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The cosine similarity calculation is guarded by: if not np.any(np.linalg.norm(velocities, axis=1)) This enters the block when ALL velocity norms are zero, then divides by those zero norms. The condition should check that all norms are non-zero before computing cosine similarity: if np.all(np.linalg.norm(velocities, axis=1)) Also fixes debug log that shows average_velocity[0] for both x and y velocity components (second should be average_velocity[1]). |
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| .. | ||
| autotrack.py | ||
| onvif.py | ||