void ITemplate.Initialize(Feature[] features, Size size, string classLabel)
{
this.Features = features;
this.Size = size;
this.ClassLabel = classLabel;
}
// -----------------------
// Public Constructors
// -----------------------
/// <summary>
/// Rectangle Constructor
/// </summary>
///
/// <remarks>
/// Creates a Rectangle from Point and Size values.
/// </remarks>
public Rectangle(Point location, Size size)
{
x = location.X;
y = location.Y;
width = size.Width;
height = size.Height;
}
/// <summary>
/// Inflate Method
/// </summary>
///
/// <remarks>
/// Inflates the Rectangle by a specified Size.
/// </remarks>
public void Inflate(Size size)
{
x -= size.Width;
y -= size.Height;
Width += size.Width * 2;
Height += size.Height * 2;
}
public static Size Subtract(Size sz1, Size sz2)
{
return new Size (sz1.Width - sz2.Width,
sz1.Height - sz2.Height);
}
public static Size Add(Size sz1, Size sz2)
{
return new Size (sz1.Width + sz2.Width,
sz1.Height + sz2.Height);
}
/// <summary>
/// Creates template from the input image by using provided parameters.
/// </summary>
/// <param name="orientation">Orientation image.</param>
/// <param name="maxNumberOfFeatures">Maximum number of features per template. The features will be extracted so that their locations are semi-uniformly spread.</param>
/// <param name="classLabel">Template class label.</param>
/// <param name="featureImportanceFunc">Function which returns feature's strength.</param>
public void Initialize(Image<Gray, int> orientation, int maxNumberOfFeatures, string classLabel, Func<Feature, int> featureImportanceFunc = null)
{
maxNumberOfFeatures = System.Math.Max(0, System.Math.Min(maxNumberOfFeatures, GlobalParameters.MAX_NUM_OF_FEATURES));
featureImportanceFunc = (featureImportanceFunc != null) ? featureImportanceFunc: (feature) => 0;
Image<Gray, Byte> importantQuantizedOrient = FeatureMap.Calculate(orientation, 0);
List<Feature> features = ExtractTemplate(importantQuantizedOrient, maxNumberOfFeatures, featureImportanceFunc);
BoundingRect = GetBoundingRectangle(features);
//if (boundingRect.X == 1 && boundingRect.Y == 1 && boundingRect.Width == 18)
// Console.WriteLine();
for (int i = 0; i < features.Count; i++)
{
features[i].X -= BoundingRect.X;
features[i].Y -= BoundingRect.Y;
//if(features[i].X < 0 || features[i].Y < 0)
// Console.WriteLine();
//PATCH!!!
features[i].X = System.Math.Max(0, features[i].X);
features[i].Y = System.Math.Max(0, features[i].Y);
}
this.Features = features.ToArray();
this.Size = BoundingRect.Size;
this.ClassLabel = classLabel;
}
private static Rectangle createRect(PointF centerPoint, Size size, Size frameSize)
{
return new Rectangle((int)centerPoint.X - size.Width / 2, (int)centerPoint.Y - size.Height / 2, size.Width, size.Height).Intersect(frameSize);
}
private static void filterPartialShownObjects(ref List<Match> matches, Size originalImageSize)
{
List<Match> filteredMatches = new List<Match>();
foreach (Match m in matches)
{
Rectangle mRect = new Rectangle(m.X, m.Y, m.Template.Size.Width, m.Template.Size.Height);
if (!(mRect.Right > originalImageSize.Width))
filteredMatches.Add(m);
}
matches = filteredMatches;
}