Using mediapipe gpu accelerated python solutions with cuda accelerated opencv

[AastaLLL]

Hi,

Based on the log, the GPU utilization is low.
You can try to read the camera with GStreamer to see if it helps.

Below is an example for your reference:

Optimizing opencv gstreamer with mipi and usb uvc cameras

Hi, For the USB camera, you may check if you can run VideoCapture cap("v4l2src device=/dev/video1 ! video/x-raw,width=1920,height=1080,format=UYVY,framerate=30/1 ! videoconvert ! video/x-raw,format=BGR ! appsink"); OpenCV is CPU based frameworks and please execute sudo jetson_clocks to get max performance on Jetson Nano. If OpenCV is not must-have in your implementation, you can consider to use gstreamer or jetson_multimedia_api, which use hardware DMA buffers to get optimal performance.

Thanks.