Machine Learning Projects for Mobile Applications

iOS application

In the iOS application, we will cover the important details here:

1. Import the models into your Xcode project. Make sure you add them to the target.
2. After importing, you'll be able to instantiate the models like so:

private let models = [
    wave().model,
    udnie().model,
    rain_princess().model,
    la_muse().model
]

3. Create a class for the model input parameter, which is MLFeatureProvider. img_placeholder is the input that is defined in the evaluation script:

// StyleTransferInput.swift // StyleTransfer import CoreML class StyleTransferInput : MLFeatureProvider { var input: CVPixelBuffer var featureNames: Set<String> { get { return ["img_placeholder__0"] } } func featureValue(for featureName: String) -> MLFeatureValue? { if ...