Java FaceDetector类代码示例

import com.google.android.gms.vision.face.FaceDetector; //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.face.FaceDetector; //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.face.FaceDetector; //导入依赖的package包/类
/**
 * Update the position/characteristics of the face within the overlay.
 */
@Override
public void onUpdate(FaceDetector.Detections<Face> detectionResults, Face face) {
    mOverlay.add(mFaceGraphic);
    boolean isSmiling = face.getIsSmilingProbability() > SMILING_THRESHOLD;
    if (isSmiling) {
        float leftEye = face.getIsLeftEyeOpenProbability();
        float rightEye = face.getIsRightEyeOpenProbability();
        if (Math.abs(leftEye - rightEye) >= WINK_THRESHOLD) {
            takeShot();
        }
    }

    mFaceGraphic.setIsReady(isSmiling);
    mFaceGraphic.updateFace(face);
}
 

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

    int facing = CameraSource.CAMERA_FACING_FRONT;
    if (!mIsFrontFacing) {
        facing = CameraSource.CAMERA_FACING_BACK;
    }

    // The camera source is initialized to use either the front or rear facing camera.  We use a
    // relatively low resolution for the camera preview, since this is sufficient for this app
    // and the face detector will run faster at lower camera resolutions.
    //
    // However, note that there is a speed/accuracy trade-off with respect to choosing the
    // camera resolution.  The face detector will run faster with lower camera resolutions,
    // but may miss smaller faces, landmarks, or may not correctly detect eyes open/closed in
    // comparison to using higher camera resolutions.  If you have any of these issues, you may
    // want to increase the resolution.
    mCameraSource = new CameraSource.Builder(context, detector)
            .setFacing(facing)
            .setRequestedPreviewSize(320, 240)
            .setRequestedFps(60.0f)
            .setAutoFocusEnabled(true)
            .build();
}
 

import com.google.android.gms.vision.face.FaceDetector; //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.face.FaceDetector; //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.face.FaceDetector; //导入依赖的package包/类
@Override
public FREObject call( FREContext context, FREObject[] args ) {
	super.call( context, args );

	AIR.log( "FaceDetection::isOperational" );

	Activity activity = AIR.getContext().getActivity();

	FaceDetector.Builder fb = new FaceDetector.Builder( activity.getApplicationContext() );
	final FaceDetector detector = fb.build();
	try {
		return FREObject.newObject( detector.isOperational() );
	} catch( FREWrongThreadException e ) {
		e.printStackTrace();
	}

	return null;
}
 

import com.google.android.gms.vision.face.FaceDetector; //导入依赖的package包/类
public void setDetector(){
    FaceDetector detector = new FaceDetector.Builder(this)
            .setTrackingEnabled(true)
            .setLandmarkType(FaceDetector.ALL_LANDMARKS)
            .setMode(FaceDetector.ACCURATE_MODE)
            .build();


    Detector<Face> safeDetector = new SafeFaceDetector(detector);

    if (!safeDetector.isOperational()) {
        Toast.makeText(this, "Detector are having issues", Toast.LENGTH_LONG).show();
    } else {
        Frame frame = new Frame.Builder().setBitmap(mbitmap).build();
        mFaces = safeDetector.detect(frame);
        safeDetector.release();
    }

}
 

import com.google.android.gms.vision.face.FaceDetector; //导入依赖的package包/类
private Optional<Face> findLargestFace(Bitmap inputImage) {
final FaceDetector detector = createDetector();
      final SparseArray<Face> faces = detector.detect(new Frame.Builder().setBitmap(inputImage).build());

      Face largestFace = null;
float largestSize = 0f;
Timber.d("found " + faces.size() + " faces in photo");

      for (int i = 0; i < faces.size(); ++i) {
          final Face face = faces.valueAt(i);
	final float faceSize = face.getHeight() * face.getWidth();
	if (faceSize > largestSize) {
		largestFace = face;
		largestSize = faceSize;
	}
      }

detector.release();
return Optional.fromNullable(largestFace);
  }
 

import com.google.android.gms.vision.face.FaceDetector; //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.face.FaceDetector; //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.face.FaceDetector; //导入依赖的package包/类
@Override
public FaceDetector getFaceDetector() {
    if (mFaceDetector == null) {
        mFaceDetector = new FaceDetector.Builder(this)
                .setTrackingEnabled(true)
                .build();
    }
    return mFaceDetector;
}
 

import com.google.android.gms.vision.face.FaceDetector; //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.face.FaceDetector; //导入依赖的package包/类
/**
 * Creates the face detector and the camera.
 */
private void createCameraSource(FaceDetector detector) {
    Context context = getApplicationContext();

    mCameraSource = new CameraSource.Builder(context, detector)
            .setFacing(CameraSource.CAMERA_FACING_FRONT)
            .setRequestedFps(24f)
            .build();
}
 

import com.google.android.gms.vision.face.FaceDetector; //导入依赖的package包/类
@Override
public void onUpdate(FaceDetector.Detections<Face> detectionResults, final Face face) {
    smileProbability = face.getIsSmilingProbability();
    if (smileProbability != -1) {
        runOnUiThread(new Runnable() {
            @Override
            public void run() {
                setColorAlpha(smileProbability * 255);
            }
        });
    } else {
        setColorAlpha(0);
    }
}