在今年的Google I/O大会上,Google新推出了CameraX支持包,按照官方的说法, 这个包的作用是
help you make camera app development easier
google在几年前推出了Camera2 API用于取代Camera1, 但是因为api太难用,大部分开发者还是喜欢使用Camera1的api,这不得不说是一件讽刺的事情。这次推出的CameraX支持包不仅消除各种使用上的障碍,还与大受好评的archecture component 包的Lifecycle结合,自动管理相机的生命周期,开发者不在需要去关心什么时候打开相机,什么时候释放相机。甚至联系各个手机厂商提供统一的api调用使用美颜等接口,看起来诚意满满。
本文将在这个demo中将会使用到CameraX中三大功能中的两个:
- preview
- analysis
创建app
创建app,声明相机权限
添加相关依赖
implementation 'com.tbruyelle.rxpermissions2:rxpermissions:0.9.5'
def camerax_version = "1.0.0-alpha02"
implementation "androidx.camera:camera-core:${camerax_version}"
// If you want to use Camera2 extensions.
implementation "androidx.camera:camera-camera2:${camerax_version}"
implementation 'com.google.zxing:core:3.3.2'
注意,这里有个坑, 因为camerax还没有发布正式版,而它依赖的androidx.core:core:1.1.0-rc1
中AppcompatActivity
居然不是LifeCycleOwner
,所以要祭出在support liabary时代解决依赖冲突的黄金代码:
subprojects {
configurations.all {
resolutionStrategy {
force "androidx.core:core:1.0.2"
}
}
}
编写代码实现摄像头预览
val previewConfig = PreviewConfig.Builder().apply {
setTargetAspectRatio(Rational(1, 1))
setTargetResolution(Size(640, 640))
}.build()
val preview = Preview(previewConfig)
preview.setOnPreviewOutputUpdateListener {
textureView.surfaceTexture = it.surfaceTexture
}
CameraX.bindToLifecycle(this@MainActivity, preview)
编写代码实现数据分析回调
数据分析可以指定回调的线程
val analysisConfig = ImageAnalysisConfig.Builder().apply {
setImageReaderMode(ImageAnalysis.ImageReaderMode.ACQUIRE_LATEST_IMAGE)
val analyzerThread = HandlerThread("BarcodeAnalyzer").apply { start() }
setCallbackHandler(Handler(analyzerThread.looper))
}.build()
val analysis = ImageAnalysis(analysisConfig)
analysis.analyzer = QRcodeAnalyzer()
CameraX.bindToLifecycle(this@MainActivity, analysis)
同时绑定预览和分析,并且搞定权限申请
class MainActivity : AppCompatActivity() {
@SuppressLint("CheckResult")
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
setContentView(R.layout.activity_main)
val previewConfig = PreviewConfig.Builder().apply {
setTargetAspectRatio(Rational(1, 1))
setTargetResolution(Size(640, 640))
}.build()
val analysisConfig = ImageAnalysisConfig.Builder().apply {
setImageReaderMode(ImageAnalysis.ImageReaderMode.ACQUIRE_LATEST_IMAGE)
val analyzerThread = HandlerThread("BarcodeAnalyzer").apply { start() }
setCallbackHandler(Handler(analyzerThread.looper))
}.build()
val rxPermissions = RxPermissions(this)
val preview = Preview(previewConfig)
val analysis = ImageAnalysis(analysisConfig)
preview.setOnPreviewOutputUpdateListener {
textureView.surfaceTexture = it.surfaceTexture
}
analysis.analyzer = QRcodeAnalyzer()
rxPermissions.request(android.Manifest.permission.CAMERA)
.subscribe {
CameraX.bindToLifecycle(this@MainActivity,
preview,
analysis)
}
}
}
实现QRcodeAnalyzer
做二维码解码,很多开发者是直接在zxing-Android 项目基础上删删改改,其实不建议这样做,应为那个项目是从Android早期版本开始的,一些东西都为了支持老版本系统而做出了妥协,很多代码都显得老旧而且不优雅,查看源码你会发现它调用摄像头的方法是非常复杂的。这里我们只是用xzing核心库com.google.zxing:core
class QRcodeAnalyzer : ImageAnalysis.Analyzer {
private val reader: MultiFormatReader = MultiFormatReader()
init {
val map = mapOf>(
Pair(DecodeHintType.POSSIBLE_FORMATS, arrayListOf(BarcodeFormat.QR_CODE))
)
reader.setHints(map)
}
override fun analyze(image: ImageProxy, rotationDegrees: Int) {
if (ImageFormat.YUV_420_888 != image.format) {
Log.e("BarcodeAnalyzer", "expect YUV_420_888, now = ${image.format}")
return
}
val buffer = image.planes[0].buffer
val data = ByteArray(buffer.remaining())
val height = image.height
val width = image.width
buffer.get(data)
//TODO 调整crop的矩形区域,目前是全屏(全屏有更好的识别体验,但是在部分手机上可能OOM)
val source = PlanarYUVLuminanceSource(data, width, height, 0, 0, width, height, false)
val bitmap = BinaryBitmap(HybridBinarizer(source))
try {
val result = reader.decode(bitmap)
Log.e("BarcodeAnalyzer", "resolved!!! = $result")
} catch (e: Exception) {
Log.d("BarcodeAnalyzer", "Error decoding barcode")
}
}
}
大功告成, 核心代码不超过100行
项目地址:https://github.com/hotstu/QRCodeCameraX
本人在上写的内容除特别注明以外均为本人原创,转载需经本人同意,欢迎转载分享,请注明出处。