private void writeFeature(HaarFeatureNode node)
{
writer.Write("new HaarFeatureNode({0}, {1}, {2}, ",
node.Threshold.ToString("R", NumberFormatInfo.InvariantInfo),
node.LeftValue.ToString("R", NumberFormatInfo.InvariantInfo),
node.RightValue.ToString("R", NumberFormatInfo.InvariantInfo));
if (node.Feature.Tilted)
{
writer.Write("true, ");
}
// Write Haar-like rectangular features
for (int k = 0; k < node.Feature.Rectangles.Length; k++)
{
writeRectangle(node.Feature.Rectangles[k]);
if (k < node.Feature.Rectangles.Length - 1)
{
writer.Write(", ");
}
}
writer.Write(" )");
}
/// <summary>
/// Creates a new object that is a copy of the current instance.
/// </summary>
///
/// <returns>
/// A new object that is a copy of this instance.
/// </returns>
///
public object Clone()
{
HaarFeatureNode[][] newTrees = new HaarFeatureNode[Trees.Length][];
for (int i = 0; i < newTrees.Length; i++)
{
HaarFeatureNode[] tree = Trees[i];
HaarFeatureNode[] newTree = newTrees[i] =
new HaarFeatureNode[tree.Length];
for (int j = 0; j < newTree.Length; j++)
{
newTree[j] = (HaarFeatureNode)tree[j].Clone();
}
}
HaarCascadeStage r = new HaarCascadeStage();
r.NextIndex = NextIndex;
r.ParentIndex = ParentIndex;
r.Threshold = Threshold;
r.Trees = newTrees;
return(r);
}
public bool Classify(IntegralImage2 image, int x, int y, double factor)
{
double value = 0;
// For each feature in the feature tree of the current stage,
foreach (HaarFeatureNode[] tree in Trees)
{
int current = 0;
do
{
// Get the feature node from the tree
HaarFeatureNode node = tree[current];
// Evaluate the node's feature
double sum = node.Feature.GetSum(image, x, y);
// And increase the value accumulator
if (sum < node.Threshold * factor)
{
value += node.LeftValue;
current = node.LeftNodeIndex;
}
else
{
value += node.RightValue;
current = node.RightNodeIndex;
}
} while (current > 0);
// Stop early if we have already surpassed the stage threshold value.
//if (value >= this.Threshold)
// return true;
}
// After we have evaluated the output for the
// current stage, we will check if the value
// is still lesser than the stage threshold.
if (value < this.Threshold)
{
// If it is, the stage has rejected the current
// image and it doesn't contains our object.
return(false);
}
else
{
// The stage has accepted the current image
return(true);
}
}
/// <summary>
/// Creates a new object that is a copy of the current instance.
/// </summary>
/// <returns>
/// A new object that is a copy of this instance.
/// </returns>
///
public object Clone()
{
HaarFeatureNode r = new HaarFeatureNode();
r.Feature = (HaarFeature)Feature.Clone();
r.Threshold = Threshold;
r.RightValue = RightValue;
r.LeftValue = LeftValue;
r.LeftNodeIndex = leftNodeIndex;
r.RightNodeIndex = rightNodeIndex;
return(r);
}
private void writeFeature(HaarFeatureNode node)
{
writer.Write("new HaarFeatureNode({0}, {1}, {2}, ",
node.Threshold.ToString("R", NumberFormatInfo.InvariantInfo),
node.LeftValue.ToString("R", NumberFormatInfo.InvariantInfo),
node.RightValue.ToString("R", NumberFormatInfo.InvariantInfo));
if (node.Feature.Tilted)
writer.Write("true, ");
// Write Haar-like rectangular features
for (int k = 0; k < node.Feature.Rectangles.Length; k++)
{
writeRectangle(node.Feature.Rectangles[k]);
if (k < node.Feature.Rectangles.Length - 1)
writer.Write(", ");
}
writer.Write(" )");
}
private void equals(HaarFeatureNode expected, HaarFeatureNode actual)
{
Assert.AreNotEqual(expected, actual);
Assert.AreEqual(expected.LeftNodeIndex, actual.LeftNodeIndex);
Assert.AreEqual(expected.LeftValue, actual.LeftValue);
Assert.AreEqual(expected.RightNodeIndex, actual.RightNodeIndex);
Assert.AreEqual(expected.RightValue, actual.RightValue);
Assert.AreEqual(expected.Threshold, actual.Threshold);
equals(expected.Feature, actual.Feature);
}
/// <summary>
/// Creates a new object that is a copy of the current instance.
/// </summary>
/// <returns>
/// A new object that is a copy of this instance.
/// </returns>
///
public object Clone()
{
HaarFeatureNode r = new HaarFeatureNode();
r.Feature = (HaarFeature)Feature.Clone();
r.Threshold = Threshold;
r.RightValue = RightValue;
r.LeftValue = LeftValue;
r.LeftNodeIndex = leftNodeIndex;
r.RightNodeIndex = rightNodeIndex;
return r;
}
/// <summary>
/// Creates a new object that is a copy of the current instance.
/// </summary>
///
/// <returns>
/// A new object that is a copy of this instance.
/// </returns>
///
public object Clone()
{
HaarFeatureNode[][] newTrees = new HaarFeatureNode[Trees.Length][];
for (int i = 0; i < newTrees.Length; i++)
{
HaarFeatureNode[] tree = Trees[i];
HaarFeatureNode[] newTree = newTrees[i] =
new HaarFeatureNode[tree.Length];
for (int j = 0; j < newTree.Length; j++)
newTree[j] = (HaarFeatureNode)tree[j].Clone();
}
HaarCascadeStage r = new HaarCascadeStage();
r.NextIndex = NextIndex;
r.ParentIndex = ParentIndex;
r.Threshold = Threshold;
r.Trees = newTrees;
return r;
}