UI: fix and improve a few messages

- "Frame Step" -> "Number of frames to skip forward while baking each
  frame": expand description which was just copying the prop name.
- "b-bone" -> "B-Bone": title case.
- "Volumes Lighting" -> "Volume Lighting": typo.
- "Volumes Shadows" -> "Volume Shadows": typo.
- "Insert Blank Keyframe (All Layer)" -> "(All Layers)": typo.
- "the an" -> "an", typo.
- "Inverse" -> "Invert": use verb instead of noun for an action.
- "Desination" -> "Destination": typo.
- "Hides all other F-Curves other than the ones being framed": remove
  extra "other".
- "Remove Bone from Bone collections" -> "Collection", singular because
  the operator is only applied to the active collection. Also title
  case on "Collection".
- "Change Stroke material with selected material" -> "Assign the
  active material slot to the selected strokes": rephrase by reusing
  the message from the non-Grease Pencil materials.
- "VisAction", "VisArea" -> "Visibility Action", "Visibility Area":
  expand abbreviation. This is not exposed in the UI right now but
  will show up in the API docs.
- "Stop Mode Right / Global Down" -> "Stop Move" (typo).
- "... for node input  %s": remove extra space.
- "Move along their normal" -> "Move shadows along their normal":
  rephrase unclear sentence.
- "Stat Vis" -> "Mesh Analysis": stands for "Statistical
  visualization"? Unclear and not shown anywhere. Reuse the label
  specified in the UI code instead.
- " Output data...": remove leading space.
- "Attribute domain for the selection and group id inputs": title case
  on "Selection" and "Group ID" as that is how they appear in the UI.
- "Ior" -> "IOR": uppercase acronym, for consistency.

Pull Request: https://projects.blender.org/blender/blender/pulls/115964

scripts/templates_py/image_processing.py

@@ -1,4 +1,4 @@
-# This sample shows the an efficient way of doing image processing
+# This sample shows an efficient way of doing image processing
 # over Blender's images using Python.
 
 import bpy
@@ -19,7 +19,7 @@ pixel_data = np.zeros((w, h, 4), 'f')
 input_image.pixels.foreach_get(pixel_data.ravel())
 
 # Do whatever image processing you want using numpy here:
-# Example 1: Inverse red green and blue channels.
+# Example 1: Invert red green and blue channels.
 pixel_data[:, :, :3] = 1.0 - pixel_data[:, :, :3]
 # Example 2: Change gamma on the red channel.
 pixel_data[:, :, 0] = np.power(pixel_data[:, :, 0], 1.5)