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Dan Joseph 2021-12-28 10:34:00 -05:00
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@ -21,11 +21,11 @@ Time ●○○ | Low
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What Is Auto-Boundary? What Is Auto-Boundary?
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``--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. ``--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? 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`` 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. ``--auto-boundary`` does not have a meaningful impact on nadir (or near-nadir) imagery without sky/background, making it superflous, but safe, to include.
@ -33,7 +33,7 @@ When Is Auto-Boundary Helpful?
In other words, if you would consider masking the image, ``--auto-boundary`` is likely a good choice. In other words, if you would consider masking the image, ``--auto-boundary`` is likely a good choice.
Why would one use auto-boundary? 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. 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. 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.
@ -42,7 +42,7 @@ Example Images
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True: ``--auto-boundary`` True: ``--auto-boundary``
^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^
.. figure:: https://user-images.githubusercontent.com/19295950/140864618-2a0c95f2-669e-45dc-b5c5-df82a555e4e5.png .. 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. :alt: WebODM displaying the reconstruction extent of a terrestrial orbit survey of a Northern Catalpa tree.
@ -54,4 +54,3 @@ False: ``null``
:alt: WebODM displaying the reconstruction extent of a terrestrial orbit survey of a Northern Catalpa tree. :alt: WebODM displaying the reconstruction extent of a terrestrial orbit survey of a Northern Catalpa tree.
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). 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).