does rtabmap actually use computing power of jetson tx2 with opencv3.3?
I am asking about proper installation of rtabmap and its components on nvidia jetson tx2, to fully use computing power of this board.
I read from rtabmap_ros github page:
To use rtabmap_ros on Jetson, you can follow the instructions above if you don't care if OpenCV is built for Tegra. However, if you want rtabmap to use OpenCV 4 Tegra, we must re-build vision_opencv stack from source too to avoid conflicts with vision_opencv stack binaries from ros (which are linked on a not optimized version of OpenCV). Here are the steps:
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1) Does it means that rtabmap works properly on jetson only with opencv4?
2) (not related to rtabmap) In nvidia sdkmanager I see that to install opencv4 I need jetpack 4.3 on ubuntu 18.04. Is there any possibility to install opencv4 on ubuntu 16.04 with jetpack 3.3, L4T 28.2.1? if yes, will rtabmap run properly in this case?
