39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import numpy as np
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import pytest
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import supervision as sv
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@pytest.mark.parametrize(
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"detections, expected_results",
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[
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(
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[
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sv.Detections(
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xyxy=np.array([[10, 10, 20, 20], [30, 30, 40, 40]]),
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class_id=np.array([1, 1]),
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confidence=np.array([1, 1]),
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),
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sv.Detections(
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xyxy=np.array([[10, 10, 20, 20], [30, 30, 40, 40]]),
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class_id=np.array([1, 1]),
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confidence=np.array([1, 1]),
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),
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],
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sv.Detections(
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xyxy=np.array([[10, 10, 20, 20], [30, 30, 40, 40]]),
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class_id=np.array([1, 1]),
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confidence=np.array([1, 1]),
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tracker_id=np.array([1, 2]),
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),
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),
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],
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)
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def test_byte_tracker(
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detections: list[sv.Detections],
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expected_results: sv.Detections,
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) -> None:
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byte_tracker = sv.ByteTrack()
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tracked_detections = [byte_tracker.update_with_detections(d) for d in detections]
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assert tracked_detections[-1] == expected_results
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