private void CreateFaceAnalyzer()
{
// Create a face analyzer. You can create an analyzer using the provided customized face detection parameter
ML3DFaceAnalyzerSetting setting = new ML3DFaceAnalyzerSetting.Factory()
// Fast detection of continuous video frames.
// MLFaceAnalyzerSetting.TypePrecision: indicating the precision preference mode.
// This mode will detect more faces and be more precise in detecting key points and contours, but will run slower.
// MLFaceAnalyzerSetting.TypeSpeed: representing a preference for speed.
// This will detect fewer faces and be less precise in detecting key points and contours, but will run faster.
// .SetPerformanceType(MLFaceAnalyzerSetting.TypeSpeed)
.SetPerformanceType(ML3DFaceAnalyzerSetting.TypeSpeed)
.SetTracingAllowed(true)
.Create();
this.analyzer = MLAnalyzerFactory.Instance.Get3DFaceAnalyzer(setting);
this.analyzer.SetTransactor(this);
}
private async void Analyze()
{
// Create a face analyzer. You can create an analyzer using the provided customized face detection parameter
ML3DFaceAnalyzerSetting setting = new ML3DFaceAnalyzerSetting.Factory()
// Fast detection of continuous video frames.
// MLFaceAnalyzerSetting.TypePrecision: indicating the precision preference mode.
// This mode will detect more faces and be more precise in detecting key points and contours, but will run slower.
// MLFaceAnalyzerSetting.TypeSpeed: representing a preference for speed.
// This will detect fewer faces and be less precise in detecting key points and contours, but will run faster.
.SetPerformanceType(MLFaceAnalyzerSetting.TypePrecision)
.SetTracingAllowed(false)
.Create();
this.analyzer = MLAnalyzerFactory.Instance.Get3DFaceAnalyzer(setting);
// Create an MLFrame by using the bitmap. Recommended image size: large than 320*320, less than 1920*1920.
Bitmap bitmap = BitmapFactory.DecodeResource(this.Resources, Resource.Drawable.face_image);
MLFrame frame = MLFrame.FromBitmap(bitmap);
// Call the AnalyseFrameAsync method to perform face detection
Task <IList <ML3DFace> > task = this.analyzer.AnalyseFrameAsync(frame);
try
{
await task;
if (task.IsCompleted && task.Result != null)
{
//Analyze success
var faces = task.Result;
if (faces.Count > 0)
{
this.DisplaySuccess(faces.ElementAt(0));
}
}
else
{
//Analyze failed
this.DisplayFailure();
}
}
catch (Exception e)
{
//Operation failed
Log.Error(Tag, e.Message);
}
}
