GPUImage2

Why we included this project

GPUImage2 gives Swift developers a straightforward way to run realtime image and video processing on the GPU instead of the CPU, with a pipeline model that links a camera, movie, or still image through a chain of filters to a view, file, or raw data. It bundles a large set of ready-made operations, including color adjustments, blurs, and edge detection such as Sobel, so common effects become a few lines of Swift rather than a graphics programming project. The framework runs on Mac, iOS, and Linux, and it is light enough to handle live 720p edge detection on a Raspberry Pi, which makes it a sensible choice for embedded or machine-vision experiments where realtime throughput matters. Developers who used the original Objective-C GPUImage will recognize the architecture, and newcomers can pick up the operator-based chaining syntax quickly.