in the past I used WebODM on Windows using Docker with about 5GB of RAM assigned to the VM.
Now I installed ODM and WebODM nativily on Ubuntu 16.04LTS. The aukerman example dataset worked.
Now I have a dataset with 92 images (DJI P3, 3000x4000 pixel) which I run with min-num-features (integer) = 5000 (default for other options).
On the ubuntu machine this consumes 16GB of RAM + all the additonal 16GB Swap Space.
The very same dataset (92 images 3000x4000, with the same parameter set) runned through the Win-Docker Version (just 5GB) with no problem.
Is that a normal behavior? During
opensfm I have way more than 10 python-opensfm-processes which consumes 1-2 gig each? Any idea what might be the issue? Is it possible that this is due to some wrong configurations (?) I may did on the native ubuntu system?
Thanks for any help
btw: the example aukerman-dataset consumed about 2GB RAM overall