Optimal board for vision processing

[matan129]

Originally Posted by techhelpbb

I have been CSA at several competitions over the years.
If you can avoid sending live video you depend on over the WiFi please do (I speak for myself not FIRST or 11/193 when I write this).

I can assure you what you think you have for bandwidth you probably do not have.
I can back that up with various experiences and evidence I have collected over the years.

If you must send something to the driver's station send pictures one at a time over UDP if you can.
If you miss one - do not send it again.

I have no interest in hijacking this topic with any dispute over this (so if someone disagrees feel free to take this up with me in private).

Yeah, people have told me basically what you said here, but I asked if local LAN (the camera is connected with Ethernet cable to the router on the robot which connects also with Ethernet to the RPi/NVIDA thing/any other board) counts as networks badwidth? (It does not seems likely, but want to be sure about this).

Originally Posted by jman4747

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

Cool, thanks! I'll look into this. If I'm doing processing in a resolution of, let's say, 1024*768 (more seems too much), how many FPS will I get? (approx.)