Hello,
I have no idea why it doesn’t work properly, but my Jetson Nano is unable to handle object detection when using the GPU. I use the DNN module of OpenCV to run a MobileNetSSD-v2 model. Everything on the software side is fine, I build OpenCV with Cuda support and sometimes, the detection works for like 5 seconds or so. However each time, either at the beginning or a few seconds in, my Jetson Nano crashes and just turns off.
I get no error message.
I check with $ jtop and it doesn’t seem like a memory shortage is the case.
I use 5V-4A DC power supply.
No, for me, switching to 5W mode is not an option. I need fast framerates and to use all 4 CPU-Threads for multithreading purposes simultaneously.
I really need to get this system up and running, so is there any suggestion how to solve the problem? Thanks!
Although it is not an option, would you mind running the application with 5W mode first?
This experiment will help us clarify the cause is from memory or power starvation.
Hi, thanks for your suggestion. Would you mind giving a short explanation on how to do that and what I have to look out for? I’m still relatively new to the system, thanks!
Thanks, but as I already said, I use 5V-4A power supply, so besides I already found it by myself, it helps me fairly little. Since I can’t provide even more power to the Nano, do you have specific suggestions on how to solve the issue?