Wow, the good news just keeps on rolling in!

Yes, the one I'm looking at has the BABCXEA part number. Basically the 
nicest version of this chip, with the -40~105C temperature range as well as 
the industrial protocols and EtherCAT stuff enabled.

A beagleboard to run your power plant with!

I'm continually amazed by the quality and features you all put into these 
boards.

Thanks again Jason

On Saturday, 26 January 2019 09:25:52 UTC-8, Jason Kridner wrote:
>
>
>
> On Jan 25, 2019, at 11:11 PM, Calvin Slater <[email protected] 
> <javascript:>> wrote:
>
> Looks like I am a lucky dog as well. My x15 also has the industrial temp 
> rated AM5729. This one was from the first public production run back in 
> late 2017. I did some searching around and found the following:
>
>
> All Rev C boards used AM5729. The industrial part is a surprise to me. 
>
>
> 1) The AM5729 is a non-catalog part, which is why there is no real public 
> datasheet.
>
>
> Correct. Having 4 EVEs is the only difference from AM5728. I have hopes 
> the AM5729 will be public some time this year. 
>
>
> 2) This chip has four EVEs but only one is enabled for the purpose of 
> hacking/experimenting.
>
>
> All 4 are enabled. 
>
>
> Is the above correct?
>
> On Wednesday, 16 January 2019 05:30:11 UTC-8, Mark A. Yoder wrote:
>>
>> My x15 has an AM5729 on it and it has 2 DSPs and 4 EVEs[1] (Embedded 
>> Vision Engines).  I don't know much about the EVEs, but I read somewhere 
>> that each EVE can do 16 multiply accumulates per clock cycle.  The tidl 
>> gives you some control over which processors (DSP or EVE) works on what 
>> part of the problem.
>>
>> I'm often seeing 15 to 30 frames per second wile recognizing objects.
>>
>> --Mark
>>
>> [1] http://processors.wiki.ti.com/index.php/EVE
>>
>> On Thursday, January 10, 2019 at 4:40:06 PM UTC-5, Calvin Slater wrote:
>>>
>>> That's fantastic!
>>>
>>> I was just wondering about this a couple weeks ago. 
>>>
>>> I heard the AM5728 had TIDL support this whole time and uses the DSPs 
>>> right?
>>>
>>>
>>>
>>> On Wednesday, 9 January 2019 18:08:28 UTC-8, Mark A. Yoder wrote:
>>>>
>>>> It was recently pointed out to me that the BeagleBoard-X15 has hardware 
>>>> that supports Deep Learning 
>>>> <http://downloads.ti.com/mctools/esd/docs/tidl-api/> and TI has 
>>>> already created several examples 
>>>> <http://downloads.ti.com/mctools/esd/docs/tidl-api/example.html> of 
>>>> how to use it.
>>>>
>>>> I've created a wiki page 
>>>> <https://elinux.org/EBC_Exercise_39_Setting_Up_tidl_on_X15> that gives 
>>>> a quick guide for installing and running the examples.
>>>>
>>>> https://elinux.org/EBC_Exercise_39_Setting_Up_tidl_on_X15
>>>>
>>>> All the examples are pretrained and the X15 is just running the 
>>>> inference engine.  It's been trained to recognize 1000 objects from a live 
>>>> video stream.
>>>> Using a simple webcam, I've shown it several objects (tennis ball, 
>>>> baseball, coffee mug, beer bottle, etc.) and it has recognized them all.
>>>>
>>>> I'm impressed.
>>>>
>>>> Has anyone else played with this? What do you think?
>>>>
>>>> --Mark
>>>>
>>>> [image: Items.png][image: Water_bottle.png]
>>>>
>>>> -- 
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