Firebase ML 套件给出 FirebaseMLException: Waiting for the text recognition model to be download。请稍等
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【中文标题】Firebase ML 套件给出 FirebaseMLException: Waiting for the text recognition model to be download。请稍等【英文标题】:Firebase ML kit give FirebaseMLException: Waiting for the text recognition model to be downloaded. Please wait 【发布时间】:2019-03-22 04:15:31 【问题描述】:我使用 firebase ml 工具包进行文本识别,但在模拟器和真实设备上给出了这个例外。
W/System.err: com.google.firebase.ml.common.FirebaseMLException: Waiting for the text recognition model to be downloaded. Please wait.
at com.google.android.gms.internal.firebase_ml.zzjz.zzc(Unknown Source)
at com.google.android.gms.internal.firebase_ml.zzjz.zza(Unknown Source)
at com.google.android.gms.internal.firebase_ml.zzic.call(Unknown Source)
at com.google.android.gms.internal.firebase_ml.zzhx.zza(Unknown Source)
at com.google.android.gms.internal.firebase_ml.zzhy.run(Unknown Source)
at android.os.Handler.handleCallback(Handler.java:733)
at android.os.Handler.dispatchMessage(Handler.java:95)
at com.google.android.gms.internal.firebase_ml.zze.dispatchMessage(Unknown Source)
at android.os.Looper.loop(Looper.java:136)
at android.os.HandlerThread.run(HandlerThread.java:61)
这是我的代码
private fun MlProcessText(imageUri:Uri)
val bitmap = MediaStore.Images.Media.getBitmap(contentResolver, imageUri)
val textVision = FirebaseVisionImage.fromBitmap(bitmap)
val detector = FirebaseVision.getInstance().onDeviceTextRecognizer
detector.processImage(textVision).addOnSuccessListener it ->
val blocks = it.textBlocks
if (blocks.size == 0 )
tvVision.text = "NO TEXT"
else
blocks.forEach
tvVision.append(" $it.text")
.addOnFailureListener
it.printStackTrace() // this is the exception log
tvVision.text = it.message
我也试过了:
1- 设置->应用->Google Play 服务->存储->管理空间->清除所有数据
2-低存储检查(至少 1Gig 免费)
并添加元数据
<meta-data
android:name="com.google.firebase.ml.vision.DEPENDENCIES"
android:value="ocr,text" />
但还是同样的错误!
更新
卡了几天后,我尝试使用 Google Mobile Vision
所以我将它添加到我的依赖项中
implementation 'com.google.android.gms:play-services-vision:17.0.2'
在 OCR 和这段代码中使用this article
//Create the TextRecognizer
final TextRecognizer textRecognizer = new TextRecognizer.Builder(getApplicationContext()).build();
if (!textRecognizer.isOperational())
Log.w(TAG, "Detector dependencies not loaded yet");
else
//Initialize camerasource to use high resolution and set Autofocus on.
mCameraSource = new CameraSource.Builder(getApplicationContext(), textRecognizer)
.setFacing(CameraSource.CAMERA_FACING_BACK)
.setRequestedPreviewSize(1280, 1024)
.setAutoFocusEnabled(true)
.setRequestedFps(2.0f)
.build();
textRecognizer.isOperational()
总是返回 false
。这意味着它也不起作用。我认为这两个问题有一些共同点。
所以我被困在 android 的文本识别器上!
测试:Nox 模拟器、google Nexus 5X API 26 模拟器以及华为 p10 和三星 Galaxy S7 真机。
有什么办法可以解决这个问题吗?
【问题讨论】:
【参考方案1】:TextRecognizer textRecognizer = new TextRecognizer.Builder(this).build();
if(!textRecognizer.isOperational())
// Note: The first time that an app using a Vision API is installed on a
// device, GMS will download a native libraries to the device in order to do detection.
// Usually this completes before the app is run for the first time. But if that
// download has not yet completed, then the above call will not detect any text,
// barcodes, or faces.
// isOperational() can be used to check if the required native libraries are currently
// available. The detectors will automatically become operational once the library
// downloads complete on device.
Log.w(LOG_TAG, "Detector dependencies are not yet available.");
// Check for low storage. If there is low storage, the native library will not be
// downloaded, so detection will not become operational.
IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;
if (hasLowStorage)
Toast.makeText(this,"Low Storage", Toast.LENGTH_LONG).show();
Log.w(LOG_TAG, "Low Storage");
【讨论】:
这是检查存储的好点,我这样做了,hasLowStorage 返回 false 还可以尝试在 (!textRecognizer.isOperational) 等待某个时间,如此链接 [链接] (github.com/googlesamples/android-vision/issues/180) 中所建议的那样【参考方案2】:我注意到有时问题是互联网连接速度慢,只是需要更多时间来下载模型。 为了尽量减少糟糕的用户体验,我添加了这个预热方法,并在应用启动后立即调用它,因此当实际识别发生时,模型已经下载。
/**
* We call that on startup with hope the needed model will be downloaded as soon as possible;
* It is used to prevent: "Waiting for the text recognition model to be downloaded. Please wait."
* exception when recognizing.
*/
public static void warmUp()
Bitmap image = Bitmap.createBitmap(100, 100, Bitmap.Config.ARGB_8888);
image.eraseColor(android.graphics.Color.GREEN);
FirebaseVisionImage firebaseVisionImage = FirebaseVisionImage.fromBitmap(image);
FirebaseVision.getInstance().getOnDeviceTextRecognizer()
.processImage(firebaseVisionImage)
.addOnSuccessListener(null)
.addOnFailureListener(null);
【讨论】:
【参考方案3】:尝试从 google play 服务卸载更新。
【讨论】:
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