Modify assign2D to exploit NumPy indexing #709
Merged
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Previously this used iteration rather than indexing. By changing to using indexing and vectorising some calculations, gives a performance benefit for large number of tracks/detections.
Performance difference isn't noticeable on a small cost matrix, but testing on a
(1988, 4808)
cost matrix results in identical output with ~50x to 60x speed up.