Experiments with Google just launched Teachable Machine 2.0

Mickey666Maus

Germany

Asked Nov 2019

Resolved by EzAng!

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Go over to their website to check the new features!! https://teachablemachine.withgoogle.com/

Teachable Machine is a web-based tool that makes creating machine learning models fast, easy, and accessible to everyone. You can now export code to use it offline...

Or connect an Arduino to drive your robot directly by using a web app!! So there are a lot of options... https://experiments.withgoogle.com/tiny-sorter/view

The above sketch runs an the Arduino Leonardo, which is supported hardware on the Synthiam platform!! So who will be first to do some ARC integration for this?

Related Hardware Arduino Leonardo

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EzAng

PRO

USA

#1 Nov 2019

Thanks, very good website, more to learn

EzAng

PRO

USA

#2 Nov 2019 — Edited Nov 2019

I see I can do the same thing with ARC cognitive description, vision

DJ Sures

PRO

Synthiam

#3 Nov 2019

Thatd be a neat skill control plugin if someone were to make one for this!

fxrtst

PRO

USA

#4 Nov 2019

Oh...My....Gawd......................................!!!!!!

Mickey666Maus

Germany

#5 Nov 2019 — Edited Nov 2019

Hey guys, I took the time to look at the options at hand when using teachable machine, its quiet easy to use on ARC!! as an example how to drive a servo, you could...

Just build your project, and give you classes names that represent your servo positions and train your model
Click on export, click update my cloud model...and copy the p5.js to your clipboard
Add a servo and HTTP server to your ARC Project, start the server! Make a new text document from your clipboard and rename it to index.html
Edit the index.html file, find the "// The results are in an array ordered by confidence." part and add in your HTTP server address and the servo to move!

// The results are in an array ordered by confidence.
    // console.log(results[0]);
    label = results[0].label;
    let url = ("http://192.168.178.61/Exec?password=admin&script=Servo(D0,"; + (results[0].label) + ")");
    httpGet(url,"text");
    // Classifiy again!
    classifyVideo();