public static List <MultipartiteWeightedMatch> computeAssociations <T>(List <List <T> > boundingBoxes, ComputeSimilarityFunction <T> similarity)
{
MultipartiteWeightTensor t = computeSimilarityTensor <T>(boundingBoxes, similarity);
MultipartiteWeightedMatching.GreedyMean matching = new MultipartiteWeightedMatching.GreedyMean();
List <MultipartiteWeightedMatch> ret = matching.getMatching(t);
return(ret);
}
public static List <MultipartiteWeightedMatch> computeGenericPolygonAssociations(List <List <Segment> > polygons)
{
MultipartiteWeightTensor t = computeSimilarityTensor(polygons);
MultipartiteWeightedMatching.GreedyMean matching = new MultipartiteWeightedMatching.GreedyMean();
List <MultipartiteWeightedMatch> ret = matching.getMatching(t);
return(ret);
}
public static List <MultipartiteWeightedMatch> computeBoundingBoxAssociations(List <List <BoundingBox> > boundingBoxes)
{
MultipartiteWeightTensor t = computeSimilarityTensor(boundingBoxes);
MultipartiteWeightedMatching.GreedyMean matching = new MultipartiteWeightedMatching.GreedyMean();
List <MultipartiteWeightedMatch> ret = matching.getMatching(t);
return(ret);
}
public static List <MultipartiteWeightedMatch> AssociateTracklets(List <MultiObjectTrackingResult> compressedResults)
{
// multipartitie weighted matching
// multipartite matching to cluster tracks
CompressedTrackSimilarityMetric.ICompressedTrackSimilarityMetric metric = new CompressedTrackSimilarityMetric.TubeletIoU();
MultipartiteWeightedMatching.GreedyMean mwmg = new MultipartiteWeightedMatching.GreedyMean();
MultipartiteWeightTensor weightTensor = CompressedTrackSimilarityMetric.computeTrackSimilarityTensor(compressedResults, metric);
List <MultipartiteWeightedMatch> association = mwmg.getMatching(weightTensor);
return(association);
}