| """Scene-graph association: riders link to the motorcycle they overlap.""" |
|
|
| from __future__ import annotations |
|
|
| from core.graph import build_graph |
| from core.schemas import BBox, Detection, DetectionResult, PersonRole |
|
|
|
|
| def _det( |
| label: str, box: tuple[float, float, float, float], conf: float = 0.9 |
| ) -> Detection: |
| return Detection( |
| label=label, |
| bbox=BBox(x1=box[0], y1=box[1], x2=box[2], y2=box[3]), |
| confidence=conf, |
| ) |
|
|
|
|
| def test_rider_associates_to_overlapping_motorcycle() -> None: |
| det = DetectionResult( |
| image_width=200, |
| image_height=200, |
| detections=[ |
| _det("motorcycle", (10, 60, 60, 140)), |
| _det("person", (15, 20, 55, 130)), |
| ], |
| ) |
| g = build_graph("img1", det) |
| assert len(g.vehicles) == 1 |
| riders = g.riders_of(g.vehicles[0].id) |
| assert len(riders) == 1 |
| assert riders[0].role == PersonRole.rider |
|
|
|
|
| def test_far_person_is_pedestrian() -> None: |
| det = DetectionResult( |
| image_width=400, |
| image_height=200, |
| detections=[ |
| _det("motorcycle", (10, 60, 60, 140)), |
| _det("person", (300, 20, 340, 120)), |
| ], |
| ) |
| g = build_graph("img2", det) |
| assert g.riders_of(g.vehicles[0].id) == [] |
| assert g.persons[0].role == PersonRole.pedestrian |
|
|
|
|
| def test_three_riders_link_to_one_bike() -> None: |
| det = DetectionResult( |
| image_width=200, |
| image_height=200, |
| detections=[ |
| _det("motorcycle", (10, 60, 90, 150)), |
| _det("person", (15, 20, 45, 130)), |
| _det("person", (40, 20, 70, 130)), |
| _det("person", (60, 20, 90, 130)), |
| ], |
| ) |
| g = build_graph("img3", det) |
| assert len(g.riders_of(g.vehicles[0].id)) == 3 |
|
|
