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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. 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.
Features
- The framework relies on the concept of a processing pipeline
- Arbitrarily complex processing operations can be built from a combination of a series of smaller operations
- This is an object-oriented framework
- With classes that encapsulate inputs, processing operations, and outputs
- The processing operations use Open GL (ES) vertex and fragment shaders to perform their image manipulations on the GPU
- This project supports the Swift Package Manager
Project Samples
