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# Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics import Explorer
from ultralytics.utils import ASSETS
import PIL
def test_similarity():
"""Test similarity calculations and SQL queries for correctness and response length."""
exp = Explorer()
exp.create_embeddings_table()
similar = exp.get_similar(idx=1)
assert len(similar) == 25
similar = exp.get_similar(img=ASSETS / "zidane.jpg")
assert len(similar) == 25
similar = exp.get_similar(idx=[1, 2], limit=10)
assert len(similar) == 10
sim_idx = exp.similarity_index()
assert len(sim_idx) > 0
sql = exp.sql_query("WHERE labels LIKE '%person%'")
assert len(sql) > 0
def test_det():
"""Test detection functionalities and ensure the embedding table has 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)
def test_seg():
"""Test segmentation functionalities and verify the embedding table includes 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)
def test_pose():
"""Test pose estimation functionalities and check the embedding table for 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)