Java MultiProcessor类代码示例

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Create face decoder and camera source.
 */
private void creteCameraTracker() {
    mDetector = new FaceDetector.Builder(mActivity)
            .setTrackingEnabled(false)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
            .build();

    mDetector.setProcessor(
            new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())
                    .build());

    if (!mDetector.isOperational()) {
        mUserAwareVideoView.onErrorOccurred();
        Log.e("Start Tracking", "Face tracker is not operational.");
    }

    mCameraSource = new CameraSource.Builder(mActivity, mDetector)
            .setRequestedPreviewSize(640, 480)
            .setFacing(CameraSource.CAMERA_FACING_FRONT)
            .setRequestedFps(30.0f)
            .build();
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
private void createCameraSource() {
  Context context = getApplicationContext();
  FaceDetector detector = createFaceDetector(context);

  detector.setProcessor(new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory()).build());

  if (!detector.isOperational()) {
    Timber.d("Face detector dependencies are not yet available.");
  }

  cameraSource = new CameraSource.Builder(context, detector) //
      // Camera will decide actual size, and we'll crop accordingly in layout.
      .setRequestedPreviewSize(640, 480)
      .setFacing(CameraSource.CAMERA_FACING_FRONT)
      .setRequestedFps(MAX_FRAME_RATE)
      .setAutoFocusEnabled(true)
      .build();
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances.
 */
private void createCameraSource() {

    Context context = getApplicationContext();
    FaceDetector detector = new FaceDetector.Builder(context)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
            .setLandmarkType(FaceDetector.ALL_LANDMARKS)
            .setMode(FaceDetector.ACCURATE_MODE)
            .build();

    detector.setProcessor(
            new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())
                    .build());

    if (!detector.isOperational()) {
        // Note: The first time that an app using face API is installed on a device, GMS will
        // download a native library 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 faces.
        //
        // isOperational() can be used to check if the required native library is currently
        // available.  The detector will automatically become operational once the library
        // download completes on device.
        Log.w(TAG, "Face detector dependencies are not yet available.");
    }

    mCameraSource = new CameraSource.Builder(context, detector)
            .setRequestedPreviewSize(640, 480)
            .setFacing(CameraSource.CAMERA_FACING_FRONT)
            .setRequestedFps(30.0f)
            .build();
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * 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 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 = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new OcrDetectorProcessor(mGraphicOverlay, this));
    // A face detector is created to track faces.  An associated multi-processor instance
    // is set to receive the face detection results, track the faces, and maintain graphics for
    // each face on screen.  The factory is used by the multi-processor to create a separate
    // tracker instance for each face.
    FaceDetector faceDetector = new FaceDetector.Builder(context).build();
    FaceTrackerFactory faceFactory = new FaceTrackerFactory(mGraphicOverlay, this);
    faceDetector.setProcessor(
            new MultiProcessor.Builder<>(faceFactory).build());

    // A multi-detector groups the two detectors together as one detector.  All images received
    // by this detector from the camera will be sent to each of the underlying detectors, which
    // will each do face and barcode detection, respectively.  The detection results from each
    // are then sent to associated tracker instances which maintain per-item graphics on the
    // screen.
    multiDetector = new MultiDetector.Builder()
            .add(faceDetector)
            .add(textRecognizer)
            .build();


    if (!multiDetector.isOperational()) {
        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(), multiDetector)
                    .setFacing(CameraSource.CAMERA_FACING_BACK)
                    .setRequestedPreviewSize(1600, 1024)
                    .setRequestedFps(2.0f)
                    .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
                    .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null)
                    .build();
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * 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 barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context)
            .build();

    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(mGraphicOverlay, this);
    barcodeDetector.setProcessor(
            new MultiProcessor.Builder<>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face 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 barcodes
        // and/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.

        // 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();
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(15.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(
                autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null);
    }

    mCameraSource = builder
            .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .build();

}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
private void createCameraSourceFront() {
    previewFaceDetector = new FaceDetector.Builder(context)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
            .setLandmarkType(FaceDetector.ALL_LANDMARKS)
            .setMode(FaceDetector.FAST_MODE)
            .setProminentFaceOnly(true)
            .setTrackingEnabled(true)
            .build();

    if(previewFaceDetector.isOperational()) {
        previewFaceDetector.setProcessor(new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory()).build());
    } else {
        Toast.makeText(context, "FACE DETECTION NOT AVAILABLE", Toast.LENGTH_SHORT).show();
    }

    if(useCamera2) {
        mCamera2Source = new Camera2Source.Builder(context, previewFaceDetector)
                .setFocusMode(Camera2Source.CAMERA_AF_AUTO)
                .setFlashMode(Camera2Source.CAMERA_FLASH_AUTO)
                .setFacing(Camera2Source.CAMERA_FACING_FRONT)
                .build();

        //IF CAMERA2 HARDWARE LEVEL IS LEGACY, CAMERA2 IS NOT NATIVE.
        //WE WILL USE CAMERA1.
        if(mCamera2Source.isCamera2Native()) {
            startCameraSource();
        } else {
            useCamera2 = false;
            if(usingFrontCamera) createCameraSourceFront(); else createCameraSourceBack();
        }
    } else {
        mCameraSource = new CameraSource.Builder(context, previewFaceDetector)
                .setFacing(CameraSource.CAMERA_FACING_FRONT)
                .setRequestedFps(30.0f)
                .build();

        startCameraSource();
    }
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
private void createCameraSourceBack() {
    previewFaceDetector = new FaceDetector.Builder(context)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
            .setLandmarkType(FaceDetector.ALL_LANDMARKS)
            .setMode(FaceDetector.FAST_MODE)
            .setProminentFaceOnly(true)
            .setTrackingEnabled(true)
            .build();

    if(previewFaceDetector.isOperational()) {
        previewFaceDetector.setProcessor(new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory()).build());
    } else {
        Toast.makeText(context, "FACE DETECTION NOT AVAILABLE", Toast.LENGTH_SHORT).show();
    }

    if(useCamera2) {
        mCamera2Source = new Camera2Source.Builder(context, previewFaceDetector)
                .setFocusMode(Camera2Source.CAMERA_AF_AUTO)
                .setFlashMode(Camera2Source.CAMERA_FLASH_AUTO)
                .setFacing(Camera2Source.CAMERA_FACING_BACK)
                .build();

        //IF CAMERA2 HARDWARE LEVEL IS LEGACY, CAMERA2 IS NOT NATIVE.
        //WE WILL USE CAMERA1.
        if(mCamera2Source.isCamera2Native()) {
            startCameraSource();
        } else {
            useCamera2 = false;
            if(usingFrontCamera) createCameraSourceFront(); else createCameraSourceBack();
        }
    } else {
        mCameraSource = new CameraSource.Builder(context, previewFaceDetector)
                .setFacing(CameraSource.CAMERA_FACING_BACK)
                .setRequestedFps(30.0f)
                .build();

        startCameraSource();
    }
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * 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) {
    Log.e(TAG, "createCameraSource:");
    Context context = getActivity();

    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context).build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(mGraphicOverlay, this);
    barcodeDetector.setProcessor(
            new MultiProcessor.Builder<>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face 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 barcodes
        // and/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 = getActivity().registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(getActivity(), 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 barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getActivity(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(15.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(
                autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null);
    }

    mCameraSource = builder
            .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .build();
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Creates and starts the camera.
 *
 * 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 barcode_capture detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode_capture detection results, track the barcodes, and maintain
    // graphics for each barcode_capture on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode_capture.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context)
            .setBarcodeFormats(Barcode.ALL_FORMATS)
            .build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(this);
    barcodeDetector.setProcessor(new MultiProcessor.Builder<>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode_capture or face 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 barcodes
        // and/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 barcode_capture detector to detect small barcodes
    // at long distances.
    DisplayMetrics metrics = new DisplayMetrics();
    getWindowManager().getDefaultDisplay().getMetrics(metrics);

    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(metrics.widthPixels, metrics.heightPixels)
            .setRequestedFps(24.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(
                autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null);
    }

    mCameraSource = builder
            .setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .build();
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances.
 */
private void createCameraSource() {

    Context context = getApplicationContext();
    FaceDetector detector = new FaceDetector.Builder(context)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
            .build();

    detector.setProcessor(
            new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())
                    .build());

    if (!detector.isOperational()) {
        // Note: The first time that an app using face API is installed on a device, GMS will
        // download a native library 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 faces.
        //
        // isOperational() can be used to check if the required native library is currently
        // available.  The detector will automatically become operational once the library
        // download completes on device.
        Log.w(TAG, "Face detector dependencies are not yet available.");
    }

    mCameraSource = new CameraSource.Builder(context, detector)
            .setRequestedPreviewSize(640, 480)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedFps(30.0f)
            .build();
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * 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) {
    Context context = getApplicationContext();

    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context).build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(mGraphicOverlay,this);
    barcodeDetector.setProcessor(
            new MultiProcessor.Builder<Barcode>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face 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 barcodes
        // and/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, "Face detector dependencies cannot be downloaded due to low device storage", Toast.LENGTH_LONG).show();
            Log.w(TAG, "Face detector dependencies cannot be downloaded due to low device storage");
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1600, 960)
            .setRequestedFps(15.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(
                autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_VIDEO : null);
    }

    mCameraSource = builder.build();

}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
private BarcodeDetector createBarcodeDetector() {
    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, and track the barcodes.
    // The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(mContext)
        .setBarcodeFormats(mBarcodeTypes)
        .build();

    barcodeDetector.setProcessor(new MultiProcessor.Builder<>(this).build());

    return mBarcodeDetector = barcodeDetector;
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
public void createCameraSource(GraphicOverlay overlay) {

        mGraphicOverlay = overlay;
        FaceDetector detector = new FaceDetector.Builder(context)
                .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
                .build();

        detector.setProcessor(
                new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())
                        .build());

        if (!detector.isOperational()) {
            // Note: The first time that an app using face API is installed on a device, GMS will
            // download a native library 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 faces.
            //
            // isOperational() can be used to check if the required native library is currently
            // available.  The detector will automatically become operational once the library
            // download completes on device.
            Log.w(TAG, "Face detector dependencies are not yet available.");
        }

        mCameraSourceBack = new CameraSource.Builder(context, detector)
                .setRequestedPreviewSize(1980, 1080)
                .setFacing(CameraSource.CAMERA_FACING_BACK)
                .setRequestedFps(30.0f)
                .build();
        mCameraSourceFront = new CameraSource.Builder(context, detector)
                .setRequestedPreviewSize(1980, 1080)
                .setFacing(CameraSource.CAMERA_FACING_FRONT)
                .setRequestedFps(30.0f)
                .build();
    }
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Create the {@link FaceDetector} and initialize the {@link CameraSourcePreview}. To start eye tracking you
 * should call {@link #startEyeTracker()} directly. This will call this method internally.
 */
private void creteCameraTracker() {
    //check for the camera permission
    if (ActivityCompat.checkSelfPermission(mActivity, Manifest.permission.CAMERA) != PackageManager.PERMISSION_GRANTED) {
        mScreenListener.onErrorOccurred(Errors.CAMERA_PERMISSION_NOT_AVAILABLE);
        return;
    }

    //check if the front camera is available?
    if (!isFrontCameraAvailable()) {
        mScreenListener.onErrorOccurred(Errors.FRONT_CAMERA_NOT_AVAILABLE);
        return;
    }

    mDetector = new FaceDetector.Builder(mActivity)
            .setTrackingEnabled(false)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
            .build();
    mDetector.setProcessor(new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())
            .build());

    //The decoder is not operational
    if (!mDetector.isOperational()) {
        mScreenListener.onErrorOccurred(Errors.UNDEFINED);
        return;
    }

    mCameraSource = new CameraSource.Builder(mActivity, mDetector)
            .setRequestedPreviewSize(640, 480)
            .setFacing(CameraSource.CAMERA_FACING_FRONT)
            .setRequestedFps(30.0f)
            .build();
}
 

import com.google.android.gms.vision.MultiProcessor; //导入依赖的package包/类
/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances.
 */
private void createCameraSource() {

    Context context = getApplicationContext();
    FaceDetector detector = new FaceDetector.Builder(context)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
            .setProminentFaceOnly(true)
            .build();

    detector.setProcessor(
            new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())
                    .build());

    if (!detector.isOperational()) {
        // Note: The first time that an app using face API is installed on a device, GMS will
        // download a native library 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 faces.
        //
        // isOperational() can be used to check if the required native library is currently
        // available.  The detector will automatically become operational once the library
        // download completes on device.
        Log.w(TAG, "Face detector dependencies are not yet available.");
    }

    mCameraSource = new CameraSource.Builder(context, detector)
            .setRequestedPreviewSize(640, 480)
            .setFacing(CameraSource.CAMERA_FACING_FRONT)
            .setRequestedFps(30.0f)
            .build();
}