OpenSFM is quite out of date, so it's quite inefficient and rather inaccurate (e.g. exhaustive matching is O(n^2), and there are a lot of smarter ways that are

OpenSFM is quite out of date, so it's quite inefficient and rather inaccurate (e.g. exhaustive matching is O(n^2), and there are a lot of smarter ways that are closer to O(n)) Also, one of the main steps of mesh reconstruction is depth map generation. It typically takes anywhere from 30-75% of compute time for dense reconstruction, IF it's parallelized thru GPU. If you're using the CPU only to calculate depth maps, you're probably slowing yourself down by an order of magnitude. If you have a GPU, and use a better SFM-MVS solution, then you can quite easily reconstruct datasets of 1k-10k images within 24 hours.