/// <summary>
/// Compares all the featurevectors in the database with each other.
/// </summary>
/// <param name="size">The size of best number of elements.</param>
/// <returns>A <see cref="QueryResult"/> array which contains the K-best similair
/// matches from the entire database for these entries.</returns>
public QueryResult[] InternalCompare(QuerySize size)
{
ANN HNSW = new ANN(features);
ConcurrentBag <QueryResult> results = new ConcurrentBag <QueryResult>();
Parallel.ForEach(VectorDictionary, pair => {
string name = pair.Key;
FeatureVector vector = pair.Value;
string clazz = Settings.FileManager.ClassByShapeName(name);
int count = QuerySizeToInt(size, clazz);
results.Add(HNSW.RunANNQuery(name, vector, count));
});
return(results.ToArray());
}
/// <summary>
/// Compares the given meshes with all the saved meshes in this <see cref="FeatureManager"/>
/// and returns all the meshes ordered by the similarity.
/// </summary>
/// <param name="meshes">The mesh that should be compared with all other meshes
/// in the database.</param>
/// <returns>A <see cref="QueryResult"/> array which contains the K-best similair
/// matches from the entire database for these entries.</returns>
public QueryResult[] CalculateResults(QuerySize size, IEnumerable <MeshEntry> meshes)
{
if (meshes == null)
{
throw new ArgumentNullException(nameof(meshes));
}
ANN HNSW = new ANN(features);
ConcurrentBag <QueryResult> results = new ConcurrentBag <QueryResult>();
Parallel.ForEach(meshes, entry => {
FeatureVector queryVector = CreateVector(entry);
queryVector = NormaliseVector(queryVector);
int count = QuerySizeToInt(size, entry.Class);
results.Add(HNSW.RunANNQuery(entry.Name,
queryVector,
count));
});
QueryResult[] array = results.ToArray();
Array.Sort(array);
return(array);
}