Showing 8 open source projects for "processing"

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  • 1
    Kingfisher

    Kingfisher

    Lightweight, pure-Swift library for downloading images from the web

    Kingfisher is a powerful, pure-Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app. Asynchronous image downloading and caching. Loading image from either URLSession-based networking or local provided data. Useful image processors and filters provided. Multiple-layer hybrid cache for both memory and disk. Fine control on cache behavior. Customizable expiration date and size limit....
    Downloads: 2 This Week
    Last Update:
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  • 2
    Nuke

    Nuke

    Image loading system

    Nuke ILS provides an efficient way to download and display images in your app. It's easy to learn and use thanks to a clear and concise API. Its architecture enables many powerful features while offering virtually unlimited possibilities for customization. Despite the number of features, the framework is lean and compiles in just under 3 seconds¹. Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and...
    Downloads: 2 This Week
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  • 3
    SwiftFFmpeg

    SwiftFFmpeg

    A Swift wrapper for the FFmpeg API

    SwiftFFmpeg is a Swift wrapper for FFmpeg that provides direct access to multimedia processing capabilities within Apple development environments. It exposes FFmpeg’s libraries through Swift-friendly APIs, enabling developers to perform encoding, decoding, and stream manipulation tasks. The project is designed to maintain performance while improving usability through modern language features. It supports working with media containers, codecs, and frames at a low level, offering fine control over processing pipelines. ...
    Downloads: 0 This Week
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  • 4
    Textream

    Textream

    Textream is a free macOS teleprompter app for streamers, interviewers

    Textream is an open-source, free macOS teleprompter application designed for streamers, podcasters, presenters, and interviewers who want a smooth, distraction-free way to stay on script. It runs natively on macOS and leverages on-device speech recognition to highlight each word in real time as you speak, keeping your focus where it belongs — on delivery rather than memorization. The interface supports multiple modes of use, such as classic constant-scroll auto-scrolling, voice-activated...
    Downloads: 44 This Week
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  • 5
    AudioKit

    AudioKit

    Swift audio synthesis, processing, & analysis platform

    AudioKit is an entire audio development ecosystem of code repositories, packages, libraries, algorithms, applications, playgorunds, tests, and scripts, built and used by a community of audio programmers, app developers, engineers, researchers, scientists, musicians, gamers, and people new to programming. An important goal for AudioKit is to allow it to grow and be maintainable by a handful of volunteers. For this reason we have extensive tests that are run whenever changes are made to any...
    Downloads: 0 This Week
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  • 6
    AppIcon

    AppIcon

    AppIcon generates appiconset contains each resolution image for iOS

    AppIcon generates *.appiconset contains each resolution image for iOS, MacOS. AppIcon needs path of base image(.png). The size of base image is 1024x1024 pixel preferably.
    Downloads: 0 This Week
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  • 7
    ARVideoKit

    ARVideoKit

    Capture & record ARKit videos, photos, live photos, and GIFs

    An iOS Framework that enables developers to capture videos, photos, Live Photos, and GIFs with ARKit content. In other words, you no longer have to screen record/screenshot to capture videos and photos of your awesome ARKit apps!
    Downloads: 0 This Week
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  • 8
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. 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. ...
    Downloads: 0 This Week
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