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QuickPose provides developer-oriented cutting edge ML features of MediaPipe and BlazePose. with easy integration, production ready code. Dramatically improving the speed of implementation of MediaPipe and BlazePose into mobile applications.
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QuickPose provides developer-oriented cutting edge ML features of MediaPipe and BlazePose, with easy integration and production ready code. Dramatically improving the speed of implementation of MediaPipe and BlazePose's pose estimation and skeleton tracking features into mobile applications.
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@@ -23,6 +23,19 @@ QuickPose provides developer-oriented cutting edge ML features of MediaPipe and
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How it works
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------------------
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QuickPose process's a camera's or video's output frame and make it easy for developers to perform complex AI features to the image, such as overlaying markings to the output image to highlight the user's pose.
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```swift
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+----------++-------------++-----------------+
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||||| Overlay Image |
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| Camera |--------->| QuickPose |--------->|+|
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||||| Results |
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+----------++-------------++-----------------+
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```
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Features
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------------------
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@@ -72,8 +85,53 @@ Getting Started
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See code examples below or download our [Sample Apps](/SampleApps).
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### Getting Started with Newer Macs M1/M2
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__Step 1__: Download/Clone Repo
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__Step 2__: Open Basic Demo
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__Step 3__: Choose Build Target "My Mac (Designed For iPad/iPhone)"
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__Step 4__: Run
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__Step 5__: Explore the features and returned results
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```swift
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quickPose.start(features: [.overlay(.upperBody)], onFrame: { status, image, features, landmarks in
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ifcase .success(_) = status {
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overlayImage = image
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}
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})
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```
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### Getting Started with Older Intel Macs
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__Step 1__: Download/Clone Repo
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__Step 2__: Open Basic Demo
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__Step 3__: Choose Build Target as your physical device
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__Step 5__: You will need to change the bundleid and register with apple if you haven't already.
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__Step 5__: Run
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__Step 6__: Explore the features and returned results
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```swift
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quickPose.start(features: [.overlay(.upperBody)], onFrame: { status, image, features, landmarks in
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