Catie Catterwaul | Duration: 0h 37m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 244 MB | Language: English + SUB
Learn how to detect hand and body landmarks in live video with help from the Vision framework. Explore the kind of data Vision can provide, and use it to evaluate hand and body poses for simple gestures.
Who is this for?
This course will be best for experienced iOS developers who are comfortable with Swift. It focuses exclusively on using the Vision framework to detect and evaluate hand and body poses via live video capture. The UI is not a focus of this course, but the project does use SwiftUI and UIKit.
Covered concepts
* Vision
* AVFoundation
* Hand Pose Request & Observation
* Hand Anatomy
* VNRecognizedPoint
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