前言：
關於前面mlmodel的部分還沒搞定
事先測試了一下CoreML的功能

VC程式碼：

import UIKit
import CoreML

class ViewController: UIViewController, UINavigationControllerDelegate {
    
    @IBOutlet weak var imageView: UIImageView!
    @IBOutlet weak var classifier: UILabel!
    
    var model: Inceptionv3!
    
    override func viewDidLoad() {
        super.viewDidLoad()
        // Do any additional setup after loading the view, typically from a nib.
    }
    
    override func viewWillAppear(_ animated: Bool) {
        model = Inceptionv3()
    }
    
    override func didReceiveMemoryWarning() {
        super.didReceiveMemoryWarning()
        // Dispose of any resources that can be recreated.
    }
    
    @IBAction func camera(_ sender: Any) {
        
        if !UIImagePickerController.isSourceTypeAvailable(.camera) {
            return
        }
        
        let cameraPicker = UIImagePickerController()
        cameraPicker.delegate = self
        cameraPicker.sourceType = .camera
        cameraPicker.allowsEditing = false
        
        present(cameraPicker, animated: true)
    }
    
    @IBAction func openLibrary(_ sender: Any) {
        let picker = UIImagePickerController()
        picker.allowsEditing = false
        picker.delegate = self
        picker.sourceType = .photoLibrary
        present(picker, animated: true)
    }

}

extension ViewController: UIImagePickerControllerDelegate {
    func imagePickerControllerDidCancel(_ picker: UIImagePickerController) {
        dismiss(animated: true, completion: nil)
    }
    
    func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [String : Any]) {
        
        picker.dismiss(animated: true)
        classifier.text = "Analyzing Image..."
        guard let image = info["UIImagePickerControllerOriginalImage"] as? UIImage else {
            return
        } //1
        
        UIGraphicsBeginImageContextWithOptions(CGSize(width: 416, height: 416), true, 2.0)
        image.draw(in: CGRect(x: 0, y: 0, width: 416, height: 416))
        let newImage = UIGraphicsGetImageFromCurrentImageContext()!
        UIGraphicsEndImageContext()
        
        let attrs = [kCVPixelBufferCGImageCompatibilityKey: kCFBooleanTrue, kCVPixelBufferCGBitmapContextCompatibilityKey: kCFBooleanTrue] as CFDictionary
        var pixelBuffer : CVPixelBuffer?
        let status = CVPixelBufferCreate(kCFAllocatorDefault, Int(newImage.size.width), Int(newImage.size.height), kCVPixelFormatType_32ARGB, attrs, &pixelBuffer)
        guard (status == kCVReturnSuccess) else {
            return
        }
        
        CVPixelBufferLockBaseAddress(pixelBuffer!, CVPixelBufferLockFlags(rawValue: 0))
        let pixelData = CVPixelBufferGetBaseAddress(pixelBuffer!)
        
        let rgbColorSpace = CGColorSpaceCreateDeviceRGB()
        let context = CGContext(data: pixelData, width: Int(newImage.size.width), height: Int(newImage.size.height), bitsPerComponent: 8, bytesPerRow: CVPixelBufferGetBytesPerRow(pixelBuffer!), space: rgbColorSpace, bitmapInfo: CGImageAlphaInfo.noneSkipFirst.rawValue) //3
        
        context?.translateBy(x: 0, y: newImage.size.height)
        context?.scaleBy(x: 1.0, y: -1.0)
        
        UIGraphicsPushContext(context!)
        newImage.draw(in: CGRect(x: 0, y: 0, width: newImage.size.width, height: newImage.size.height))
        UIGraphicsPopContext()
        CVPixelBufferUnlockBaseAddress(pixelBuffer!, CVPixelBufferLockFlags(rawValue: 0))
        imageView.image = newImage
        
        // Core ML
//        guard let prediction = try? model.prediction(image: pixelBuffer!) else {
//            return
//        }
        guard let prediction = try? model.prediction(image: pixelBuffer!) else {
            return
        }
        classifier.text = "I think this is a \(prediction.classLabel)."
    }
}