Merge pull request #6 from OpenDroneMap/publish

Pull in latest
pull/28/head
Stephen Mather 2019-09-24 02:49:25 -04:00 zatwierdzone przez GitHub
commit eddfd66d89
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@ -144,7 +144,7 @@ While a process is running, it is also possible to list the tasks, and view the
Autoscaling ClusterODM
^^^^^^^^^^^^^^^^^^^^^^
CloudODM also includes the option to autoscale on multiple platforms, including, to date, Amazon and Digital Ocean. This allows users to reduce costs associated with always-on instances as well as being able to scale processing based on demand.
ClusterODM also includes the option to autoscale on multiple platforms, including, to date, Amazon and Digital Ocean. This allows users to reduce costs associated with always-on instances as well as being able to scale processing based on demand.
To setup autoscaling you must:
@ -193,8 +193,8 @@ The 3D textured meshes are currently not being merged as part of the workflow (o
GCPs are fully supported, however, there needs to be at least 3 GCP points on each submodel for the georeferencing to take place. If a submodel has fewer than 3 GCPs, a combination of the remaining GCPs + EXIF data will be used instead (which is going to be less accurate). We recommend using the ``image_groups.txt`` file to accurately control the submodel split when using GCPs.
Aknowledgments
--------------
Acknowledgments
---------------
Huge props to Pau and the folks at Mapillary for their amazing contributions to OpenDroneMap through their OpenSfM code, which is a key component of the split-merge pipeline. We look forward to further pushing the limits of OpenDroneMap and seeing how big a dataset we can process.
`Help edit these docs! <https://github.com/OpenDroneMap/docs/blob/publish/source/large.rst>`_

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@ -39,7 +39,7 @@ To mitigate this effect, there are a few options but the simplest are as follows
:height: 480
:width: 640
As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently but, from a self calibration perspective, less accurately.
As this approach to flying can be take longer than typical flights, a pilot or team can fly a small area using the above approach. OpenDroneMap will generate a calibration file called cameras.json that then can be imported to be used to calibrate another flight that is more efficiently flown.
Vertically separated flight lines also improve accuracy, but less so than a camera that is forward facing by 5°.