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Here's next week's video, this one goes out publicly on Tuesday 13th. This is basically me getting my feet wet with the NVIDIA Jetson suite of deep learning / transfer learning tools. It's pretty easy to train a vision recognition model, so there are lots of possibilities for this in other projects.

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Simple Deep Learning Demo with Jetson Nano

Get your first 10 PCBs for free at https://www.pcbway.com/ I'm trying out training a really simple machine learning model using transfer learning on the NVIDIA Jetson Nano with Jetson Inference. I used a very minimal data set of images captured and trained using scripts provided by NVIDIA. I wrote a simple script to make the robot look for high contrast markers in turn. Jetson Inference docs: https://github.com/dusty-nv/jetson-inference Autonomous racer video: https://www.youtube.com/watch?v=4B2ipB7n5Nk You can support me on Patreon or buy my Merchandise: *************************** Patreon: https://www.patreon.com/xrobots Merchandise: https://teespring.com/stores/james-bruton *************************** Affiliate links - I will get some money of you use them to sign up or buy something: *************************** Matterhackers 3D printing supplies: http://www.matterhackers.com?aff=7500 Music for your YouTube videos: http://share.epidemicsound.com/xrobots *************************** Other socials: *************************** Instagram: https://www.instagram.com/xrobotsuk Facebook: https://www.facebook.com/xrobotsuk/ Twitter: https://twitter.com/xrobotsuk *************************** CAD and Code for my projects: https://github.com/XRobots Thanks to 3D Fuel for the filament: https://www.3dfuel.com/ Huge thanks to my Patrons, without whom my standard of living would drastically decline. Like, inside out-Farm Foods bag decline. Plus a very special shoutout to Lulzbot, Inc who keep me in LulzBot 3D printers and support me via Patreon. HARDWARE/SOFTWARE Below you can also find a lot of the typical tools, equipment and supplies used in my projects: Lulzbot 3D Printers: http://bit.ly/2Sj6nil Lincoln Electric Welder: https://bit.ly/2Rqhqos CNC Router: https://bit.ly/2QdsNjt Ryobi Tools: http://bit.ly/2RhArcD Axminster Micro Lathe: http://bit.ly/2Sj6eeN 3D Printer Filament: http://bit.ly/2PdcdUu Soldering Iron: http://bit.ly/2DrNWDR Vectric CNC Software: http://bit.ly/2zxpZqv Why not join my community, who are mostly made up of actual geniuses. There’s a Facebook group and everything: https://www.facebook.com/groups/287089964833488/ XROBOTS Former toy designer, current YouTube maker and general robotics, electrical and mechanical engineer, I’m a fan of doing it yourself and innovation by trial and error. My channel is where I share some of my useful and not-so-useful inventions, designs and maker advice. Iron Man is my go-to cosplay, and 3D printing can solve most issues - broken bolts, missing parts, world hunger, you name it. XRobots is the community around my content where you can get in touch, share tips and advice, and more build FAQs, schematics and designs are also available.

Comments

Anonymous

I love the autonomy! You might check out open pose, a library from CMU for gesture and pose recognition. I was introduced to it in this awesome video by a computer vision wiz that I really enjoyed: https://youtu.be/RHRQoaqQIgo It looks like some folks have gotten it running on a jetson nano too!

Anonymous

Way cool, thanks for sharing! Keep on rocking on.

Thomas Messerschmidt

Looks great! I tried some dark net YOLO software on my Betty9 robot, but that was awfully difficult to get running (Windows) and I only got 1 frame per two seconds.

XRobots

I was impressed by how quick and reliable this is - but that the whole intention of NVIDIA with the Jetson range.

Thomas Messerschmidt

I’ll have to try it sometime. How many objects can it classify?

XRobots

the stock examples have around 100 categories, but I don't think that's the limit.

dans

An idea would be to read QR codes with ROS. You can use them as navigation references with an unique ID, and there is still room for some instructions on what to do once the robot has visited them. They are also much more unique then a circle or a square which might be detected randomly elsewhere too. Just an idea at least :)

XRobots

I was considering more unique markers, but it would also be interesting to have it recognise certain objects of characteristics of the building - that would be closer to human perception. I just need to do some more testing on transfer learning to see how far I can take it.

Zane_Khan

it'll be cool when it recognises you and then says something from your gesture for example if your look sad it could say something

dans

I believe ROS can read QR codes directly, so it could be useful without any of the AI stuff at all, maybe even faster to process, but that is just a guess :)