Public Method Summary

Public Methods

Parameters

Return

Parameters

Return

Sample Code

复制
// Create a face analyzer that uses the default configuration.
MLFaceAnalyzer analyzer = MLAnalyzerFactory.getInstance().getFaceAnalyzer();
// Create an MLFrame bMLFrame the bitmap. It is recommended that the image size be greater than or equal to 320 x 320 and smaller than or equal to 1920 x 1920.
MLFrame frame = MLFrame.fromBitmap(bitmap);
Task<List<MLFace>> task = analyzer.asyncAnalyseFrame(frame);
task.addOnSuccessListener(new OnSuccessListener<List<MLFace>>() {
   public void onSuccess(List<MLFace> faces) {
      // Process the detection result.
   }
}).addOnFailureListener(new OnFailureListener() {
   public void onFailure(Exception e) {
      // Detection failure.
   }
});

Return

Throws