make autogenerate

source/arguments/auto-boundary.rst

@@ -35,11 +35,11 @@ Time            ●○○ | Low
 ----
 
 What Is Auto-Boundary?
--------------------
+----------------------
 ``--auto-boundary`` is a process that seeks to limit the boundaries of the reconstruction based upon a K-Means filtered Convex Hull buffered by 20x the mean GSD of the dataset.
 
 When Is Auto-Boundary Helpful?
--------------------------------
+------------------------------
 ``--auto-boundary`` is appropriate to use on any dataset where one might possibly consider limiting the area of reconstruction due to the presence of sky or far-away background that they would not normally consider part of the desired reconstruction.
 
 ``--auto-boundary`` does not have a meaningful impact on nadir (or near-nadir) imagery without sky/background, making it superflous, but safe, to include.
@@ -47,7 +47,7 @@ When Is Auto-Boundary Helpful?
 In other words, if you would consider masking the image, ``--auto-boundary`` is likely a good choice.
 
 Why would one use auto-boundary?
-----------------------------
+--------------------------------
 Auto-Boundary is most helpful in preventing the reconstruction area from growing needlessly large when things like sky, clouds, or far-away features like treelines get included in the reconstruction.
 
 By preventing the boundaries of the reconstruction from growing needlessly large, Out-Of-Memory errors become far less likely, and one will likely see a decrease in processing time due to the smaller area being reconstructed.
@@ -56,7 +56,7 @@ Example Images
 --------------
 
 True: ``--auto-boundary``
-^^^^^^^^^^^^^^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^^^^^^^^^^^
 .. figure:: https://user-images.githubusercontent.com/19295950/140864618-2a0c95f2-669e-45dc-b5c5-df82a555e4e5.png
   :alt: WebODM displaying the reconstruction extent of a terrestrial orbit survey of a Northern Catalpa tree.
 
@@ -70,5 +70,4 @@ False: ``null``
   The WebODM 3D View shows the full extent of the recosntruction. Compared to the ``--auto-boundary`` reconstruction above, one can see that the full reconstruction area is much larger (and therefore more visually sparse).
 
 
-
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