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IBM Watson Eğitilmiş Model (Core ML) ile Meyve Tanımlama | iOS -- http://www.bulentsiyah.com/ibm-watson-egitilmis-model-core-ml-ile-meyve-tanimlama-ios/
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| // | |
| // IBMMeyveViewController.swift | |
| // ML Ornekleri | |
| // | |
| // Created by Bülent Siyah on 2.07.2018. | |
| // Copyright © 2018 Bülent Siyah. All rights reserved. | |
| // | |
| import UIKit | |
| import CoreML | |
| import Vision | |
| class IBMMeyveViewController: UIViewController , UIImagePickerControllerDelegate, UINavigationControllerDelegate { | |
| @IBOutlet weak var imageViewSelected: UIImageView! | |
| @IBOutlet weak var labelResult: UILabel! | |
| var imagePicker: UIImagePickerController! | |
| var userPickedImage: UIImage? | |
| override func viewDidLoad() { | |
| super.viewDidLoad() | |
| imagePicker = UIImagePickerController() | |
| imagePicker.delegate = self | |
| } | |
| @IBAction func btnImageSec(_ sender: Any) { | |
| imagePicker.allowsEditing = false | |
| imagePicker.sourceType = .photoLibrary | |
| present(imagePicker, animated: true, completion: nil) | |
| } | |
| func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [String : Any]) { | |
| if let pickedImage = info[UIImagePickerControllerOriginalImage] as? UIImage { | |
| imageViewSelected.contentMode = .scaleAspectFit | |
| imageViewSelected.image = pickedImage | |
| self.userPickedImage = pickedImage | |
| } | |
| dismiss(animated: true, completion: nil) | |
| } | |
| func imagePickerControllerDidCancel(_ picker: UIImagePickerController) { | |
| dismiss(animated: true, completion: nil) | |
| } | |
| @IBAction func btnAnalizEt(_ sender: Any) { | |
| do { | |
| let model = try VNCoreMLModel(for: ElmaMandalinePortakal().model) | |
| let request = VNCoreMLRequest(model: model) { (request, error) in | |
| if let results = request.results as? [VNClassificationObservation], let result = results.first { | |
| DispatchQueue.main.async { | |
| self.labelResult.text = "\(result.identifier) \(result.confidence * 100)%" | |
| } | |
| } | |
| } | |
| request.imageCropAndScaleOption = .centerCrop | |
| DispatchQueue.global(qos: DispatchQoS.QoSClass.userInitiated).async { | |
| let handler = VNImageRequestHandler(cgImage: self.userPickedImage!.cgImage!, options: [:]) | |
| do { | |
| try handler.perform([request]) | |
| } catch { | |
| print(error) | |
| } | |
| } | |
| }catch { | |
| print(error) | |
| } | |
| } | |
| } |
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