Announcing New Course: Detect Hand & Body Poses with Vision in iOS!

Announcing new Pro Course: Detect Hand & Body Poses with Vision in iOS!

Machine learning frameworks that deal with real-time video processing bring us ever-closer to the paradigm of device-free, zero-UI interaction with the technology in our lives.

Although you can argue endlessly about whether we're edging ever closer to a dystopian future as depicted by Skynet in the Terminator series of films, you *can* likely agree that vision processing is a really fun area to play around with.

Come build your own visual gesture-detection app in our new course, Detect Hand & Body Poses with Vision in iOS!

Keep reading to hear more about it from course instructor Catie Catterwaul:

Why should I take your Vision in iOS course?

"Vision is Apple's four-years-young computer vision framework, and they're adding capabilities every year. This is a higher level machine learning tool than CoreML, and lets you experiment with targeted machine learning without having to train your own models.

Join me and give it a try by turning hand and body poses into emoji!"

What surprised you about the Vision framework when making this course?

"Using Vision can be a bit daunting at first, but this course will help break the process down into repeatable steps, while building a fun little app that you can take as far as you'd like."

Can you please share a cool Vision tip with us?

"Vision's hand pose detection gives you a nice API for sorting through a massive amount of joint data from a hand and pulling out just the joints you're interested in. That's especially true if you just want to grab data from a particular finger, like the thumb!"

Hey — the new Ultimate Subscription gets you access to both videos and books, all in the same subscription. Interested? Click here to learn more ➜

Catie's Detect Hand & Body Poses with Vision in iOS course is available for Pro subscribers now!

— Ray