flutter_package / mobile_scanner

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Julian Steenbakker
Committed by GitHub
a841d45f 2 parents ff977f56 704987b7

Merge pull request #352 from juliansteenbakker/imp/return-image-ios 

fix: fixed build issue for ios
Inline Side-by-side
Showing 2 changed files with 97 additions and 330 deletions
import AVFoundation
import Flutter
import MLKitVision
import MLKitBarcodeScanning
import AVFoundation
public class SwiftMobileScannerPlugin: NSObject, FlutterPlugin, FlutterStreamHandler, FlutterTexture, AVCaptureVideoDataOutputSampleBufferDelegate {
let registry: FlutterTextureRegistry
// Sink for publishing event changes
var sink: FlutterEventSink!
public class SwiftMobileScannerPlugin: NSObject, FlutterPlugin {
// Texture id of the camera preview
var textureId: Int64!
/// The mobile scanner object that handles all logic
private let mobileScanner: MobileScanner
// Capture session of the camera
var captureSession: AVCaptureSession!
/// The handler sends all information via an event channel back to Flutter
private let barcodeHandler: BarcodeHandler
// The selected camera
var device: AVCaptureDevice!
// Image to be sent to the texture
var latestBuffer: CVImageBuffer!
init(barcodeHandler: BarcodeHandler, registry: FlutterTextureRegistry) {
self.mobileScanner = MobileScanner(registry: registry, mobileScannerCallback: { barcodes, error, image in
if barcodes != nil {
let barcodesMap = barcodes!.map { barcode in
return barcode.data
}
if (!barcodesMap.isEmpty) {
barcodeHandler.publishEvent(["name": "barcode", "data": barcodesMap, "image": FlutterStandardTypedData(bytes: image.jpegData(compressionQuality: 0.8)!)])
}
} else if (error != nil){
barcodeHandler.publishEvent(["name": "error", "data": error!.localizedDescription])
}
})
self.barcodeHandler = barcodeHandler
super.init()
}
// Return image buffer with the Barcode event
var returnImage: Bool = false
// var analyzeMode: Int = 0
var analyzing: Bool = false
var position = AVCaptureDevice.Position.back
var scanner = BarcodeScanner.barcodeScanner()
public static func register(with registrar: FlutterPluginRegistrar) {
let instance = SwiftMobileScannerPlugin(registrar.textures())
let method = FlutterMethodChannel(name:
"dev.steenbakker.mobile_scanner/scanner/method", binaryMessenger: registrar.messenger())
let event = FlutterEventChannel(name:
"dev.steenbakker.mobile_scanner/scanner/event", binaryMessenger: registrar.messenger())
registrar.addMethodCallDelegate(instance, channel: method)
event.setStreamHandler(instance)
let instance = SwiftMobileScannerPlugin(barcodeHandler: BarcodeHandler(registrar: registrar), registry: registrar.textures())
let methodChannel = FlutterMethodChannel(name:
"dev.steenbakker.mobile_scanner/scanner/method", binaryMessenger: registrar.messenger())
registrar.addMethodCallDelegate(instance, channel: methodChannel)
}
init(_ registry: FlutterTextureRegistry) {
self.registry = registry
super.init()
}
public func handle(_ call: FlutterMethodCall, result: @escaping FlutterResult) {
switch call.method {
case "state":
checkPermission(call, result)
result(mobileScanner.checkPermission())
case "request":
requestPermission(call, result)
AVCaptureDevice.requestAccess(for: .video, completionHandler: { result($0) })
case "start":
start(call, result)
case "torch":
toggleTorch(call, result)
// case "analyze":
// switchAnalyzeMode(call, result)
case "stop":
stop(result)
case "torch":
toggleTorch(call, result)
case "analyzeImage":
analyzeImage(call, result)
default:
result(FlutterMethodNotImplemented)
}
}
// FlutterStreamHandler
public func onListen(withArguments arguments: Any?, eventSink events: @escaping FlutterEventSink) -> FlutterError? {
sink = events
return nil
}
// FlutterStreamHandler
public func onCancel(withArguments arguments: Any?) -> FlutterError? {
sink = nil
return nil
}
// FlutterTexture
public func copyPixelBuffer() -> Unmanaged<CVPixelBuffer>? {
if latestBuffer == nil {
return nil
}
return Unmanaged<CVPixelBuffer>.passRetained(latestBuffer)
}
private func ciImageToJpeg(ciImage: CIImage) -> Data {
/// Parses all parameters and starts the mobileScanner
private func start(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
// let ratio: Int = (call.arguments as! Dictionary<String, Any?>)["ratio"] as! Int
let torch: Bool = (call.arguments as! Dictionary<String, Any?>)["torch"] as? Bool ?? false
let facing: Int = (call.arguments as! Dictionary<String, Any?>)["facing"] as? Int ?? 1
let formats: Array<Int> = (call.arguments as! Dictionary<String, Any?>)["formats"] as? Array ?? []
let returnImage: Bool = (call.arguments as! Dictionary<String, Any?>)["returnImage"] as? Bool ?? false
// let ciImage = CIImage(cvPixelBuffer: latestBuffer)
let context:CIContext = CIContext.init(options: nil)
let cgImage:CGImage = context.createCGImage(ciImage, from: ciImage.extent)!
let uiImage:UIImage = UIImage(cgImage: cgImage, scale: 1, orientation: UIImage.Orientation.up)
return uiImage.jpegData(compressionQuality: 0.8)!;
}
// Gets called when a new image is added to the buffer
public func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
latestBuffer = CMSampleBufferGetImageBuffer(sampleBuffer)
registry.textureFrameAvailable(textureId)
let formatList = formats.map { format in return BarcodeFormat(rawValue: format)}
var barcodeOptions: BarcodeScannerOptions? = nil
if (formatList.count != 0) {
var barcodeFormats: BarcodeFormat = []
for index in formats {
barcodeFormats.insert(BarcodeFormat(rawValue: index))
}
barcodeOptions = BarcodeScannerOptions(formats: barcodeFormats)
}
// switch analyzeMode {
// case 1: // barcode
if analyzing {
return
}
analyzing = true
let buffer = CMSampleBufferGetImageBuffer(sampleBuffer)
let image = VisionImage(image: buffer!.image)
image.orientation = imageOrientation(
deviceOrientation: UIDevice.current.orientation,
defaultOrientation: .portrait
)
scanner.process(image) { [self] barcodes, error in
if error == nil && barcodes != nil {
for barcode in barcodes! {
var event: [String: Any?] = ["name": "barcode", "data": barcode.data]
if (returnImage && latestBuffer != nil) {
let image: CIImage = CIImage(cvPixelBuffer: latestBuffer)
let position = facing == 0 ? AVCaptureDevice.Position.front : .back
let speed: DetectionSpeed = DetectionSpeed(rawValue: (call.arguments as! Dictionary<String, Any?>)["speed"] as? Int ?? 0)!
event["image"] = FlutterStandardTypedData(bytes: ciImageToJpeg(ciImage: image))
}
sink?(event)
}
}
analyzing = false
}
// default: // none
// break
// }
}
func imageOrientation(
deviceOrientation: UIDeviceOrientation,
defaultOrientation: UIDeviceOrientation
) -> UIImage.Orientation {
switch deviceOrientation {
case .portrait:
return position == .front ? .leftMirrored : .right
case .landscapeLeft:
return position == .front ? .downMirrored : .up
case .portraitUpsideDown:
return position == .front ? .rightMirrored : .left
case .landscapeRight:
return position == .front ? .upMirrored : .down
case .faceDown, .faceUp, .unknown:
return .up
@unknown default:
return imageOrientation(deviceOrientation: defaultOrientation, defaultOrientation: .portrait)
}
}
func checkPermission(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
let status = AVCaptureDevice.authorizationStatus(for: .video)
switch status {
case .notDetermined:
result(0)
case .authorized:
result(1)
default:
result(2)
}
}
func requestPermission(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
AVCaptureDevice.requestAccess(for: .video, completionHandler: { result($0) })
}
func start(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
if (device != nil) {
do {
let parameters = try mobileScanner.start(barcodeScannerOptions: barcodeOptions, returnImage: returnImage, cameraPosition: position, torch: torch ? .on : .off, detectionSpeed: speed)
result(["textureId": parameters.textureId, "size": ["width": parameters.width, "height": parameters.height], "torchable": parameters.hasTorch])
} catch MobileScannerError.alreadyStarted {
result(FlutterError(code: "MobileScanner",
message: "Called start() while already started!",
details: nil))
return
}
textureId = registry.register(self)
captureSession = AVCaptureSession()
let argReader = MapArgumentReader(call.arguments as? [String: Any])
returnImage = argReader.bool(key: "returnImage") ?? false
// let ratio: Int = argReader.int(key: "ratio")
let torch: Bool = argReader.bool(key: "torch") ?? false
let facing: Int = argReader.int(key: "facing") ?? 1
let formats: Array = argReader.intArray(key: "formats") ?? []
if (formats.count != 0) {
var barcodeFormats: BarcodeFormat = []
for index in formats {
barcodeFormats.insert(BarcodeFormat(rawValue: index))
}
let barcodeOptions = BarcodeScannerOptions(formats: barcodeFormats)
scanner = BarcodeScanner.barcodeScanner(options: barcodeOptions)
}
// Set the camera to use
position = facing == 0 ? AVCaptureDevice.Position.front : .back
// Open the camera device
if #available(iOS 10.0, *) {
device = AVCaptureDevice.DiscoverySession(deviceTypes: [.builtInWideAngleCamera], mediaType: .video, position: position).devices.first
} else {
device = AVCaptureDevice.devices(for: .video).filter({$0.position == position}).first
}
if (device == nil) {
message: "Called start() while already started!",
details: nil))
} catch MobileScannerError.noCamera {
result(FlutterError(code: "MobileScanner",
message: "No camera found or failed to open camera!",
details: nil))
return
}
// Enable the torch if parameter is set and torch is available
if (device.hasTorch && device.isTorchAvailable) {
do {
try device.lockForConfiguration()
device.torchMode = torch ? .on : .off
device.unlockForConfiguration()
message: "No camera found or failed to open camera!",
details: nil))
} catch MobileScannerError.torchError(let error) {
result(FlutterError(code: "MobileScanner",
message: "Error occured when setting toch!",
details: error))
} catch MobileScannerError.cameraError(let error) {
result(FlutterError(code: "MobileScanner",
message: "Error occured when setting up camera!",
details: error))
} catch {
error.throwNative(result)
}
result(FlutterError(code: "MobileScanner",
message: "Unknown error occured..",
details: nil))
}
device.addObserver(self, forKeyPath: #keyPath(AVCaptureDevice.torchMode), options: .new, context: nil)
captureSession.beginConfiguration()
// Add device input
}
/// Stops the mobileScanner and closes the texture
private func stop(_ result: @escaping FlutterResult) {
do {
let input = try AVCaptureDeviceInput(device: device)
captureSession.addInput(input)
try mobileScanner.stop()
} catch {
error.throwNative(result)
}
captureSession.sessionPreset = AVCaptureSession.Preset.photo;
// Add video output.
let videoOutput = AVCaptureVideoDataOutput()
videoOutput.videoSettings = [kCVPixelBufferPixelFormatTypeKey as String: kCVPixelFormatType_32BGRA]
videoOutput.alwaysDiscardsLateVideoFrames = true
videoOutput.setSampleBufferDelegate(self, queue: DispatchQueue.main)
captureSession.addOutput(videoOutput)
for connection in videoOutput.connections {
connection.videoOrientation = .portrait
if position == .front && connection.isVideoMirroringSupported {
connection.isVideoMirrored = true
}
}
captureSession.commitConfiguration()
captureSession.startRunning()
let demensions = CMVideoFormatDescriptionGetDimensions(device.activeFormat.formatDescription)
let width = Double(demensions.height)
let height = Double(demensions.width)
let size = ["width": width, "height": height]
let answer: [String : Any?] = ["textureId": textureId, "size": size, "torchable": device.hasTorch]
result(answer)
}
func toggleTorch(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
if (device == nil) {
result(FlutterError(code: "MobileScanner",
message: "Called toggleTorch() while stopped!",
details: nil))
return
message: "Called stop() while already stopped!",
details: nil))
}
result(nil)
}
/// Toggles the torch
private func toggleTorch(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
do {
try device.lockForConfiguration()
device.torchMode = call.arguments as! Int == 1 ? .on : .off
device.unlockForConfiguration()
result(nil)
try mobileScanner.toggleTorch(call.arguments as? Int == 1 ? .on : .off)
} catch {
error.throwNative(result)
result(FlutterError(code: "MobileScanner",
message: "Called toggleTorch() while stopped!",
details: nil))
}
result(nil)
}
// func switchAnalyzeMode(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
// analyzeMode = call.arguments as! Int
// result(nil)
// }
func analyzeImage(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
let uiImage = UIImage(contentsOfFile: call.arguments as! String)
/// Analyzes a single image
private func analyzeImage(_ call: FlutterMethodCall, _ result: @escaping FlutterResult) {
let uiImage = UIImage(contentsOfFile: call.arguments as? String ?? "")
if (uiImage == nil) {
result(FlutterError(code: "MobileScanner",
message: "No image found in analyzeImage!",
details: nil))
message: "No image found in analyzeImage!",
details: nil))
return
}
let image = VisionImage(image: uiImage!)
image.orientation = imageOrientation(
deviceOrientation: UIDevice.current.orientation,
defaultOrientation: .portrait
)
var barcodeFound = false
scanner.process(image) { [self] barcodes, error in
mobileScanner.analyzeImage(image: uiImage!, position: AVCaptureDevice.Position.back, callback: { [self] barcodes, error in
if error == nil && barcodes != nil {
for barcode in barcodes! {
barcodeFound = true
let event: [String: Any?] = ["name": "barcode", "data": barcode.data]
sink?(event)
barcodeHandler.publishEvent(event)
}
} else if error != nil {
result(FlutterError(code: "MobileScanner",
message: error?.localizedDescription,
details: "analyzeImage()"))
barcodeHandler.publishEvent(["name": "error", "message": error?.localizedDescription])
}
analyzing = false
result(barcodeFound)
}
}
func stop(_ result: FlutterResult) {
if (device == nil) {
result(FlutterError(code: "MobileScanner",
message: "Called stop() while already stopped!",
details: nil))
return
}
captureSession.stopRunning()
for input in captureSession.inputs {
captureSession.removeInput(input)
}
for output in captureSession.outputs {
captureSession.removeOutput(output)
}
device.removeObserver(self, forKeyPath: #keyPath(AVCaptureDevice.torchMode))
registry.unregisterTexture(textureId)
// analyzeMode = 0
latestBuffer = nil
captureSession = nil
device = nil
textureId = nil
})
result(nil)
}
// Observer for torch state
/// Observer for torch state
public override func observeValue(forKeyPath keyPath: String?, of object: Any?, change: [NSKeyValueChangeKey : Any]?, context: UnsafeMutableRawPointer?) {
switch keyPath {
case "torchMode":
// off = 0; on = 1; auto = 2;
let state = change?[.newKey] as? Int
let event: [String: Any?] = ["name": "torchState", "data": state]
sink?(event)
barcodeHandler.publishEvent(["name": "torchState", "data": state])
default:
break
}
}
}
class MapArgumentReader {
let args: [String: Any]?
init(_ args: [String: Any]?) {
self.args = args
}
func string(key: String) -> String? {
return args?[key] as? String
}
func int(key: String) -> Int? {
return (args?[key] as? NSNumber)?.intValue
}
func bool(key: String) -> Bool? {
return (args?[key] as? NSNumber)?.boolValue
}
func stringArray(key: String) -> [String]? {
return args?[key] as? [String]
}
func intArray(key: String) -> [Int]? {
return args?[key] as? [Int]
}
}
enum DetectionSpeed: Int {
case noDuplicates = 0
case normal = 1
... ...