ImageAnalysis中的关闭图像会使Mlkit停止工作

Question

分析器类

private class Analyzer: ImageAnalysis.Analyzer {
val faceDetectObj=FaceDetectionActivity()
@SuppressLint("UnsafeExperimentalUsageError")
override fun analyze(image: ImageProxy) {
val proxy=image
val currentImage=proxy.image
val rotDegree=  proxy.imageInfo.rotationDegrees
if (currentImage!=null){
val imageNew=InputImage.fromMediaImage(currentImage,rotDegree)
faceDetectObj.detectFaces(imageNew)
}  
image.close()  //error because of this line
}

FaceDetectionActivit.kt

class FaceDetectionActivity :AppCompatActivity() {
fun detectFaces(image: InputImage) {
// [START set_detector_options]
val options = FaceDetectorOptions.Builder()
.setClassificationMode(FaceDetectorOptions.PERFORMANCE_MODE_ACCURATE)
.setLandmarkMode(FaceDetectorOptions.LANDMARK_MODE_ALL)
.setClassificationMode(FaceDetectorOptions.CLASSIFICATION_MODE_ALL)
.setMinFaceSize(0.15f)
.enableTracking()
.build()
// [END set_detector_options]
// [START get_detector]
val detector = FaceDetection.getClient(options)
// Or, to use the default option:
// val detector = FaceDetection.getClient();
// [END get_detector]
// [START run_detector]
val result = detector.process(image)
.addOnSuccessListener { faces ->
// Task completed successfully
// [START_EXCLUDE]
// [START get_face_info]
for (face in faces) {
val bounds = face.boundingBox
val rotY = face.headEulerAngleY // Head is rotated to the right rotY degrees
val rotZ = face.headEulerAngleZ // Head is tilted sideways rotZ degrees

// If landmark detection was enabled (mouth, ears, eyes, cheeks, and
// nose available):
val leftEar = face.getLandmark(FaceLandmark.LEFT_EAR)
leftEar?.let {
val leftEarPos = leftEar.position
}
// If classification was enabled:
if (face.smilingProbability != null) {
val smileProb = face.smilingProbability
}
if (face.rightEyeOpenProbability != null) {
val rightEyeOpenProb = face.rightEyeOpenProbability
}
// If face tracking was enabled:
if (face.trackingId != null) {
val id = face.trackingId
}
}
// [END get_face_info]
// [END_EXCLUDE]
}
.addOnFailureListener { e ->
e.printStackTrace()
// Task failed with an exception
// ...
}
result.addOnCompleteListener {
processFaceList(it.result as List<Face>)
}.addOnFailureListener {
it.printStackTrace()
}
// [END run_detector]
}
fun processFaceList(faces: List<Face>) {
// [START mlkit_face_list]
for (face in faces) {
val bounds = face.boundingBox
val rotY = face.headEulerAngleY // Head is rotated to the right rotY degrees
val rotZ = face.headEulerAngleZ // Head is tilted sideways rotZ degrees
// If landmark detection was enabled (mouth, ears, eyes, cheeks, and
// nose available):
val leftEar = face.getLandmark(FaceLandmark.LEFT_EAR)
leftEar?.let {
val leftEarPos = leftEar.position
}
// If contour detection was enabled:
val leftEyeContour = face.getContour(FaceContour.LEFT_EYE)?.points
val upperLipBottomContour = face.getContour(FaceContour.UPPER_LIP_BOTTOM)?.points
Log.d("help ","Needed P2")
// If classification was enabled:
if (face.smilingProbability != null) {
val smileProb = face.smilingProbability
}
if (face.rightEyeOpenProbability != null) {
val rightEyeOpenProb = face.rightEyeOpenProbability
}
// If face tracking was enabled:
if (face.trackingId != null) {
val id = face.trackingId
}
}
// [END mlkit_face_list]
}
}

我试图使用上面的代码(直接从文档中(检测人脸。ImageAnlayser需要在每帧之后关闭，但如果我这样做，mlkit会抛出

2020-10-13 23:38:42.121 30424-30424/? E/AndroidRuntime: FATAL EXCEPTION: main
Process: com.airbender.camcorder, PID: 30424
com.google.android.gms.tasks.RuntimeExecutionException: com.google.mlkit.common.MlKitException: Internal error has occurred when executing ML Kit tasks
at com.google.android.gms.tasks.zzu.getResult(Unknown Source:15)
at com.airbender.camcorder.FaceDetectionActivity$detectFaces$1.onComplete(FaceDetectionActivty.kt:67)
at com.google.android.gms.tasks.zzj.run(Unknown Source:4)
at android.os.Handler.handleCallback(Handler.java:883)
at android.os.Handler.dispatchMessage(Handler.java:100)
at android.os.Looper.loop(Looper.java:214)
at android.app.ActivityThread.main(ActivityThread.java:7398)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:493)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:924)
Caused by: com.google.mlkit.common.MlKitException: Internal error has occurred when executing ML Kit tasks
at com.google.mlkit.common.sdkinternal.ModelResource.zza(com.google.mlkit:common@@17.0.0:32)
at com.google.mlkit.common.sdkinternal.zzl.run(Unknown Source:10)
at com.google.mlkit.common.sdkinternal.zzp.run(com.google.mlkit:common@@17.0.0:3)
at com.google.mlkit.common.sdkinternal.MlKitThreadPool.zzd(com.google.mlkit:common@@17.0.0:24)
at com.google.mlkit.common.sdkinternal.MlKitThreadPool.zza(com.google.mlkit:common@@17.0.0:30)
at com.google.mlkit.common.sdkinternal.zzh.run(Unknown Source:2)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1167)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:641)
at java.lang.Thread.run(Thread.java:919)
Caused by: java.lang.IllegalStateException: Image is already closed
at android.media.Image.throwISEIfImageIsInvalid(Image.java:72)
at android.media.ImageReader$SurfaceImage$SurfacePlane.getBuffer(ImageReader.java:965)
at com.google.android.gms.vision.Frame$Builder.setPlanes(com.google.android.gms:play-services-vision-common@@19.1.2:14)
at com.google.mlkit.vision.face.internal.zzb.zza(com.google.android.gms:play-services-mlkit-face-detection@@16.1.1:61)
at com.google.mlkit.vision.face.internal.zzb.zza(com.google.android.gms:play-services-mlkit-face-detection@@16.1.1:90)
at com.google.mlkit.vision.face.internal.zzb.run(com.google.android.gms:play-services-mlkit-face-detection@@16.1.1:169)
at com.google.mlkit.vision.common.internal.MobileVisionBase.zza(com.google.mlkit:vision-common@@16.1.0:23)
at com.google.mlkit.vision.common.internal.zzc.call(Unknown Source:4)
at com.google.mlkit.common.sdkinternal.ModelResource.zza(com.google.mlkit:common@@17.0.0:29)
at com.google.mlkit.common.sdkinternal.zzl.run(Unknown Source:10) 
at com.google.mlkit.common.sdkinternal.zzp.run(com.google.mlkit:common@@17.0.0:3) 
at com.google.mlkit.common.sdkinternal.MlKitThreadPool.zzd(com.google.mlkit:common@@17.0.0:24) 
at com.google.mlkit.common.sdkinternal.MlKitThreadPool.zza(com.google.mlkit:common@@17.0.0:30) 
at com.google.mlkit.common.sdkinternal.zzh.run(Unknown Source:2) 
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1167) 
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:641) 
at java.lang.Thread.run(Thread.java:919) 

如何关闭每一帧，这样我就可以按照它的工作方式处理当前的每一帧而不会出错。有什么需要做的吗？。谢谢

Answer 1

您应该关闭检测器的onComplete侦听器中的图像，因为ML Kit检测器在进程调用后会在后台线程中使用该图像。