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let featureValue = try MLFeatureValue(cgImage: image.cgImage!, constraint: imageConstraint, options: nil) |
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let imageConstraint = model?.modelDescription.inputDescriptionsByName["image"]!.imageConstraint! |
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let updateTask = try MLUpdateTask(forModelAt: updatableModelURL, trainingData: trainingData, configuration: model.configuration, completionHandler: { context in | |
} | |
updateTask.resume() |
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private func loadModel(url: URL) -> MLModel? { | |
do { | |
let config = MLModelConfiguration() | |
config.computeUnits = .all | |
return try MLModel(contentsOf: url, configuration: config) | |
} catch { | |
print("Error loading model: \(error)") | |
return nil | |
} | |
} |
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func predict(image: UIImage) -> Animal? { | |
let imageConstraint = model.modelDescription.inputDescriptionsByName["image"]!.imageConstraint! | |
do{ | |
let imageOptions: [MLFeatureValue.ImageOption: Any] = [ | |
.cropAndScale: VNImageCropAndScaleOption.scaleFill.rawValue | |
] | |
let featureValue = try MLFeatureValue(cgImage: image.cgImage!, constraint: imageConstraint, options: imageOptions) |
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private func batchProvider() -> MLArrayBatchProvider | |
{ | |
var batchInputs: [MLFeatureProvider] = [] | |
let imageOptions: [MLFeatureValue.ImageOption: Any] = [ | |
.cropAndScale: VNImageCropAndScaleOption.scaleFill.rawValue | |
] | |
for (image,label) in imageLabelDictionary { | |
do{ | |
let featureValue = try MLFeatureValue(cgImage: image.cgImage!, constraint: imageConstraint, options: imageOptions) |
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let fileManager = FileManager.default | |
let documentDirectory = try fileManager.url(for: .documentDirectory, in: .userDomainMask, appropriateFor:nil, create:true) | |
let modelURL = documentDirectory.appendingPathComponent("CatDog.mlmodelc") |
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let config = UIImage.SymbolConfiguration(textStyle: .largeTitle) | |
UIImage(systemName: "paperplane", withConfiguration : config) |
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