Hello,

I am using parallel processing (Dask) to generate covariance features for a batch of point clouds. It is a part of a larger pipeline that includes various other steps like DBSCAN and CSF.

Occasionally, the pipeline fails with the following error:
Terminate called after throwing an instance of 'pdal::pdal_error' what(): filters.covariancefeatures: Cannot perform eigen decomposition.

The pipelines run successfully for the failed files when tested individually.

How can I catch pdal::pdal_error exception in Python? RuntimeError doesn't seem to work.

Thank you for your assistance.