tracktable.domain.feature_vectors module

Module contents

tracktable.domain.feature_vectors.convert_to_feature_vector(coords)

Package up a list of numbers as a feature vector

Conceptually, a feature vector is just a list of numbers. However, in Tracktable, the functions that work with feature vectors (DBSCAN and the R-tree) expect specific data structures in order to go back and forth between Python and C++. Specifically, this data structure is a tracktable.domain.feature_vectors.POINT_TYPES[NN], where NN is the number of values. Right now NN can be no greater than 30.

The function convert_to_feature_vector() takes a list or tuple of numeric values and packages them up in that data structure. It does not change or reorder the values in any way.

Parameters

coords (list or tuple of numbers) – Sequence of feature values

Returns

Input values bundled up in a FeatureVectorNN data structure as

described above

Note

In the future, it would be great if the user never had to care about this function – feature vectors would get automatically instantiated when the R-tree is built or DBSCAN is invoked.