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# Ultralytics YOLO 🚀, AGPL-3.0 license
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import PIL
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import pytest
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from ultralytics import Explorer
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from ultralytics.utils import ASSETS
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from ultralytics.utils.torch_utils import TORCH_1_13
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@pytest.mark.slow
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@pytest.mark.skipif(not TORCH_1_13, reason="Explorer requires torch>=1.13")
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def test_similarity():
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"""Test the correctness and response length of similarity calculations and SQL queries in the Explorer."""
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exp = Explorer(data="coco8.yaml")
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exp.create_embeddings_table()
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similar = exp.get_similar(idx=1)
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assert len(similar) == 4
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similar = exp.get_similar(img=ASSETS / "bus.jpg")
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assert len(similar) == 4
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similar = exp.get_similar(idx=[1, 2], limit=2)
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assert len(similar) == 2
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sim_idx = exp.similarity_index()
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assert len(sim_idx) == 4
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sql = exp.sql_query("WHERE labels LIKE '%zebra%'")
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assert len(sql) == 1
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@pytest.mark.slow
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@pytest.mark.skipif(not TORCH_1_13, reason="Explorer requires torch>=1.13")
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def test_det():
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"""Test detection functionalities and verify embedding table includes bounding boxes."""
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exp = Explorer(data="coco8.yaml", model="yolov8n.pt")
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exp.create_embeddings_table(force=True)
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assert len(exp.table.head()["bboxes"]) > 0
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similar = exp.get_similar(idx=[1, 2], limit=10)
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assert len(similar) > 0
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# This is a loose test, just checks errors not correctness
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similar = exp.plot_similar(idx=[1, 2], limit=10)
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assert isinstance(similar, PIL.Image.Image)
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@pytest.mark.slow
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@pytest.mark.skipif(not TORCH_1_13, reason="Explorer requires torch>=1.13")
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def test_seg():
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"""Test segmentation functionalities and ensure the embedding table includes segmentation masks."""
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exp = Explorer(data="coco8-seg.yaml", model="yolov8n-seg.pt")
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exp.create_embeddings_table(force=True)
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assert len(exp.table.head()["masks"]) > 0
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similar = exp.get_similar(idx=[1, 2], limit=10)
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assert len(similar) > 0
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similar = exp.plot_similar(idx=[1, 2], limit=10)
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assert isinstance(similar, PIL.Image.Image)
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@pytest.mark.slow
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@pytest.mark.skipif(not TORCH_1_13, reason="Explorer requires torch>=1.13")
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def test_pose():
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"""Test pose estimation functionality and verify the embedding table includes keypoints."""
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exp = Explorer(data="coco8-pose.yaml", model="yolov8n-pose.pt")
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exp.create_embeddings_table(force=True)
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assert len(exp.table.head()["keypoints"]) > 0
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similar = exp.get_similar(idx=[1, 2], limit=10)
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assert len(similar) > 0
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similar = exp.plot_similar(idx=[1, 2], limit=10)
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assert isinstance(similar, PIL.Image.Image)
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