I´m currently looking into getting a new embedded system for some image processing applications. I want to try out the TX2 but I would like to know some things I couldn’t find in the forums or data sheets.
Basically I want to know if going for the TX2 is better than my alternatives.
Im currently using OpenCV on a National Instruments CVS 1458-RT. I cross compile my algorithm as an .so on my windows machine and load it into labview as an external code. The CVS has an intel atom 64bit architecture.
So far running my algorithm using OpenCV functions reduces my processing time to about 1/3, as opposed to using labview functions. However, I will be working on a much processing intensive algorithm (using correlation) and have the need to run it at 24-30fps. And preferably using HD (720p).
I know that using CUDA has a big advantage when I use large images, and that for smaller ones there can be a bottle-neck with memory management. But I dont know anything about the opencv that is optimized for tegra that the jetson uses. Can anyone share more info on this? How would this compare to runnign opencv on the intel Atom?