update model

OCR-SDK.xcworkspace/xcuserdata/ad.xcuserdatad/xcdebugger/Breakpoints_v2.xcbkptlist

+<?xml version="1.0" encoding="UTF-8"?>
+<Bucket
+   uuid = "FD833007-BFDE-4E90-B09E-D1112B21135E"
+   type = "0"
+   version = "2.0">
+</Bucket>

OCR-SDK/ModelDataHandler/SBKModelDataHandler.swift

-// Copyright 2019 The TensorFlow Authors. All Rights Reserved.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//    http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
 import CoreImage
 import TensorFlowLite
 import UIKit
 import Accelerate
 
-/// A result from invoking the `Interpreter`.
 struct Result {
     let inferenceTime: Double
     let inferences: [Inference]
 }
 
-/// An inference from invoking the `Interpreter`.
 struct Inference {
     let confidence: Float
     let label: String
 }
 
-/// Information about a model file or labels file.
 typealias FileInfo = (name: String, extension: String)
-
-/// Information about the MobileNet model.
 enum MobileNet {
-  static let modelInfo: FileInfo = (name: "liveness", extension: "tflite")
-  static let cardModel: FileInfo = (name: "idcard15072021", extension: "tflite")
-  static let landMarkModel: FileInfo = (name: "face_detection_front", extension: "tflite")
+    static let livenessModel: FileInfo = (name: "liveness", extension: "tflite")
+    static let cardModel: FileInfo = (name: "card", extension: "tflite")
+    static let faceModel: FileInfo = (name: "face", extension: "tflite")
 }
 
-/// This class handles all data preprocessing and makes calls to run inference on a given frame
-/// by invoking the `Interpreter`. It then formats the inferences obtained and returns the top N
-/// results for a successful inference.
 class SBKModelDataHandler {
-
-  // MARK: - Internal Properties
-
-  /// The current thread count used by the TensorFlow Lite Interpreter.
     let threadCount: Int
-
     let resultCount = 3
     let threadCountLimit = 10
+    var subtract: Float = 127.5
     
     // MARK: - Model Parameters
     
     let batchSize = 1
     let inputChannels = 3
-  let inputWidth = 224
-  let inputHeight = 224
-
-  // MARK: - Private Properties
-
-  /// List of labels from the given labels file.
+    var inputWidth = 256
+    var inputHeight = 256
     private var labels: [String] = []
-
-  /// TensorFlow Lite `Interpreter` object for performing inference on a given model.
     private var interpreter: Interpreter
-
-  /// Information about the alpha component in RGBA data.
     private let alphaComponent = (baseOffset: 4, moduloRemainder: 3)
-
-  // MARK: - Initialization
-
-  /// A failable initializer for `ModelDataHandler`. A new instance is created if the model and
-  /// labels files are successfully loaded from the app's main bundle. Default `threadCount` is 1.
     init?(modelFileInfo: FileInfo, threadCount: Int = 1) {
         let modelFilename = modelFileInfo.name
-        
-    // Construct the path to the model file.
-    let bundle = Bundle(for: SBKRecordFace.self)
+        let bundle = Bundle(for: type(of: self))
         guard let modelPath = bundle.path(
             forResource: modelFilename,
             ofType: modelFileInfo.extension
@@ -86,16 +45,11 @@ class SBKModelDataHandler {
             print("Failed to load the model file with name: \(modelFilename).")
             return nil
         }
-        
-        
-    // Specify the options for the `Interpreter`.
         self.threadCount = threadCount
         var options = Interpreter.Options()
         options.threadCount = threadCount
         do {
-      // Create the `Interpreter`.
             interpreter = try Interpreter(modelPath: modelPath, options: options)
-      // Allocate memory for the model's input `Tensor`s.
             try interpreter.allocateTensors()
         } catch let error {
             print("Failed to create the interpreter with error: \(error.localizedDescription)")
@@ -103,45 +57,6 @@ class SBKModelDataHandler {
         }
     }
     
-    func fromImage(image: UIImage, datas: Data, imagesss: UIImage) -> UIColor {
-        var totalR: CGFloat = 0
-        var totalG: CGFloat = 0
-        var totalB: CGFloat = 0
-
-        var count: CGFloat = 0
-
-        for x in 0..<Int(image.size.width) {
-            for y in 0..<Int(image.size.height) {
-                count += 1
-                var rF: CGFloat = 0,
-                gF: CGFloat = 0,
-                bF: CGFloat = 0,
-                aF: CGFloat = 0
-                image.getPixelColor(pos: CGPoint(x: x, y: y), dataImage: datas, image: imagesss ).getRed(&rF, green: &gF, blue: &bF, alpha: &aF)
-                totalR += rF
-                totalG += gF
-                totalB += bF
-            }
-        }
-
-        let averageR = totalR / count
-        let averageG = totalG / count
-        let averageB = totalB / count
-
-        return UIColor(red: averageR, green: averageG, blue: averageB, alpha: 1.0)
-    }
-
-    func convert(cmage:CIImage) -> UIImage
-    {
-         let context:CIContext = CIContext.init(options: nil)
-         let cgImage:CGImage = context.createCGImage(cmage, from: cmage.extent)!
-         let image:UIImage = UIImage.init(cgImage: cgImage)
-         return image
-    }
-    
-  // MARK: - Internal Methods
-
-  /// Performs image preprocessing, invokes the `Interpreter`, and processes the inference results.
     func runModel(onFrame pixelBuffer: CVPixelBuffer) -> [Float]? {
       
       let sourcePixelFormat = CVPixelBufferGetPixelFormatType(pixelBuffer)
@@ -149,8 +64,11 @@ class SBKModelDataHandler {
                sourcePixelFormat == kCVPixelFormatType_32BGRA ||
                  sourcePixelFormat == kCVPixelFormatType_32RGBA)
 
+
       let imageChannels = 4
       assert(imageChannels >= inputChannels)
+
+      // Crops the image to the biggest square in the center and scales it down to model dimensions.
       let scaledSize = CGSize(width: inputWidth, height: inputHeight)
       guard let thumbnailPixelBuffer = pixelBuffer.resized(to: scaledSize) else {
         return nil
@@ -159,6 +77,8 @@ class SBKModelDataHandler {
       let outputTensor: Tensor
       do {
         let inputTensor = try interpreter.input(at: 0)
+
+        // Remove the alpha component from the image buffer to get the RGB data.
         guard let rgbData = rgbDataFromBuffer(
           thumbnailPixelBuffer,
           byteCount: batchSize * inputWidth * inputHeight * inputChannels,
@@ -167,10 +87,19 @@ class SBKModelDataHandler {
           print("Failed to convert the image buffer to RGB data.")
           return nil
         }
+
+          let imageCap = UIImage(data: rgbData)
+         // self.fromImage(image: imageCap!, datas: rgbData, imagesss: imageCap!)
+          
+        // Copy the RGB data to the input `Tensor`.
         try interpreter.copy(rgbData, toInputAt: 0)
+
+        // Run inference by invoking the `Interpreter`.
         let startDate = Date()
         try interpreter.invoke()
         interval = Date().timeIntervalSince(startDate) * 1000
+
+        // Get the output `Tensor` to process the inference results.
         outputTensor = try interpreter.output(at: 0)
       } catch let error {
         print("Failed to invoke the interpreter with error: \(error.localizedDescription)")
@@ -211,7 +140,6 @@ class SBKModelDataHandler {
         guard let sourceData = CVPixelBufferGetBaseAddress(buffer) else {
             return nil
         }
-    
         let width = CVPixelBufferGetWidth(buffer)
         let height = CVPixelBufferGetHeight(buffer)
         let sourceBytesPerRow = CVPixelBufferGetBytesPerRow(buffer)
@@ -224,7 +152,7 @@ class SBKModelDataHandler {
                                          rowBytes: sourceBytesPerRow)
         
         guard let destinationData = malloc(height * destinationBytesPerRow) else {
-      print("Error: out of memory")
+            print("Error: tran bo dem")
             return nil
         }
         
@@ -260,11 +188,15 @@ class SBKModelDataHandler {
         let bytes = Array<UInt8>(unsafeData: byteData)!
         var floats = [Float]()
         for i in 0..<bytes.count {
-        floats.append(Float(bytes[i]) / 255.0)
+            if self.subtract != 0 {
+            floats.append((Float(bytes[i]) - subtract) / subtract)
+            } else {
+                floats.append((Float(bytes[i])))
             }
-    return Data(copyingBufferOf: floats)
+           
         }
-}
+        return Data(copyingBufferOf: floats)
+    }}
 
 // MARK: - Extensions
 

OCR-SDK/UI/SBKCaptureCard/SBKValidateCardView.swift

@@ -18,6 +18,7 @@ open class SBKValidateCardView: UIView, AVCapturePhotoCaptureDelegate {
     @IBOutlet public weak var lbStep: UILabel!
     @IBOutlet public weak var btnCapture: UIButton!
     @IBOutlet public weak var imgCaution: UIImageView!
+    @IBOutlet weak var viewTakePhoto: UIView!
     
     public var captureSession: AVCaptureSession = AVCaptureSession()
     public var stillImageOutput: AVCapturePhotoOutput =  AVCapturePhotoOutput()
@@ -39,7 +40,7 @@ open class SBKValidateCardView: UIView, AVCapturePhotoCaptureDelegate {
     private var cropZone: CGRect?
     private var cropImage: CGRect?
     var overlayView: OverLayCardView?
-    
+    var imagePreview = UIImageView(frame: CGRect(x: 20, y: 20, width: 280, height: 210))
     public var completionSuccessCardStep: (_ validate: ValidateCard?, _ pathImage: String?, _ permissionCamera: Bool?)->Void = {_,_,_  in}
     
     public var iconTakeCard: Data = UIImage(named: "iconCap", in: Bundle(for: SBKTutorialVC.self), compatibleWith: nil)!.pngData()!
@@ -79,6 +80,13 @@ open class SBKValidateCardView: UIView, AVCapturePhotoCaptureDelegate {
         self.labelTypeCard.text = "Use front"
         self.labelTypeCard.textColor = UIColor.white
         self.addSubview(labelTypeCard)
+        self.addSubview(imagePreview)
+    }
+    
+    func setImage(_ image: UIImage) {
+        DispatchQueue.main.async {
+            self.imagePreview.image = image
+        }
     }
     
     func loadViewFromNib() -> UIView? {
@@ -224,13 +232,14 @@ open class SBKValidateCardView: UIView, AVCapturePhotoCaptureDelegate {
         let cropImage = UIImage(data: imageData)!.crop(rect: self.cropImage!, scale: 1.0)
         if let image = cropImage, let urlImage = SBKValidateInput.shared.saveImage(imageName: "imagecard\(typeCamera).png", image: image) {
             self.completionSuccessCardStep(nil, urlImage, nil)
+            self.stopCamera()
         }
     }
     
    
     //Sự kiện chụp ảnh
     @IBAction func onCapturePhoto(_ sender: Any) {
-        if (self.statusValidateImage == ValidateCard.IMAGE_FRONT && self.typeCamera == TypeCard.FRONT) || (self.statusValidateImage == .IMAGE_BACK && self.typeCamera == TypeCard.BACK) {
+        if (self.statusValidateImage == ValidateCard.IMAGE_FRONT && self.typeCamera == TypeCard.FRONT) || (self.statusValidateImage == .IMAGE_BACK && self.typeCamera == TypeCard.BACK) || self.statusValidateImage == .PASSPORT  {
             if #available(iOS 11.0, *) {
                 let settings = AVCapturePhotoSettings(format: [AVVideoCodecKey: AVVideoCodecType.jpeg])
                 stillImageOutput.capturePhoto(with: settings, delegate: self)
@@ -255,6 +264,8 @@ extension SBKValidateCardView: AVCaptureVideoDataOutputSampleBufferDelegate {
         connection.videoOrientation = .portrait
     }
     
+
+    
     public func captureOutput( _ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
         guard let imageFrameInput = CMSampleBufferGetImageBuffer(sampleBuffer) else {
             debugPrint("unable to get image from sample buffer")
@@ -309,7 +320,7 @@ extension SBKValidateCardView: AVCaptureVideoDataOutputSampleBufferDelegate {
                 overlayView.setBorderColor(color: UIColor.red.cgColor)
             }
             
-            if (self.statusValidateImage == ValidateCard.IMAGE_FRONT && self.typeCamera == .FRONT) || (self.statusValidateImage == .IMAGE_BACK && self.typeCamera == .BACK) {
+            if (self.statusValidateImage == ValidateCard.IMAGE_FRONT && self.typeCamera == .FRONT) || (self.statusValidateImage == .IMAGE_BACK && self.typeCamera == .BACK) || self.statusValidateImage == .PASSPORT {
                 self.lbDescription.textColor = .green
                 self.lbDescription.text = "Are you ready. Let's start!".localized()
                 self.imgCaution.isHidden = true

OCR-SDK/UI/SBKRecordFace/SBKRecordFace.swift

@@ -25,7 +25,7 @@ class SBKRecordFace: UIViewController, AVCaptureVideoDataOutputSampleBufferDeleg
     private let videoDataOutput = AVCaptureVideoDataOutput()
     
     private var modelDataHandler: SBKModelDataHandler? =
-        SBKModelDataHandler(modelFileInfo: MobileNet.modelInfo)
+        SBKModelDataHandler(modelFileInfo: MobileNet.faceModel)
     private var result: [Float]?
     private var previousInferenceTimeMs: TimeInterval = Date.distantPast.timeIntervalSince1970 * 1000
     private let delayBetweenInferencesMs: Double = 1000

OCR-SDK/UI/SBKRecordFace/SBKRecordFaceView.swift

@@ -30,7 +30,7 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
     private lazy var previewLayer = AVCaptureVideoPreviewLayer(session: self.captureSession)
     private let videoDataOutput = AVCaptureVideoDataOutput()
     
-    private var modelDataHandler: SBKModelDataHandler? = SBKModelDataHandler(modelFileInfo: MobileNet.modelInfo)
+    private var modelDataHandler: SBKModelDataHandler? = SBKModelDataHandler(modelFileInfo: MobileNet.faceModel)
     private var result: [Float]?
     private var previousInferenceTimeMs: TimeInterval = Date.distantPast.timeIntervalSince1970 * 1000
     private let delayBetweenInferencesMs: Double = 1000
@@ -74,6 +74,7 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
         }
         self.checkScreen()
         self.loadCamera()
+        modelDataHandler?.subtract = 0
     }
     
     func loadViewFromNib() -> UIView? {
@@ -206,21 +207,33 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
         
     }
     
-    func didOutput(pixelBuffer: CVPixelBuffer, statusFace: StatusFace) {
+    func getMaxResult(result: [Float]) -> Int {
+        var max = result[0]
+        var index = 0
+        for i in 0..<result.count {
+            index = max < result[i] ? i : index
+            max = max < result[i] ? result[i] : max
+        }
+        return index
+    }
+    
+    
+    func didOutput(pixelBuffer: CVPixelBuffer, statusFace: StatusFace, pureImage: CVPixelBuffer) {
         let currentTimeMs = Date().timeIntervalSince1970 * 1000
         guard (currentTimeMs - previousInferenceTimeMs) >= delayBetweenInferencesMs else { return }
         previousInferenceTimeMs = currentTimeMs
         
         // Pass the pixel buffer to TensorFlow Lite to perform inference.
         result = modelDataHandler?.runModel(onFrame: pixelBuffer)
-        
+        if let result = result {
+            let maxResult = getMaxResult(result: result)
             if self.checkStatusRecord {
-            (result![0] < result![1]) ? (self.numberTrue += 1) : (self.numberFalse += 1)
+                maxResult == 0 ? (self.numberTrue += 1) : (self.numberFalse += 1)
                 self.numberPass += 1
                 DispatchQueue.main.async {
-                let ciimage : CIImage = CIImage(cvPixelBuffer: pixelBuffer)
+                    let ciimage : CIImage = CIImage(cvPixelBuffer: pureImage)
                     let imageView : UIImage = SBKValidateInput.shared.convertCIToUIImage(cmage: ciimage)
-                if self.result![0] < self.result![1] {
+                    if maxResult == 0 {
                         if statusFace == .STRAIGHTFACE && self.checkStep == 0 {
                             if self.dataImageSuccess.count == 0 {
                                 self.dataImageSuccess.append(imageView)
@@ -254,10 +267,10 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
                             self.lbDescription.text = "Exactly".localized()
                             self.checkStep = 3
                             self.viewCheckStep3.backgroundColor = UIColor.colorFromHexa("#FBA02E")
-                        self.completionSuccessFaceRecordStep(.FACE_LEFT, nil, nil)
                             if self.dataImageSuccess.count == 2 {
                                 self.dataImageSuccess.append(imageView)
                             }
+                            self.completionSuccessFaceRecordStep(.FACE_LEFT, nil, nil)
                         } else if statusFace != .TOLEFT && self.checkStep == 2 {
                             self.lbDescription.textColor = UIColor.red
                             self.lbDescription.text = "Please turn to the left".localized()
@@ -271,7 +284,7 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
                     }
                 }
             } else {
-            if result![0] < result![1] {
+                if maxResult == 0 {
                     DispatchQueue.main.async {
                         self.checkStartRecord = true
                         self.lbDescription.textColor = UIColor.white
@@ -296,6 +309,8 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
             }
         }
  
+    }
+    
     @IBAction func onRecord(_ sender: Any) {
         if !self.checkStatusRecord && self.checkStartRecord {
             self.startTimer()
@@ -312,19 +327,20 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
             debugPrint("unable to get image from sample buffer")
             return
         }
-        
+        let pureImage = self.resizeImageFace(pixelBuffer: frame)
         if self.startusCheck {
             if #available(iOS 11.0, *)   {
                 if self.screenHeight == 2436 {
-                    self.detectFace(in: self.resizeImageFace(pixelBuffer: frame.resized(to: CGSize(width: 360, height: 480))!))
+                 
+                    self.detectFace(in: self.resizeImageFace(pixelBuffer: frame.resized(to: CGSize(width: 360, height: 480))!), pureImage: pureImage)
                 } else {
-                    self.detectFace(in: self.resizeImageFace(pixelBuffer: frame))
+                    self.detectFace(in: pureImage, pureImage: pureImage)
                 }
                 
             }
         }
-        
     }
+    
     func checkScreen(){
         if UIDevice().userInterfaceIdiom == .phone {
             self.screenHeight = UIScreen.main.nativeBounds.height
@@ -406,7 +422,7 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
     }
     
     @available(iOS 11.0, *)
-    private func detectFace(in image: CVPixelBuffer) {
+    private func detectFace(in image: CVPixelBuffer, pureImage: CVPixelBuffer) {
         let faceDetectionRequest = VNDetectFaceLandmarksRequest(completionHandler: { (request: VNRequest, error: Error?) in
             DispatchQueue.main.async {
                 DispatchQueue.main.asyncAfter(deadline: .now() + 1.0) {
@@ -423,7 +439,7 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
                                 self.startTimer()
                                 
                                 DispatchQueue.global().async {
-                                    self.didOutput(pixelBuffer: image, statusFace: statusString)
+                                    self.didOutput(pixelBuffer: image, statusFace: statusString, pureImage: pureImage)
                                 }
                             }
                         } else {
@@ -437,7 +453,7 @@ open class SBKRecordFaceView: UIView, AVCaptureVideoDataOutputSampleBufferDelega
                                 self.lbDescription.text = "Incorrect face, please check!".localized()
                                 
                                 DispatchQueue.global().async {
-                                    self.didOutput(pixelBuffer: image, statusFace: .ERROR)
+                                    self.didOutput(pixelBuffer: image, statusFace: .ERROR, pureImage: pureImage)
                                 }
                             }
                         }

OCR-SDK/Utils/SBValidateInput.swift

@@ -14,9 +14,13 @@ class SBKValidateInput {
     static let shared = SBKValidateInput()
     
     var modelDataHandler: SBKModelDataHandler? = SBKModelDataHandler(modelFileInfo: MobileNet.cardModel)
-    var modelDataFaceHandler: SBKModelDataHandler? = SBKModelDataHandler(modelFileInfo: MobileNet.modelInfo)
+    var modelDataFaceHandler: SBKModelDataHandler? = SBKModelDataHandler(modelFileInfo: MobileNet.faceModel)
     public typealias CompletionHandle = (_ data: Bool) -> Void
-    
+    init(){
+        modelDataHandler?.inputWidth = 280
+        modelDataHandler?.inputHeight = 210
+        modelDataHandler?.subtract = 0
+    }
     func validateCard(imageInput: UIImage) -> Int {
         let ciimage = CIImage(image: imageInput)
         
@@ -56,24 +60,23 @@ class SBKValidateInput {
         let currentTimeMs = Date().timeIntervalSince1970 * 1000
         guard (currentTimeMs - previousInferenceTimeMs) >= delayBetweenInferencesMs else { return .ERROR }
         previousInferenceTimeMs = currentTimeMs
-        
          result = modelDataHandler?.runModel(onFrame: pixelBuffer)
         if result == nil {
             return .ERROR
         }
-        switch self.getResultCard(result: result!) {
+        let max = getResultCard(result: result!)
+        let total = result!.reduce(0, +)
+        switch max {
         case 0:
             return .IMAGE_FAKE
-        case 1:
+        case 1, 3, 17:
             return .IMAGE_FRONT
-        case 2:
+        case 2, 4, 18:
             return .IMAGE_BACK
-        case 3:
+        case 25:
             return .PASSPORT
-        case 4,5,6,7,8,9:
-            return .IMAGE_FAKE
         default:
-            return .ERROR
+            return .IMAGE_FAKE
         }
     }
     
@@ -97,12 +100,17 @@ class SBKValidateInput {
         previousInferenceTimeMs = currentTimeMs
         
         // Pass the pixel buffer to TensorFlow Lite to perform inference.
-        result = modelDataFaceHandler?.runModel(onFrame: pixelBuffer)
-        if result![0] < result![1] {
+         result = modelDataHandler?.runModel(onFrame: pixelBuffer)
+        if result != nil {
+           let max = getResultCard(result: result!)
+        if max == 0 {
             return true
         } else {
             return false
         }
+        } else {
+            return false
+        }
     }
     
     func comvertUIImageToCVPixel(imageInput: UIImage) -> CVPixelBuffer {
@@ -172,19 +180,6 @@ class SBKValidateInput {
         }
     }
     
-    //Xử lý ảnh hiển thị
-//    func cropImage(image: UIImage, rect: CGRect, scale: CGFloat) -> UIImage? {
-//        let imageCap = image
-//
-//        let widthCrop = imageCap.size.width - imageCap.size.width / 10
-//
-//        UIGraphicsBeginImageContextWithOptions(CGSize(width: widthCrop, height: widthCrop * 3 / 4), true, 0.0)
-//        image.draw(at: CGPoint(x: -rect.origin.x / scale, y: -rect.origin.y / scale))
-//        let croppedImage = UIGraphicsGetImageFromCurrentImageContext()
-//        UIGraphicsEndImageContext()
-//        return croppedImage
-//    }
-    
     func cropImage(image: UIImage, rect: CGRect, scale: CGFloat) -> UIImage? {
          let imageCap = image
          
@@ -222,6 +217,7 @@ class SBKValidateInput {
             return croppedImage
         }
     
+    
     func saveImage(imageName: String, image: UIImage) -> String? {
         guard let documentsDirectory = FileManager.default.urls(for: .documentDirectory, in: .userDomainMask).first else { return nil }
         let fileName = imageName
@@ -230,7 +226,6 @@ class SBKValidateInput {
         if FileManager.default.fileExists(atPath: fileURL.path) {
             do {
                 try FileManager.default.removeItem(atPath: fileURL.path)
-                print("Removed old image")
             } catch let removeError {
                 print("couldn't remove file at path", removeError)
             }

Podfile.lock

@@ -21,4 +21,4 @@ SPEC CHECKSUMS:
 
 PODFILE CHECKSUM: 5d1bc9d5125d5fec48a2110d5d6596947a9bac74
 
-COCOAPODS: 1.10.2
+COCOAPODS: 1.11.2

Pods/Manifest.lock

@@ -21,4 +21,4 @@ SPEC CHECKSUMS:
 
 PODFILE CHECKSUM: 5d1bc9d5125d5fec48a2110d5d6596947a9bac74
 
-COCOAPODS: 1.10.2
+COCOAPODS: 1.11.2

Pods/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK.debug.xcconfig

@@ -2,7 +2,8 @@ CLANG_WARN_QUOTED_INCLUDE_IN_FRAMEWORK_HEADER = NO
 FRAMEWORK_SEARCH_PATHS = $(inherited) "${PODS_CONFIGURATION_BUILD_DIR}/TensorFlowLiteSwift" "${PODS_ROOT}/TensorFlowLiteC/Frameworks"
 GCC_PREPROCESSOR_DEFINITIONS = $(inherited) COCOAPODS=1
 HEADER_SEARCH_PATHS = $(inherited) "${PODS_CONFIGURATION_BUILD_DIR}/TensorFlowLiteSwift/TensorFlowLite.framework/Headers"
-LD_RUNPATH_SEARCH_PATHS = $(inherited) '@executable_path/Frameworks' '@loader_path/Frameworks' '@executable_path/../../Frameworks'
+LD_RUNPATH_SEARCH_PATHS = $(inherited) /usr/lib/swift '@executable_path/Frameworks' '@loader_path/Frameworks' '@executable_path/../../Frameworks'
+LIBRARY_SEARCH_PATHS = $(inherited) "${DT_TOOLCHAIN_DIR}/usr/lib/swift/${PLATFORM_NAME}" /usr/lib/swift
 OTHER_LDFLAGS = $(inherited) -ObjC -l"c++" -framework "TensorFlowLite" -framework "TensorFlowLiteC"
 OTHER_SWIFT_FLAGS = $(inherited) -D COCOAPODS
 PODS_BUILD_DIR = ${BUILD_DIR}

Pods/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK.release.xcconfig

@@ -2,7 +2,8 @@ CLANG_WARN_QUOTED_INCLUDE_IN_FRAMEWORK_HEADER = NO
 FRAMEWORK_SEARCH_PATHS = $(inherited) "${PODS_CONFIGURATION_BUILD_DIR}/TensorFlowLiteSwift" "${PODS_ROOT}/TensorFlowLiteC/Frameworks"
 GCC_PREPROCESSOR_DEFINITIONS = $(inherited) COCOAPODS=1
 HEADER_SEARCH_PATHS = $(inherited) "${PODS_CONFIGURATION_BUILD_DIR}/TensorFlowLiteSwift/TensorFlowLite.framework/Headers"
-LD_RUNPATH_SEARCH_PATHS = $(inherited) '@executable_path/Frameworks' '@loader_path/Frameworks' '@executable_path/../../Frameworks'
+LD_RUNPATH_SEARCH_PATHS = $(inherited) /usr/lib/swift '@executable_path/Frameworks' '@loader_path/Frameworks' '@executable_path/../../Frameworks'
+LIBRARY_SEARCH_PATHS = $(inherited) "${DT_TOOLCHAIN_DIR}/usr/lib/swift/${PLATFORM_NAME}" /usr/lib/swift
 OTHER_LDFLAGS = $(inherited) -ObjC -l"c++" -framework "TensorFlowLite" -framework "TensorFlowLiteC"
 OTHER_SWIFT_FLAGS = $(inherited) -D COCOAPODS
 PODS_BUILD_DIR = ${BUILD_DIR}