public void PointsMarkerTest1()
{
IEnumerable <FastRetinaKeypoint> points = new FastRetinaKeypoint[]
{
new FastRetinaKeypoint(1, 2),
new FastRetinaKeypoint(3, 4),
};
var marker = new PointsMarker(points);
double[,] m = Matrix.Zeros(5, 5);
Bitmap bmp = m.ToBitmap();
marker.ApplyInPlace(bmp);
double[,] actual = bmp.ToMatrix(0);
double[,] expected =
{
{ 0, 0, 0, 0, 0 },
{ 1, 1, 1, 0, 0 },
{ 1, 1, 1, 0, 0 },
{ 1, 1, 1, 1, 1 },
{ 0, 0, 1, 1, 1 },
};
Assert.AreEqual(expected, actual);
}
public void blobcounter_test()
{
string basePath = Path.Combine(NUnit.Framework.TestContext.CurrentContext.TestDirectory, "Resources");
#region doc_process
// Load an example image containing blobs (such the sample from the Blob Detection sample applications)
// https://github.com/accord-net/framework/raw/development/Samples/Imaging/Detection%20(Blobs)/demo.png
Bitmap image = Accord.Imaging.Image.FromFile(Path.Combine(basePath, "blob-input.png"));
// Creeate a new blob counter object
var blobCounter = new BlobCounter();
// Process the image looking for blobs
blobCounter.ProcessImage(image);
// Get information about all the image blobs found:
Blob[] blobs = blobCounter.GetObjectsInformation();
// Prepare to extract their Convex Hull
var grahamScan = new GrahamConvexHull();
var colors = new ColorSequenceCollection();
// For each blob in the image
for (int i = 0; i < blobs.Length; i++)
{
// Get the blob
Blob blob = blobs[i];
// Collect edge points
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blob);
// Find convex hull
List <IntPoint> hull = grahamScan.FindHull(edgePoints);
// Prepare to mark the hull in the image
var marker = new PointsMarker(colors[i])
{
Points = hull,
Connect = true // connect the points with line segments
};
// Draw the hull lines
marker.ApplyInPlace(image);
}
// Save the image to disk
image.Save(Path.Combine(basePath, "test.png"));
#endregion
Assert.AreEqual(25, blobs.Length);
}
private static void show(Bitmap hand, List <IntPoint> contour, List <IntPoint> peaks, List <IntPoint> supports)
{
PointsMarker cmarker = new PointsMarker(contour, Color.White, 1);
cmarker.ApplyInPlace(hand);
PointsMarker pmarker = new PointsMarker(peaks, Color.Green, 5);
pmarker.ApplyInPlace(hand);
PointsMarker hmarker = new PointsMarker(supports, Color.Yellow, 5);
hmarker.ApplyInPlace(hand);
ImageBox.Show(hand, PictureBoxSizeMode.Zoom);
}
// New frame received by the player
private void videoSourcePlayer_NewFrame(object sender, ref Bitmap image)
{
lock (this)
{
if (tracker == null)
{
return;
}
if (form != null && !form.IsDisposed)
{
form.Image = image;
}
BitmapData data = image.LockBits(new Rectangle(0, 0, image.Width, image.Height),
ImageLockMode.ReadWrite, image.PixelFormat);
UnmanagedImage img = new UnmanagedImage(data);
tracker.ComputeOrientation = showAngle;
tracker.ProcessFrame(img);
Rectangle rect = tracker.TrackingObject.Rectangle;
UnmanagedImage hand = tracker.TrackingObject.Image;
if (hand != null && (showContour || showFingertips))
{
UnmanagedImage grayhand = Grayscale.CommonAlgorithms.BT709.Apply(hand);
blur.ApplyInPlace(grayhand);
List <IntPoint> contour = bf.FindContour(grayhand);
for (int i = 0; i < contour.Count; i++)
{
contour[i] += new IntPoint(rect.X, rect.Y);
}
List <IntPoint> peaks = kcurv.FindPeaks(contour);
if (showContour)
{
cmarker.Points = contour;
cmarker.ApplyInPlace(img);
}
if (showFingertips)
{
pmarker.Points = peaks;
pmarker.ApplyInPlace(img);
}
}
if (showRectangle)
{
RectanglesMarker marker = new RectanglesMarker(rect);
marker.ApplyInPlace(img);
}
if (showAngle)
{
LineSegment axis = tracker.TrackingObject.GetAxis(AxisOrientation.Vertical);
if (axis != null)
{
// Draw X axis
Drawing.Line(img, axis.Start.Round(), axis.End.Round(), Color.Red);
}
}
image.UnlockBits(data);
}
}