Dataset has been split into 0 submodels. Reconstructing each submodel

I’m encountering an error after matching about which I can’t find any information. Image matching seems to work fine (matched 7383 pairs), then i get:
[WARNING] Submodels directory already exist at: /code/submodels
followed by:
[INFO] Dataset has been split into 0 submodels. Reconstructing each submodel…

The rest of the steps run and fail because there’s no data to process:
[INFO] Aligning submodels…
[INFO] Finished split stage
[INFO] Running merge stage
[WARNING] No input point cloud files to process
[INFO] Merging all crop bounds: []
[WARNING] No bounds found for any submodel.
[WARNING] No orthophoto/cutline pairs were found in any of the submodels. No orthophoto will be generated.
[INFO] Merging 0 shots.geojson files
[INFO] Finished merge stage
[INFO] Running odm_postprocess stage
[INFO] Post Processing
[INFO] Finished odm_postprocess stage
[INFO] No more stages to run

I have WebODM installed and running on Docker (MacOS), and I’m using the command line to run the following:

docker run -it --rm
-v “$(pwd)/images:/code/images”
-v “$(pwd)/odm_georeferencing:/code/odm_georeferencing”
-v “$(pwd)/odm_meshing:/code/odm_meshing”
-v “$(pwd)/odm_orthophoto:/code/odm_orthophoto”
-v “$(pwd)/odm_texturing:/code/odm_texturing”
-v “$(pwd)/opensfm:/code/opensfm”
-v “$(pwd)/smvs:/code/smvs”
-v “$(pwd)/submodels:/code/submodels”
opendronemap/odm --skip-3dmodel --fast-orthophoto --ignore-gsd --orthophoto-resolution 2 --verbose --texturing-data-term area --split 400

I’m processing 779 images, so attempting to split them roughly into two sets with split-merge.

Any help much appreciated!

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Can you tell us a bit more about your Mac and whether or not this is the most recent version of WebODM?

Also, have you had this analysis crash before?

Thanks Saijin.

It’s a 2019 Macbook Pro (Intel) with 2.4GHz 8 Core i9, 64GB RAM, running MacOS Ventura (13.1), Docker 4.16.2 (95914), and WebODM 1.9.19.

I start up docker, then run WebODM in one terminal window ( start), then run my task in another terminal window using the code I pasted above.

I haven’t encountered this issue before.

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What do your Resource Allocation settings look like for Docker?

You might be having issues with disk space and or RAM.

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