I have a performance issue question for a Jetson TX2.
I am running a MATLAB GPU coder example that uses resnet50 to classify streaming video from a webcam.
When running the code, I am only able to classify video at a rate of about 1.5 frames per second.
A colleague runs the same code on a Jetson Nano and is able to classify video at about 15 frames per second.
Are there some settings that I could check to help improve performance? This seems … real slow.
After removing the display-over-the-image code and adding in a ‘fprintf()’ statement, I’m showing about 1.6 frames per second.
This leads me to think that the issue is with the resnet50 network running on my TX2.