bulentsiyah · July 5, 2018 21:25 · Jul 5, 2018 · Jul 5, 2018
diff --git a/IleriMetinTanimaViewController.swift b/IleriMetinTanimaViewController.swift
@@ -0,0 +1,125 @@
+//
+//  IleriMetinTanimaViewController.swift
+//  ML Ornekleri
+//
+//  Created by Bülent Siyah on 5.07.2018.
+//  Copyright © 2018 Bülent Siyah. All rights reserved.
+//
+
+import UIKit
+import Vision
+import TesseractOCR
+
+class IleriMetinTanimaViewController: UIViewController , UIImagePickerControllerDelegate, UINavigationControllerDelegate {
+
+    @IBOutlet weak var imageView: UIImageView!
+
+    @IBOutlet weak var txtResult: UITextView!
+    var imagePicker: UIImagePickerController!
+    var userPickedImage: UIImage?
+
+    override func viewDidLoad() {
+        super.viewDidLoad()
+
+        imagePicker = UIImagePickerController()
+        imagePicker.delegate = self
+
+    }
+
+    func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [String : Any]) {
+
+        if let pickedImage = info[UIImagePickerControllerOriginalImage] as? UIImage {
+            imageView.contentMode = .scaleAspectFit
+            imageView.image = pickedImage
+            self.userPickedImage = pickedImage
+        }
+
+        dismiss(animated: true, completion: nil)
+    }
+
+    func imagePickerControllerDidCancel(_ picker: UIImagePickerController) {
+        dismiss(animated: true, completion: nil)
+    }
+
+    @IBAction func btnResimCek(_ sender: Any) {
+        imagePicker.allowsEditing = false
+        imagePicker.sourceType = .photoLibrary
+        present(imagePicker, animated: true, completion: nil)
+    }
+
+    @IBAction func btnAnalizEt(_ sender: Any) {
+
+        findText()
+        recognizeTextImage()
+    }
+
+    func findText() {
+
+        // VN Request Rectangles (faces / Text)
+
+        var textLayers: [CAShapeLayer] = []
+        let textDetectionRequest = VNDetectTextRectanglesRequest(completionHandler: { (request, error) in
+
+            guard let observations = request.results as? [VNTextObservation] else {
+                fatalError("unexpected results")
+            }
+
+            //self.addShapesToText
+            textLayers = self.addShapesToText(forObservations: observations, withImageView: self.imageView)
+
+        })
+
+        if let image = self.imageView.image, let cgImage = image.cgImage {
+
+            let handler = VNImageRequestHandler(cgImage: cgImage, options: [:])
+
+            guard let _ = try? handler.perform([textDetectionRequest]) else {
+                return print("could not perform the text detection request")
+            }
+
+            for layer in textLayers {
+                self.imageView.layer.addSublayer(layer)
+            }
+
+        }
+
+    }
+
+    func addShapesToText(forObservations observations: [VNTextObservation], withImageView textImageView: UIImageView) -> [CAShapeLayer] {
+
+        let layers: [CAShapeLayer] = observations.map {observation in
+
+            let w = observation.boundingBox.size.width * textImageView.bounds.width
+            let h = observation.boundingBox.size.height * textImageView.bounds.height
+            let x = observation.boundingBox.origin.x * textImageView.bounds.width
+            let y = abs(((observation.boundingBox.origin.y * (textImageView.bounds.height)) - textImageView.bounds.height )) - h
+
+            let layer = CAShapeLayer()
+            layer.frame = CGRect(x: x, y: y, width: w, height: h)
+            layer.borderColor = UIColor.red.cgColor
+            layer.cornerRadius = 5
+            layer.borderWidth = 5
+            layer.strokeColor = UIColor.red.cgColor
+            layer.backgroundColor = UIColor.green.cgColor
+            layer.opacity =  0.5 // 0 - 1
+
+            return layer
+
+        }
+
+        return layers
+
+    }
+
+    func recognizeTextImage(){
+        if let tesseract = G8Tesseract(language: "eng+fra"){
+            tesseract.engineMode = .tesseractCubeCombined
+            tesseract.pageSegmentationMode = .auto
+            tesseract.image = userPickedImage?.g8_blackAndWhite()
+            tesseract.recognize()
+            txtResult.text = tesseract.recognizedText
+
+        }
+
+    }
+}
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