/// <summary>
/// Computes a histogram for all trees from the provided image.
/// </summary>
/// <param name="forest">The forest used for the computation</param>
/// <param name="image">Image to classify</param>
/// <returns>The histogram</returns>
public static TreeHistogram ComputeHistogram <T>(this DecisionForest <ImageDataPoint <T>, T[]> forest, IMultichannelImage <T> image)
{
int rows = image.Rows;
int columns = image.Columns;
List <ImageDataPoint <T> > points = new List <ImageDataPoint <T> >();
for (short r = 0; r < rows; r++)
{
for (short c = 0; c < columns; c++)
{
points.Add(new ImageDataPoint <T>(image, r, c, -1));
}
}
return(forest.ComputeHistogram(points));
}
/// <summary>
/// Computes a histogram for all trees from the provided image.
/// </summary>
/// <param name="forest">The forest used for the computation</param>
/// <param name="image">Image to classify</param>
/// <returns>The histogram</returns>
public static TreeHistogram ComputeHistogram <T>(this DecisionForest <ImageDataPoint <T>, T[]> forest, LabeledImage <T> image)
{
return(forest.ComputeHistogram(image.CreateAllDataPoints(BackgroundSampleMode.Full)));
}