|
16 | 16 |
|
17 | 17 |
|
18 | 18 | @pytest.mark.parametrize(
|
19 |
| - "data", |
| 19 | + "detector_data", |
20 | 20 | [
|
21 | 21 | ("superanimal_bird", ["ssdlite"]),
|
22 | 22 | ("superanimal_topviewmouse", ["fasterrcnn_resnet50_fpn_v2"]),
|
23 | 23 | ("superanimal_quadruped", ["fasterrcnn_resnet50_fpn_v2"]),
|
24 |
| - ("superanimal_humanbody", ["rtmpose_x"]), |
25 | 24 | ]
|
26 | 25 | )
|
27 |
| -def test_get_super_animal_detectors(data: tuple[str, list[str]]): |
28 |
| - dataset, expected_detectors = data |
| 26 | +def test_get_super_animal_detectors(detector_data: tuple[str, list[str]]): |
| 27 | + dataset, expected_detectors = detector_data |
29 | 28 | detectors = modelzoo.get_available_detectors(dataset)
|
30 | 29 | assert len(detectors) >= len(expected_detectors)
|
31 | 30 | for det in expected_detectors:
|
32 | 31 | assert det in detectors
|
33 | 32 |
|
34 | 33 |
|
35 | 34 | @pytest.mark.parametrize(
|
36 |
| - "data", |
| 35 | + "posemodel_data", |
37 | 36 | [
|
38 | 37 | ("superanimal_bird", ["resnet_50"]),
|
39 | 38 | ("superanimal_topviewmouse", ["hrnet_w32"]),
|
40 | 39 | ("superanimal_quadruped", ["hrnet_w32"]),
|
| 40 | + ("superanimal_humanbody", ["rtmpose_x"]), |
41 | 41 | ]
|
42 | 42 | )
|
43 |
| -def test_get_super_animal_pose_models(data: tuple[str, list[str]]): |
44 |
| - dataset, expected_pose_models = data |
| 43 | +def test_get_super_animal_pose_models(posemodel_data: tuple[str, list[str]]): |
| 44 | + dataset, expected_pose_models = posemodel_data |
45 | 45 | pose_models = modelzoo.get_available_models(dataset)
|
46 | 46 | assert len(pose_models) >= len(expected_pose_models)
|
47 | 47 | for pose_model in expected_pose_models:
|
48 |
| - assert pose_model in pose_models |
| 48 | + assert pose_model in pose_models |
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