Open 2016ee165 opened 3 years ago
if you would like to manually do it, you can pass your own list of image neighbor pairs in line 45 before returning https://github.com/mapillary/OpenSfM/blob/d39c1c1e1dbf2cfe4a704fc1293812a5b5d75c94/opensfm/matching.py#L38-L50 the rest of the pipeline will work as expected. This will not create subdirectories for submodels but will limit your matching and potentially save you a lot of time.
@Talha-Hammad my question wasn't about matching image pairs. I want to split my dataset into smaller datasets, run opensfm on all the datasets separately and then combine them at the end. In the documentation, there is a method to achieve this task but it uses GPS information of images. I wanted to do so without the GPS information of images.
There is no feedback from the submodel command after the data set with GPS information is rebuilt . root@ubuntu:~/openSfm/OpenSfM# bin/opensfm align_submodels /data/shitou 2021-02-07 16:10:30,643 INFO: Running alignment 2021-02-07 16:10:30,643 INFO: Ceres Solver Report: Iterations: -2, Initial cost: 0.000000e+00, Final cost: 0.000000e+00, Termination: CONVERGENCE Do you have this problem?
Is there any progress or workaround for this issue? We have the same error message here and we really would like to use the submodels feature.
is it possible to create submodels without having the GPS position of the images?