When calling a CSI camera to send and read a video stream, it will occupy more GPU than a USB camera

Robotics & Edge Computing Jetson & Embedded Systems Jetson Xavier NX
1

Good morning teachers, please ask you a question, when using Xavier NX, I find that when calling a CSI camera to send and read video streams, it will take up more GPU than a USB camera. Video 1 shows the CSI camera + model inference delay of about 500ms. Video 2 uses USB camera + model inference, and the delay is about 150ms. Please help to see what the reason is.


3

Hi,
Not sure what does occupy more GPU mean. For checking GPU usage, please execute sudo tegrastats and compare the two use-cases

4

csi.log (23.5 KB)
uvc.log (12.9 KB)
This is a log of both, please help take a look. Thank you.

5

Hi,
We don’t see GPU usage while running:

$ gst-launch-1.0 nvarguscamerasrc ! fakesink

So the deviation in your use-case looks to be from model inference. One possible reason is that the resolution is different in the two cases, so doing inference takes different GPU usage.

6

csi+d(1).log (5.2 KB)
usb+d(1).log (6.2 KB)
Good morning, this is the occupancy content you need, please help take a look.