FirebaseVisionCloudTextDetector

public class FirebaseVisionCloudTextDetector extends Object
implements Closeable

Detector for performing optical character recognition(OCR) on an input image by sending the image to Google cloud ML backend.

A cloud text detector is created via getVisionCloudTextDetector(FirebaseVisionCloudDetectorOptions) or getVisionCloudTextDetector() if you wish to use the default FirebaseVisionCloudDetectorOptions. For example, the code below creates a cloud text detector with default options.


 FirebaseVisionCloudTextDetector cloudTextDetector =
    FirebaseVision.getInstance().getVisionCloudTextDetector();
To perform text detection in an image, you first need to create an instance of FirebaseVisionImage from a Bitmap, ByteBuffer, etc. See FirebaseVisionImage documentation for more details. For example, the code below creates a FirebaseVisionImage from a Bitmap. 
      FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);
Then the code below can detect texts in the supplied FirebaseVisionImage. 

 Task<FirebaseVisionCloudText> task = cloudTextDetector.detectInImage(image);
 task.addOnSuccessListener(...).addOnFailureListener(...);

Public Method Summary

void
close()
Task<FirebaseVisionCloudText>
detectInImage(FirebaseVisionImage image)
Detects text from supplied image.

Inherited Method Summary

Public Methods

public void close ()

Throws
IOException

public Task<FirebaseVisionCloudText> detectInImage (FirebaseVisionImage image)

Detects text from supplied image. If no text detected, the FirebaseVisionCloudText retrieved by the Task is null.

For best efficiency, create a FirebaseVisionImage object using one of the following ways:

All other FirebaseVisionImage factory methods will work as well, but possibly slightly slower.
Returns