Quote:
Originally Posted by techhelpbb
Marshall posted some performance work on the Tegra in the past.
There are multiple ODroid boards so which ones interest you?
Which vision system on the Kangaroo?
I can't necessarily do this myself right now.
These are the questions one would need to know.
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Our work on the Tegra Systems has been interesting in terms of performance. Some folks last year (and this year!) have complained that our code performance was slow on the Jetson. We were running a cascade classifier last year that ran around 15 frames per second on the Jetson TK1. That's not slow in our experience but hey, what do we know?
Running the same code on the TX1 is substantially faster. Moving from a cascade classifier to neural networks is proving to be tricky because we don't have enough training data but also significantly faster too. It also helps that we are training with a Titan X and a 12 core Xeon... shame we can't put it on the robot...
Was our code last year super efficient and optimized for Big O or whatever nonsense you want to measure performance with? No. Ain't nobody got time for that.
Ultimately though, it's all about iterating through code revisions and optimizing the whole package, both the code and the processor.