Swift AVFoundation 二維碼掃描和產生

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項目最終不須要支援iOS6了(淚崩),在二維碼掃描這一塊,可以全然的放棄ZXing庫,改用系統的AVFoundation了,拿swift寫了個Demo,效果例如以下:
github地址:點這裡

有關AVFoundation和Core Image(濾鏡等),可以先看看objc.io第21期和第23期的有關介紹.

初始化視頻捕捉

    // 初始化視頻捕獲    private func initCapture() {        // 代表抽象的硬體裝置,這裡傳入video        let captureDevice = AVCaptureDevice.defaultDeviceWithMediaType(AVMediaTypeVideo)        var error: NSError?
 // 輸入資料流 var captureInput = AVCaptureDeviceInput.deviceInputWithDevice(captureDevice, error: &error) as?
 AVCaptureDeviceInput if (error != nil && captureInput == nil) { let errorAlert = UIAlertController(title: "提醒", message: "請在iPhone的\"設定-隱私-相機\"選項中,同意XXX訪問您的相機", preferredStyle: .Alert) errorAlert.addAction(UIAlertAction(title: "確定", style: UIAlertActionStyle.Default, handler: nil)) self.presentViewController(errorAlert, animated: true, completion: nil) } else { // input和output的橋樑,它協調著intput到output的傳輸資料.(見字意,session-會話) captureSession = AVCaptureSession() captureSession!.addInput(captureInput) // 輸出資料流 let captureMetadataOutput = AVCaptureMetadataOutput() // 限制掃描地區http://blog.csdn.net/lc_obj/article/details/41549469 captureMetadataOutput.rectOfInterest = CGRectMake(128.0/ScreenWH.screenHeight, (ScreenWH.screenWidth - 280.0)/ScreenWH.screenWidth * 2.0, 280.0/ScreenWH.screenHeight, 280.0/ScreenWH.screenWidth) captureSession!.addOutput(captureMetadataOutput) // 加入的隊列按規定必須是串列 captureMetadataOutput.setMetadataObjectsDelegate(self, queue: dispatch_get_main_queue()) // 指定資訊類型,QRCode,你懂的 captureMetadataOutput.metadataObjectTypes = [AVMetadataObjectTypeQRCode] // 用這個預覽圖層和映像資訊捕獲會話(session)來顯示視頻 videoPreviewLayer = AVCaptureVideoPreviewLayer(session: captureSession!) videoPreviewLayer!.videoGravity = AVLayerVideoGravityResizeAspectFill videoPreviewLayer!.frame = view.bounds view.layer.addSublayer(videoPreviewLayer!) } }

PS:LZ用了下和新浪微博的掃一掃,發現那個掃描框是忽悠人的,也就是你沒拿它對準二維碼,僅僅要二維碼進入手機網路攝影機範圍,就行解碼成功….囧
所以LZ在代碼中做了一個掃描地區的限制(感覺蠻無聊的)

實現代理解碼

    // MARK: - AVCaptureMetadataOutputObjectsDelegate    func captureOutput(captureOutput: AVCaptureOutput!, didOutputMetadataObjects metadataObjects: [AnyObject]!, fromConnection connection: AVCaptureConnection!) {        if metadataObjects == nil || metadataObjects.count == 0 {            captureView!.frame = CGRectZero            return        }        // 刷取出來的資料        for metadataObject in metadataObjects {            if metadataObject.type == AVMetadataObjectTypeQRCode {                let metadata = metadataObject as! AVMetadataMachineReadableCodeObject                // 中繼資料對象就會被轉化成圖層的座標                let codeCoord = videoPreviewLayer!.transformedMetadataObjectForMetadataObject(metadata) as! AVMetadataMachineReadableCodeObject                captureView!.frame = codeCoord.bounds                if metadata.stringValue != nil {                    println("\(metadata.stringValue)")                    self.captureSession!.stopRunning()                    let successAlert = UIAlertController(title:"提示", message:"是否開啟" + metadata.stringValue, preferredStyle: .Alert)                    successAlert.addAction(UIAlertAction(title:"取消", style: .Default, handler: { (_) -> Void in                        self.stopCapture()                    }))                    successAlert.addAction(UIAlertAction(title:"確定", style: .Default, handler: { (_) -> Void in                        if metadata.stringValue.lowercaseString.hasPrefix("http") {                            UIApplication.sharedApplication().openURL(NSURL(string: metadata.stringValue)!)                            self.navigationController!.popViewControllerAnimated(true)                        }                    }))                    self.presentViewController(successAlert, animated: true, completion: nil)                }            }        }    }

資料轉換AVMetadataMachineReadableCodeObject相應二維碼.

產生二維碼

    // MARK: - Private Methods    private func createQRForString(qrString: String?, qrImageName: String?) -> UIImage?{        if let sureQRString = qrString {            let stringData = sureQRString.dataUsingEncoding(NSUTF8StringEncoding, allowLossyConversion: false)            // 建立一個二維碼的濾鏡            let qrFilter = CIFilter(name: "CIQRCodeGenerator")            qrFilter.setValue(stringData, forKey: "inputMessage")            qrFilter.setValue("H", forKey: "inputCorrectionLevel")            let qrCIImage = qrFilter.outputImage            // 建立一個顏色濾鏡,黑白色            let colorFilter = CIFilter(name: "CIFalseColor")            colorFilter.setDefaults()            colorFilter.setValue(qrCIImage, forKey: "inputImage")            colorFilter.setValue(CIColor(red: 0, green: 0, blue: 0), forKey: "inputColor0")            colorFilter.setValue(CIColor(red: 1, green: 1, blue: 1), forKey: "inputColor1")            // 返回二維碼image            let codeImage = UIImage(CIImage: colorFilter.outputImage.imageByApplyingTransform(CGAffineTransformMakeScale(5, 5)))            // 通常,二維碼都是定製的,中間都會放想要表達意思的圖片            if let iconImage = UIImage(named: qrImageName!) {                let rect = CGRectMake(0, 0, codeImage!.size.width, codeImage!.size.height)                UIGraphicsBeginImageContext(rect.size)                codeImage!.drawInRect(rect)                let avatarSize = CGSizeMake(rect.size.width * 0.25, rect.size.height * 0.25)                let x = (rect.width - avatarSize.width) * 0.5                let y = (rect.height - avatarSize.height) * 0.5                iconImage.drawInRect(CGRectMake(x, y, avatarSize.width, avatarSize.height))                let resultImage = UIGraphicsGetImageFromCurrentImageContext()                UIGraphicsEndImageContext()                return resultImage            }            return codeImage        }        return nil    }

結尾:AVFoundation這個架構特別的強大,也可以用它來寫自己定義相機,拍照和錄製視頻等

Swift AVFoundation 二維碼掃描和產生