但如果真的不够用,也可以自定义dispatcher,用扩展函数asCoroutineDispatcher可以非常方便的把Java中的线程池Executors转化为dispatcher: val dispatcher = Executors.newSingleThreadExecutor().asCoroutineDispatcher launch(dispatcher) { delay(1000) println("Single thread dispatcher") } CoroutineName CoroutineName是比较...
但如果真的不够用,也可以自定义dispatcher,用扩展函数asCoroutineDispatcher可以非常方便的把Java中的线程池Executors转化为dispatcher: val dispatcher = Executors.newSingleThreadExecutor().asCoroutineDispatcher launch(dispatcher) { delay(1000) println("Single thread dispatcher") } CoroutineName CoroutineName是比较...
=nulloverridefunonCreate(savedInstanceState:Bundle?){super.onCreate(savedInstanceState)setContentView(R.layout.activity_main)cameraExecutor=Executors.newSingleThreadExecutor()classifier=TFLiteImageClassifier(this)// 请求相机权限if(allPermissionsGranted()){startCamera()}else{ActivityCompat.requestPermissions(this...
但如果真的不够用,也可以自定义dispatcher,用扩展函数asCoroutineDispatcher可以非常方便的把Java中的线程池Executors转化为dispatcher: valdispatcher = Executors.newSingleThreadExecutor().asCoroutineDispatcher launch(dispatcher) { delay(1000) println("Single thread dispatcher") } CoroutineName CoroutineName是比较简...
Executors.newScheduledThreadPool(10) .asCoroutineDispatcher().use { dispatcher -> GlobalScope.launch(dispatcher) { log(1) // 这里会默认继承父协程的调度器 val job = launch { log(2) delay(1000) log(3) "Hello" } log(4) val result = job.join() ...
Now, since coroutines use Executors under the hood, I can assume that their guarantees are essentially the same. However, making assumptions in context of concurrency can result in a lot of pain down the road. You could say that Kotlin isn’t JVM language exclusively, so it wouldn’t make...
("org.tensorflow:tensorflow-lite-support:0.4.4")// 相机扩展库(可选)implementation("androidx.camera:camera-core:1.3.0")implementation("androidx.camera:camera-lifecycle:1.3.0")implementation("androidx.camera:camera-view:1.3.0")// 协程支持implementation("org.jetbrains.kotlinx:kotlinx-coroutines-...