static void Main(string[] args)
{
Console.WriteLine("Looking for faces...");
using (var p = Pipeline.Create())
{
Microsoft.Psi.Kinect.v1.KinectSensor kinectSensor = new Microsoft.Psi.Kinect.v1.KinectSensor(p);
Microsoft.Psi.Kinect.v1.SkeletonFaceTracker faceTracker = new Microsoft.Psi.Kinect.v1.SkeletonFaceTracker(p, kinectSensor.kinectSensor);
var joinedFrames = kinectSensor.ColorImage.Join(kinectSensor.DepthImage).Join(kinectSensor.Skeletons);
joinedFrames.PipeTo(faceTracker);
faceTracker.FaceDetected.Do(x => Console.WriteLine("Face: " + x));
p.Run();
}
}
static void Main(string[] args)
{
Console.WriteLine("Starting speech test...");
using (var p = Pipeline.Create())
{
Microsoft.Psi.Kinect.v1.KinectSensor kinectSensor = new Microsoft.Psi.Kinect.v1.KinectSensor(p);
// Create System.Speech recognizer component
var recognizer = new SystemSpeechRecognizer(
p,
new SystemSpeechRecognizerConfiguration()
{
Language = "en-US",
Grammars = new GrammarInfo[]
{
new GrammarInfo()
{
Name = "Kinect v1 Speech Test", FileName = "SampleGrammar.grxml"
}
}
});
//pipeline);
kinectSensor.Audio.PipeTo(recognizer);
var finalResults = recognizer.Out.Where(result => result.IsFinal);
// Print the recognized text of the final recognition result to the console.
finalResults.Do(result =>
{
var ssrResult = result as SpeechRecognitionResult;
Console.WriteLine($"{ssrResult.Text} (confidence: {ssrResult.Confidence})");
});
p.Run();
}
}
