DeepStream-Yolo
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Process Killed yoloR_w6
Hello,
I follow the steps described here and was able to generate the .wts
and .cfg
files. However, when I execute the deepstream-app -c deepstream_app_config.txt
command the process gets killed.
The last thing my console prints is:
Total number of YOLO layers: 638
Building YOLO network complete
Building the TensorRT Engine
Killed
I'm running the code in a Jetson Nano Dev Kit, using the yoloR_w6 weights, is it possible to run this weights on Jetson Nano or should I use the CSP weights?
Thanks for the help.
Looks like you're out of RAM. Maybe you can relieve some by killing stuff like text editor, web browser... Use jtop
on Jetson for a detailed monitor. If you can't you'll probably need to switch to a lighter model.
I haven't tried TensorRT conversion, but recently we could not infer Yolov5L or Yolov4-P6 (with torch) on the Nano for this very reason, it is quite memory-limited.
You sould use tiny models on Jetson Nano board. It doesn't have sufficient resources to run heavy models.