What is your biggest pain with ODM / OpenSfM?

[smathermather]

Reminded of this issue by Lucky_Luke’s post:

Reconstructing models from multiple levels (aerial and ground), initial findings

Ok my friends. I present to you my findings on combining ground level photos with aerial imagery in a cohesive and fantastic model. Now, there are some limitations to this model: one set of photos was taken on a sunny day at sunset and the other on a partially cloudy day a couple hours before sunset. In addition to lighting differences, we can expect challenges from differences in GPS between days (we cannot rely on lower relative error for short flights). But the challenges are an important par…

We do have model initialization / rotation issues both in degenerate cases like I post (terrible GNSS accuracy on ground level shots) but also in subtler ways with a variety of datasets.

I would be interested if we have other datasets that exhibit this behavior. I feel like @Kerrowman and @Gordon have shown examples.