I’m pretty on ODM, so please pardon my naive question.
I’d like to assemble a rather large image set and it looks that split-merge is the route to go.
From what I understand, this approach builds some optimal subset with overlap.
So, I assume that I need to have geo-referenced imaged.
Is my assumption correct?
We are working on underwater archeology, so we do not have GPS exif tags. However, it is possible to post process the images to add such and I wonder if that is worth the effort.
Yes, part of the split/merge, as you noted, is the geographic binning of images to ensure proper overlap between the submodels.
I think if you need the split/merge pipeline, it might be beneficial to do your post-processing to get geolocation information.
If not, you could always manually chunk groups of images into separate tasks and then combine in post, but be aware that a naive reconstruction may not have the level of detail you require as the GSD estimate may not be anything close to what it really was in-situ.
Thanks a lot for the answer, super clear and makes sense.
As our picture are shallow under water (archeology orthophotos), we are devising a solution to post label the photos with GPS coordinates. At least that part looks like working.
We also have the concept of the geo.txt file for manually georeferencing photos, which might be simpler or possibly more flexible in your use-case? https://docs.opendronemap.org/geo/
If nothing else, you don’t need to modify the source images and you could potentially iterate multiple times with different geo.txt files rapidly.
