--
For more options, visit http://beagleboard.org/discuss
---
You received this message because you are subscribed to the Google Groups "BeagleBoard" group.
To unsubscribe from this group and stop receiving emails from it, send an email to beagleboard...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/beagleboard/76967aac-8360-46cf-af13-61b2236c7155%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
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:
1) The AM5729 is a non-catalog part, which is why there is no real public datasheet.
2) This chip has four EVEs but only one is enabled for the purpose of hacking/experimenting.
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 and TI has already created several examples of how to use it.I've created a wiki page that gives a quick guide for installing and running the examples.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
--
For more options, visit http://beagleboard.org/discuss
---
You received this message because you are subscribed to the Google Groups "BeagleBoard" group.
To unsubscribe from this group and stop receiving emails from it, send an email to beagleboard...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/beagleboard/b1fdf594-4be4-460f-881d-7b489bf1aaba%40googlegroups.com.