Showing 4 open source projects for "virtual-machine"

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  • 1
    Posturr

    Posturr

    A macOS app that blurs your screen when you slouch

    Posturr is a macOS application that uses computer vision and machine learning — specifically Apple’s Vision framework — to monitor a user’s posture in real time and encourage healthier habits by visually responding when poor posture is detected. Running locally on the Mac, the app accesses the built-in camera to detect when you slouch or sit incorrectly, and when it recognizes sustained slouching, it applies a progressive visual blur to the screen as a subtle but effective cue to straighten up. ...
    Downloads: 0 This Week
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  • 2
    CoreRender

    CoreRender

    UIKit a-là SwiftUI.framework

    ...CoreRender uses a declarative API to define UI components. You simply describe the layout for your UI based on a set of inputs and the framework takes care of the rest (diff and reconciliation from virtual view hierarchy to the actual one under the hood). CoreRender includes the robust and battle-tested Facebook's Yoga as default layout engine. Any component such as a text or image can be recycled and reused anywhere in the UI.
    Downloads: 0 This Week
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  • 3
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    ...The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
    Downloads: 1 This Week
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  • 4
    LocoKit

    LocoKit

    Location, motion, and activity recording framework for iOS

    Machine Learning-based activity type detection. Improved detection of Core Motion activity types (stationary, walking, running, cycling, automotive). Distinguish between specific transport types (car, train, bus, motorcycle, airplane, boat). Optionally produce high level Path and Visit timeline items, to represent the recording session at human level.
    Downloads: 0 This Week
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