Error Name: "Failed to load Core ML model." UserInfo={NSLocalizedDescription=Failed to load Core ML model.}
//Code
/* 5. Declare a function for image classification */
func detect(image: CIImage) {
let config = MLModelConfiguration()
do {
guard let model = try? VNCoreMLModel(for: TransferLearning(configuration: config).model) else {
throw NSError(domain: "in.vihorgupta.app", code: -1, userInfo: [NSLocalizedDescriptionKey: "Failed to load Core ML model."])
}
let request = VNCoreMLRequest(model: model) { (request, error) in
if let error = error {
print("Model failed to process image with error: \(error)")
return
}
guard let results = request.results as? [VNClassificationObservation] else {
print("Model failed to process image.")
return
}
if let firstResult = results.first {
self.textView.text = firstResult.identifier.capitalized
self.textView.textColor = .systemOrange
}
}
let handler = VNImageRequestHandler(ciImage: image)
try handler.perform([request])
} catch {
print("Error occurred: \(error)")
}
}
I want the app to load the MLModel and predict the image. But giving the error : 2023-03-01 12:04:12.804469+0530 Chapter-13[3098:150405] Metal API Validation Enabled Error occurred: Error Domain=in.vihorgupta.Chapter-13 Code=-1 "Failed to load Core ML model." UserInfo={NSLocalizedDescription=Failed to load Core ML model.}