The only sad thing I noticed is that all the test pictures in my camera are of me sitting in front of a computer.
Ha, for me it is my basement, time to clean up. No place to hide stuff in a 360 image 
Have you tried it on a video stream without applying Mobilenet v2 analysis? I’m wondering how fast the Equirec2Perspec can handle the frames.
Not yet, doing this on a video stream is my next to do. I will time that process first before applying any NN. My intuition leads me to believe that many NN run fast enough (100 fps + on the AGX Xavier) that a non-linear transformation will form the bottleneck. The good thing is that I don’t need very fast times. Anything around a second would work for me.
Just to clarify the challenge you’re proposing, do you mean to test OpenCV on NVIDIA Jetson with CUDA acceleration?
No Craig, I was referring to this transformation function specifically. I am already worried that this could be a bottleneck in any application. A C++ implementation using some of the Nvidia accelerations could be very helpful.