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