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Unread 28-06-2016, 20:02
Turing'sEgo Turing'sEgo is offline
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Re: Methods for deploying/(cross-)compiling vision code for NVidia Jetson

A downside to developing directly on the jetson is that is it ARM based and only has 1 usb port (but a hub fixes that issue no problem).

Just remember to NOT use java if you can avoid it (and based off what you said, you are.) JVMs are memory hogs.

The most common method of compiling / deploying is do cross-compiling. This is the safest way to ensure you don't accidentally break your stable (yet fragile) jetson configuration.

Look into gcc-arm-linux-gnueabi

Are you writing your own routines in cuda-c? (If so, that is pretty metal)

Slightly off topic: look into otsu thresholding for adaptive thresholding. OpenCV already has it, and it has a gpu version.
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