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May 26, 2021 05:29
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,91 @@ import UIKit import Vision class ViewController: UIViewController, UIImagePickerControllerDelegate, UINavigationControllerDelegate { @IBOutlet weak var imageView: UIImageView! @IBOutlet weak var textView: UITextView! var animalRecognitionRequest = VNRecognizeAnimalsRequest(completionHandler: nil) private let animalRecognitionWorkQueue = DispatchQueue(label: "PetClassifierRequest", qos: .userInitiated, attributes: [], autoreleaseFrequency: .workItem) override func viewDidLoad() { super.viewDidLoad() textView.isEditable = false setupVision() } @IBAction func takePicture(_ sender: Any) { let imagePicker = UIImagePickerController() imagePicker.sourceType = .photoLibrary imagePicker.delegate = self present(imagePicker, animated: true, completion: nil) } private func setupVision() { animalRecognitionRequest = VNRecognizeAnimalsRequest { (request, error) in DispatchQueue.main.async { if let results = request.results as? [VNRecognizedObjectObservation] { var detectionString = "" var animalCount = 0 for result in results { let animals = result.labels for animal in animals { animalCount = animalCount + 1 var animalLabel = "" if animal.identifier == "Cat"{ animalLabel = "😸" } else{ animalLabel = "🐶" } let string = "#\(animalCount) \(animal.identifier) \(animalLabel) confidence is \(animal.confidence)\n" detectionString = detectionString + string } } if detectionString.isEmpty{ detectionString = "Neither cat nor dog" } self.textView.text = detectionString } } } } private func processImage(_ image: UIImage) { imageView.image = image animalClassifier(image) } private func animalClassifier(_ image: UIImage) { guard let cgImage = image.cgImage else { return } textView.text = "" animalRecognitionWorkQueue.async { let requestHandler = VNImageRequestHandler(cgImage: cgImage, options: [:]) do { try requestHandler.perform([self.animalRecognitionRequest]) } catch { print(error) } } } func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [UIImagePickerController.InfoKey : Any]) { dismiss(animated: true) { if let image = info[UIImagePickerController.InfoKey.originalImage] as? UIImage { self.imageView.image = image self.processImage(image) } } } }