java - net - reconocimiento facial raspberry opencv

API de reconocimiento facial

Question

Utilizando Java para Android, estoy tratando de encontrar una manera de reconocer la cara con la imagen de la cámara.

¿Algunas ideas? ¿Alguien tiene alguna sugerencia API?

Answer 1

Aquí hay algunos enlaces que encontré en las bibliotecas de reconocimiento facial.

• FaceDetector.Face de Android
  • Tutorial: Implementando Detección de Rostros en Android
• OpenCV Facerecog

Enlaces de identificación de imagen:

• Moodstocks
• Ltutech

Answer 2

Puedes probar la API de cara de Microsoft. Puede detectar e identificar personas. Aprenda más sobre la API de cara here .

Answer 3

Usa este codigo

public class MainActivity extends AppCompatActivity { 

private FaceOverlayView mFaceOverlayView;

@Override 
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_main);
    mFaceOverlayView = (FaceOverlayView) findViewById( R.id.face_overlay );

    InputStream stream = getResources().openRawResource( R.raw.face );
    Bitmap bitmap = BitmapFactory.decodeStream(stream);

    mFaceOverlayView.setBitmap(bitmap);

} } 

Faceoverlay.java

public class FaceOverlayView extends View {

private Bitmap mBitmap;
private SparseArray<Face> mFaces;

public FaceOverlayView(Context context) {
    this(context, null);
} 

public FaceOverlayView(Context context, AttributeSet attrs) {
    this(context, attrs, 0);
} 

public FaceOverlayView(Context context, AttributeSet attrs, int defStyleAttr) {
    super(context, attrs, defStyleAttr);
} 

public void setBitmap( Bitmap bitmap ) {
    mBitmap = bitmap;
    FaceDetector detector = new FaceDetector.Builder( getContext() )
            .setTrackingEnabled(true) 
            .setLandmarkType(FaceDetector.ALL_LANDMARKS)
            .setMode(FaceDetector.ACCURATE_MODE)
            .build(); 

    if (!detector.isOperational()) {
        //Handle contingency 
    } else { 
        Frame frame = new Frame.Builder().setBitmap(bitmap).build();
        mFaces = detector.detect(frame);
        detector.release();
    } 
    logFaceData(); 
    invalidate();
} 

@Override 
protected void onDraw(Canvas canvas) {
    super.onDraw(canvas);

    if ((mBitmap != null) && (mFaces != null)) {
        double scale = drawBitmap(canvas);
        drawFaceLandmarks(canvas, scale);
    } 
} 

private double drawBitmap(Canvas canvas) {
    double viewWidth = canvas.getWidth();
    double viewHeight = canvas.getHeight();
    double imageWidth = mBitmap.getWidth();
    double imageHeight = mBitmap.getHeight();
    double scale = Math.min(viewWidth / imageWidth, viewHeight / imageHeight);

    Rect destBounds = new Rect(0, 0, (int)(imageWidth * scale), (int)(imageHeight * scale));
    canvas.drawBitmap(mBitmap, null, destBounds, null);
    return scale;
} 

private void drawFaceBox(Canvas canvas, double scale) {
    //This should be defined as a member variable rather than 
    //being created on each onDraw request, but left here for 
    //emphasis. 
    Paint paint = new Paint();
    paint.setColor(Color.GREEN);
    paint.setStyle(Paint.Style.STROKE);
    paint.setStrokeWidth(5);

    float left = 0;
    float top = 0;
    float right = 0;
    float bottom = 0;

    for( int i = 0; i < mFaces.size(); i++ ) {
        Face face = mFaces.valueAt(i);

        left = (float) ( face.getPosition().x * scale );
        top = (float) ( face.getPosition().y * scale );
        right = (float) scale * ( face.getPosition().x + face.getWidth() );
        bottom = (float) scale * ( face.getPosition().y + face.getHeight() );

        canvas.drawRect( left, top, right, bottom, paint );
    } 
} 

private void drawFaceLandmarks( Canvas canvas, double scale ) {
    Paint paint = new Paint();
    paint.setColor( Color.GREEN );
    paint.setStyle( Paint.Style.STROKE );
    paint.setStrokeWidth( 5 );

    for( int i = 0; i < mFaces.size(); i++ ) {
        Face face = mFaces.valueAt(i);

        for ( Landmark landmark : face.getLandmarks() ) {
            int cx = (int) ( landmark.getPosition().x * scale );
            int cy = (int) ( landmark.getPosition().y * scale );
            canvas.drawCircle( cx, cy, 10, paint );
        } 

    } 
} 

private void logFaceData() { 
    float smilingProbability;
    float leftEyeOpenProbability;
    float rightEyeOpenProbability;
    float eulerY;
    float eulerZ;
    for( int i = 0; i < mFaces.size(); i++ ) {
        Face face = mFaces.valueAt(i);

        smilingProbability = face.getIsSmilingProbability();
        leftEyeOpenProbability = face.getIsLeftEyeOpenProbability();
        rightEyeOpenProbability = face.getIsRightEyeOpenProbability();
        eulerY = face.getEulerY();
        eulerZ = face.getEulerZ();

        Log.e( "Tuts+ Face Detection", "Smiling: " + smilingProbability );
        Log.e( "Tuts+ Face Detection", "Left eye open: " + leftEyeOpenProbability );
        Log.e( "Tuts+ Face Detection", "Right eye open: " + rightEyeOpenProbability );
        Log.e( "Tuts+ Face Detection", "Euler Y: " + eulerY );
        Log.e( "Tuts+ Face Detection", "Euler Z: " + eulerZ );
    } 
} } 

Referencia

https://github.com/tutsplus/Android-PlayServices-FaceDetection/tree/master/app/src/main

Answer 4

Utiliza la clase media.FaceDetector en Android para detectar la cara de forma gratuita.

Este es un ejemplo de detección de rostros: https://github.com/betri28/FaceDetectCamera

Answer 5

macgyver ofrece programas de detección de rostros a través de una API fácil de usar.

El programa a continuación toma una referencia a una imagen pública y devolverá una matriz de las coordenadas y dimensiones de cualquier cara detectada en la imagen.

https://askmacgyver.com/explore/program/face-location/5w8J9u4z