Grammar checks

README.md

@@ -5,10 +5,9 @@ This is the repository for the [MeVisLab Tutorials and Examples GitHub pages](ht
 ## Configuration
 
 ### Local Deployment
-* Checkout the code
+* Check out the code
 * Install _extended_ hugo from the [Hugo Website](https://gohugo.io/)
-* Install npm e.g. from [npmjs Website](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)
-* Change to the *mevislab.github.io* folder and run `npm install`
-* Stay in this folder and run `hugo server -d public --baseURL //localhost/examples/` (the `/examples/` path is not needed, 
-  but it helps to find problems that might appear on the published website)
-* Open the given URL in your favorite browser 
+* Install npm, e.g., from [npmjs Website](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)
+* Change to mevislab.github.io folder and run `npm install`
+* Stay in this folder and run `hugo server -d public --baseURL //localhost/examples/` (The `/examples/` path is locally not absolute necessary but it helps to find problems that might appear on the production website.)
+* Open the given URL in your favorite browser

mevislab.github.io/content/about/about.md

@@ -5,6 +5,7 @@ draft: false
 status: "OK"
 tags: ["Symbols", "Glossary", "Overview"]
 ---
+
 ## Symbols
 We embedded three symbols, referencing additional info, tasks, and warnings:
 {{<alert class="info" caption="Info">}}

mevislab.github.io/content/contact.md

@@ -3,6 +3,7 @@ title: "Contact"
 date: 2022-06-15T08:54:53+02:00
 draft: false
 ---
+
 ### Feedback is Valuable and Always Appreciated! 
 
 #### MeVisLab Licensing

mevislab.github.io/content/examples/basic_mechanisms/contour_filter/index.md

@@ -11,7 +11,7 @@ This example shows how to create a contour filter.
 Images are loaded via `ImageLoad` module and visualized unchanged in a `View2D` module *View2D1*.
 Additionally, the images are modified by a local macro module `Filter` and shown in another `View2D` viewer *View2D*.
 
-In order to display the same slice (unchanged and changed), the module `SyncFloat` is used to synchronize the field value *startSlice* in both viewers. The `SyncFloat` module duplicates the value *Float1* to the field *Float2*.
+In order to display the same slice (unchanged and changed), the module `SyncFloat` is used to synchronize the field value *startSlice* in both viewers. The `SyncFloat` module duplicates the value *Float1* to the field *Float2* if it differs by *Epsilon*.
 
 ![Screenshot](examples/basic_mechanisms/contour_filter/image.png)
 

mevislab.github.io/content/examples/basic_mechanisms/macro_modules_and_module_interaction/example1/index.md

@@ -1,11 +1,11 @@
 ---
 layout: post
-title: "Panel for the contour filter"
+title: "Panel for the Contour Filter"
 category: "basic_mechanisms"
 ---
 
 # Example 1: Panel for the Contour Filter
-This example contains a whole package structure. Inside you can find the example contour filter for which a panel was created.
+This example contains an entire package structure. Inside, you can find the example contour filter for which a panel was created.
 
 ## Summary
 A new macro module `Filter` has been created. Initially, macro modules do not provide an own panel containing user interface elements such as buttons. The *Automatic Panel* is shown on double-clicking the module providing the name of the module.

mevislab.github.io/content/examples/basic_mechanisms/macro_modules_and_module_interaction/example2/index.md

@@ -1,6 +1,6 @@
 ---
 layout: post
-title: "Python scripting"
+title: "Python Scripting"
 category: "basic_mechanisms"
 ---
 
@@ -10,7 +10,7 @@ This example shows how to create module interactions via Python scripting.
 ## Summary
 A new macro module `IsoCSOs` is created providing two viewers in its internal network, `View2D` and `SoExaminerViewer`. Both viewers are included in the panel of the module.
 
-To showcase how Python functions can be implemented in MeVisLab and called from within a module, additional buttons to browse directories and create contours via the `CSOIsoGenerator` are added. Lastly, a field listener is implemented reacting to field changes by colorizing contours when the user hovers over them with the mouse. 
+To showcase how Python functions can be implemented in MeVisLab and called from within a module, additional buttons to browse directories and create contours via the `CSOIsoGenerator` are added. Lastly, a field listener is implemented that reacts to field changes by colorizing contours when the user hovers over them with the mouse. 
 
 ![Screenshot](examples/basic_mechanisms/macro_modules_and_module_interaction/example2/image2.png)
 

mevislab.github.io/content/examples/basic_mechanisms/viewer_application/index.md

@@ -1,6 +1,6 @@
 ---
 layout: post
-title: "Creating a simple application"
+title: "Creating a Simple Application"
 category: "basic_mechanisms"
 ---
 

mevislab.github.io/content/examples/data_objects/contours/example1/index.md

@@ -35,9 +35,9 @@ In this example, contours are created and colors and styles of these CSOs are cu
 ![Screenshot](examples/data_objects/contours/example1/image.png)
 
 ## Summary
-+ Contours are stored as their own abstract data type called Contour Segmentation Objects (often abbreviated to *CSO*).
-+ The `SoCSO\*Editor` module group contains several useful modules to create, interact with or modify CSOs.
-+ Created CSOs are temporarily stored and can be managed using the `CSOManager`.
+* Contours are stored as their own abstract data type called Contour Segmentation Objects (often abbreviated to *CSO*).
+* The `SoCSO\*Editor` module group contains several useful modules to create, interact with or modify CSOs.
+* Created CSOs are temporarily stored and can be managed using the `CSOManager`.
 
 # Download
 The example network can be downloaded [here](examples/data_objects/contours/example1/ContourExample1.mlab)

mevislab.github.io/content/examples/data_objects/contours/example2/index.md

@@ -1,14 +1,14 @@
 ---
 layout: post
-title: "Contour interpolation"
+title: "Contour Interpolation"
 category: "data_objects"
 ---
 
 # Contour Example 2: Contour Interpolation
 This example shows how to interpolate CSOs across slices.
 
 ## Summary
-In this example, semi-automatic countours are created using the `SoCSOLiveWireEditor` module and their visualization is modified using the `SoCSOVisualizationSettings` module.
+In this example, semiautomatic countours are created using the `SoCSOLiveWireEditor` module and their visualization is modified using the `SoCSOVisualizationSettings` module.
 
 Additional contours between the manually created ones are generated by the `CSOSliceInterpolator` and added to the `CSOManager`. Different groups of contours are created for the left and right lobe of the lung and colored respectively.
 

mevislab.github.io/content/examples/data_objects/contours/example3/index.md

@@ -1,6 +1,6 @@
 ---
 layout: post
-title: "2D and 3D visualization of contours"
+title: "2D and 3D Visualization of Contours"
 category: "data_objects"
 ---
 

mevislab.github.io/content/examples/data_objects/contours/example4/index.md

@@ -1,14 +1,14 @@
 ---
 layout: post
-title: "Annotation of images"
+title: "Annotation of Images"
 category: "data_objects"
 ---
 
 # Contour Example 4: Annotation of Images
 This example shows how to add annotations to an image.
 
 ## Summary
-In this example, the network of **Contour Example 3** is extended so that the volume of the 3D mask generated by the `VoxelizeCSO` module is calculated. The `CalculateVolume` module counts the number of voxels in the given mask and returns the correct volume in ml. The calculated volume will be used for a custom `SoView2DAnnotation` displayed in the `View2D`. 
+In this example, the network of **Contour Example 3** is extended, so that the volume of the 3D mask generated by the `VoxelizeCSO` module is calculated. The `CalculateVolume` module counts the number of voxels in the given mask and returns the correct volume in ml. The calculated volume will be used for a custom `SoView2DAnnotation` displayed in the `View2D`. 
 
 ![Screenshot](examples/data_objects/contours/example4/image.png)
 

mevislab.github.io/content/examples/data_objects/contours/example5/index.md

@@ -1,16 +1,16 @@
 ---
 layout: post
-title: "Contours and ghosting"
+title: "Contours and Ghosting"
 category: "data_objects"
 ---
 
 # Contour Example 5: Contours and Ghosting
-This image shows how to automatically create CSOs based on isovalues. In addition, the visualization of CSOs of previous and subsequent slices is shown.
+This image shows how to automatically create CSOs based on isovalues. In addition, the visualization of CSOs on previous and subsequent slices is shown.
 
 ## Summary
-In this example, the `CSOIsoGenerator` is used to generate contours based on a given isovalue of the image. Contours are generated in the image where the given isovalue is close to the one configured. These contours are stored in the `CSOManager` and ghosting is activated in the `SoCSOVisualizationSettings`.
+In this example, the `CSOIsoGenerator` is used to generate contours based on a given isovalue out of the image. Contours are generated in the image where the given isovalue is close to the one configured. These contours are stored in the `CSOManager` and ghosting is activated in the `SoCSOVisualizationSettings`.
 
-Ghosting means not only showing contours available on the currently visible slice but also contours of the neighbouring slices with increasing transparency.
+"Ghosting" means not only showing contours available on the currently visible slice but also contours on the neighboring slices with increasing transparency.
 
 The contours are also displayed in a three-dimensionsl `SoExaminerViewer` by using the `SoCSO3DRenderer`.
 

mevislab.github.io/content/examples/data_objects/curves/example1/index.md

@@ -1,6 +1,6 @@
 ---
 layout: post
-title: "Drawing curves"
+title: "Drawing Curves"
 category: "data_objects"
 ---
 

mevislab.github.io/content/examples/data_objects/markers/example1/index.md

@@ -1,6 +1,6 @@
 ---
 layout: post
-title: "Distance between markers"
+title: "Distance Between Markers"
 category: "data_objects"
 ---
 

mevislab.github.io/content/examples/data_objects/surface_objects/example2/index.md

@@ -1,10 +1,10 @@
 ---
 layout: post
-title: "Processing and modification of WEMs"
+title: "Processing and Modifying of WEMs"
 category: "data_objects"
 ---
 
-# Surface Example 2: Processing and Modification of WEMs
+# Surface Example 2: Processing and Modifying of WEMs
 This example shows how to process and modify WEMs using the modules `WEMModify`, `WEMSmooth`, and `WEMSurfaceDistance`.
 ![Screenshot](examples/data_objects/surface_objects/example2/DO7_03.png)
 

mevislab.github.io/content/examples/data_objects/surface_objects/example3/index.md

@@ -1,10 +1,11 @@
 ---
 layout: post
-title: "Apply transformations on a 3D WEM object via mouse interactions"
+title: "Apply Transformations to a 3D WEM Object Via Mouse Interactions"
 category: "data_objects"
 ---
 
-# Surface Example 3: Interactions with WEM
+# Surface Example 3: Interactions With WEM
+
 ## Scale, Rotate, and Move a WEM in a Scene
 In this example, we are using a `SoTransformerDragger` module to apply transformations on a 3D WEM object via mouse interactions.
 ![Screenshot](examples/data_objects/surface_objects/example3/image.png)

mevislab.github.io/content/examples/data_objects/surface_objects/example4/index.md

@@ -1,6 +1,6 @@
 ---
 layout: post
-title: "Interactively moving WEM"
+title: "Interactively Moving WEM"
 category: "data_objects"
 ---
 

mevislab.github.io/content/examples/howto.md

@@ -1,5 +1,5 @@
 ---
-title: "Using provided examples"
+title: "Using Provided Examples"
 date: 2022-06-15T08:56:33+02:00
 draft: false
 status: "OK"
@@ -9,14 +9,14 @@ menu:
     weight: 649
     parent: "examples"
 ---
-### Structure
 
+### Structure
 Each tutorial chapter was used as an umbrella theme to structure related examples that are linked in a list. 
 After clicking any of the linked examples, you will be forwarded to a short description of the feature and have the option to download the resource that produces your desired effect.
 
 The provided files are usually either *.mlab* files or *.zip* archives. You will find a short tutorial on how to add those files into your MeVisLab application to work with them below.
 
-### MeVisLab (\*.mlab) files
+### MeVisLab (*.mlab*) Files
 MeVisLab files are networks stored as *.mlab* files. <br>
 
 {{<alert class="info" caption="Info">}}
@@ -25,7 +25,7 @@ Double-clicking the left mouse button within your MeVisLab workspace works as a
 
 Files can also be opened using the menu option {{< menuitem "File" "Open">}}.
 
-### Archives (\*.zip files)
+### Archive (*.zip*) Files
 Archives mostly contain macro modules. <br>
 To use those macro modules, you will need to know how to handle user packages. 
 
@@ -49,7 +49,7 @@ Feel free to create certain directories if they do not exist yet, but make sure
 
 Continuing on your MeVisLab workspace: You might need to reload the module cache after adding macro modules out of *.zip* archives for them to be displayed and ready to be used. To do so, open {{< menuitem "Extras" "Reload Module Database (Clear Cache)" >}}.
 
-### Python (\*.py) or Script (\*.script) Files
+### Python (*.py*) or Script (*.script*) Files
 In the rare case that a *.py* or *.script* file is provided, make sure to firstly follow the tutorials related to macro modules and test cases. 
 
 {{<alert class="warning" caption="Warning">}}

mevislab.github.io/content/examples/image_processing/example2/index.md

@@ -1,14 +1,14 @@
 ---
 layout: post
-title: "Masking images"
+title: "Masking Images"
 category: "image_processing"
 ---
 
 # Image Processing Example 2: Masking Images
 In this example, we create a simple mask on an image, so that background voxels are not affected by changes of the window/level values.
 
 ## Summary
-We are loading images by using the `LocalImage` module and show them in a `SynchroView2D`. The same image is shown in the right viewer of the `SynchroView2D` but with a `Threshold` based `Mask`.
+We are loading images by using the `LocalImage` module and show them in a `SynchroView2D`. The same image is shown in the right viewer of the `SynchroView2D` but with a `Threshold`-based `Mask`.
 
 ![Screenshot](examples/image_processing/example2/image.png)
 

mevislab.github.io/content/examples/image_processing/example4/index.md

@@ -1,14 +1,14 @@
 ---
 layout: post
-title: "Subtract 3D objects"
+title: "Subtract 3D Objects"
 category: "image_processing"
 ---
 
 # Image Processing Example 4: Subtract 3D Objects
 In this example, we subtract a sphere from another WEM.
 
 ## Summary
-We are loading images by using the `LocalImage` module and render them as a 3D scene in a `SoExaminerViewer`. We also add a sphere that is then subtracted from the original image. 
+We are loading images by using the `LocalImage` module and render them as a 3D scene in a `SoExaminerViewer`. We also add a sphere that is then subtracted from the original surface. 
 
 ![Screenshot](examples/image_processing/example4/image.png)
 

mevislab.github.io/content/examples/open_inventor/example1/index.md

@@ -10,7 +10,7 @@ In this example, a simple Open Inventor scene is created. The Open Inventor scen
 ## Summary
 A `SoExaminerViewer` is used to render Open Inventor scenes in 3D. The `SoBackground` module defines the background of the whole scene.
 
-Three 3D objects are created (`SoCone`, `SoSphere`, and `SoCube`) having a defined `SoMaterial` module for setting the *DiffuseColor* of the object. The cube and the cone are also transformed by a `SoTransform` module so that they are located next to the centered sphere.
+Three 3D objects are created (`SoCone`, `SoSphere`, and `SoCube`) having a defined `SoMaterial` module for setting the *DiffuseColor* of the object. The cube and the cone are also transformed by a `SoTransform` module, so that they are located next to the centered sphere.
 
 In the end, all three objects including their materials and transformations are added to the `SoExaminerViewer` by a `SoGroup`.
 

mevislab.github.io/content/examples/open_inventor/example2/index.md

@@ -1,6 +1,6 @@
 ---
 layout: post
-title: "Mouse interactions in an Open Inventor scene"
+title: "Mouse Interactions in an Open Inventor Scene"
 category: "open_inventor"
 ---
 

mevislab.github.io/content/examples/open_inventor/example4/index.md

@@ -1,10 +1,10 @@
 ---
 layout: post
-title: "Camera interaction with collision detection"
+title: "Camera Interaction With Collision Detection"
 category: "open_inventor"
 ---
 
-# Open Inventor Example 4: Camera Interaction with Collision Detection
+# Open Inventor Example 4: Camera Interaction With Collision Detection
 This example shows how to implement a camera flight using keyboard shortcuts. Collisions with anatomical structures are detected and the flight stops. In addition to that, the camera object and direction is rendered in another viewer.
 
 This example has been taken from the [MeVisLab forum](https://forum.mevislab.de/index.php?topic=3947.0).

mevislab.github.io/content/examples/testing/Example1/index.md

@@ -1,5 +1,5 @@
 ---
-title: "Writing a simple test case in MeVisLab"
+title: "Writing a Simple Test Case in MeVisLab"
 date: 2022-06-15T08:56:33+02:00
 category: "testing"
 ---

mevislab.github.io/content/examples/testing/example3/index.md

@@ -1,10 +1,10 @@
 ---
-title: "Iterative tests in MeVisLab with Screenshots"
+title: "Iterative Tests in MeVisLab With Screenshots"
 date: 2022-06-15T08:56:33+02:00
 category: "testing"
 ---
 
-# Testing Example 3: Iterative Tests in MeVisLab with Screenshots
+# Testing Example 3: Iterative Tests in MeVisLab With Screenshots
 In this example you will learn how to write iterative tests in MeVisLab. In addition to that, we create a screenshot of a viewer and add the image to the test report.
 
 # Download

mevislab.github.io/content/examples/thirdparty.md

@@ -1,5 +1,5 @@
 ---
-title: "ThirdParty Examples"
+title: "Third-party Examples"
 date: 2022-06-15T08:56:33+02:00
 draft: false
 status: "OK"
@@ -10,5 +10,5 @@ menu:
     parent: "examples"
 ---
 
-## ThirdParty Examples:
+## Third-party Examples:
 {{< childpages >}}

mevislab.github.io/content/examples/thirdparty/example1/index.md

@@ -1,10 +1,10 @@
 ---
-title: "OpenCV Webcam access"
+title: "OpenCV Webcam Access"
 date: 2022-06-15T08:56:33+02:00
 category: "thirdparty"
 ---
 
-# ThirdParty Example 1: OpenCV Webcam Access
+# Third-party Example 1: OpenCV Webcam Access
 This Python file shows how to access the webcam via OpenCV and use the video via `PythonImage` module in MeVisLab.
 
 # Download

mevislab.github.io/content/examples/thirdparty/example2/index.md

@@ -1,10 +1,10 @@
 ---
-title: "Face detection in OpenCV"
+title: "Face Detection in OpenCV"
 date: 2022-06-15T08:56:33+02:00
 category: "thirdparty"
 ---
 
-# ThirdParty Example 2: Face Detection in OpenCV
+# Third-party Example 2: Face Detection in OpenCV
 This Python file shows how to access the webcam and detect faces in the video stream via OpenCV.
 
 # Download

mevislab.github.io/content/examples/thirdparty/pytorch1/index.md

@@ -1,11 +1,11 @@
 ---
-title: "PyTorch segmentation"
+title: "PyTorch Segmentation"
 date: 2022-06-15T08:56:33+02:00
 category: "thirdparty"
 ---
 
-# ThirdParty Example 5: Segmentation in Webcam Stream by using PyTorch
-This macro module segments a person shown in a webcam stream by using a pre-trained network from PyTorch (torchvision).
+# Third-party Example 5: Segmentation in Webcam Stream by using PyTorch
+This macro module segments a person shown in a webcam stream by using a pretrained network from PyTorch (torchvision).
 
 ![Screenshot](images/tutorials/thirdparty/pytorch_example3_10.png)