Issue with Running YOLOv8 on Jetson Orin Nano with Multiple Cameras

Robotics & Edge Computing Jetson & Embedded Systems Jetson Orin Nano
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Issue with Running YOLOv8 on Jetson Orin Nano with Multiple Cameras

When running two Python scripts on a Jetson Orin Nano—one utilizing a YOLOv8-trained PyTorch model with an Intel RealSense D455 camera and another with a standard webcam—the device hangs, accessing only the Intel RealSense camera while failing to operate both simultaneously.

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Hi,

Could you check the memory usage with tegrastats at the same time?
A common cause is the system runs out of memory so the system gets frozen.

Thanks.

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Although CPU usage over 50% and GPU usage over 20% when accessing an Intel RealSense camera and a regular webcam via Python scripts, the Jetson Orin Nano freezes. However, when attempting to use the SSD MobileNet pretrained model (COCO model) from Jetson Inference, I can successfully access both cameras. How can I integrate my PyTorch model (custom dataset) with SSD MobileNet?

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Hi,

Please check if the below tutorial helps:

Thanks.

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