/// <summary>
/// Adds the raw values of the two confusion matrices together.
/// </summary>
/// <param name="lhs">The first matrix</param>
/// <param name="rhs">The second matrix</param>
/// <returns>A new matrix with the sums of the values of the two matrices</returns>
public static ConfusionMatrix Add(ConfusionMatrix lhs, ConfusionMatrix rhs)
{
if (lhs._size != rhs._size)
{
throw new ArgumentException("Matrixes must be the same size");
}
int size = lhs._size;
ConfusionMatrix result = new ConfusionMatrix(size);
for (int r = 0; r < size; r++)
{
for (int c = 0; c < size; c++)
{
result._matrix[r, c] = lhs._matrix[r, c] + rhs._matrix[r, c];
}
}
result.computeAccuracies();
return(result);
}
/// <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);
}
}
}