Acts::AmbiguityNetworkConcept Concept Reference

Concept for the ambiguity network used in the ambiguity resolution. More...

#include <Acts/AmbiguityResolution/AmbiguityNetworkConcept.hpp>

Concept definition

template<typename network_t>
concept Acts::AmbiguityNetworkConcept =  requires(
    TrackContainer<VectorTrackContainer, VectorMultiTrajectory,
                   detail::ValueHolder> &tracks,
    std::unordered_map<std::size_t, std::vector<std::size_t>> &clusters,
    std::vector<std::vector<float>> &outputTensor, const char *modelPath,
    network_t &n) {
  { network_t(modelPath) } -> std::same_as<network_t>;
 
  {
    n.inferScores(clusters, tracks)
  } -> std::same_as<std::vector<std::vector<float>>>;
  {
    n.trackSelection(clusters, outputTensor)
  } -> std::same_as<std::vector<std::size_t>>;
}

Detailed Description

Concept for the ambiguity network used in the ambiguity resolution.

The ambiguity network correspond to the AmbiguityTrackClassifier found in the Onnx plugin. It is used to score the tracks and select the best ones.

The constructor of the Ambiguity Solver network should take string as input corresponding to the path of the ONNX model. The implementation of the Ambiguity Solver network should have two methods:

• inferScores: takes clusters (a list of track ID associated with a cluster ID) and the track container and return an outputTensor (list of scores for each track in the clusters).
• trackSelection: Takes clusters and the output tensor from the inferScores method and return the list of track ID to keep.

Template Parameters

N	the type of the network