Android MLKit 仅在屏幕中央扫描二维码

Question

我实现了 firebase MLKit 来扫描 QRCode，它正在扫描，但它正在扫描屏幕上的所有 QRcode。 我只需要扫描中心捕获的 QRCode(中心有箭头 ImageView)，我该怎么做？

我尝试在 Analisys 函数上裁剪(在 analysisUseCase?.setAnalyzer 内)

imageProxy.cropRect()

我尝试在 processImageProxy 函数上裁剪。 但是没有成功，我认为我不能用这个裁剪

class QrcodeScanner(
        private val onQrCapture: Barcode.() -> Unit,
        private val onFailure: Throwable.() -> Unit,
        private val lifecycleOwner: LifecycleOwner,
        private val context: Context,
        private val previewView: PreviewView
) {

    private var cameraSelector: CameraSelector = CameraSelector.Builder()
            .requireLensFacing(CameraSelector.LENS_FACING_BACK)
            .build()
    private var cameraProvider: ProcessCameraProvider? = null
    private var previewUseCase: Preview? = null
    private var analysisUseCase: ImageAnalysis? = null

    fun startCamera() {
        val cameraProviderFuture =
                ProcessCameraProvider.getInstance(context)
        cameraProviderFuture.addListener(
                {
                    runCatching {
                        val provider = cameraProviderFuture.get()
                        cameraProvider = provider
                        startPreview()
                        startAnalysis()
                    }.onFailure {
                        onFailure(it)
                    }
                },
                ContextCompat.getMainExecutor(context)
        )
    }

    private fun startPreview() {
        if (previewUseCase != null) {
            cameraProvider?.unbind(previewUseCase)
        }

        previewUseCase = Preview.Builder()
                .setTargetRotation(previewView.display.rotation)
                .build()
        previewUseCase?.setSurfaceProvider(previewView.surfaceProvider)

        runCatching {
            cameraProvider?.bindToLifecycle(lifecycleOwner,
                    cameraSelector,
                    previewUseCase
            )
        }.onFailure {
            onFailure(it)
        }
    }

    private fun startAnalysis() {
        val options = BarcodeScannerOptions.Builder()
             .setBarcodeFormats(Barcode.FORMAT_QR_CODE)
             .build()
        val barcodeScanner: BarcodeScanner = BarcodeScanning.getClient(options)

        if (cameraProvider == null) {
            return
        }
        if (analysisUseCase != null) {
            cameraProvider?.unbind(analysisUseCase)
        }

        analysisUseCase = ImageAnalysis.Builder()
                .setTargetRotation(previewView.display.rotation)
                .build()

        val cameraExecutor = Executors.newSingleThreadExecutor()

        analysisUseCase?.setAnalyzer(cameraExecutor, ImageAnalysis.Analyzer { imageProxy ->
            processImageProxy(barcodeScanner, imageProxy)
        })

        runCatching {
            cameraProvider?.bindToLifecycle(lifecycleOwner,
                    cameraSelector,
                    analysisUseCase
            )
        }.onFailure {
            onFailure(it)
        }

    }

    @SuppressLint("UnsafeExperimentalUsageError")
    private fun processImageProxy(
            barcodeScanner: BarcodeScanner,
            imageProxy: ImageProxy
    ) {
        runCatching {
            val img = imageProxy.image
            if (img != null) {
                val inputImage =
                        InputImage.fromMediaImage(img, imageProxy.imageInfo.rotationDegrees)

                barcodeScanner.process(inputImage)
                        .addOnSuccessListener { barcodes ->
                            barcodes.forEach {
                                onQrCapture(it)
                            }
                        }
                        .addOnFailureListener {
                            onFailure(it)
                        }.addOnCompleteListener {
                            imageProxy.close()
                        }
            } else {
                throw Exception("Falha ao processar a imagem")
            }
        }.onFailure {
            onFailure(it)
        }

    }

}

Answer 1

imageProxy.cropRect() 只在图片中放置元数据，不做裁剪操作。对于静态图像，您可以将其转换为位图并进行裁剪。更好的方法是在所有返回的条码都带有检测到的条码边界框时过滤掉结果。

在 MLKit 中，我们添加了对图像裁剪的支持。