From 2d0a9a3d6af7b5598d4a7aeab0566a99808f2773 Mon Sep 17 00:00:00 2001 From: Stephen Mather <1174901+smathermather@users.noreply.github.com> Date: Mon, 23 Sep 2019 21:02:48 -0400 Subject: [PATCH 1/3] CloudODM --> ClusterODM --- source/large.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/source/large.rst b/source/large.rst index d1bd18c1b..8a7caf30a 100644 --- a/source/large.rst +++ b/source/large.rst @@ -141,10 +141,10 @@ While a process is running, it is also possible to list the tasks, and view the # TASK LIST # TASK OUTPUT [lines] -Autoscaling CloudODM +Autoscaling ClusterODM ^^^^^^^^^^^^^^^^^^^^ -CloudDOM 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: @@ -197,4 +197,4 @@ Aknowledgments -------------- 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! `_ \ No newline at end of file +`Help edit these docs! `_ From de1d6824cce8d2350c3e7f23c1011913fff9d44b Mon Sep 17 00:00:00 2001 From: Stephen Mather <1174901+smathermather@users.noreply.github.com> Date: Mon, 23 Sep 2019 21:04:54 -0400 Subject: [PATCH 2/3] Spelling --- source/large.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/source/large.rst b/source/large.rst index 8a7caf30a..677e1c018 100644 --- a/source/large.rst +++ b/source/large.rst @@ -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! `_ From ad470ae208589bbcabc8d8b12d5549d814c6fbb7 Mon Sep 17 00:00:00 2001 From: Stephen Mather <1174901+smathermather@users.noreply.github.com> Date: Tue, 24 Sep 2019 01:32:48 -0400 Subject: [PATCH 3/3] Fix wording --- source/tutorials.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/tutorials.rst b/source/tutorials.rst index 0cf6c654e..e0cbadd45 100644 --- a/source/tutorials.rst +++ b/source/tutorials.rst @@ -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°.