|
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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