public WriteableBitmap ToWriteableBitmap()
{
using (Mat m = this.Mat)
{
return(m.ToWritableBitmap());
}
}
public static WriteableBitmap ToWriteableBitmap <TColor, TDepth>(this Image <TColor, TDepth> image)
where TColor : struct, IColor
where TDepth : new()
{
using (Mat m = image.Mat)
{
return(m.ToWritableBitmap());
}
}
/// <summary>
/// Populates the page with content passed during navigation. Any saved state is also
/// provided when recreating a page from a prior session.
/// </summary>
/// <param name="sender">
/// The source of the event; typically <see cref="NavigationHelper"/>.
/// </param>
/// <param name="e">Event data that provides both the navigation parameter passed to
/// <see cref="Frame.Navigate(Type, Object)"/> when this page was initially requested and
/// a dictionary of state preserved by this page during an earlier
/// session. The state will be null the first time a page is visited.</param>
private async void NavigationHelper_LoadState(object sender, LoadStateEventArgs e)
{
// TODO: Create an appropriate data model for your problem domain to replace the sample data
var item = await SampleDataSource.GetItemAsync((string)e.NavigationParameter);
this.DefaultViewModel["Item"] = item;
if (item.Title.Equals("Run Hello World"))
{
Mat img = new Mat(200, 400, DepthType.Cv8U, 3);
img.SetTo(new MCvScalar(255, 0, 0));
CvInvoke.PutText(img, "Hello world.", new System.Drawing.Point(10, 80), FontFace.HersheyComplex, 1.0, new MCvScalar(0, 255, 0));
ImageView.Source = img.ToWritableBitmap();
} else if (item.Title.Equals("Run Planar Subdivision"))
{
Mat img = PlanarSubdivisionExample.DrawSubdivision.Draw(400, 30);
ImageView.Source = img.ToWritableBitmap();
} else if (item.Title.Equals("Run Face Detection"))
{
Mat img = await LoadImage(@"Assets\Images\lena.jpg");
List<Rectangle> faces = new List<Rectangle>();
List<Rectangle> eyes = new List<Rectangle>();
long detectionTime;
FaceDetection.DetectFace.Detect(img, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
faces, eyes, false, false, out detectionTime);
foreach (Rectangle face in faces)
CvInvoke.Rectangle(img, face, new Bgr(0, 0, 255).MCvScalar, 2);
foreach (Rectangle eye in eyes)
CvInvoke.Rectangle(img, eye, new Bgr(255, 0, 0).MCvScalar, 2);
ImageView.Source = img.ToWritableBitmap();
} else if (item.Title.Equals("Run Pedestrian Detection"))
{
Mat img = await LoadImage(@"Assets\Images\pedestrian.png");
Mat gray = new Mat();
CvInvoke.CvtColor(img, gray, ColorConversion.Bgr2Gray);
long detectionTime;
Rectangle[] pedestrians = PedestrianDetection.FindPedestrian.Find(gray, false, false, out detectionTime);
foreach (Rectangle pedestrian in pedestrians)
{
CvInvoke.Rectangle(img, pedestrian, new MCvScalar(0, 0, 255) );
}
ImageView.Source = img.ToWritableBitmap();
}
}
