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[ERROR] Directory submodels does not exist #1566
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Thanks for the report, but it looks like you didn't include a copy of your dataset for us to reproduce this issue? Please make sure to follow our issue guidelines 🙏 p.s. I'm just an automated script, not a human being. |
why was this closed? |
You didn't include a copy of your dataset as required by the issue guidelines, and as noted by the bot. |
I didn’t think it made sense to upload a 38GB dataset (if there’s even a place that accepts that much) without doing some work to narrow down the problem first. At any rate, for future searchers there more info on this in the forum - https://community.opendronemap.org/t/error-directory-submodels-does-not-exist/ |
Thanks for linking this back @maphew |
How did you install WebODM (docker, installer, etc.)?
Windows installer, v2.5.2
What's your browser and operating system? (Copy/paste the output of https://www.whatismybrowser.com/)
Edge 130 on Windows 10
What is the problem?
Processing ~2500 images fails to run after 6 hours (using fast-ortho, split:1250). Log file ends with "[ERROR] Directory submodels does not exist.". Running the command line immediately before this error manually from command prompt yields same message:
Looking higher up in the WebODM logfile we see that the submodels do exist, but at a different path:
The folders are at
2f644fd5679a\opensfm\submodels
not2f644fd5679a\submodels
of the command line.Extended log tail:
Some more experimenting at the cmd prompt reveals that running with
--project-path "C:\....\opensfm" submodels"
(path simplified) gets a little farther but then complains there are no images. Eventually I realised this would need to be run for each of the submodels in turn, like soC:\...\opensfm\submodels" submodel_0000
:It took 6 hours to get to this point. Aside from repeating this command for each of the 31 submodel folders, what other commands can I run to manually to finish the job?
How can we reproduce this? (What steps trigger the problem? What parameters are you using for processing? Include screenshots. If you are having issues processing a dataset, you must include a copy of your dataset uploaded on Dropbox, Google Drive or https://dronedb.app)
Task settings:
Images: 2489 (from DJI Matrice 300, P1 camera, )
Format : JPEG
File size : 20.6 MiB
Format : JPEG
Width : 8 192 pixels
Height : 5 460 pixels
Color space : YUV
Chroma subsampling : 4:4:4
Bit depth : 8 bits
Compression mode : Lossy
Stream size : 20.6 MiB (100%)
ColorSpace_ICC : RGB
Processing Node: node-odm-1 (manual)
Options: auto-boundary: true, fast-orthophoto: true, feature-type: hahog, orthophoto-resolution: 2, split: 1250, rerun-from: odm_postprocess
Disk Usage: 37.93 Gb
Free disk space: 300 GB
Memory: 64 GB (used 16%)
A factor that might be involved: I first ran this job without split but it ran out of memory. For this run I edited the task, added split, and ran using Resume.
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