QR代码扫描的Android ML套件库:如何通过减少图像分辨率来提高检测性能
这是我用于条形码扫描
build.gradle
dependencies {
.....
// MLKit Dependencies
implementation 'com.google.android.gms:play-services-vision:20.1.3'
implementation 'com.google.mlkit:barcode-scanning:17.0.2'
def camerax_version = "1.1.0-beta01"
implementation "androidx.camera:camera-core:${camerax_version}"
implementation "androidx.camera:camera-camera2:${camerax_version}"
implementation "androidx.camera:camera-lifecycle:${camerax_version}"
implementation "androidx.camera:camera-video:${camerax_version}"
......
}
scancamerafragment.kt
class ScanCameraFragment : BaseFragment() {
private lateinit var binding: FragmentScanCameraBinding
private lateinit var cameraExecutor: ExecutorService
//region Lifecycle Methods
override fun onCreateView(inflater: LayoutInflater, container: ViewGroup?,
savedInstanceState: Bundle?): View? {
binding = FragmentScanCameraBinding.inflate(inflater, container, false)
cameraExecutor = Executors.newSingleThreadExecutor()
startCamera()
return binding.root
}
override fun onDestroyView() {
super.onDestroyView()
cameraExecutor.shutdown()
}
companion object {
fun newInstance() = ScanCameraFragment().apply {}
}
private fun startCamera() {
context?.let { context ->
val cameraProviderFuture = ProcessCameraProvider.getInstance(context)
cameraProviderFuture.addListener({
val cameraProvider = cameraProviderFuture.get()
// Preview
val preview = Preview.Builder()
.build()
.also {
it.setSurfaceProvider(binding.previewView.surfaceProvider)
}
// Image analyzer
val imageAnalyzer = ImageAnalysis.Builder()
.setBackpressureStrategy(ImageAnalysis.STRATEGY_KEEP_ONLY_LATEST)
.build()
.also {
it.setAnalyzer(cameraExecutor,
QrCodeAnalyzer(context, binding.barcodeBoxView,
binding.previewView.width.toFloat(),
binding.previewView.height.toFloat()
)
)
}
// Select back camera as a default
val cameraSelector = CameraSelector.DEFAULT_BACK_CAMERA
try {
// Unbind use cases before rebinding
cameraProvider.unbindAll()
// Bind use cases to camera
var camera = cameraProvider.bindToLifecycle(this, cameraSelector,
preview, imageAnalyzer)
} catch (exc: Exception) {
exc.printStackTrace()
}
}, ContextCompat.getMainExecutor(context))
}
}
}
qrcodeanalyzer.kt
class QrCodeAnalyzer(private val context: Context,
private val barcodeBoxView: BarcodeBoxView, private val previewViewWidth: Float,
private val previewViewHeight: Float) : ImageAnalysis.Analyzer {
private var scaleX = 1f
private var scaleY = 1f
private fun translateX(x: Float) = x * scaleX
private fun translateY(y: Float) = y * scaleY
private fun adjustBoundingRect(rect: Rect) = RectF(
translateX(rect.left.toFloat()),
translateY(rect.top.toFloat()),
translateX(rect.right.toFloat()),
translateY(rect.bottom.toFloat())
)
@SuppressLint("UnsafeOptInUsageError")
override fun analyze(image: ImageProxy) {
val img = image.image
if (img != null) {
// Update scale factors
scaleX = previewViewWidth / img.height.toFloat()
scaleY = previewViewHeight / img.width.toFloat()
val inputImage = InputImage.fromMediaImage(img,
image.imageInfo.rotationDegrees)
// Process image searching for barcodes
val options = BarcodeScannerOptions.Builder()
.build()
val scanner = BarcodeScanning.getClient(options)
scanner.process(inputImage)
.addOnSuccessListener { barcodes ->
for (barcode in barcodes) {
barcode?.rawValue?.let {
if (it.trim().isNotBlank()) {
Scanner.updateBarcode(it)
barcode.boundingBox?.let { rect ->
barcodeBoxView.setRect(adjustBoundingRect(rect))
}
}
return@addOnSuccessListener
}
}
// coming here means no satisfiable barcode was found
barcodeBoxView.setRect(RectF())
}
.addOnFailureListener {
image.close()
}
.addOnFailureListener { }
}
image.close()
}
}
此代码有效的,我可以扫描barodes。但是有时,条形码检测很慢。 文档说提高性能的一种方法是限制限制图像分辨率。
不要以相机的本地分辨率捕获输入。在某些方面 设备,在本机分辨率上捕获输入非常生产 大型(10百万像素)图像,导致延迟非常差 对准确性无益。相反,仅要求相机的大小 这是条形码检测所需的,通常不超过2 百万像素。
如果扫描速度很重要,则可以进一步降低图像 捕获分辨率。但是,请记住最小条形码大小 上面概述的要求。
不幸的是,该文档未指定如何减少图像分辨率。我的一些最终用户正在使用具有功能强大的相机的高端设备,因此我们认为性能差是由于图像尺寸。
如何将图像的分辨率减少到固定值(例如1024 x 768),而不是默认的摄像头分辨率?
This is my stripped down sourcecode for barcode scanning
build.gradle
dependencies {
.....
// MLKit Dependencies
implementation 'com.google.android.gms:play-services-vision:20.1.3'
implementation 'com.google.mlkit:barcode-scanning:17.0.2'
def camerax_version = "1.1.0-beta01"
implementation "androidx.camera:camera-core:${camerax_version}"
implementation "androidx.camera:camera-camera2:${camerax_version}"
implementation "androidx.camera:camera-lifecycle:${camerax_version}"
implementation "androidx.camera:camera-video:${camerax_version}"
......
}
ScanCameraFragment.kt
class ScanCameraFragment : BaseFragment() {
private lateinit var binding: FragmentScanCameraBinding
private lateinit var cameraExecutor: ExecutorService
//region Lifecycle Methods
override fun onCreateView(inflater: LayoutInflater, container: ViewGroup?,
savedInstanceState: Bundle?): View? {
binding = FragmentScanCameraBinding.inflate(inflater, container, false)
cameraExecutor = Executors.newSingleThreadExecutor()
startCamera()
return binding.root
}
override fun onDestroyView() {
super.onDestroyView()
cameraExecutor.shutdown()
}
companion object {
fun newInstance() = ScanCameraFragment().apply {}
}
private fun startCamera() {
context?.let { context ->
val cameraProviderFuture = ProcessCameraProvider.getInstance(context)
cameraProviderFuture.addListener({
val cameraProvider = cameraProviderFuture.get()
// Preview
val preview = Preview.Builder()
.build()
.also {
it.setSurfaceProvider(binding.previewView.surfaceProvider)
}
// Image analyzer
val imageAnalyzer = ImageAnalysis.Builder()
.setBackpressureStrategy(ImageAnalysis.STRATEGY_KEEP_ONLY_LATEST)
.build()
.also {
it.setAnalyzer(cameraExecutor,
QrCodeAnalyzer(context, binding.barcodeBoxView,
binding.previewView.width.toFloat(),
binding.previewView.height.toFloat()
)
)
}
// Select back camera as a default
val cameraSelector = CameraSelector.DEFAULT_BACK_CAMERA
try {
// Unbind use cases before rebinding
cameraProvider.unbindAll()
// Bind use cases to camera
var camera = cameraProvider.bindToLifecycle(this, cameraSelector,
preview, imageAnalyzer)
} catch (exc: Exception) {
exc.printStackTrace()
}
}, ContextCompat.getMainExecutor(context))
}
}
}
QRCodeAnalyzer.kt
class QrCodeAnalyzer(private val context: Context,
private val barcodeBoxView: BarcodeBoxView, private val previewViewWidth: Float,
private val previewViewHeight: Float) : ImageAnalysis.Analyzer {
private var scaleX = 1f
private var scaleY = 1f
private fun translateX(x: Float) = x * scaleX
private fun translateY(y: Float) = y * scaleY
private fun adjustBoundingRect(rect: Rect) = RectF(
translateX(rect.left.toFloat()),
translateY(rect.top.toFloat()),
translateX(rect.right.toFloat()),
translateY(rect.bottom.toFloat())
)
@SuppressLint("UnsafeOptInUsageError")
override fun analyze(image: ImageProxy) {
val img = image.image
if (img != null) {
// Update scale factors
scaleX = previewViewWidth / img.height.toFloat()
scaleY = previewViewHeight / img.width.toFloat()
val inputImage = InputImage.fromMediaImage(img,
image.imageInfo.rotationDegrees)
// Process image searching for barcodes
val options = BarcodeScannerOptions.Builder()
.build()
val scanner = BarcodeScanning.getClient(options)
scanner.process(inputImage)
.addOnSuccessListener { barcodes ->
for (barcode in barcodes) {
barcode?.rawValue?.let {
if (it.trim().isNotBlank()) {
Scanner.updateBarcode(it)
barcode.boundingBox?.let { rect ->
barcodeBoxView.setRect(adjustBoundingRect(rect))
}
}
return@addOnSuccessListener
}
}
// coming here means no satisfiable barcode was found
barcodeBoxView.setRect(RectF())
}
.addOnFailureListener {
image.close()
}
.addOnFailureListener { }
}
image.close()
}
}
This code works and I am able to scan barcodes. But sometimes, the barcode detection is slow. The documentation says one way to increase performance is to limit the image resolution.
Don't capture input at the camera’s native resolution. On some
devices, capturing input at the native resolution produces extremely
large (10+ megapixels) images, which results in very poor latency with
no benefit to accuracy. Instead, only request the size from the camera
that's required for barcode detection, which is usually no more than 2
megapixels.If scanning speed is important, you can further lower the image
capture resolution. However, bear in mind the minimum barcode size
requirements outlined above.
Unfortunately, the documentation doesn't specify how to reduce the image resolution. And some of my end users are using high end devices with powerful camera, so we assume the poor performance is because of the image size.
How can I reduce the resolution of the image to a fixed value (something like 1024 x 768) rather than the default camera resolution?
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您可以使用ImageAnalyzer Builder Bij将其设置
.setTargetResolution(size)
或在您的情况下
You can set it on the imageAnalyzer builder bij using
.setTargetResolution(Size)
or in you case
用户Harmenh的答案正确地讲述了如何设置图像分辨率,因此我在这里不重复。
事实证明,我最后的性能问题不是因为图像解决。看来我过早地关闭了图像。
User HarmenH's answer correctly tells how to set the image resolution, so I am not repeating it here.
As it turns out, the performance issue on my end was not because of image resolution. It seems I was closing the imageProxy prematurely.
将您的image -proxy转换为位图,然后它将快速起作用。不要忘记关闭图像代理
Convert your ImageProxy into bitmap then it will work fast.and do not forget to closde image proxy