public double CompareSimilarity(FaceEmbeddings emb1, FaceEmbeddings emb2)
{
var mat1 = emb1.CreateMatFromEmbeddings(emb1.Embeddings);
var mat2 = emb2.CreateMatFromEmbeddings(emb2.Embeddings);
// l2 normalize the vectors
for (int i = 0; i < 128; i++)
{
mat1.put(0, i, mat1.get(0, i)[0] / Core.norm(mat1, 4));
}
for (int i = 0; i < 128; i++)
{
mat2.put(0, i, mat2.get(0, i)[0] / Core.norm(mat2, 4));
}
if (mat1 == null || mat2 == null)
{
return(1000.0);
}
var ab = mat1.dot(mat2);
var aMagni = Core.norm(mat1);
var bMagni = Core.norm(mat2);
var cos_sim = ab / (aMagni * bMagni);
mat1.Dispose(); mat2.Dispose();
return(1 - cos_sim);
}
/// <summary>
/// Calculate the euclidean distance between 2 FaceEmbeddings objects.
/// </summary>
/// <param name="emb1"></param>
/// <param name="emb2"></param>
/// <returns> double </returns>
public double CompareEmbeddings(FaceEmbeddings emb1, FaceEmbeddings emb2)
{
var mat1 = emb1.CreateMatFromEmbeddings(emb1.Embeddings);
var mat2 = emb2.CreateMatFromEmbeddings(emb2.Embeddings);
if (mat1 == null || mat2 == null)
{
return(1000.0);
}
var diff = mat1 - mat2;
var result = diff.dot(diff);
result = Mathf.Sqrt((float)result);
return(result);
}