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

Example 1 with InputImage

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

the class FileFaceDetectionAsyncTask method doInBackground.

@Override
protected Void doInBackground(Void... voids) {
    if (isCancelled()) {
        return null;
    }
    mRNFaceDetector = detectorForOptions(mOptions, mContext);
    try {
        ExifInterface exif = new ExifInterface(mPath);
        mOrientation = exif.getAttributeInt(ExifInterface.TAG_ORIENTATION, ExifInterface.ORIENTATION_UNDEFINED);
    } catch (IOException e) {
        Log.e(ERROR_TAG, "Reading orientation from file `" + mPath + "` failed.", e);
    }
    try {
        InputImage image = InputImage.fromFilePath(mContext, Uri.parse(mUri));
        FaceDetector detector = mRNFaceDetector.getDetector();
        detector.process(image).addOnSuccessListener(new OnSuccessListener<List<Face>>() {

            @Override
            public void onSuccess(List<Face> faces) {
                serializeEventData(faces);
            }
        }).addOnFailureListener(new OnFailureListener() {

            @Override
            public void onFailure(Exception e) {
                Log.e(ERROR_TAG, "Text recognition task failed", e);
                mPromise.reject(ERROR_TAG, "Text recognition task failed", e);
            }
        });
    } catch (IOException e) {
        e.printStackTrace();
        Log.e(ERROR_TAG, "Creating Firebase Image from uri" + mUri + "failed", e);
        mPromise.reject(ERROR_TAG, "Creating Firebase Image from uri" + mUri + "failed", e);
    }
    return null;
}

Example 2 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(Bitmap bitmap) {
    ImageDimensions dimensions = new ImageDimensions(bitmap.getWidth(), bitmap.getHeight());
    InputImage image = InputImage.fromBitmap(bitmap, 0);
    return new RNFrame(image, dimensions);
}

Example 3 with InputImage

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

the class FaceDetectorAsyncTask method doInBackground.

@Override
protected Void doInBackground(Void... ignored) {
    if (isCancelled() || mDelegate == null || mFaceDetector == null) {
        return null;
    }
    InputImage image = InputImage.fromByteArray(mImageData, mWidth, mHeight, getFirebaseRotation(), InputImage.IMAGE_FORMAT_YV12);
    FaceDetector detector = mFaceDetector.getDetector();
    detector.process(image).addOnSuccessListener(new OnSuccessListener<List<Face>>() {

        @Override
        public void onSuccess(List<Face> faces) {
            WritableArray facesList = serializeEventData(faces);
            mDelegate.onFacesDetected(facesList);
            mDelegate.onFaceDetectingTaskCompleted();
        }
    }).addOnFailureListener(new OnFailureListener() {

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

Example 4 with InputImage

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

the class FaceDetectorAsyncTask method doInBackground.

@Override
protected Void doInBackground(Void... ignored) {
    if (isCancelled() || mDelegate == null || mFaceDetector == null) {
        return null;
    }
    InputImage image = InputImage.fromByteArray(mImageData, mWidth, mHeight, getFirebaseRotation(), InputImage.IMAGE_FORMAT_YV12);
    FaceDetector detector = mFaceDetector.getDetector();
    detector.process(image).addOnSuccessListener(new OnSuccessListener<List<Face>>() {

        @Override
        public void onSuccess(List<Face> faces) {
            WritableArray facesList = serializeEventData(faces);
            mDelegate.onFacesDetected(facesList);
            mDelegate.onFaceDetectingTaskCompleted();
        }
    }).addOnFailureListener(new OnFailureListener() {

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

Example 5 with InputImage

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

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;
}