Question 1

How do I add GPUImage to a Swift project?

Accepted Answer

You need to add GPUImage as a framework in Xcode by dragging the .xcodeproj, setting target dependencies, and ensuring it's built as a module for Swift compatibility. Then use 'import GPUImage' in your code, but note the setup requires careful configuration of build phases.

Question 2

Is GPUImage faster than Core Image for video processing?

Accepted Answer

Yes, on older devices like iPhone 4, GPUImage is up to 40x faster for basic operations like gamma filtering. However, the README notes that for complex tasks like large-radius Gaussian blurs, Core Image can outperform it on newer hardware like iPhone 4S.

Question 3

Can GPUImage handle live camera filtering in real-time?

Accepted Answer

Absolutely, it's designed for real-time processing with GPUImageVideoCamera for live video feeds, allowing filters to be applied and displayed instantly via GPUImageView, as demonstrated in the example code for sepia tone filtering.

Question 4

How to write a custom filter in GPUImage?

Accepted Answer

Create an OpenGL ES 2.0 fragment shader in GLSL, save it as a .fsh file, and initialize a GPUImageFilter with it. The README provides a sepia-tone shader example and instructions to move the shader to the Copy Bundle Resources phase in Xcode.

Question 5

What devices support GPUImage?

Accepted Answer

It requires OpenGL ES 2.0, so it won't run on original iPhone, iPhone 3G, or early iPod touches. Supported devices include iPhone 3GS and later, with iOS 4.1+ as deployment target, but camera functionality needs iOS 4.3+ for previews.

Question 6

GPUImage or Core Image for my iOS app?

Accepted Answer

Choose GPUImage for custom shaders, real-time performance on iOS 4.0+, or when you need full control over filtering. Opt for Core Image if you need built-in advanced features like facial detection or are targeting iOS 5.0+ with standard effects.

GPU Image

What is GPU Image?

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