CoreML Place205-GoogLeNet Example (https://theappspace.com)

DetectScene.swift

func scanImage(image: CIImage){
    // Load the ML model through its generated class
    guard let model = try? VNCoreMLModel(for: GoogLeNetPlaces().model) else {
        fatalError("can't load Places ML model")
    }
    
    // Create a Vision request with completion handler
    let request = VNCoreMLRequest(model: model) { request, error in
        guard let results = request.results as? [VNClassificationObservation] else {
            fatalError("unexpected result type from VNCoreMLRequest")
        }

        for r in results{
            let percent = Int(r.confidence * 100)
            print("\(r.identifier) \(percent)%")
        }

    }
    
    // Run the Core ML GoogLeNetPlaces classifier on global dispatch queue
    let handler = VNImageRequestHandler(ciImage: image)
    DispatchQueue.global(qos: .userInteractive).async {
        do {
            try handler.perform([request])
        } catch {
            print(error)
        }
    }
}