Optimal board for vision processing

[jman4747]

Originally Posted by matan129

Thanks for the suggestion! But it's kind of pricey, when compared to Pi. Is it worth it?
Also, is the developing for CUDA any different from 'normal' developing?

It is worth it IF you want to process video and track an object continuously. As for power, the new voltage regulators' 12 V 2A port will be more than enough. The jetson needs 12V and people have tested this thing running heavy duty vision applications on the GPU/CPU without cracking 1 amp.
It is soooooooooooooo easy to use the GPU. After the setup (installing libraries, updating, etc.) We were tracking red 2014 game pieces on the GPU within the next 30 min. We used the code from here: http://pleasingsoftware.blogspot.com...-computer.html Read trough this and the related get hub linked in the article.
https://github.com/aiverson/BitwiseAVCBalloons

Open CV has GPU libraries that basically work automatically with the Jetson.
http://docs.opencv.org/modules/gpu/doc/gpu.html
You can see in the gethub of the above example as well the different compile command for activating GPU usage.
https://github.com/aiverson/BitwiseA...aster/build.sh

If you ever get to use that code on the Jetson note: The program in the above link opens up a display window for each step of the process and closing the displays speeds up the program from 4fps with all open to 16fps with only the final output open. I presume with the final output closed and no GUI open (AkA how it would be on a robot) it would be much faster. Also we used this camera and were set to 1080p for the test: http://www.logitech.com/en-us/produc...ro-webcam-c920