Java FaceDetector.isOperational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 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 setBitmap(Bitmap bitmap) {
      mBitmap = bitmap;

      /*开启人脸检测*/
      FaceDetector detector = null;
      try {
          detector = new FaceDetector.Builder(getContext())
                  .setTrackingEnabled(false)
                  .setLandmarkType(FaceDetector.ALL_LANDMARKS)
                  .setMode(FaceDetector.ACCURATE_MODE)
                  .build();

      } catch (Exception e) {
          e.printStackTrace();
      }

      /**
       * 你需要检查FaceDetector是否是可操作的。每当用户第一次在设备上使用人脸检测，
       * Play Services服务需要加载一组小型本地库去处理应用程序的请求。
       * 虽然这些工作一般在应用程序启动之前就完成了，但是做好失败处理同样是必要的。
       如果FaceDetector是可操作的，那么你需要将位图数据转化成Frame对象，
       并通过detect函数传入用来做人脸数据分析。当完成数据分析后，你需要释放探测器，
       防止内存泄露。最后调用invalidate()函数来触发视图刷新。
       * **/

      //检测人脸检测是否可用，如果可用
      if (!detector.isOperational()) {
           //不可以用，重新加载
          Log.i("wangqihui","not initial");
      } else {
          Frame frame =new Frame.Builder().setBitmap(bitmap).build();
          mFaces=detector.detect(frame);
          detector.release();
      }
/*      Frame frame =new Frame.Builder().setBitmap(bitmap).build();
      mFaces=detector.detect(frame);
      detector.release();*/
      invalidate();
  }
 

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
private Bitmap getFaceBitmap(Bitmap bmp,Context context){

        FaceDetector faceDetector = new
                FaceDetector.Builder(context).setTrackingEnabled(false)
                .build();
        if(!faceDetector.isOperational()){
            System.out.println("Face detector not working");
            return null;
        }
        Bitmap faceBitmap = null;

        Frame frame = new Frame.Builder().setBitmap(bmp).build();
        SparseArray<Face> faces = faceDetector.detect(frame);
        for(int i=0; i<faces.size(); i++) {
            Face thisFace = faces.valueAt(i);

            int faceWidth=(int)thisFace.getWidth();
            int faceHeight=(int)thisFace.getHeight();
            int x1 = (int)thisFace.getPosition().x;
            int y1 = (int)thisFace.getPosition().y;


            faceBitmap=Bitmap.createBitmap(bmp,
                    x1> (faceWidth/2) ? (x1-faceWidth/2):0,
                    y1> (faceHeight/2) ? (y1-faceHeight/2):0,
                    1.5*faceWidth < bmp.getWidth() ? (int)(1.5*faceWidth) : bmp.getWidth(),
                    1.5*faceHeight < bmp.getWidth() ? (int)(1.5*faceHeight) : bmp.getHeight());

        }
        if(faceBitmap!=null) return faceBitmap;
        return bmp;
    }
 

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 = 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);
    }
}