We are working on a large orthorectification project comprising of ~40K historical aerial images with more than 1000 markers.
Post bundle-adjustment and marker placement, we need to find the remaining images with unprojected markers. In other words, we need to find and correctly place the markers we may have missed. The typical way to do this via the GUI is to use the 'Filter Photos By Markers' option in the reference window. However, this approach is very cumbersome given the size of our project.
Is there a way to filter images by unprojected markers?
Alternatively, is it possible to generate a list of markers that have missing (estimated but unplaced) projections via the Python API?
Topic: Identifying cameras with unprojected markers. (Read 3063 times)
