Quote:
Originally Posted by arushshah1
We've bought a Jetson TX1 board to do our vision work this year and I had a question on its benefits. We're not actually using the GPU module because we're not using any of the vision algorithms that it can accelerate. Given this, is there a benefit of doing vision on the Jetson over a cheaper board like the RPI3?
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Without doing lot of complicated moving of memory from the CPU to the GPU, the one thing that seems to be offloaded using the built-in CUDA version of the OpenCV on Jetson is the decode of the encoded video from the camera, and I believe also the encode of the video (if you want to create a JPEG image and write it to disk, so a MJPG streamer can stream it to the driver station).
It's not clear how that compares to the Raspberry Pi 3 yet.
We are transitioning from a Jetson TK1 to a Raspberry Pi 3 this year, and one of my notes is to get performance stats; if I get to that I will post them.
- scott