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| import numpy as np | |
| from boxmot.postprocessing.gsi import gaussian_smooth, linear_interpolation | |
| def test_gsi(): | |
| tracking_results = np.array([ | |
| [1, 1, 1475, 419, 75, 169, 0, 0, -1], | |
| [2, 1, 1475, 419, 75, 169, 0, 0, -1], | |
| [4, 1, 1475, 419, 75, 169, 0, 0, -1], | |
| [6, 1, 1475, 419, 75, 169, 0, 0, -1] | |
| ]) | |
| li = linear_interpolation(tracking_results, interval=20) | |
| gsi = gaussian_smooth(li, tau=10) | |
| assert len(gsi) == 6 |