détecteur de visage avec le sexe Mâle ou Femelle

Question

private static final int REQUET_LOADIMAGE = 111; 
private Button btnDetect; 
private ImageView image; 
private Bitmap bitmap; 
@Override 

protected void onCreate(Bundle savedInstanceState) { 
    super.onCreate(savedInstanceState); 
    setContentView(R.layout.photogallery); 
    image = (ImageView) findViewById(R.id.image); 
    btnDetect=(Button)findViewById(R.id.btnDetect); 
    btnDetect.setOnClickListener(new View.OnClickListener() { 
     @Override 
     public void onClick(View v) { 

      detectFacesInImage(); 
     } 
    }); 
    Intent intent = new Intent(); 
    intent.setType("image/*"); // filter only image type files 
    intent.setAction(Intent.ACTION_GET_CONTENT); 
    intent.addCategory(Intent.CATEGORY_OPENABLE); 
    startActivityForResult(intent, REQUET_LOADIMAGE); 
} 
@Override 
protected void onActivityResult(int requestCode, int resultCode, Intent data) { 
    super.onActivityResult(requestCode, resultCode, data); 
    if (requestCode == REQUET_LOADIMAGE && resultCode == RESULT_OK) { 

     if (bitmap != null) { 
      bitmap.recycle(); 
     } 
     try { 
      InputStream inputStream = getContentResolver().openInputStream(data.getData()); 
      bitmap = BitmapFactory.decodeStream(inputStream); 
      inputStream.close(); 
      image.setImageBitmap(bitmap); 

     } catch (FileNotFoundException e) { 
      e.printStackTrace(); 
     } catch (IOException e) { 
      e.printStackTrace(); 
     } 
    } 
} 

public void detectFacesInImage() { 

    //Create a Paint object for drawing with 
    Paint myRectPaint = new Paint(); 
    myRectPaint.setStrokeWidth(5); 
    myRectPaint.setColor(Color.RED); 
    myRectPaint.setStyle(Paint.Style.STROKE); 
    //Create a Canvas object for drawing on 
    Bitmap tempBitmap = Bitmap.createBitmap(bitmap.getWidth(), bitmap.getHeight(), Bitmap.Config.RGB_565); 
    Canvas tempCanvas = new Canvas(tempBitmap); 
    tempCanvas.drawBitmap(bitmap, 0, 0, null); 

    //Detect the Faces 
    FaceDetector faceDetector = new FaceDetector.Builder(getApplicationContext()) 
      .setTrackingEnabled(false) 
      .build(); 
    Frame frame = new Frame.Builder().setBitmap(bitmap).build(); 
    SparseArray<Face> faces = faceDetector.detect(frame); 

    if (faces.size() == 0) { 
     Toast.makeText(this, "None face detected!", Toast.LENGTH_SHORT).show(); 
    } else { 
     //Draw Rectangles on the Faces 
     for (int i = 0; i < faces.size(); i++) { 
      Face thisFace = faces.valueAt(i); 
      float x1 = thisFace.getPosition().x; 
      float y1 = thisFace.getPosition().y; 
      float x2 = x1 + thisFace.getWidth(); 
      float y2 = y1 + thisFace.getHeight(); 


      tempCanvas.drawRoundRect(new RectF(x1, y1, x2, y2), 2, 2, myRectPaint); 
      faceDetector.release(); 
     } 

     image.setImageDrawable(new BitmapDrawable(getResources(), tempBitmap)); 
    } 
} 
} 

J'ai réussi à mettre en place la détection de visage en utilisant google play-services-vision: 9.4.0+ 'et aussi obtenir le visage détecté par un programme simple à l'aide de toile. Je veux connaître le genre de la photo donnée sur onClicklistner.

Y at-il un moyen de le faire?

Answer 1

Essayez d'utiliser cette api: Classification Sexe https://algorithmia.com/algorithms/deeplearning/GenderClassification

import com.algorithmia.*; 
import com.algorithmia.algo.*; 

String input = "{\n" 
+ " \"image\": \"data://deeplearning/example_data/m_ali.jpg\"\n" 
+ "}"; 
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY"); 
Algorithm algo = client.algo("algo://deeplearning/GenderClassification/1.0.1"); 
AlgoResponse result = algo.pipeJson(input); 
System.out.println(result.asJsonString()); 

Json Résultat:

{ 
    "results": [ 
    [0.9948568344116211, "Male"], 
    [0.0051431627944111815, "Female"] 
    ] 
}