Hi all, long time no post, but this is too good.
Those of you doing development want this.
At $200.00 it is 3 times cheaper than the TX1 normal development kit/board and the only difference is no camera module, but any USB camera can be used.

Not quite the poop of the TX2, but for object avoidance or even navigation, by far the best / cheapest deal anywhere.

You will need to sign up as a Nvidia developer, but easy peasy.

http://www.nvidia.com/object/JetsonTX1DeveloperKitSE.html?nvid=nv-i...

If you really want to do neat stuff, this is what you need.

Best regards,

Gary

Views: 2454

Comment by Gary McCray on August 17, 2017 at 9:04pm

I ordered it immediately when they sent me a developer notice.

Their software is demanding but immensely powerful and free, with a big community to back it up.

For any kind of 3D vision or object relative navigation this is the puppy you need.

Comment by JB on August 18, 2017 at 5:00am

We want in Australia! :-(

Comment by benbojangles on August 18, 2017 at 5:54am

Cannot run a full offline convolutional neural network (cnn) at <15fps to track live video :(

The TX2 is not powerful enough to do it.

For full live 25fps object identification, we will need something with greater gpu processing power & greater than 8gb memory. I think nvidia's laptop series gpu (GTX 1080) might be possible. Hey! Nvidia, lend me a gtx 1080 or a titan?! :D

Comment by Gary McCray on August 18, 2017 at 10:26am

Hi ben,
True enough, but cant wait to see you stick the 1080 Titan on your quadcopter with enough battery so it can still get off the ground.

I have a 1070 in my computer, but its not going airborne any time soon.
Navigational grade 3D vision especially with scanned laser rangefinders does not require quite so many GPUs however.
Best,

Gary

Comment by benbojangles on August 18, 2017 at 11:51am

Hi Gary, 
We (I) can capture flight footage from the ground, it doesn't need to be on board the drone, and run it through the groundstation which runs a CNN. I just cannot afford to buy a GTX 1080 or Titan. Else I would be up and developing back in January. Ho-hum.

Comment by Quadzimodo on August 19, 2017 at 4:37am
benbojangles - Have you considered contacting Linus Tech Tips and pitching exploration of your idea as a partnership? Linus has the audience, the industry hook-ups and an insatiable appetite for compelling content. Pitch it just right and I cannot see him saying no to supplying you a suitable donor notebook for your purposes. It is interesting to consider just how much wattage is required to replace even the simplest of human functions, with current consumption on a notebook version of the 1080ti likely to have a baring on the minimum size and endurance of the craft, but at least cooling shouldn't be too much of a challenge.
Comment by Quadzimodo on August 19, 2017 at 5:09am
benbojangles - Doing it on the ground would perhaps be even easier, with you being able to return a loaner card. I reckon your location might be a sticking point, but an inside lead to the local distributor might be just the ticket.
Comment by benbojangles on August 19, 2017 at 5:49am

Thanks, will take a look at Linus Tech Tips, should be interesting!

One thing that CNNs beat us humans at (and I find amazing from doing my tests) is that the GPU can process and identify over 28 airborne objects in under 0.2 seconds, distinguishing between birds, planes, drones. Better than we can ever do! The downside is poor Frames Per Second video processing.

I'm in London too now, you would think there's plenty of investors here, but they don't seem interested in 'just some hobbyist' - you need a Phd from Cambridge/Oxford/Imperial and research funding grants. 


Comment by Fnoop on August 19, 2017 at 10:42am

@benbojangles take a look at the recently released movidius neural compute stick.

Comment by benbojangles on August 19, 2017 at 3:07pm

+1 if it works Fnoop :)

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