Java FaceDetector.setProcessor方法代码示例

import com.google.android.gms.vision.face.FaceDetector; //导入方法依赖的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.face.FaceDetector; //导入方法依赖的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.face.FaceDetector; //导入方法依赖的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.face.FaceDetector; //导入方法依赖的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.face.FaceDetector; //导入方法依赖的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.face.FaceDetector; //导入方法依赖的package包/类
/**
 * Setup the face tracker
 */
private void setupFaceTracker(){
    //Move on to Face graphic overlay
    try {
        faceTracker = new FaceTrackerWithGraphic(graphic_face_overlay, this);
        FaceDetector detector = new FaceDetector.Builder(this)
                .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
                .build();
        detector.setProcessor(faceTracker.buildDetector());
    } catch (Exception e){
        e.printStackTrace();
    }
}
 

import com.google.android.gms.vision.face.FaceDetector; //导入方法依赖的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();
}
 

import com.google.android.gms.vision.face.FaceDetector; //导入方法依赖的package包/类
@Nullable
    @Override
    public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {
        View view = inflater.inflate(R.layout.fragment_face_tracking, container, false);

        mPreview = (CameraSourcePreview) view.findViewById(R.id.preview);
        mGraphicOverlay = (GraphicOverlay) view.findViewById(R.id.faceOverlay);

        Context context = getActivity().getApplicationContext();
        FaceDetector detector = new FaceDetector.Builder(context).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();

        return view;
    }
 

import com.google.android.gms.vision.face.FaceDetector; //导入方法依赖的package包/类
public void createCameraSource() {
    //Setup the FaceDetector
    Context context = getApplicationContext();
    FaceDetector detector = new FaceDetector.Builder(context)
            .setProminentFaceOnly(true)   //track only one face... makes it faster.
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)  //allows for eye and smile detection!
            .build();

    detector.setProcessor(
            new LargestFaceFocusingProcessor(detector, new FaceTracker()));


    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.face.FaceDetector; //导入方法依赖的package包/类
public void createCameraSource() {
    Context context = getApplicationContext();
    FaceDetector detector = new FaceDetector.Builder(context)
            //.setProminentFaceOnly(true)   //track only one face... makes it faster.
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)  //allows for eye and smile detection!
            .build();


    detector.setProcessor(
            //new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory()).build());
            new LargestFaceFocusingProcessor(detector, new GraphicFaceTracker(mGraphicOverlay)));

    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.face.FaceDetector; //导入方法依赖的package包/类
public void createCameraSource() {
    Context context = getApplicationContext();
    FaceDetector detector = new FaceDetector.Builder(context)
            //.setProminentFaceOnly(true)   //track only one face... makes it faster.
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)  //allows for eye and smile detection!
            .build();

    //set it up to easily handle more then one face at a time, via the multi processor class.
    detector.setProcessor(
            new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory()).build());
    //new LargestFaceFocusingProcessor(detector,new GraphicFaceTracker(mGraphicOverlay)));

    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)
            .setFacing(CameraSource.CAMERA_FACING_FRONT)
            .setRequestedFps(30.0f)
            .build();
}
 

import com.google.android.gms.vision.face.FaceDetector; //导入方法依赖的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_FRONT)
            .setRequestedFps(30.0f)
            .build();
}
 

import com.google.android.gms.vision.face.FaceDetector; //导入方法依赖的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();

    // 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);
    faceDetector.setProcessor(
            new MultiProcessor.Builder<>(faceFactory).build());

    // 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);
    barcodeDetector.setProcessor(
            new MultiProcessor.Builder<>(barcodeFactory).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 multiDetector = new MultiDetector.Builder()
            .add(faceDetector)
            .add(barcodeDetector)
            .build();

    if (!multiDetector.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, 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.
    mCameraSource = new CameraSource.Builder(getApplicationContext(), multiDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK)
            .setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(15.0f)
            .build();
}
 

import com.google.android.gms.vision.face.FaceDetector; //导入方法依赖的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 = mContextWeakReference.get();
    FaceDetector detector = new FaceDetector.Builder(context)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)
            .build();

    detector.setProcessor(new Detector.Processor<Face>() {
        @Override
        public void release() {

        }

        @Override
        public void receiveDetections(final Detector.Detections<Face> detections) {
            final SparseArray<Face> detectedItems = detections.getDetectedItems();
            if (detectedItems.size() != 0) {
                final int key = detectedItems.keyAt(0);
                final Face face = detectedItems.get(key);
                final float isSmilingProbability = face.getIsSmilingProbability();
                String feedback = getFeedbackForSmileProbability(isSmilingProbability);
                mCallBacks.onShouldGivePositiveAffirmation(feedback);
            }
        }
    });

    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.");
    }

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

        mCameraSource.start();
    } catch (IOException | RuntimeException e) {
        Log.e(TAG, "Something went horribly wrong, with your face.", e);
    }
}