public IClusterDataSource CreateClusterDataSource(ClusterDataSourceSettings clusterDataSourceSettings)
{
var size = new IntSize(this.Adapter.DepthStreamWidth, this.Adapter.DepthStreamHeight);
var clusterFactory = new KMeansClusterFactory(clusterDataSourceSettings, size);
var filter = new ImageFrameDepthPointFilter(size, clusterDataSourceSettings.MinimumDepthThreshold, clusterDataSourceSettings.MaximumDepthThreshold, clusterDataSourceSettings.LowerBorder);
return new SDKClusterDataSource(this.Adapter, clusterFactory, filter);
}
public void Test_ToString()
{
var size = new IntSize(10, 12);
var sizeText = size.ToString();
Assert.IsTrue(sizeText.Contains("10"));
Assert.IsTrue(sizeText.Contains("12"));
}
public void Test_Equals()
{
var size = new IntSize(10, 10);
var equalSize = new IntSize(10, 10);
var unequalSize = new IntSize(11, 10);
Assert.AreEqual(size, equalSize);
Assert.AreNotEqual(size, unequalSize);
Assert.AreNotEqual(size, null);
Assert.AreNotEqual(size, new object());
}
private void RunTest(string framePath, Action<HandCollection> assertions)
{
var frameSize = new IntSize(640, 480);
var frame = new DepthDataFrameRepository(frameSize).Load(framePath);
using (var frameDataSource = new DepthFramePointerDataSource(frame))
{
var src = new HandDataSource(new ClusterShapeDataSource(new OpenNIClusterDataSource(frameDataSource, new ClusterDataSourceSettings())));
frameDataSource.Push();
assertions(src.CurrentValue);
}
}
public HandDataFactory(IntSize size, ClusterDataSourceSettings clusteringSettings, ShapeDataSourceSettings shapeSettings, HandDataSourceSettings handSettings)
{
this.clusteringSettings = clusteringSettings;
this.shapeSettings = shapeSettings;
this.handSettings = handSettings;
this.clusterFactory = new KMeansClusterFactory(this.clusteringSettings, size);
this.filter = new PointerDepthPointFilter(size, this.clusteringSettings.MinimumDepthThreshold, this.clusteringSettings.MaximumDepthThreshold, this.clusteringSettings.LowerBorder);
this.shapeFactory = new ClusterShapeFactory(this.shapeSettings);
this.handFactory = new ShapeHandDataFactory(this.handSettings);
}
public void Setup()
{
var settings = new ClusterDataSourceSettings();
settings.LowerBorder = 0;
settings.MinimalPointsForClustering = 1;
settings.MinimalPointsForValidCluster = 1;
settings.PointModulo = 1;
settings.MergeMaximumClusterCenterDistances = 1;
settings.MergeMaximumClusterCenterDistances2D = 1;
settings.MergeMinimumDistanceToCluster = 1;
this.size = new IntSize(20, 10);
this.factory = new KMeansClusterFactory(settings, this.size);
}
private Point MapPoint(Point point, IntSize originalSize)
{
return new Point(point.X / originalSize.Width * this.ClientSize.Width, point.Y / originalSize.Height * this.ClientSize.Height, 0);
}
public DepthDataFrameRepository(IntSize frameSize)
{
this.frameSize = frameSize;
}
public void Setup()
{
this.size = new IntSize(20, 10);
this.filter = new ImageFrameDepthPointFilter(this.size, 500, 700, 0);
}
public DepthDataFrame(IntSize size, ushort[] data)
{
this.data = data;
this.size = size;
}
public DepthFrameEntity(IntSize size, ushort[] data)
{
this.data = data;
this.size = size;
}
public void Setup()
{
this.size = new IntSize(20, 10);
this.filter = new PointerDepthPointFilter(size, 500, 800, 0);
}
public HandDataFactory(IntSize size)
: this(size, new ClusterDataSourceSettings(), new ShapeDataSourceSettings(), new HandDataSourceSettings())
{ }
public DepthDataFrameRepository(IntSize frameSize)
{
this.frameSize = frameSize;
}
public DepthDataFrame(IntSize size, ushort[] data)
{
this.data = data;
this.size = size;
}
public HandDataFactory(IKinectSensor sensor, IntSize size, ClusterDataSourceSettings clusteringSettings, ShapeDataSourceSettings shapeSettings, HandDataSourceSettings handSettings)
: this(size, clusteringSettings, shapeSettings, handSettings)
{
this.sdkFilter = new ImageFrameDepthPointFilter(sensor, size, this.clusteringSettings.MinimumDepthThreshold, this.clusteringSettings.MaximumDepthThreshold, this.clusteringSettings.LowerBorder);
}
