I’m experimenting with the Jetson TX2 (and Nano) using provided demos from jetson-inference github https://github.com/dusty-nv/jetson-inference. When playing around with imagenet-camera demo, I notice that the network FPS indicator seems to be not affected by changing the input resolution. For ex. it fluctuates around 50-60fps for TX2 and 40-45fps for Nano. The webcam I used can provide 1080p@30fps video. So here are my questions regarding this behavior:
- The network fps means inference speed of the network and is independent from input video fps, am i right?
- If it's true, then I guess the API must has done some resizing/scaling pre-process for all input video, right?
- Then can I turn that feature off? If yes, could you pls show me how? I would like to see how it's actual performance scaling through various input video resolution/rate.
Thanks so much!