/// <summary>
/// Computes a confusion matrix using the soft values from the distributions in <paramref name="inferredLabels"/> based upon the ground truth
/// pixel labels in <paramref name="groundTruth"/>, and adds them to <paramref name="matrix"/>.
/// </summary>
/// <param name="matrix">Matrix to add the confusion values of this image to</param>
/// <param name="groundTruth">The ground truth labels of the image</param>
/// <param name="inferredLabels">The inferred labels of the image</param>
public static unsafe void ComputeConfusionMatrix(ConfusionMatrix matrix, LabelImage groundTruth, DistributionImage inferredLabels)
{
int rows = groundTruth.Rows;
int columns = groundTruth.Columns;
int channels = inferredLabels.Channels;
fixed(short *labelsSrc = groundTruth.RawArray)
{
fixed(float *distSrc = inferredLabels.RawArray)
{
short *labelsPtr = labelsSrc;
float *distPtr = distSrc;
for (int r = 0; r < rows; r++)
{
for (int c = 0; c < columns; c++, labelsPtr++)
{
short trueLabel = *labelsPtr;
for (short i = 0; i < channels; i++, distPtr++)
{
matrix.Add(trueLabel, i, *distPtr);
}
}
}
}
}
}
/// <summary>
/// Computes a confusion matrix from <paramref name="inferredLabels"/> using <paramref name="trueLabels"/> as a reference, and adds
/// the information into <paramref name="matrix"/>.
/// </summary>
/// <param name="matrix">The matrix that will hold the results</param>
/// <param name="trueLabels">The true labels of an image</param>
/// <param name="inferredLabels">The inferred labels of an image</param>
public static unsafe void ComputeConfusionMatrix(ConfusionMatrix matrix, LabelImage trueLabels, LabelImage inferredLabels)
{
fixed(short *trueLabelsSrc = trueLabels.RawArray, inferredLabelsSrc = inferredLabels.RawArray)
{
short *trueLabelsPtr = trueLabelsSrc;
short *inferredLabelsPtr = inferredLabelsSrc;
int count = trueLabels.Rows * trueLabels.Columns;
while (count-- > 0)
{
short row = *trueLabelsPtr++;
short column = *inferredLabelsPtr++;
if (row == BackgroundLabel)
{
continue;
}
matrix.Add(row, column);
}
}
}
