public FormGroupMatch()
{
InitializeComponent();
debugImage = new Image<Bgr, byte>(pictureBox.Size.ToSize());
var detections = getDetections();
drawDetections(detections, Bgr8.Red, 3);
groupMatching = new RectangleGroupMatching(minimumNeighbors: 1, threshold: 0.3);
var clusters = groupMatching.Group(detections);
drawDetections(clusters.Select(x => x.Representative), Bgr8.Green, 1);
pictureBox.Image = debugImage.ToBitmap();
}
public FormGroupMatch()
{
InitializeComponent();
debugImage = new Image <Bgr, byte>(pictureBox.Size.ToSize());
var detections = getDetections();
drawDetections(detections, Bgr8.Red, 3);
groupMatching = new RectangleGroupMatching(minimumNeighbors: 1, threshold: 0.3);
var clusters = groupMatching.Group(detections);
drawDetections(clusters.Select(x => x.Representative), Bgr8.Green, 1);
pictureBox.Image = debugImage.ToBitmap();
}
/// <summary>
/// Constructs a new Haar object detector.
/// </summary>
///
/// <param name="cascade">
/// The <see cref="HaarCascade"/> to use in the detector's classifier.
/// For the default face cascade, please take a look on
/// <see cref="Cascades.FaceHaarCascade"/>. </param>
/// <param name="minSize">
/// Minimum window size to consider when searching for
/// objects. Default value is <c>15</c>.</param>
/// <param name="searchMode">The <see cref="ObjectDetectorSearchMode"/> to use
/// during search. Please see documentation of <see cref="ObjectDetectorSearchMode"/>
/// for details. Default is <see cref="ObjectDetectorSearchMode.NoOverlap"/>.</param>
/// <param name="scaleFactor">The scaling factor to rescale the window
/// during search. Default value is <c>1.2f</c>.</param>
/// <param name="scalingMode">The <see cref="ObjectDetectorScalingMode"/> to use
/// when re-scaling the search window during search. Default is
/// <see cref="ObjectDetectorScalingMode.SmallerToGreater"/>.</param>
///
public HaarObjectDetector(HaarCascade cascade, int minSize,
ObjectDetectorSearchMode searchMode, float scaleFactor,
ObjectDetectorScalingMode scalingMode)
{
this.classifier = new HaarClassifier(cascade);
this.minSize = new Size(minSize, minSize);
this.searchMode = searchMode;
this.ScalingMode = scalingMode;
this.factor = scaleFactor;
this.detectedObjects = new List<Rectangle>();
this.baseWidth = cascade.Width;
this.baseHeight = cascade.Height;
this.match = new RectangleGroupMatching(0, 0.2);
}
private static bool areMatchesNear(Match m1, Match m2, double threshold)
{
return(RectangleGroupMatching.AreRectanglesNear(m1.BoundingRect, m2.BoundingRect, threshold));
}
