src.tests.min_dist_decimator_test

Classes

MinDistDecimatorTest()

class src.tests.min_dist_decimator_test.MinDistDecimatorTest
Author:

Alberto M. Esmoris Pena

Minimum distance decimator test that checks the minimum distance decimated representation of point clouds is correctly computed.

__init__()

Basic configuration for any VL3D test.

Parameters:

name (str) – Test name

run()

Run minimum distance decimator test.

Returns:

True if the minimum distance decimator works as expected for the test cases, False otherwise.

Return type:

bool

static validate_decimator(mdd, min_distance, X, F, y, eF, ey)

Check whether the given MinDistDecimatorDecorator yields the expected output.

Parameters:

  • mdd (MinDistDecimatorDecorator) – The MinDistDecimatorDecorator to be validated.

  • min_distance (float) – The minimum distance parameter.

  • X (np.ndarray) – The input structure space matrix (i.e., matrix of point-wise coordinates).

  • F (np.ndarray) – The feature space matrix (i.e., matrix of point-wise features).

  • y (np.ndarray) – The input vector of point-wise classes.

  • eF (np.ndarray) – The expected feature space after decimation.

  • ey (np.ndarray) – The expected point-wise classes after decimation.

Returns:

True if the MinDistDecimatorDecorator yielded the expected output, False otherwise.

Return type:

bool