I have been working on the performance of ODM in multi-core super computing environments, and we have been interested in the fact whether split/merge could be parallelized. This would enable to use more cores, thus enhancing the processing of images (at the cost of memory of course)
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Yes. See ClusterODM and if you’re in a slurm environment, recent pull requests by Nghi: Pull requests · OpenDroneMap/ClusterODM · GitHub
Regardless, ClusterODM with split will handle node allocations for you and allow you parallel node use at the most computationally intensive stages.
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