I am relatively new to the Jetson Xavier NX. I understand that the Jetson can run multiple neural networks in parallel as seen from multiple demonstrations.
The issue I’m facing right now is running two programs simultaneously. I have a face recognition code written in python using the
face_recognition package and a pose estimation code based on NVIDIA’s trt_pose. I understand that running both of these codes together would result in an overloaded RAM and probably cause my jetson to crash. My question is:
In order to run these programs in parallel, do I have to utilise TensorRT? i.e instead of using the
face_recognitionpackage, I should use a TensorRT-accelerated face recognition program.
Is there a workaround to run both these programs in parallel? e.g utilising GPU and different DLA for each program
Though I’m not sure assigning GPU and DLA for each program is possible nor does it solve the problem of RAM usage.