Examples with SemanticMap org.vitrivr.cineast.core.data.SemanticMap used on opensource projects

Example 1 with SemanticMap

use of org.vitrivr.cineast.core.data.SemanticMap in project cineast by vitrivr.

the class ConceptMasks method getSimilar.

@Override
public List<ScoreElement> getSimilar(SegmentContainer sc, ReadableQueryConfig qc) {
    Optional<SemanticMap> optional = sc.getSemanticMap();
    if (!optional.isPresent()) {
        return Collections.emptyList();
    }
    DeepLabLabel[][] labels = optional.get().getLabels();
    List<DeepLabLabel> list = linearize(labels);
    ArrayList<LinkedList<DeepLabLabel>> partitions = GridPartitioner.partition(list, labels.length, labels[0].length, GRID_PARTITIONS, GRID_PARTITIONS);
    float[] vector = new float[2 * GRID_PARTITIONS * GRID_PARTITIONS];
    float[] weights = new float[2 * GRID_PARTITIONS * GRID_PARTITIONS];
    for (int i = 0; i < GRID_PARTITIONS * GRID_PARTITIONS; ++i) {
        DeepLabLabel dominantLabel = DeepLabLabel.getDominantLabel(partitions.get(i));
        // TODO expose this to the API
        float weight = dominantLabel == DeepLabLabel.NOTHING ? 0f : 1f;
        weights[2 * i] = weight;
        weights[2 * i + 1] = weight;
        vector[2 * i] = dominantLabel.getEmbeddX();
        vector[2 * i + 1] = dominantLabel.getEmbeddY();
    }
    return this.getSimilar(vector, new QueryConfig(qc).setDistanceWeights(weights));
}

Example 2 with SemanticMap

use of org.vitrivr.cineast.core.data.SemanticMap in project cineast by vitrivr.

the class ConceptMasksAde20k method getSimilar.

@Override
public List<ScoreElement> getSimilar(SegmentContainer sc, ReadableQueryConfig qc) {
    Optional<SemanticMap> optional = sc.getSemanticMap();
    if (!optional.isPresent()) {
        return Collections.emptyList();
    }
    DeepLabLabel[][] labels = optional.get().getLabels();
    List<DeepLabLabel> list = linearize(labels);
    ArrayList<LinkedList<DeepLabLabel>> ade20kPartitions = GridPartitioner.partition(list, labels.length, labels[0].length, GRID_PARTITIONS, GRID_PARTITIONS);
    float[] vector = new float[2 * GRID_PARTITIONS * GRID_PARTITIONS];
    float[] weights = new float[2 * GRID_PARTITIONS * GRID_PARTITIONS];
    for (int i = 0; i < GRID_PARTITIONS * GRID_PARTITIONS; ++i) {
        DeepLabLabel dominantLabel = DeepLabLabel.getDominantLabel(ade20kPartitions.get(i));
        // TODO expose this to the API
        float weight = dominantLabel == DeepLabLabel.NOTHING ? 0f : 1f;
        weights[2 * i] = weight;
        weights[2 * i + 1] = weight;
        vector[2 * i] = dominantLabel.getEmbeddX();
        vector[2 * i + 1] = dominantLabel.getEmbeddY();
    }
    return this.getSimilar(vector, new QueryConfig(qc).setDistanceWeights(weights));
}