Sample Code

// Create a face analyzer.
MLFaceAnalyzer analyzer = MLAnalyzerFactory.getInstance().getFaceAnalyzer();
// Create a largest face processor to recognize the largest face and pass the result to MLResMLResultTrailerprocessing. MLResMLResultTrailer base class, which needs to be inherited and implemented by developers based on service logic.
MLMaxSizeFaceTransactor transactor = new MLMaxSizeFaceTransactor.Creator(analyzer, new MLResultTrailer<MLFace>()).create();
analyzer.setTransactor(transactor);
// The processor is used only for real-time video detection and is invalid for single image detection.
LensEngine lensEngine = new LensEngine.Creator(context, analyzer)
   .applyDisplayDimension(640, 480)
   .create();