Examples with ScoreAssociateEuclidean_F64 boofcv.abst.feature.associate.ScoreAssociateEuclidean_F64 used on opensource projects

Example 1 with ScoreAssociateEuclidean_F64

use of boofcv.abst.feature.associate.ScoreAssociateEuclidean_F64 in project BoofCV by lessthanoptimal.

the class TestAssociateGreedyBruteForce2D_MT method compare.

void compare(boolean backwards, double ratioTest) {
    DogArray<TupleDesc_F64> descSrc = createData(200);
    DogArray<TupleDesc_F64> descDst = createData(200);
    DogArray<Point2D_F64> pointsSrc = createPoints(200);
    DogArray<Point2D_F64> pointsDst = createPoints(200);
    var distance = new AssociateImageDistanceEuclideanSq();
    var sequentialAlg = new AssociateGreedyBruteForce2D<>(new ScoreAssociateEuclidean_F64(), distance);
    sequentialAlg.init(width, height);
    sequentialAlg.maxDistanceLength.setTo(ConfigLength.relative(0.25, 6));
    sequentialAlg.backwardsValidation = backwards;
    sequentialAlg.setRatioTest(ratioTest);
    sequentialAlg.setMaxFitError(0.5);
    sequentialAlg.setSource(pointsSrc, descSrc);
    sequentialAlg.setDestination(pointsDst, descDst);
    sequentialAlg.associate();
    var parallelAlg = new AssociateGreedyBruteForce2D_MT<>(new ScoreAssociateEuclidean_F64(), distance);
    parallelAlg.init(width, height);
    parallelAlg.maxDistanceLength.setTo(ConfigLength.relative(0.25, 6));
    parallelAlg.backwardsValidation = backwards;
    parallelAlg.setRatioTest(ratioTest);
    parallelAlg.setMaxFitError(0.5);
    parallelAlg.setSource(pointsSrc, descSrc);
    parallelAlg.setDestination(pointsDst, descDst);
    parallelAlg.associate();
    int[] pairs0 = sequentialAlg.getPairs().data;
    int[] pairs1 = parallelAlg.getPairs().data;
    double[] quality0 = sequentialAlg.getFitQuality().data;
    double[] quality1 = parallelAlg.getFitQuality().data;
    assertEquals(pairs0.length, pairs1.length);
    for (int i = 0; i < pairs0.length; i++) {
        assertEquals(pairs0[i], pairs1[i]);
        assertEquals(quality0[i], quality1[i]);
    }
}

Example 2 with ScoreAssociateEuclidean_F64

use of boofcv.abst.feature.associate.ScoreAssociateEuclidean_F64 in project BoofCV by lessthanoptimal.

the class TestAssociateGreedyDesc_MT method compare.

void compare(boolean backwards, double ratioTest) {
    DogArray<TupleDesc_F64> a = createData(200);
    DogArray<TupleDesc_F64> b = createData(200);
    AssociateGreedyDesc<TupleDesc_F64> sequentialAlg = new AssociateGreedyDesc<>(new ScoreAssociateEuclidean_F64());
    sequentialAlg.backwardsValidation = backwards;
    sequentialAlg.setRatioTest(ratioTest);
    sequentialAlg.setMaxFitError(0.5);
    sequentialAlg.associate(a, b);
    AssociateGreedyDesc_MT<TupleDesc_F64> parallelAlg = new AssociateGreedyDesc_MT<>(new ScoreAssociateEuclidean_F64());
    parallelAlg.backwardsValidation = backwards;
    parallelAlg.setRatioTest(ratioTest);
    parallelAlg.setMaxFitError(0.5);
    parallelAlg.associate(a, b);
    int[] pairs0 = sequentialAlg.getPairs().data;
    int[] pairs1 = parallelAlg.getPairs().data;
    double[] quality0 = sequentialAlg.getFitQuality().data;
    double[] quality1 = parallelAlg.getFitQuality().data;
    assertEquals(pairs0.length, pairs1.length);
    for (int i = 0; i < pairs0.length; i++) {
        assertEquals(pairs0[i], pairs1[i]);
        assertEquals(quality0[i], quality1[i]);
    }
}