Java Code Examples for com.google.android.gms.vision.text.TextRecognizer#setProcessor()

@SuppressLint("InlinedApi")
protected void createCameraSource() throws MobileVisionException {
    Context context = getApplicationContext();

    TextRecognizer textRecognizer = new TextRecognizer.Builder(context)
            .build();

    OcrTrackerFactory ocrTrackerFactory = new OcrTrackerFactory(graphicOverlay, showText);

    textRecognizer.setProcessor(
            new MultiProcessor.Builder<>(ocrTrackerFactory).build());

    if (!textRecognizer.isOperational()) {
        IntentFilter lowStorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowStorageFilter) != null;

        if (hasLowStorage) {
            throw new MobileVisionException("Low Storage.");
        }
    }

    cameraSource = new CameraSource
            .Builder(getApplicationContext(), textRecognizer)
            .setFacing(camera)
            .setRequestedPreviewSize(previewWidth, previewHeight)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null)
            .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setRequestedFps(fps)
            .build();
}
 

public boolean setTextDetectionListener(final CameraKitEventCallback<CameraKitTextDetect> callback) throws GooglePlayServicesUnavailableException {
    TextRecognizer textRecognizer = new TextRecognizer.Builder(getContext()).build();
    textRecognizer.setProcessor(new TextProcessor(mEventDispatcher, callback));
    int code = GoogleApiAvailability.getInstance().isGooglePlayServicesAvailable(getContext().getApplicationContext());
    if (code != ConnectionResult.SUCCESS) {
        throw new GooglePlayServicesUnavailableException();
    }

    if (textRecognizer.isOperational()) {
        mCameraImpl.setTextDetector(textRecognizer);
        return true;
    } else {
        return false;
    }
}
 

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A text recognizer is created to find text.  An associated processor instance
    // is set to receive the text recognition results and display graphics for each text block
    // on screen.
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new OcrDetectorProcessor(mGraphicOverlay));

    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(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, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the text recognizer to detect small pieces of text.
    mCameraSource =
            new CameraSource.Builder(getApplicationContext(), textRecognizer)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1280, 1024)
            .setRequestedFps(2.0f)
            .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null)
            .build();
}
 

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.
 *
 * Suppressing InlinedApi since there is a icon_save that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource() {
    Context context = getApplicationContext();

    // A text recognizer is created to find text.  An associated processor instance
    // is set to receive the text recognition results and display graphics for each text block
    // on screen.
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new OcrDetectorProcessor(mGraphicOverlay, this));

    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 icon_save if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(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) {
            Snackbar.make(mGraphicOverlay, R.string.low_storage_error, Snackbar.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the text recognizer to detect small pieces of text.
    mCameraSource =
            new CameraSource.Builder(getApplicationContext(), textRecognizer)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1280, 1024)
            .setRequestedFps(2.0f)
            .setFocusMode(Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE)
            .build();
}
 

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A text recognizer is created to find text.  An associated processor instance
    // is set to receive the text recognition results and display graphics for each text block
    // on screen.
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new OcrDetectorProcessor(mGraphicOverlay));

    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(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, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the text recognizer to detect small pieces of text.
    mCameraSource =
            new CameraSource.Builder(getApplicationContext(), textRecognizer)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1280, 1024)
            .setRequestedFps(2.0f)
            .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null)
            .build();
}
 

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.
 * <p>
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A text recognizer is created to find text.  An associated processor instance
    // is set to receive the text recognition results and display graphics for each text block
    // on screen.
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new OcrDetectorProcessor(mGraphicOverlay));

    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(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, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the text recognizer to detect small pieces of text.
    mCameraSource =
            new CameraSource.Builder(getApplicationContext(), textRecognizer)
                    .setFacing(CameraSource.CAMERA_FACING_BACK)
                    .setRequestedPreviewSize(1280, 1024)
                    .setRequestedFps(2.0f)
                    .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
                    .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null)
                    .build();
}
 

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A text recognizer is created to find text.  An associated multi-processor instance
    // is set to receive the text recognition results, track the text, and maintain
    // graphics for each text block on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each text block.
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new OcrDetectorProcessor(graphicOverlay));

    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(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, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the text recognizer to detect small pieces of text.
    cameraSource =
            new CameraSource.Builder(getApplicationContext(), textRecognizer)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1280, 1024)
            .setRequestedFps(2.0f)
            .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_VIDEO : null)
            .build();
}
 

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A text recognizer is created to find text.  An associated processor instance
    // is set to receive the text recognition results and display graphics for each text block
    // on screen.
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new OcrDetectorProcessor(mGraphicOverlay));

    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(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, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the text recognizer to detect small pieces of text.
    mCameraSource =
            new CameraSource.Builder(getApplicationContext(), textRecognizer)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1280, 1024)
            .setRequestedFps(2.0f)
            .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null)
            .build();
}