That does indeed look sweet, but $570 a pop is pretty steep, for now.  But 
if I can get even a fraction of my planned system running ok in a Pi 
cluster (proof of concept), I might consider the Jetson TX2 as a far more 
capable framework.  Thanks for the link.

On Thursday, March 9, 2017 at 9:19:31 AM UTC-5, Sir Supahacka wrote:
>
> "The Raspberry Pi 3 comes nowhere close to the Jetson TX2 in performance." 
>
>
> http://www.computerworld.com/article/3177992/robotics/nvidias-pascal-powered-jetson-tx2-computer-blows-away-raspberry-pi.html
>  
>
>
> On 28.02.2017 23:39, Dave Xanatos wrote: 
> > In light of the significant enhancements to the Raspberry Pi in version 
> 3 now, I'd like to re-visit this thread.  I am currently running a RPi 3, 
> with Raspbian Jessie, Python 3.4, OpenCV 3.2.0 and support code such as 
> NumPy, SciPy, SKLearn, Swig, etc., doing face detection and recognition, 
> and responding in real-time to visually recognized instances via espeak, 
> and controlling servos via SPI through the GPIOs to control eye movement to 
> maintain "eye contact" with the detected face's eyes.  In addition, I am 
> running CMUSphinx/PocketSphinx for speech recognition (still needs 
> significant training).  None of this is taxing my Pi significantly.  I just 
> discovered OpenCog while searching for an AI framework to pull all my 
> cognitives together and create a "presence", with the goal of creating a 
> reasonably functional conversational interactivity to go along with the CV, 
> hearing and Speech components.  Interested in hearing from folks who may 
> have done, or be in process with this.  Thanks. 
> > 
>
>
>

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