Examples with InputImage com.google.mlkit.vision.common.InputImage used on opensource projects

Example 11 with InputImage

use of com.google.mlkit.vision.common.InputImage in project react-native-camera by react-native-community.

the class TextRecognizerAsyncTask method doInBackground.

@Override
protected Void doInBackground(Void... ignored) {
    if (isCancelled() || mDelegate == null) {
        return null;
    }
    TextRecognizer detector = TextRecognition.getClient(TextRecognizerOptions.DEFAULT_OPTIONS);
    InputImage image = InputImage.fromByteArray(mImageData, mWidth, mHeight, getFirebaseRotation(), InputImage.IMAGE_FORMAT_YV12);
    detector.process(image).addOnSuccessListener(new OnSuccessListener<Text>() {

        @Override
        public void onSuccess(Text firebaseVisionText) {
            List<Text.TextBlock> textBlocks = firebaseVisionText.getTextBlocks();
            WritableArray serializedData = serializeEventData(textBlocks);
            mDelegate.onTextRecognized(serializedData);
            mDelegate.onTextRecognizerTaskCompleted();
        }
    }).addOnFailureListener(new OnFailureListener() {

        @Override
        public void onFailure(Exception e) {
            Log.e(TAG, "Text recognition task failed" + e);
            mDelegate.onTextRecognizerTaskCompleted();
        }
    });
    return null;
}

Example 12 with InputImage

use of com.google.mlkit.vision.common.InputImage in project react-native-camera by react-native-community.

the class RNFrameFactory method buildFrame.

public static RNFrame buildFrame(byte[] bitmapData, int width, int height, int rotation) {
    ByteBuffer byteBuffer = ByteBuffer.wrap(bitmapData);
    ImageDimensions dimensions = new ImageDimensions(width, height, rotation);
    InputImage image = InputImage.fromByteBuffer(byteBuffer, width, height, rotation, InputImage.IMAGE_FORMAT_NV21);
    return new RNFrame(image, dimensions);
}