Search Results for "ios project"

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. SwiftFFmpeg integrates seamlessly with iOS, macOS, and other Apple platforms, making it suitable for native app development. ...

This repository aggregates tools, guides, and configuration files aimed at enabling network access in restrictive environments across desktop and mobile platforms. It collects client applications, one-click browser bundles, configuration examples, and references for widely used proxy and tunneling technologies. The emphasis is on approachability: instructions, packaged builds, and links are organized so non-experts can find a workable setup for their device. Because endpoint reliability and...

PPPlayer is a media player built to make watching videos and managing your media library simple and enjoyable. It has a clean, modern interface that makes it easy to find what you're looking for without getting lost in complicated menus. Whether you're browsing your library, searching for something specific, or just sitting down to watch a video, PPPlayer keeps things straightforward. PPPlayer is available for Windows, Linux, macOS, and Android, so you can use it on your favorite...

AnimojiStudio is an archived iOS project for recording Animoji videos without the standard duration limitations of Apple’s built-in experience. It uses Apple’s private AvatarKit framework, the same underlying technology associated with iMessage Animoji, and combines it with ReplayKit screen recording capabilities. The app was created for users who wanted to make longer Animoji clips and share them beyond the normal messaging workflow.

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. ...