update build full bitcode

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

-<?xml version="1.0" encoding="UTF-8"?>
-<Bucket
-   uuid = "B08B0591-1A45-4415-9C04-B83659FBFE35"
-   type = "0"
-   version = "2.0">
-</Bucket>

OCR-SDK/ModelDataHandler/SBKModelDataHandler.swift

@@ -36,6 +36,7 @@ typealias FileInfo = (name: String, extension: String)
 enum MobileNet {
   static let modelInfo: FileInfo = (name: "liveness", extension: "tflite")
   static let cardModel: FileInfo = (name: "valid_card_10102020", extension: "tflite")
+  static let landMarkModel: FileInfo = (name: "face_detection_front", extension: "tflite")
 }
 
 /// This class handles all data preprocessing and makes calls to run inference on a given frame
@@ -213,16 +214,7 @@ class SBKModelDataHandler {
     return results
   }
 
-  /// Returns the RGB data representation of the given image buffer with the specified `byteCount`.
-  ///
-  /// - Parameters
-  ///   - buffer: The pixel buffer to convert to RGB data.
-  ///   - byteCount: The expected byte count for the RGB data calculated using the values that the
-  ///       model was trained on: `batchSize * imageWidth * imageHeight * componentsCount`.
-  ///   - isModelQuantized: Whether the model is quantized (i.e. fixed point values rather than
-  ///       floating point values).
-  /// - Returns: The RGB data representation of the image buffer or `nil` if the buffer could not be
-  ///     converted.
+
   private func rgbDataFromBuffer(
     _ buffer: CVPixelBuffer,
     byteCount: Int,
@@ -293,26 +285,12 @@ class SBKModelDataHandler {
 // MARK: - Extensions
 
 extension Data {
-  /// Creates a new buffer by copying the buffer pointer of the given array.
-  ///
-  /// - Warning: The given array's element type `T` must be trivial in that it can be copied bit
-  ///     for bit with no indirection or reference-counting operations; otherwise, reinterpreting
-  ///     data from the resulting buffer has undefined behavior.
-  /// - Parameter array: An array with elements of type `T`.
   init<T>(copyingBufferOf array: [T]) {
     self = array.withUnsafeBufferPointer(Data.init)
   }
 }
 
 extension Array {
-  /// Creates a new array from the bytes of the given unsafe data.
-  ///
-  /// - Warning: The array's `Element` type must be trivial in that it can be copied bit for bit
-  ///     with no indirection or reference-counting operations; otherwise, copying the raw bytes in
-  ///     the `unsafeData`'s buffer to a new array returns an unsafe copy.
-  /// - Note: Returns `nil` if `unsafeData.count` is not a multiple of
-  ///     `MemoryLayout<Element>.stride`.
-  /// - Parameter unsafeData: The data containing the bytes to turn into an array.
   init?(unsafeData: Data) {
     guard unsafeData.count % MemoryLayout<Element>.stride == 0 else { return nil }
     #if swift(>=5.0)
@@ -327,20 +305,3 @@ extension Array {
     #endif  // swift(>=5.0)
   }
 }
-
-extension UIImage {
-    func getPixelColor(pos: CGPoint, dataImage: Data, image: UIImage) -> UIColor {
-
-        let pixelData = image.cgImage!.dataProvider!.data
-        let data: UnsafePointer<UInt8> = CFDataGetBytePtr(pixelData)
-
-        let pixelInfo: Int = ((Int(image.size.width) * Int(pos.y)) + Int(pos.x)) * 4
-
-        let r = CGFloat(dataImage[pixelInfo]) / CGFloat(255.0)
-        let g = CGFloat(dataImage[pixelInfo+1]) / CGFloat(255.0)
-        let b = CGFloat(dataImage[pixelInfo+2]) / CGFloat(255.0)
-        let a = CGFloat(dataImage[pixelInfo+3]) / CGFloat(255.0)
-
-        return UIColor(red: r, green: g, blue: b, alpha: a)
-    }
-}

OCR-SDK/Models/AnchorOption.swift

+//
+//  AnchorOption.swift
+//  OCR-SDK
+//
+//  Created by annguyen on 12/03/2021.
+//  Copyright © 2021 itsol. All rights reserved.
+//
+
+import Foundation
+class AnchorOption {
+    init(inputSizeWidth: Int, inputSizeHeight: Int, minScale: Double, maxScale: Double, anchorOffsetX: Double, anchorOffsetY: Double, numLayers: Int, featureMapWidth: [Int], featureMapHeight: [Int], strides: [Int], aspectRatios: [Double], reduceBoxesInLowestLayer: Bool, interpolatedScaleAspectRatio: Double, fixedAnchorSize: Bool) {
+        self.inputSizeWidth = inputSizeWidth
+        self.inputSizeHeight = inputSizeHeight
+        self.minScale = minScale
+        self.maxScale = maxScale
+        self.anchorOffsetX = anchorOffsetX
+        self.anchorOffsetY = anchorOffsetY
+        self.numLayers = numLayers
+        self.featureMapWidth = featureMapWidth
+        self.featureMapHeight = featureMapHeight
+        self.strides = strides
+        self.aspectRatios = aspectRatios
+        self.reduceBoxesInLowestLayer = reduceBoxesInLowestLayer
+        self.interpolatedScaleAspectRatio = interpolatedScaleAspectRatio
+        self.fixedAnchorSize = fixedAnchorSize
+    }
+    
+    var inputSizeWidth: Int
+    var inputSizeHeight: Int
+    var minScale: Double
+    var maxScale: Double
+    var anchorOffsetX: Double
+    var anchorOffsetY: Double
+    var numLayers: Int
+    var featureMapWidth: [Int]
+    var featureMapHeight: [Int]
+    var strides: [Int]
+    var aspectRatios: [Double]
+    var reduceBoxesInLowestLayer: Bool
+    var interpolatedScaleAspectRatio: Double
+    var fixedAnchorSize: Bool
+    
+    func stridesSize() -> Int {
+        return strides.count
+      }
+
+    func featureMapHeightSize() -> Int {
+        return featureMapHeight.count
+      }
+
+    func featureMapWidthSize() -> Int {
+        return featureMapWidth.count
+      }
+}

OCR-SDK/Models/Detection.swift

+//
+//  Detection.swift
+//  OCR-SDK
+//
+//  Created by annguyen on 12/03/2021.
+//  Copyright © 2021 itsol. All rights reserved.
+//
+
+import Foundation
+struct Detection {
+    init(score: Double, xMin: Double, yMin: Double, width: Double, height: Double, classID: Int, landMark: [Landmark]) {
+        self.score = score
+        self.xMin = xMin
+        self.yMin = yMin
+        self.width = width
+        self.height = height
+        self.classID = classID
+        self.landMark = landMark
+    }
+    var score: Double
+    var xMin: Double
+    var yMin: Double
+    var width: Double
+    var height: Double
+    var classID: Int
+    var landMark: [Landmark]
+}

OCR-SDK/Models/EMSimilarity.swift

+//
+//  EMSimilarity.swift
+//  SwiftSim
+//
+//  Created by Evan Moss on 8/1/16.
+//  Copyright © 2016 Enterprising Technologies LLC. All rights reserved.
+//
+//  The MIT License (MIT)
+//
+//  Copyright (c) 2016 Evan Moss
+//
+//  Permission is hereby granted, free of charge, to any person obtaining a copy
+//  of this software and associated documentation files (the "Software"), to deal
+//  in the Software without restriction, including without limitation the rights
+//  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+//  copies of the Software, and to permit persons to whom the Software is
+//  furnished to do so, subject to the following conditions:
+//
+//  The above copyright notice and this permission notice shall be included in all
+//  copies or substantial portions of the Software.
+//
+//  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+//  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+//  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+//  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+//  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+//  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+//  SOFTWARE.
+
+import Foundation
+
+enum EMSimilarityMode {
+    case Cosine
+    case Tanimoto
+    case Ochiai
+    case JaccardIndex
+    case JaccardDistance
+    case Dice
+    case Hamming
+}
+
+enum EMVectorSizeMismatchMode {
+    case Bail
+    case Truncate
+}
+
+class EMSimilarity {
+    /** Similarity metric mode **/
+    private var currentSimMode = [EMSimilarityMode.Cosine]
+    
+    /** Set the currentSimMode via push **/
+    func pushSimMode(mode: EMSimilarityMode) {
+        self.currentSimMode.append(mode)
+    }
+    
+    /** Pop the currentSimMode via pop if it won't make the stack empty **/
+    func popSimMode() {
+        if self.currentSimMode.count > 1 {
+            let _ = self.currentSimMode.popLast()
+        }
+    }
+    
+    /** Get the currently set similarity mode **/
+    func getCurrentSimMode() -> EMSimilarityMode? {
+        return self.currentSimMode.last
+    }
+    
+    /** Mismatch Mode **/
+    private var currentMismatchMode = [EMVectorSizeMismatchMode.Bail]
+    
+    /** Set the currentMismatcMode via push **/
+    func pushMismatchMode(mode: EMVectorSizeMismatchMode) {
+        self.currentMismatchMode.append(mode)
+    }
+    
+    /** Pop the currentMismatchMode via pop if it won't make the stack empty **/
+    func popMismatchMode() {
+        if self.currentMismatchMode.count > 1 {
+            let _ = self.currentMismatchMode.popLast()
+        }
+    }
+    
+    /** Get the currently set mistmatch mode **/
+    func getCurrentMismatchMode() -> EMVectorSizeMismatchMode? {
+        return self.currentMismatchMode.last
+    }
+    
+    /** Dot Product **/
+    private func dot(A: [Double], B: [Double]) -> Double {
+        var x: Double = 0
+        for i in 0...A.count-1 {
+            x += A[i] * B[i]
+        }
+        return x
+    }
+    
+    /** Vector Magnitude **/
+    private func magnitude(A: [Double]) -> Double {
+        var x: Double = 0
+        for elt in A {
+            x += elt * elt
+        }
+        return sqrt(x)
+    }
+    
+    /** Cosine similarity **/
+    private func cosineSim(A: [Double], B: [Double]) -> Double {
+        return dot(A: A, B: B) / (magnitude(A: A) * magnitude(A: B))
+    }
+    
+    /** Tanimoto similarity **/
+    private func tanimotoSim(A: [Double], B: [Double]) -> Double {
+        let Amag = magnitude(A: A)
+        let Bmag = magnitude(A: B)
+        let AdotB = dot(A: A, B: B)
+        return AdotB / (Amag * Amag + Bmag * Bmag - AdotB)
+    }
+    
+    /** Ochiai similarity **/
+    private func ochiaiSim(A: [Double], B: [Double]) -> Double {
+        let a = Set(A)
+        let b = Set(B)
+        
+        return Double(a.intersection(b).count) / sqrt(Double(a.count) * Double(b.count))
+    }
+    
+    /** Jaccard index **/
+    private func jaccardIndex(A: [Double], B: [Double]) -> Double {
+        let a = Set(A)
+        let b = Set(B)
+        
+        return Double(a.intersection(b).count) / Double(a.union(b).count)
+    }
+    
+    /** Jaccard distance **/
+    private func jaccardDist(A: [Double], B: [Double]) -> Double {
+        return 1.0 - jaccardIndex(A: A, B: B)
+    }
+    
+    /** Dice coeeficient **/
+    private func diceCoef(A: [Double], B: [Double]) -> Double {
+        let a = Set(A)
+        let b = Set(B)
+        
+        return 2.0 * Double(a.intersection(b).count) / (Double(a.count) + Double(b.count))
+    }
+    
+    /** Hamming distance **/
+    private func hammingDist(A: [Double], B: [Double]) -> Double {
+        var x: Double = 0
+        
+        if A.isEmpty {
+            return x
+        }
+        
+        for i in 0...A.count-1 {
+            if A[i] != B[i] {
+                x += 1
+            }
+        }
+        
+        return x
+    }
+    
+    private let encforceEqualVectorSizes: Set<EMSimilarityMode> = [.Cosine, .Tanimoto, .Hamming]
+    private let bailOnEmptyInput: Set<EMSimilarityMode> = [.Cosine, .Tanimoto, .Ochiai]
+    private let allowEmptyInputs: Set<EMSimilarityMode> = [.Hamming]
+    
+    /**
+     * Main compute mode
+     * Double types
+     * Returns the similarity results or -1.0 on caught error
+     */
+    func compute(A: [Double], B: [Double]) -> Double {
+        // get the mode
+        var mode = EMSimilarityMode.Cosine
+        if let _mode = self.getCurrentSimMode() {
+            mode = _mode
+        }
+        else {
+            return -1
+        }
+        
+        // are both vectors empty?
+        if A.isEmpty && B.isEmpty && !allowEmptyInputs.contains(mode) {
+            // divide by zero -> D.N.E.
+            return -1
+        }
+        
+        // is one of the vectors empty and would this case a divide by zero error?
+        if bailOnEmptyInput.contains(mode) && (A.isEmpty || B.isEmpty) {
+            return -1
+        }
+        
+        // look for vector size mismatch for modes in encforceEqualVectorSizes
+        if encforceEqualVectorSizes.contains(mode) && A.count != B.count {
+            if let mismatchMode = self.getCurrentMismatchMode() {
+                switch mismatchMode {
+                case .Bail:
+                    return -1
+                case .Truncate:
+                    let a = A.count < B.count ? A : B
+                    let _b = A.count < B.count ? B : A
+                    var b = [Double]()
+                    if a.count > 0 {
+                        for i in 0...a.count-1 {
+                            b.append(_b[i])
+                        }
+                    }
+                    return compute(A: a, B: b)
+                }
+            }
+            else {
+                return -1
+            }
+        }
+        
+        switch mode {
+        case .Cosine:
+            return cosineSim(A: A, B: B)
+        case .Tanimoto:
+            return tanimotoSim(A: A, B: B)
+        case .Ochiai:
+            return ochiaiSim(A: A, B: B)
+        case .JaccardIndex:
+            return jaccardIndex(A: A, B: B)
+        case .JaccardDistance:
+            return jaccardDist(A: A, B: B)
+        case .Dice:
+            return diceCoef(A: A, B: B)
+        case .Hamming:
+            return hammingDist(A: A, B: B)
+        }
+    }
+}

OCR-SDK/Models/LandMark.swift

+//
+//  LandMark.swift
+//  OCR-SDK
+//
+//  Created by annguyen on 12/03/2021.
+//  Copyright © 2021 itsol. All rights reserved.
+//
+
+import Foundation
+class Landmark{
+    init(x: Double, y: Double) {
+        self.x = x
+        self.y = y
+    }
+    
+    var x: Double
+    var y: Double
+}

OCR-SDK/Models/NormalizeOp.swift

+//
+//  NormalizeOp.swift
+//  movanai
+//
+//  Created by Nguyen Van An on 4/4/21.
+//
+
+import Foundation
+class NormalizeOp {
+    var x: Float = 0
+    var y: Float = 0
+    init(_ x: Float, _ y: Float ) {
+        self.x = x
+        self.y = y
+    }
+}

OCR-SDK/Models/OptionsFace.swift

+//
+//  OptionsFace.swift
+//  OCR-SDK
+//
+//  Created by annguyen on 12/03/2021.
+//  Copyright © 2021 itsol. All rights reserved.
+//
+
+import Foundation
+class OptionsFace {
+    init(numClasses: Int, numBoxes: Int, numCoords: Int, keypointCoordOffset: Int, ignoreClasses: [Int], scoreClippingThresh: Double, minScoreThresh: Double, numKeypoints: Int, numValuesPerKeypoint: Int, boxCoordOffset: Int, xScale: Double, yScale: Double, wScale: Double, hScale: Double, applyExponentialOnBoxSize: Bool, reverseOutputOrder: Bool, sigmoidScore: Bool, flipVertically: Bool) {
+        self.numClasses = numClasses
+        self.numBoxes = numBoxes
+        self.numCoords = numCoords
+        self.keypointCoordOffset = keypointCoordOffset
+        self.ignoreClasses = ignoreClasses
+        self.scoreClippingThresh = scoreClippingThresh
+        self.minScoreThresh = minScoreThresh
+        self.numKeypoints = numKeypoints
+        self.numValuesPerKeypoint = numValuesPerKeypoint
+        self.boxCoordOffset = boxCoordOffset
+        self.xScale = xScale
+        self.yScale = yScale
+        self.wScale = wScale
+        self.hScale = hScale
+        self.applyExponentialOnBoxSize = applyExponentialOnBoxSize
+        self.reverseOutputOrder = reverseOutputOrder
+        self.sigmoidScore = sigmoidScore
+        self.flipVertically = flipVertically
+    }
+    
+  var numClasses: Int
+    var numBoxes: Int
+    var numCoords: Int
+    var keypointCoordOffset : Int
+    var ignoreClasses: [Int]
+    var scoreClippingThresh: Double
+    var minScoreThresh: Double
+    var numKeypoints: Int
+    var numValuesPerKeypoint: Int
+    var boxCoordOffset: Int
+    var xScale: Double
+    var yScale: Double
+    var wScale : Double
+    var hScale: Double
+    var applyExponentialOnBoxSize: Bool
+    var reverseOutputOrder: Bool
+    var sigmoidScore: Bool
+    var flipVertically: Bool
+
+}
+
+class Anchor {
+    init(xCenter: Double, yCenter: Double, h: Double, w: Double) {
+        self.xCenter = xCenter
+        self.yCenter = yCenter
+        self.h = h
+        self.w = w
+    }
+    var xCenter: Double
+    var yCenter: Double
+    var h: Double
+    var w: Double
+}

OCR-SDK/UI/SBKShowDataPhoto/SBKResultCapture.swift

@@ -11,6 +11,7 @@ class SBKResultCapture: UIViewController {
     @IBOutlet weak var imgPhotoCard: UIImageView!
     public var imageData: Data?
     public var dataCrop: Data?
+    var cropZone: CGRect?
     @IBOutlet weak var btnNext: UIButton!
     @IBOutlet weak var btnClose: UIButton!
     @IBOutlet weak var lbDescription: UILabel!
@@ -61,7 +62,9 @@ class SBKResultCapture: UIViewController {
         if UIDevice.current.userInterfaceIdiom == .pad {
             cropImage = SBKValidateInput.shared.cropImageHorizontal(image: imageCap!, rect: CGRect(x: imageCap!.size.width * 1 / 10, y: imageCap!.size.height * 3 / 20, width: imageCap!.size.width * 8 / 10, height: imageCap!.size.height * 8 / 10), scale: 1.0)!.rotate(radians: .pi / 2)
         } else {
-            cropImage = self.cropImage(image: imageCap!, rect: CGRect(x: imageCap!.size.width / 20, y: imageCap!.size.height / 8 + imageCap!.size.height / 50, width: imageCap!.size.width * 18 / 20, height: imageCap!.size.width * 18 / 20 * 3 / 4 ), scale: scale)
+            if self.cropZone != nil {
+                cropImage = imageCap!.crop(rect: self.cropZone!, scale: 1.0)
+            }
         }
         
         dataCrop = cropImage!.pngData()
@@ -72,14 +75,7 @@ class SBKResultCapture: UIViewController {
         fatalError("init(coder:) has not been implemented")
     }
 
-    //Xử lý ảnh hiển thị
-    func cropImage(image: UIImage, rect: CGRect, scale: CGFloat) -> UIImage? {
-        UIGraphicsBeginImageContextWithOptions(CGSize(width: rect.width, height: rect.height), true, 0.0)
-        image.draw(at: CGPoint(x: -rect.origin.x , y: -rect.origin.y ))
-        let croppedImage = UIGraphicsGetImageFromCurrentImageContext()
-        UIGraphicsEndImageContext()
-        return croppedImage
-    }
+   
     
     func navigateToFace() {
         DispatchQueue.main.async {
@@ -153,27 +149,3 @@ class SBKResultCapture: UIViewController {
     }
     
 }
-
-extension UIImage {
-    func rotate(radians: Float) -> UIImage? {
-        var newSize = CGRect(origin: CGPoint.zero, size: self.size).applying(CGAffineTransform(rotationAngle: CGFloat(radians))).size
-        // Trim off the extremely small float value to prevent core graphics from rounding it up
-        newSize.width = floor(newSize.width)
-        newSize.height = floor(newSize.height)
-
-        UIGraphicsBeginImageContextWithOptions(newSize, false, self.scale)
-        let context = UIGraphicsGetCurrentContext()!
-
-        // Move origin to middle
-        context.translateBy(x: newSize.width/2, y: newSize.height/2)
-        // Rotate around middle
-        context.rotate(by: CGFloat(radians))
-        // Draw the image at its center
-        self.draw(in: CGRect(x: -self.size.width/2, y: -self.size.height/2, width: self.size.width, height: self.size.height))
-
-        let newImage = UIGraphicsGetImageFromCurrentImageContext()
-        UIGraphicsEndImageContext()
-
-        return newImage
-    }
-}

OCR-SDK/UI/View/OverLayCardView.swift

+//
+//  OverLayView.swift
+//  OCR-SDK
+//
+//  Created by Nguyen Van An on 4/26/21.
+//  Copyright © 2021 itsol. All rights reserved.
+//
+
+
+import AVFoundation
+import UIKit
+class OverLayCardView: UIView {
+    @IBInspectable var previewWidth: CGFloat = 100
+    @IBInspectable var previewHeight: CGFloat = 100
+    @IBInspectable var borderLength : CGFloat = 10
+    @IBInspectable var borderPadding : CGFloat = 0
+    @IBInspectable var borderWidth : CGFloat = 2
+    @IBInspectable var borderColor : CGColor = UIColor.white.cgColor
+    @IBInspectable var marginTop : CGFloat = 0
+    @IBInspectable var marginLeft : CGFloat = 0
+    @IBInspectable var connerRadius : CGFloat = 8
+    
+    let vContainer: UIView = {
+        let view = UIView()
+        view.backgroundColor =  UIColor.black.withAlphaComponent(0.6)
+        return view
+    }()
+    let vContainer2: UIView = {
+        let view = UIView()
+        return view
+    }()
+    override init(frame: CGRect) {
+        super.init(frame: frame)
+        vContainer.frame = self.bounds
+        self.addSubview(vContainer)
+        vContainer2.frame = self.bounds
+        self.addSubview(vContainer2)
+    }
+    
+    required init?(coder: NSCoder) {
+        fatalError("init(coder:) has not been implemented")
+    }
+    func setLayer(){
+        var x = marginTop
+        var y = marginLeft
+        if marginTop == 0 {
+            x = self.center.x - previewWidth/2
+        }
+        if marginLeft == 0 {
+            y = self.center.y - previewHeight/2
+        }
+        //add to container dask
+        let maskLayer = CALayer()
+        maskLayer.frame = self.bounds
+        let circleLayer = CAShapeLayer()
+        circleLayer.frame = CGRect(x:0 , y:0,width: self.frame.size.width,height: self.frame.size.height)
+        let finalPath = UIBezierPath(roundedRect: CGRect(x:0 , y:0,width: self.frame.size.width,height: self.frame.size.height), cornerRadius: 0)
+        let rectPath = UIBezierPath(roundedRect: CGRect(x: x, y: y,width: previewWidth, height: previewHeight),  cornerRadius: connerRadius)
+        finalPath.append(rectPath.reversing())
+        circleLayer.path = finalPath.cgPath
+        maskLayer.addSublayer(circleLayer)
+        vContainer.layer.mask = maskLayer
+        let clearLayer = CALayer()
+        clearLayer.frame = vContainer2.bounds
+        
+        //draw border radius
+        let path = UIBezierPath(roundedRect: CGRect(x: x + borderPadding, y: y + borderPadding, width: previewWidth - borderPadding*2, height: previewHeight - borderPadding*2),  cornerRadius: connerRadius)
+        let shape = CAShapeLayer()
+        shape.path = path.cgPath
+        shape.strokeColor = borderColor
+        shape.lineWidth = borderWidth
+        shape.fillColor = UIColor.clear.cgColor
+        vContainer2.layer.addSublayer(shape)
+    }
+    
+    func setBorderColor(color: CGColor){
+        if borderColor != color {
+            vContainer2.layer.sublayers = nil
+            borderColor = color
+            var x = marginTop
+            var y = marginLeft
+            if marginTop == 0 {
+                x = self.center.x - previewWidth/2
+            }
+            if marginLeft == 0 {
+                y = self.center.y - previewHeight/2
+            }
+        //draw border radius
+        let path = UIBezierPath(roundedRect: CGRect(x: x + borderPadding, y: y + borderPadding, width: previewWidth - borderPadding*2, height: previewHeight - borderPadding*2),  cornerRadius: connerRadius)
+        let shape = CAShapeLayer()
+        shape.path = path.cgPath
+        shape.strokeColor = borderColor
+        shape.lineWidth = borderWidth
+        shape.fillColor = UIColor.clear.cgColor
+        vContainer2.layer.addSublayer(shape)
+        }
+    }
+    
+}
+

OCR-SDK/Utils/Extension/ExtCGImage.swift

+//
+//  ExtCGImage.swift
+//  OCR-SDK
+//
+//  Created by Nguyen Van An on 4/26/21.
+//  Copyright © 2021 itsol. All rights reserved.
+//
+
+import Foundation
+import UIKit
+import CoreGraphics
+import CoreImage
+import VideoToolbox
+extension CGImage{
+    func toCVPixelBuffer() -> CVPixelBuffer? {
+        let frameSize = CGSize(width: self.width, height: self.height)
+        var pixelBuffer:CVPixelBuffer? = nil
+        let status = CVPixelBufferCreate(kCFAllocatorDefault, Int(frameSize.width), Int(frameSize.height), kCVPixelFormatType_32BGRA , nil, &pixelBuffer)
+        if status != kCVReturnSuccess {
+            return nil
+        }
+        CVPixelBufferLockBaseAddress(pixelBuffer!, CVPixelBufferLockFlags.init(rawValue: 0))
+        let data = CVPixelBufferGetBaseAddress(pixelBuffer!)
+        let rgbColorSpace = CGColorSpaceCreateDeviceRGB()
+        let bitmapInfo = CGBitmapInfo(rawValue: CGBitmapInfo.byteOrder32Little.rawValue | CGImageAlphaInfo.premultipliedFirst.rawValue)
+        let context = CGContext(data: data, width: Int(frameSize.width), height: Int(frameSize.height), bitsPerComponent: 8, bytesPerRow: CVPixelBufferGetBytesPerRow(pixelBuffer!), space: rgbColorSpace, bitmapInfo: bitmapInfo.rawValue)
+        context?.draw(self, in: CGRect(x: 0, y: 0, width: self.width, height: self.height))
+        CVPixelBufferUnlockBaseAddress(pixelBuffer!, CVPixelBufferLockFlags(rawValue: 0))
+        return pixelBuffer
+    }
+    public static func create(pixelBuffer: CVPixelBuffer) -> CGImage? {
+       var cgImage: CGImage?
+       VTCreateCGImageFromCVPixelBuffer(pixelBuffer, options: nil, imageOut: &cgImage)
+       return cgImage
+     }
+}

OCR-SDK/Utils/Extension/ExtCIImage.swift

+//
+//  ExtCIImage.swift
+//  OCR-SDK
+//
+//  Created by Nguyen Van An on 4/26/21.
+//  Copyright © 2021 itsol. All rights reserved.
+//
+
+import Foundation
+import UIKit
+
+extension CIImage{
+    func toUIImage() -> UIImage {
+        let eaglContext = EAGLContext(api: .openGLES2)
+        let context:CIContext = CIContext(eaglContext: eaglContext!)
+        let cgImage:CGImage = context.createCGImage(self, from: self.extent)!
+        let image:UIImage = UIImage.init(cgImage: cgImage)
+        return image
+    }
+}

OCR-SDK/Utils/CVPixelBufferExtension.swift → OCR-SDK/Utils/Extension/ExtCVPixelBuffer.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 UIKit
 import Accelerate
 
 extension CVPixelBuffer {
-
-  /**
-   Returns thumbnail by cropping pixel buffer to biggest square and scaling the cropped image to
-   model dimensions.
-   */
   func centerThumbnail(ofSize size: CGSize ) -> CVPixelBuffer? {
-
     let imageWidth = CVPixelBufferGetWidth(self)
     let imageHeight = CVPixelBufferGetHeight(self)
     let pixelBufferType = CVPixelBufferGetPixelFormatType(self)
-
     assert(pixelBufferType == kCVPixelFormatType_32BGRA)
-
     let inputImageRowBytes = CVPixelBufferGetBytesPerRow(self)
     let imageChannels = 4
-
     let thumbnailSize = min(imageWidth, imageHeight)
     CVPixelBufferLockBaseAddress(self, CVPixelBufferLockFlags(rawValue: 0))
 
@@ -139,5 +115,76 @@ extension CVPixelBuffer {
 
     return pixelBuffer
   }
+    
+    func resized(to size: CGSize ) -> CVPixelBuffer? {
+
+      let imageWidth = CVPixelBufferGetWidth(self)
+      let imageHeight = CVPixelBufferGetHeight(self)
+
+      let pixelBufferType = CVPixelBufferGetPixelFormatType(self)
+
+      assert(pixelBufferType == kCVPixelFormatType_32BGRA ||
+             pixelBufferType == kCVPixelFormatType_32ARGB)
+
+      let inputImageRowBytes = CVPixelBufferGetBytesPerRow(self)
+      let imageChannels = 4
+
+      CVPixelBufferLockBaseAddress(self, CVPixelBufferLockFlags(rawValue: 0))
+
+      // Finds the biggest square in the pixel buffer and advances rows based on it.
+      guard let inputBaseAddress = CVPixelBufferGetBaseAddress(self) else {
+        return nil
+      }
+
+      // Gets vImage Buffer from input image
+      var inputVImageBuffer = vImage_Buffer(data: inputBaseAddress, height: UInt(imageHeight), width: UInt(imageWidth), rowBytes: inputImageRowBytes)
+
+      let scaledImageRowBytes = Int(size.width) * imageChannels
+      guard  let scaledImageBytes = malloc(Int(size.height) * scaledImageRowBytes) else {
+        return nil
+      }
 
+      // Allocates a vImage buffer for scaled image.
+      var scaledVImageBuffer = vImage_Buffer(data: scaledImageBytes, height: UInt(size.height), width: UInt(size.width), rowBytes: scaledImageRowBytes)
+
+      // Performs the scale operation on input image buffer and stores it in scaled image buffer.
+      let scaleError = vImageScale_ARGB8888(&inputVImageBuffer, &scaledVImageBuffer, nil, vImage_Flags(0))
+
+      CVPixelBufferUnlockBaseAddress(self, CVPixelBufferLockFlags(rawValue: 0))
+
+      guard scaleError == kvImageNoError else {
+        return nil
+      }
+
+      let releaseCallBack: CVPixelBufferReleaseBytesCallback = {mutablePointer, pointer in
+
+        if let pointer = pointer {
+          free(UnsafeMutableRawPointer(mutating: pointer))
+        }
+      }
+
+      var scaledPixelBuffer: CVPixelBuffer?
+      // Converts the scaled vImage buffer to CVPixelBuffer
+      let conversionStatus = CVPixelBufferCreateWithBytes(nil, Int(size.width), Int(size.height), pixelBufferType, scaledImageBytes, scaledImageRowBytes, releaseCallBack, nil, nil, &scaledPixelBuffer)
+
+      guard conversionStatus == kCVReturnSuccess else {
+
+        free(scaledImageBytes)
+        return nil
+      }
+
+      return scaledPixelBuffer
+    }
+    
+    func toUIImage() -> UIImage {
+        let ciimage : CIImage = CIImage(cvPixelBuffer: self)
+        let imageView : UIImage = ciimage.toUIImage()
+        return imageView
+    }
+    
+    func crop(rect: CGRect, scale: CGFloat) -> CVPixelBuffer? {
+        let imageCgi = CGImage.create(pixelBuffer: self)!
+        return imageCgi.cropping(to: rect)!.toCVPixelBuffer()
+    }
+   
 }

OCR-SDK/Utils/Extension/ExtUIImage.swift

+//
+//  ExtUIImage.swift
+//  OCR-SDK
+//
+//  Created by Nguyen Van An on 4/26/21.
+//  Copyright © 2021 itsol. All rights reserved.
+//
+
+import Foundation
+import UIKit
+
+extension UIImage {
+    //Xử lý ảnh hiển thị
+    func crop(rect: CGRect, scale: CGFloat) -> UIImage? {
+        UIGraphicsBeginImageContextWithOptions(CGSize(width: rect.width, height: rect.height), true, 0.0)
+        self.draw(at: CGPoint(x: -rect.minX / scale, y: -rect.minY / scale))
+        let croppedImage = UIGraphicsGetImageFromCurrentImageContext()
+        UIGraphicsEndImageContext()
+        return croppedImage
+    }
+    
+    
+    func getPixelColor(pos: CGPoint, dataImage: Data, image: UIImage) -> UIColor {
+        let pixelData = image.cgImage!.dataProvider!.data
+        let data: UnsafePointer<UInt8> = CFDataGetBytePtr(pixelData)
+        let pixelInfo: Int = ((Int(image.size.width) * Int(pos.y)) + Int(pos.x)) * 4
+        let r = CGFloat(dataImage[pixelInfo]) / CGFloat(255.0)
+        let g = CGFloat(dataImage[pixelInfo+1]) / CGFloat(255.0)
+        let b = CGFloat(dataImage[pixelInfo+2]) / CGFloat(255.0)
+        let a = CGFloat(dataImage[pixelInfo+3]) / CGFloat(255.0)
+
+        return UIColor(red: r, green: g, blue: b, alpha: a)
+    }
+    
+    func rotate(radians: Float) -> UIImage? {
+        var newSize = CGRect(origin: CGPoint.zero, size: self.size).applying(CGAffineTransform(rotationAngle: CGFloat(radians))).size
+        newSize.width = floor(newSize.width)
+        newSize.height = floor(newSize.height)
+        UIGraphicsBeginImageContextWithOptions(newSize, false, self.scale)
+        let context = UIGraphicsGetCurrentContext()!
+        context.translateBy(x: newSize.width/2, y: newSize.height/2)
+        context.rotate(by: CGFloat(radians))
+        self.draw(in: CGRect(x: -self.size.width/2, y: -self.size.height/2, width: self.size.width, height: self.size.height))
+        let newImage = UIGraphicsGetImageFromCurrentImageContext()
+        UIGraphicsEndImageContext()
+        return newImage
+    }
+    
+    func resize(targetSize: CGSize) -> UIImage {
+        let size = self.size
+        let widthRatio  = targetSize.width  / self.size.width
+        let heightRatio = targetSize.height / self.size.height
+        var newSize: CGSize
+        if(widthRatio > heightRatio) {
+            newSize = CGSize(width: size.width * heightRatio, height: size.height * heightRatio)
+        } else {
+            newSize = CGSize(width: size.width * widthRatio,  height: size.height * widthRatio)
+        }
+        let rect = CGRect(x: 0, y: 0, width: newSize.width, height: newSize.height)
+        UIGraphicsBeginImageContextWithOptions(newSize, false, 1.0)
+        self.draw(in: rect)
+        let newImage = UIGraphicsGetImageFromCurrentImageContext()
+        UIGraphicsEndImageContext()
+        return newImage!
+    }
+    
+    func toCVPixel() -> CVPixelBuffer {
+        let ciimage = CIImage(image: self)
+        let eaglContext = EAGLContext(api: .openGLES2)
+        let tmpcontext = CIContext(eaglContext: eaglContext!)
+        let cgimage = tmpcontext.createCGImage(ciimage!, from: ciimage!.extent)
+        return cgimage!.toCVPixelBuffer()!
+    }
+    
+}

OCR-SDK/Utils/ExtUiViewController.swift → OCR-SDK/Utils/Extension/ExtUiViewController.swift

@@ -37,4 +37,24 @@ extension UIViewController {
     func validateImage(image: Data) -> Bool {
         return true
     }
+    
+    func popupBackToCaptureCardFront() {
+        let alert = UIAlertController(title: "Confirm".localized(), message: "You will go back to front card photography.".localized(), preferredStyle: .alert)
+        
+        let actionClose = UIAlertAction(title: "No".localized(), style: .cancel, handler: nil)
+        alert.addAction(actionClose)
+        
+        let actionOk = UIAlertAction(title: "Yes".localized(), style: .default, handler: {
+            action in
+            for controller in self.navigationController!.viewControllers as Array {
+                if controller.isKind(of: SBKCaptureCardVC.self) {
+                    self.navigationController!.popToViewController(controller, animated: true)
+                    break
+                }
+            }
+        })
+        alert.addAction(actionOk)
+        
+        present(alert, animated: true, completion: nil)
+    }
 }

Podfile

@@ -6,13 +6,45 @@ target 'OCR-SDK' do
   use_frameworks!
 
   # Pods for OCR-SDK
-  pod 'TensorFlowLiteSwift'
+  pod 'TensorFlowLiteSwift', '~>2.2.0'
   #pod 'GoogleMobileVision/FaceDetector'
   #pod 'GTMSessionFetcher'
 end
 
+#post_install do |installer|
+#  installer.pods_project.build_configurations.each do |config|
+#    config.build_settings["EXCLUDED_ARCHS[sdk=iphonesimulator*]"] = "arm64"
+#    config.build_settings["BITCODE_GENERATION_MODE"] = "bitcode"
+#  end
+#end
+#bitcode enable
 post_install do |installer|
-  installer.pods_project.build_configurations.each do |config|
-    config.build_settings["EXCLUDED_ARCHS[sdk=iphonesimulator*]"] = "arm64"
+  installer.pods_project.targets.each do |target|
+    target.build_configurations.each do |config|
+
+      # set valid architecture
+      config.build_settings['VALID_ARCHS'] = 'arm64 armv7 armv7s i386 x86_64'
+
+      # build active architecture only (Debug build all)
+      config.build_settings['ONLY_ACTIVE_ARCH'] = 'NO'
+
+      config.build_settings['ENABLE_BITCODE'] = 'YES'
+
+      if config.name == 'Release' || config.name == 'Pro'
+          config.build_settings['BITCODE_GENERATION_MODE'] = 'bitcode'
+      else # Debug
+          config.build_settings['BITCODE_GENERATION_MODE'] = 'marker'
+      end
+
+      cflags = config.build_settings['OTHER_CFLAGS'] || ['$(inherited)']
+
+      if config.name == 'Release' || config.name == 'Pro'
+          cflags << '-fembed-bitcode'
+      else # Debug
+          cflags << '-fembed-bitcode-marker'
+      end
+
+      config.build_settings['OTHER_CFLAGS'] = cflags
+    end
   end
 end

Podfile.lock

@@ -4,7 +4,7 @@ PODS:
     - TensorFlowLiteC (= 2.2.0)
 
 DEPENDENCIES:
-  - TensorFlowLiteSwift
+  - TensorFlowLiteSwift (~> 2.2.0)
 
 SPEC REPOS:
   trunk:
@@ -15,6 +15,6 @@ SPEC CHECKSUMS:
   TensorFlowLiteC: b3ab9e867b0b71052ca102a32a786555b330b02e
   TensorFlowLiteSwift: 2dd5e9c895e1819501f0fba3d8b69a536bda6c65
 
-PODFILE CHECKSUM: a8990648dc4761bcfc73655f0e8e51e3109f0e4f
+PODFILE CHECKSUM: 61617ddc17c979c1fe27a952bf716e6bd14ac52c
 
 COCOAPODS: 1.10.1

Pods/Manifest.lock

@@ -4,7 +4,7 @@ PODS:
     - TensorFlowLiteC (= 2.2.0)
 
 DEPENDENCIES:
-  - TensorFlowLiteSwift
+  - TensorFlowLiteSwift (~> 2.2.0)
 
 SPEC REPOS:
   trunk:
@@ -15,6 +15,6 @@ SPEC CHECKSUMS:
   TensorFlowLiteC: b3ab9e867b0b71052ca102a32a786555b330b02e
   TensorFlowLiteSwift: 2dd5e9c895e1819501f0fba3d8b69a536bda6c65
 
-PODFILE CHECKSUM: a8990648dc4761bcfc73655f0e8e51e3109f0e4f
+PODFILE CHECKSUM: 61617ddc17c979c1fe27a952bf716e6bd14ac52c
 
 COCOAPODS: 1.10.1

Pods/Pods.xcodeproj/project.pbxproj

@@ -402,6 +402,7 @@
 			baseConfigurationReference = AED476478C959569CFCC3DF9E47408C5 /* Pods-OCR-SDK.debug.xcconfig */;
 			buildSettings = {
 				ALWAYS_EMBED_SWIFT_STANDARD_LIBRARIES = NO;
+				BITCODE_GENERATION_MODE = marker;
 				CLANG_ENABLE_OBJC_WEAK = NO;
 				"CODE_SIGN_IDENTITY[sdk=appletvos*]" = "";
 				"CODE_SIGN_IDENTITY[sdk=iphoneos*]" = "";
@@ -411,6 +412,7 @@
 				DYLIB_COMPATIBILITY_VERSION = 1;
 				DYLIB_CURRENT_VERSION = 1;
 				DYLIB_INSTALL_NAME_BASE = "@rpath";
+				ENABLE_BITCODE = YES;
 				INFOPLIST_FILE = "Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-Info.plist";
 				INSTALL_PATH = "$(LOCAL_LIBRARY_DIR)/Frameworks";
 				IPHONEOS_DEPLOYMENT_TARGET = 11.0;
@@ -421,6 +423,11 @@
 				);
 				MACH_O_TYPE = staticlib;
 				MODULEMAP_FILE = "Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK.modulemap";
+				ONLY_ACTIVE_ARCH = NO;
+				OTHER_CFLAGS = (
+					"$(inherited)",
+					"-fembed-bitcode-marker",
+				);
 				OTHER_LDFLAGS = "";
 				OTHER_LIBTOOLFLAGS = "";
 				PODS_ROOT = "$(SRCROOT)";
@@ -429,6 +436,7 @@
 				SDKROOT = iphoneos;
 				SKIP_INSTALL = YES;
 				TARGETED_DEVICE_FAMILY = "1,2";
+				VALID_ARCHS = "arm64 armv7 armv7s i386 x86_64";
 				VERSIONING_SYSTEM = "apple-generic";
 				VERSION_INFO_PREFIX = "";
 			};
@@ -440,14 +448,22 @@
 			buildSettings = {
 				ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
 				ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
+				BITCODE_GENERATION_MODE = bitcode;
+				ENABLE_BITCODE = YES;
 				IPHONEOS_DEPLOYMENT_TARGET = 9.0;
 				LD_RUNPATH_SEARCH_PATHS = (
 					"$(inherited)",
 					"@executable_path/Frameworks",
 				);
+				ONLY_ACTIVE_ARCH = NO;
+				OTHER_CFLAGS = (
+					"$(inherited)",
+					"-fembed-bitcode",
+				);
 				SDKROOT = iphoneos;
 				TARGETED_DEVICE_FAMILY = "1,2";
 				VALIDATE_PRODUCT = YES;
+				VALID_ARCHS = "arm64 armv7 armv7s i386 x86_64";
 			};
 			name = Release;
 		};
@@ -489,7 +505,6 @@
 				DEBUG_INFORMATION_FORMAT = "dwarf-with-dsym";
 				ENABLE_NS_ASSERTIONS = NO;
 				ENABLE_STRICT_OBJC_MSGSEND = YES;
-				"EXCLUDED_ARCHS[sdk=iphonesimulator*]" = arm64;
 				GCC_C_LANGUAGE_STANDARD = gnu11;
 				GCC_NO_COMMON_BLOCKS = YES;
 				GCC_PREPROCESSOR_DEFINITIONS = (
@@ -552,7 +567,6 @@
 				DEBUG_INFORMATION_FORMAT = dwarf;
 				ENABLE_STRICT_OBJC_MSGSEND = YES;
 				ENABLE_TESTABILITY = YES;
-				"EXCLUDED_ARCHS[sdk=iphonesimulator*]" = arm64;
 				GCC_C_LANGUAGE_STANDARD = gnu11;
 				GCC_DYNAMIC_NO_PIC = NO;
 				GCC_NO_COMMON_BLOCKS = YES;
@@ -587,13 +601,21 @@
 			buildSettings = {
 				ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
 				ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
+				BITCODE_GENERATION_MODE = marker;
+				ENABLE_BITCODE = YES;
 				IPHONEOS_DEPLOYMENT_TARGET = 9.0;
 				LD_RUNPATH_SEARCH_PATHS = (
 					"$(inherited)",
 					"@executable_path/Frameworks",
 				);
+				ONLY_ACTIVE_ARCH = NO;
+				OTHER_CFLAGS = (
+					"$(inherited)",
+					"-fembed-bitcode-marker",
+				);
 				SDKROOT = iphoneos;
 				TARGETED_DEVICE_FAMILY = "1,2";
+				VALID_ARCHS = "arm64 armv7 armv7s i386 x86_64";
 			};
 			name = Debug;
 		};
@@ -601,6 +623,7 @@
 			isa = XCBuildConfiguration;
 			baseConfigurationReference = 4DEF9604B3A10391246BB01C3B360192 /* TensorFlowLiteSwift.release.xcconfig */;
 			buildSettings = {
+				BITCODE_GENERATION_MODE = bitcode;
 				"CODE_SIGN_IDENTITY[sdk=appletvos*]" = "";
 				"CODE_SIGN_IDENTITY[sdk=iphoneos*]" = "";
 				"CODE_SIGN_IDENTITY[sdk=watchos*]" = "";
@@ -609,6 +632,7 @@
 				DYLIB_COMPATIBILITY_VERSION = 1;
 				DYLIB_CURRENT_VERSION = 1;
 				DYLIB_INSTALL_NAME_BASE = "@rpath";
+				ENABLE_BITCODE = YES;
 				GCC_PREFIX_HEADER = "Target Support Files/TensorFlowLiteSwift/TensorFlowLiteSwift-prefix.pch";
 				INFOPLIST_FILE = "Target Support Files/TensorFlowLiteSwift/TensorFlowLiteSwift-Info.plist";
 				INSTALL_PATH = "$(LOCAL_LIBRARY_DIR)/Frameworks";
@@ -620,6 +644,11 @@
 				);
 				MACH_O_TYPE = staticlib;
 				MODULEMAP_FILE = "Target Support Files/TensorFlowLiteSwift/TensorFlowLiteSwift.modulemap";
+				ONLY_ACTIVE_ARCH = NO;
+				OTHER_CFLAGS = (
+					"$(inherited)",
+					"-fembed-bitcode",
+				);
 				PRODUCT_MODULE_NAME = TensorFlowLite;
 				PRODUCT_NAME = TensorFlowLite;
 				SDKROOT = iphoneos;
@@ -628,6 +657,7 @@
 				SWIFT_VERSION = 5.0;
 				TARGETED_DEVICE_FAMILY = "1,2";
 				VALIDATE_PRODUCT = YES;
+				VALID_ARCHS = "arm64 armv7 armv7s i386 x86_64";
 				VERSIONING_SYSTEM = "apple-generic";
 				VERSION_INFO_PREFIX = "";
 			};
@@ -637,6 +667,7 @@
 			isa = XCBuildConfiguration;
 			baseConfigurationReference = CF82B8C58A0FD821537E3660EAB99FAB /* TensorFlowLiteSwift.debug.xcconfig */;
 			buildSettings = {
+				BITCODE_GENERATION_MODE = marker;
 				"CODE_SIGN_IDENTITY[sdk=appletvos*]" = "";
 				"CODE_SIGN_IDENTITY[sdk=iphoneos*]" = "";
 				"CODE_SIGN_IDENTITY[sdk=watchos*]" = "";
@@ -645,6 +676,7 @@
 				DYLIB_COMPATIBILITY_VERSION = 1;
 				DYLIB_CURRENT_VERSION = 1;
 				DYLIB_INSTALL_NAME_BASE = "@rpath";
+				ENABLE_BITCODE = YES;
 				GCC_PREFIX_HEADER = "Target Support Files/TensorFlowLiteSwift/TensorFlowLiteSwift-prefix.pch";
 				INFOPLIST_FILE = "Target Support Files/TensorFlowLiteSwift/TensorFlowLiteSwift-Info.plist";
 				INSTALL_PATH = "$(LOCAL_LIBRARY_DIR)/Frameworks";
@@ -656,6 +688,11 @@
 				);
 				MACH_O_TYPE = staticlib;
 				MODULEMAP_FILE = "Target Support Files/TensorFlowLiteSwift/TensorFlowLiteSwift.modulemap";
+				ONLY_ACTIVE_ARCH = NO;
+				OTHER_CFLAGS = (
+					"$(inherited)",
+					"-fembed-bitcode-marker",
+				);
 				PRODUCT_MODULE_NAME = TensorFlowLite;
 				PRODUCT_NAME = TensorFlowLite;
 				SDKROOT = iphoneos;
@@ -663,6 +700,7 @@
 				SWIFT_ACTIVE_COMPILATION_CONDITIONS = "$(inherited) ";
 				SWIFT_VERSION = 5.0;
 				TARGETED_DEVICE_FAMILY = "1,2";
+				VALID_ARCHS = "arm64 armv7 armv7s i386 x86_64";
 				VERSIONING_SYSTEM = "apple-generic";
 				VERSION_INFO_PREFIX = "";
 			};
@@ -673,6 +711,7 @@
 			baseConfigurationReference = E6111D41D5230B9B2A5C44624B29EA42 /* Pods-OCR-SDK.release.xcconfig */;
 			buildSettings = {
 				ALWAYS_EMBED_SWIFT_STANDARD_LIBRARIES = NO;
+				BITCODE_GENERATION_MODE = bitcode;
 				CLANG_ENABLE_OBJC_WEAK = NO;
 				"CODE_SIGN_IDENTITY[sdk=appletvos*]" = "";
 				"CODE_SIGN_IDENTITY[sdk=iphoneos*]" = "";
@@ -682,6 +721,7 @@
 				DYLIB_COMPATIBILITY_VERSION = 1;
 				DYLIB_CURRENT_VERSION = 1;
 				DYLIB_INSTALL_NAME_BASE = "@rpath";
+				ENABLE_BITCODE = YES;
 				INFOPLIST_FILE = "Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-Info.plist";
 				INSTALL_PATH = "$(LOCAL_LIBRARY_DIR)/Frameworks";
 				IPHONEOS_DEPLOYMENT_TARGET = 11.0;
@@ -692,6 +732,11 @@
 				);
 				MACH_O_TYPE = staticlib;
 				MODULEMAP_FILE = "Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK.modulemap";
+				ONLY_ACTIVE_ARCH = NO;
+				OTHER_CFLAGS = (
+					"$(inherited)",
+					"-fembed-bitcode",
+				);
 				OTHER_LDFLAGS = "";
 				OTHER_LIBTOOLFLAGS = "";
 				PODS_ROOT = "$(SRCROOT)";
@@ -701,6 +746,7 @@
 				SKIP_INSTALL = YES;
 				TARGETED_DEVICE_FAMILY = "1,2";
 				VALIDATE_PRODUCT = YES;
+				VALID_ARCHS = "arm64 armv7 armv7s i386 x86_64";
 				VERSIONING_SYSTEM = "apple-generic";
 				VERSION_INFO_PREFIX = "";
 			};

Pods/Pods.xcodeproj/xcuserdata/itsol.xcuserdatad/xcschemes/xcschememanagement.plist

-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-	<key>SchemeUserState</key>
-	<dict>
-		<key>Pods-OCR-SDK.xcscheme</key>
-		<dict>
-			<key>isShown</key>
-			<false/>
-		</dict>
-		<key>TensorFlowLiteC.xcscheme</key>
-		<dict>
-			<key>isShown</key>
-			<false/>
-		</dict>
-		<key>TensorFlowLiteSwift.xcscheme</key>
-		<dict>
-			<key>isShown</key>
-			<false/>
-		</dict>
-	</dict>
-	<key>SuppressBuildableAutocreation</key>
-	<dict/>
-</dict>
-</plist>

Pods/Pods.xcodeproj/xcuserdata/nguyenanh.xcuserdatad/xcschemes/xcschememanagement.plist

-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-	<key>SchemeUserState</key>
-	<dict>
-		<key>Pods-OCR-SDK.xcscheme_^#shared#^_</key>
-		<dict>
-			<key>orderHint</key>
-			<integer>3</integer>
-		</dict>
-		<key>TensorFlowLiteC.xcscheme_^#shared#^_</key>
-		<dict>
-			<key>orderHint</key>
-			<integer>1</integer>
-		</dict>
-		<key>TensorFlowLiteSwift.xcscheme_^#shared#^_</key>
-		<dict>
-			<key>orderHint</key>
-			<integer>2</integer>
-		</dict>
-	</dict>
-</dict>
-</plist>

Pods/Pods.xcodeproj/xcuserdata/nguyenvanan.xcuserdatad/xcschemes/xcschememanagement.plist

@@ -4,21 +4,23 @@
 <dict>
 	<key>SchemeUserState</key>
 	<dict>
-		<key>Pods-OCR-SDK.xcscheme_^#shared#^_</key>
+		<key>Pods-OCR-SDK.xcscheme</key>
 		<dict>
-			<key>orderHint</key>
-			<integer>2</integer>
+			<key>isShown</key>
+			<false/>
 		</dict>
-		<key>TensorFlowLiteC.xcscheme_^#shared#^_</key>
+		<key>TensorFlowLiteC.xcscheme</key>
 		<dict>
-			<key>orderHint</key>
-			<integer>1</integer>
+			<key>isShown</key>
+			<false/>
 		</dict>
-		<key>TensorFlowLiteSwift.xcscheme_^#shared#^_</key>
+		<key>TensorFlowLiteSwift.xcscheme</key>
 		<dict>
-			<key>orderHint</key>
-			<integer>3</integer>
+			<key>isShown</key>
+			<false/>
 		</dict>
 	</dict>
+	<key>SuppressBuildableAutocreation</key>
+	<dict/>
 </dict>
 </plist>

Pods/Pods.xcodeproj/xcuserdata/vu.xcuserdatad/xcschemes/Pods-OCR-SDK.xcscheme

-<?xml version="1.0" encoding="UTF-8"?>
-<Scheme
-   LastUpgradeVersion = "1100"
-   version = "1.3">
-   <BuildAction
-      parallelizeBuildables = "YES"
-      buildImplicitDependencies = "YES">
-      <BuildActionEntries>
-         <BuildActionEntry
-            buildForTesting = "YES"
-            buildForRunning = "YES"
-            buildForProfiling = "YES"
-            buildForArchiving = "YES"
-            buildForAnalyzing = "YES">
-            <BuildableReference
-               BuildableIdentifier = "primary"
-               BlueprintIdentifier = "DE1F4D51AD94C30627575AEE202FD099"
-               BuildableName = "Pods_OCR_SDK.framework"
-               BlueprintName = "Pods-OCR-SDK"
-               ReferencedContainer = "container:Pods.xcodeproj">
-            </BuildableReference>
-         </BuildActionEntry>
-      </BuildActionEntries>
-   </BuildAction>
-   <TestAction
-      buildConfiguration = "Debug"
-      selectedDebuggerIdentifier = "Xcode.DebuggerFoundation.Debugger.LLDB"
-      selectedLauncherIdentifier = "Xcode.DebuggerFoundation.Launcher.LLDB"
-      shouldUseLaunchSchemeArgsEnv = "YES">
-      <Testables>
-      </Testables>
-   </TestAction>
-   <LaunchAction
-      buildConfiguration = "Debug"
-      selectedDebuggerIdentifier = "Xcode.DebuggerFoundation.Debugger.LLDB"
-      selectedLauncherIdentifier = "Xcode.DebuggerFoundation.Launcher.LLDB"
-      launchStyle = "0"
-      useCustomWorkingDirectory = "NO"
-      ignoresPersistentStateOnLaunch = "NO"
-      debugDocumentVersioning = "YES"
-      debugServiceExtension = "internal"
-      allowLocationSimulation = "YES">
-   </LaunchAction>
-   <ProfileAction
-      buildConfiguration = "Release"
-      shouldUseLaunchSchemeArgsEnv = "YES"
-      savedToolIdentifier = ""
-      useCustomWorkingDirectory = "NO"
-      debugDocumentVersioning = "YES">
-   </ProfileAction>
-   <AnalyzeAction
-      buildConfiguration = "Debug">
-   </AnalyzeAction>
-   <ArchiveAction
-      buildConfiguration = "Release"
-      revealArchiveInOrganizer = "YES">
-   </ArchiveAction>
-</Scheme>

Pods/Pods.xcodeproj/xcuserdata/vu.xcuserdatad/xcschemes/TensorFlowLiteC.xcscheme

-<?xml version="1.0" encoding="UTF-8"?>
-<Scheme
-   LastUpgradeVersion = "1100"
-   version = "1.3">
-   <BuildAction
-      parallelizeBuildables = "YES"
-      buildImplicitDependencies = "YES">
-      <BuildActionEntries>
-         <BuildActionEntry
-            buildForAnalyzing = "YES"
-            buildForTesting = "YES"
-            buildForRunning = "YES"
-            buildForProfiling = "YES"
-            buildForArchiving = "YES">
-            <BuildableReference
-               BuildableIdentifier = "primary"
-               BlueprintIdentifier = "AC559E53E13B6FBEF4F5CC310A73AFE6"
-               BuildableName = "TensorFlowLiteC"
-               BlueprintName = "TensorFlowLiteC"
-               ReferencedContainer = "container:Pods.xcodeproj">
-            </BuildableReference>
-         </BuildActionEntry>
-      </BuildActionEntries>
-   </BuildAction>
-   <TestAction
-      selectedDebuggerIdentifier = "Xcode.DebuggerFoundation.Debugger.LLDB"
-      selectedLauncherIdentifier = "Xcode.DebuggerFoundation.Launcher.LLDB"
-      shouldUseLaunchSchemeArgsEnv = "YES"
-      buildConfiguration = "Debug">
-      <AdditionalOptions>
-      </AdditionalOptions>
-   </TestAction>
-   <LaunchAction
-      selectedDebuggerIdentifier = "Xcode.DebuggerFoundation.Debugger.LLDB"
-      selectedLauncherIdentifier = "Xcode.DebuggerFoundation.Launcher.LLDB"
-      launchStyle = "0"
-      useCustomWorkingDirectory = "NO"
-      ignoresPersistentStateOnLaunch = "NO"
-      debugDocumentVersioning = "YES"
-      debugServiceExtension = "internal"
-      buildConfiguration = "Debug"
-      allowLocationSimulation = "YES">
-      <AdditionalOptions>
-      </AdditionalOptions>
-   </LaunchAction>
-   <ProfileAction
-      savedToolIdentifier = ""
-      useCustomWorkingDirectory = "NO"
-      debugDocumentVersioning = "YES"
-      buildConfiguration = "Release"
-      shouldUseLaunchSchemeArgsEnv = "YES">
-   </ProfileAction>
-   <AnalyzeAction
-      buildConfiguration = "Debug">
-   </AnalyzeAction>
-   <ArchiveAction
-      buildConfiguration = "Release"
-      revealArchiveInOrganizer = "YES">
-   </ArchiveAction>
-</Scheme>

Pods/Pods.xcodeproj/xcuserdata/vu.xcuserdatad/xcschemes/TensorFlowLiteSwift.xcscheme

-<?xml version="1.0" encoding="UTF-8"?>
-<Scheme
-   LastUpgradeVersion = "1100"
-   version = "1.3">
-   <BuildAction
-      parallelizeBuildables = "YES"
-      buildImplicitDependencies = "YES">
-      <BuildActionEntries>
-         <BuildActionEntry
-            buildForTesting = "YES"
-            buildForRunning = "YES"
-            buildForProfiling = "YES"
-            buildForArchiving = "YES"
-            buildForAnalyzing = "YES">
-            <BuildableReference
-               BuildableIdentifier = "primary"
-               BlueprintIdentifier = "10418167F619D6DA72BADAD10F9EC02B"
-               BuildableName = "TensorFlowLite.framework"
-               BlueprintName = "TensorFlowLiteSwift"
-               ReferencedContainer = "container:Pods.xcodeproj">
-            </BuildableReference>
-         </BuildActionEntry>
-      </BuildActionEntries>
-   </BuildAction>
-   <TestAction
-      buildConfiguration = "Debug"
-      selectedDebuggerIdentifier = "Xcode.DebuggerFoundation.Debugger.LLDB"
-      selectedLauncherIdentifier = "Xcode.DebuggerFoundation.Launcher.LLDB"
-      shouldUseLaunchSchemeArgsEnv = "YES">
-      <Testables>
-      </Testables>
-   </TestAction>
-   <LaunchAction
-      buildConfiguration = "Debug"
-      selectedDebuggerIdentifier = "Xcode.DebuggerFoundation.Debugger.LLDB"
-      selectedLauncherIdentifier = "Xcode.DebuggerFoundation.Launcher.LLDB"
-      launchStyle = "0"
-      useCustomWorkingDirectory = "NO"
-      ignoresPersistentStateOnLaunch = "NO"
-      debugDocumentVersioning = "YES"
-      debugServiceExtension = "internal"
-      allowLocationSimulation = "YES">
-   </LaunchAction>
-   <ProfileAction
-      buildConfiguration = "Release"
-      shouldUseLaunchSchemeArgsEnv = "YES"
-      savedToolIdentifier = ""
-      useCustomWorkingDirectory = "NO"
-      debugDocumentVersioning = "YES">
-   </ProfileAction>
-   <AnalyzeAction
-      buildConfiguration = "Debug">
-   </AnalyzeAction>
-   <ArchiveAction
-      buildConfiguration = "Release"
-      revealArchiveInOrganizer = "YES">
-   </ArchiveAction>
-</Scheme>

Pods/Pods.xcodeproj/xcuserdata/vu.xcuserdatad/xcschemes/xcschememanagement.plist

-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-	<key>SchemeUserState</key>
-	<dict>
-		<key>Pods-OCR-SDK.xcscheme</key>
-		<dict>
-			<key>isShown</key>
-			<false/>
-		</dict>
-		<key>TensorFlowLiteC.xcscheme</key>
-		<dict>
-			<key>isShown</key>
-			<false/>
-		</dict>
-		<key>TensorFlowLiteSwift.xcscheme</key>
-		<dict>
-			<key>isShown</key>
-			<false/>
-		</dict>
-	</dict>
-	<key>SuppressBuildableAutocreation</key>
-	<dict/>
-</dict>
-</plist>

Pods/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-resources-Debug-input-files.xcfilelist

-${PODS_ROOT}/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-resources.sh
-${PODS_CONFIGURATION_BUILD_DIR}/GoogleMobileVision/GoogleMVFaceDetectorResources.bundle
\ No newline at end of file

Pods/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-resources-Debug-output-files.xcfilelist

-${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/GoogleMVFaceDetectorResources.bundle
\ No newline at end of file

Pods/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-resources-Release-input-files.xcfilelist

-${PODS_ROOT}/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-resources.sh
-${PODS_CONFIGURATION_BUILD_DIR}/GoogleMobileVision/GoogleMVFaceDetectorResources.bundle
\ No newline at end of file

Pods/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-resources-Release-output-files.xcfilelist

-${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/GoogleMVFaceDetectorResources.bundle
\ No newline at end of file

Pods/Target Support Files/Pods-OCR-SDK/Pods-OCR-SDK-resources.sh

-#!/bin/sh
-set -e
-set -u
-set -o pipefail
-
-function on_error {
-  echo "$(realpath -mq "${0}"):$1: error: Unexpected failure"
-}
-trap 'on_error $LINENO' ERR
-
-if [ -z ${UNLOCALIZED_RESOURCES_FOLDER_PATH+x} ]; then
-  # If UNLOCALIZED_RESOURCES_FOLDER_PATH is not set, then there's nowhere for us to copy
-  # resources to, so exit 0 (signalling the script phase was successful).
-  exit 0
-fi
-
-mkdir -p "${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}"
-
-RESOURCES_TO_COPY=${PODS_ROOT}/resources-to-copy-${TARGETNAME}.txt
-> "$RESOURCES_TO_COPY"
-
-XCASSET_FILES=()
-
-# This protects against multiple targets copying the same framework dependency at the same time. The solution
-# was originally proposed here: https://lists.samba.org/archive/rsync/2008-February/020158.html
-RSYNC_PROTECT_TMP_FILES=(--filter "P .*.??????")
-
-case "${TARGETED_DEVICE_FAMILY:-}" in
-  1,2)
-    TARGET_DEVICE_ARGS="--target-device ipad --target-device iphone"
-    ;;
-  1)
-    TARGET_DEVICE_ARGS="--target-device iphone"
-    ;;
-  2)
-    TARGET_DEVICE_ARGS="--target-device ipad"
-    ;;
-  3)
-    TARGET_DEVICE_ARGS="--target-device tv"
-    ;;
-  4)
-    TARGET_DEVICE_ARGS="--target-device watch"
-    ;;
-  *)
-    TARGET_DEVICE_ARGS="--target-device mac"
-    ;;
-esac
-
-install_resource()
-{
-  if [[ "$1" = /* ]] ; then
-    RESOURCE_PATH="$1"
-  else
-    RESOURCE_PATH="${PODS_ROOT}/$1"
-  fi
-  if [[ ! -e "$RESOURCE_PATH" ]] ; then
-    cat << EOM
-error: Resource "$RESOURCE_PATH" not found. Run 'pod install' to update the copy resources script.
-EOM
-    exit 1
-  fi
-  case $RESOURCE_PATH in
-    *.storyboard)
-      echo "ibtool --reference-external-strings-file --errors --warnings --notices --minimum-deployment-target ${!DEPLOYMENT_TARGET_SETTING_NAME} --output-format human-readable-text --compile ${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename \"$RESOURCE_PATH\" .storyboard`.storyboardc $RESOURCE_PATH --sdk ${SDKROOT} ${TARGET_DEVICE_ARGS}" || true
-      ibtool --reference-external-strings-file --errors --warnings --notices --minimum-deployment-target ${!DEPLOYMENT_TARGET_SETTING_NAME} --output-format human-readable-text --compile "${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename \"$RESOURCE_PATH\" .storyboard`.storyboardc" "$RESOURCE_PATH" --sdk "${SDKROOT}" ${TARGET_DEVICE_ARGS}
-      ;;
-    *.xib)
-      echo "ibtool --reference-external-strings-file --errors --warnings --notices --minimum-deployment-target ${!DEPLOYMENT_TARGET_SETTING_NAME} --output-format human-readable-text --compile ${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename \"$RESOURCE_PATH\" .xib`.nib $RESOURCE_PATH --sdk ${SDKROOT} ${TARGET_DEVICE_ARGS}" || true
-      ibtool --reference-external-strings-file --errors --warnings --notices --minimum-deployment-target ${!DEPLOYMENT_TARGET_SETTING_NAME} --output-format human-readable-text --compile "${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename \"$RESOURCE_PATH\" .xib`.nib" "$RESOURCE_PATH" --sdk "${SDKROOT}" ${TARGET_DEVICE_ARGS}
-      ;;
-    *.framework)
-      echo "mkdir -p ${TARGET_BUILD_DIR}/${FRAMEWORKS_FOLDER_PATH}" || true
-      mkdir -p "${TARGET_BUILD_DIR}/${FRAMEWORKS_FOLDER_PATH}"
-      echo "rsync --delete -av "${RSYNC_PROTECT_TMP_FILES[@]}" $RESOURCE_PATH ${TARGET_BUILD_DIR}/${FRAMEWORKS_FOLDER_PATH}" || true
-      rsync --delete -av "${RSYNC_PROTECT_TMP_FILES[@]}" "$RESOURCE_PATH" "${TARGET_BUILD_DIR}/${FRAMEWORKS_FOLDER_PATH}"
-      ;;
-    *.xcdatamodel)
-      echo "xcrun momc \"$RESOURCE_PATH\" \"${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename "$RESOURCE_PATH"`.mom\"" || true
-      xcrun momc "$RESOURCE_PATH" "${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename "$RESOURCE_PATH" .xcdatamodel`.mom"
-      ;;
-    *.xcdatamodeld)
-      echo "xcrun momc \"$RESOURCE_PATH\" \"${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename "$RESOURCE_PATH" .xcdatamodeld`.momd\"" || true
-      xcrun momc "$RESOURCE_PATH" "${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename "$RESOURCE_PATH" .xcdatamodeld`.momd"
-      ;;
-    *.xcmappingmodel)
-      echo "xcrun mapc \"$RESOURCE_PATH\" \"${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename "$RESOURCE_PATH" .xcmappingmodel`.cdm\"" || true
-      xcrun mapc "$RESOURCE_PATH" "${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}/`basename "$RESOURCE_PATH" .xcmappingmodel`.cdm"
-      ;;
-    *.xcassets)
-      ABSOLUTE_XCASSET_FILE="$RESOURCE_PATH"
-      XCASSET_FILES+=("$ABSOLUTE_XCASSET_FILE")
-      ;;
-    *)
-      echo "$RESOURCE_PATH" || true
-      echo "$RESOURCE_PATH" >> "$RESOURCES_TO_COPY"
-      ;;
-  esac
-}
-if [[ "$CONFIGURATION" == "Debug" ]]; then
-  install_resource "${PODS_CONFIGURATION_BUILD_DIR}/GoogleMobileVision/GoogleMVFaceDetectorResources.bundle"
-fi
-if [[ "$CONFIGURATION" == "Release" ]]; then
-  install_resource "${PODS_CONFIGURATION_BUILD_DIR}/GoogleMobileVision/GoogleMVFaceDetectorResources.bundle"
-fi
-
-mkdir -p "${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}"
-rsync -avr --copy-links --no-relative --exclude '*/.svn/*' --files-from="$RESOURCES_TO_COPY" / "${TARGET_BUILD_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}"
-if [[ "${ACTION}" == "install" ]] && [[ "${SKIP_INSTALL}" == "NO" ]]; then
-  mkdir -p "${INSTALL_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}"
-  rsync -avr --copy-links --no-relative --exclude '*/.svn/*' --files-from="$RESOURCES_TO_COPY" / "${INSTALL_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}"
-fi
-rm -f "$RESOURCES_TO_COPY"
-
-if [[ -n "${WRAPPER_EXTENSION}" ]] && [ "`xcrun --find actool`" ] && [ -n "${XCASSET_FILES:-}" ]
-then
-  # Find all other xcassets (this unfortunately includes those of path pods and other targets).
-  OTHER_XCASSETS=$(find -L "$PWD" -iname "*.xcassets" -type d)
-  while read line; do
-    if [[ $line != "${PODS_ROOT}*" ]]; then
-      XCASSET_FILES+=("$line")
-    fi
-  done <<<"$OTHER_XCASSETS"
-
-  if [ -z ${ASSETCATALOG_COMPILER_APPICON_NAME+x} ]; then
-    printf "%s\0" "${XCASSET_FILES[@]}" | xargs -0 xcrun actool --output-format human-readable-text --notices --warnings --platform "${PLATFORM_NAME}" --minimum-deployment-target "${!DEPLOYMENT_TARGET_SETTING_NAME}" ${TARGET_DEVICE_ARGS} --compress-pngs --compile "${BUILT_PRODUCTS_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}"
-  else
-    printf "%s\0" "${XCASSET_FILES[@]}" | xargs -0 xcrun actool --output-format human-readable-text --notices --warnings --platform "${PLATFORM_NAME}" --minimum-deployment-target "${!DEPLOYMENT_TARGET_SETTING_NAME}" ${TARGET_DEVICE_ARGS} --compress-pngs --compile "${BUILT_PRODUCTS_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}" --app-icon "${ASSETCATALOG_COMPILER_APPICON_NAME}" --output-partial-info-plist "${TARGET_TEMP_DIR}/assetcatalog_generated_info_cocoapods.plist"
-  fi
-fi

yarn.lock

+# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
+# yarn lockfile v1
+
+