label"
-  print('Num edges', len(graph.getEdges()))
-  for edge in graph.getEdges():
-    end_node = edge.getEndNode()
-    for skeleton in edge.getSkeletons():
-      if label not in skeleton.properties:
-        skeleton.createPropertyDouble(label, skeleton.getProperty("MinDistance"))
-      skeleton.setProperty(label, skeleton.getProperty("MinDistance"))
+    label = "Label"
+    print('Num edges', len(graph.getEdges()))
+    for edge in graph.getEdges():
+        end_node = edge.getEndNode()
+        for skeleton in edge.getSkeletons():
+            if label not in skeleton.properties:
+                skeleton.createPropertyDouble(label, skeleton.getProperty("MinDistance"))
+            skeleton.setProperty(label, skeleton.getProperty("MinDistance"))
 
 ctx.field("GraphToVolume.update").touch()
 ctx.field("SoVascularSystem.apply").touch()