Closed Kathir-66 closed 2 months ago
I am wondering if this is a memory error. Pycurv is very memory intensive, and I typically run on a machine with at least 128GB of memory (normally via HPC). This is the only step that really demands much but unfortunately it is very important for getting really high quality quantifications out. You could try again with a lower max_triangles parameter (try 75,000 or 100,000).
The lowering down of lower max_triangles parameter, did not help. But fortunately the default parameters worked with one of my tomograms. So, I could test rest of the pipeline for my data. Unfortunately cant access HPC for now. Will wait for the container implementation for that. Thanks!
I temporarily got access to an ubuntu system. To test the pipeline for my dataset. But to test the pipeline, I started with the example data
The first step ran successfully!
When I run the second step python run_pycurv.py config.yml TE1_OMM.surface.vtp; it runs successfully just for the TE1_OMM
Apart from TE1_OMM.surface.vtp everything else get the following error
any idea how to solve the Segmentation fault (core dumped) error?? please let me know if you need any other information. Thanks in advance