7 ms·
Yep, RAM is usually the bottleneck for processing larger datasets. We do have a divide-and-conquer approach to push the limits of your hardware though: https://
by pierotofy 4y ago
Yep, RAM is usually the bottleneck for processing larger datasets. We do have a divide-and-conquer approach to push the limits of your hardware though: https://docs.opendronemap.org/large/ https://docs.opendronemap.org/large/
- carbadtraingood 4y agoI found, in practice, that the divide and conquer approach led to weird altitude artifacts, where different divisions would result in different heights, so the point clouds didn't line up. Could have been a one off bug though.
- pierotofy 4y agoIt can happen; point cloud alignment between submodels can be tricky. Sometimes increasing the amount of split overlap can help, but not always.
- davijo 4y agoAmazing piece of software! I've a question. It's a bit unclear to me, is there a global adjustment applied to the sub-blocks that would help with the overlap issues?
- pierotofy 4y agoThere is; the alignment uses affine transformations, but it cannot account for certain cases (e.g. severe bowling effects). It's an interesting area of research.