Processing-Problems with Lightning

[Saijin_Naib]

Yep! I’ll see what I can do shortly.

[Brisksky]

The job is for a surveying office. I need a point cloud, structured model, orthomosaic and DXF file. Thanks very much

[Saijin_Naib]

I would drop your GCP if you re-process, as it is a bit not ideal. You just have the two locations on the NW/SW corner of your plot, so the rest of the image will not be scaled and located very well.

[Brisksky]

Hi Saijin_Naib, have you already been able to generate a result?

[Saijin_Naib]

No, not yet.

My internet is not terribly fast, so the download took a few hours, same for the upload for processing.

The job is running and I’ll update you when I have results to share with you

Whoops! Gotta retry with my ORB Preset, I guess:

Fused depth-maps 675 (80.74%, 56m50s, ETA 13m)...Killed

===== Dumping Info for Geeks (developers need this to fix bugs) =====
Child returned 137
Traceback (most recent call last):
File "/code/stages/odm_app.py", line 94, in execute
self.first_stage.run()
File "/code/opendm/types.py", line 347, in run
self.next_stage.run(outputs)
File "/code/opendm/types.py", line 347, in run
self.next_stage.run(outputs)
File "/code/opendm/types.py", line 347, in run
self.next_stage.run(outputs)
[Previous line repeated 1 more time]
File "/code/opendm/types.py", line 328, in run
self.process(self.args, outputs)
File "/code/stages/openmvs.py", line 79, in process
system.run('%s "%s" %s' % (context.omvs_densify_path,
File "/code/opendm/system.py", line 106, in run
raise SubprocessException("Child returned {}".format(retcode), retcode)
opendm.system.SubprocessException: Child returned 137

===== Done, human-readable information to follow... =====

[ERROR]   Whoops! You ran out of memory! Add more RAM to your computer, if you're using docker configure it to use more memory, for WSL2 make use of .wslconfig (https://docs.microsoft.com/en-us/windows/wsl/wsl-config#configure-global-options-with-wslconfig), resize your images, lower the quality settings or process the images using a cloud provider (e.g. https://webodm.net).

[Saijin_Naib]

[brisksky-9315] - 836 - 06:26:53

Created on: 11/4/2021, 5:44:00 PM
Processing Node: Lightning - UAV4Geo (manual)
Options: cog: true, crop: 0, debug: true, dem-gapfill-steps: 4, dem-resolution: 1, dsm: true, dtm: true, feature-type: orb, matcher-neighbors: 16, mesh-size: 300000, min-num-features: 16000, orthophoto-resolution: 1, pc-classify: true, pc-ept: true, pc-filter: 1, pc-geometric: true, pc-quality: high, use-3dmesh: true, verbose: true
Average GSD: 0.67 cm
Area: 15,921.2 m²
Reconstructed Points: 115,376,551

brisksky-9315-Report.pdf (4.7 MB)

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[Brisksky]

Looks great, thank you so much. Can you provide the finished dataset by dronedb? I’ve done another 3d-model this night and it was the same fault.

[ERROR] Whoops! You ran out of memory! Add more RAM to your computer, if you’re using docker configure it to use more memory, for WSL2 make use of .wslconfig (Advanced settings configuration in WSL | Microsoft Learn), resize your images, lower the quality settings or process the images using a cloud provider (e.g. https://webodm.net).

What parameters did you change to be successful?

[Saijin_Naib]

The parameters are in the post above under Options.

I’m hoping that they can be a good baseline for your further development!

[Brisksky]

My second try is actually in process. I hope it works. Can you provide your finished dataset by dronedb? An import into my local webodm should be possible, am I right?