Add new @Retry() decorator (#7854)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-01-27 20:07:31 +01:00 committed by GitHub
parent 5f00fbd227
commit 1435f0e9de
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9 changed files with 372 additions and 269 deletions

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@ -12,7 +12,7 @@ def test_similarity():
exp.create_embeddings_table()
similar = exp.get_similar(idx=1)
assert len(similar) == 25
similar = exp.get_similar(img=ASSETS / 'zidane.jpg')
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
@ -24,9 +24,9 @@ def test_similarity():
def test_det():
"""Test detection functionalities and ensure the embedding table has bounding boxes."""
exp = Explorer(data='coco8.yaml', model='yolov8n.pt')
exp = Explorer(data="coco8.yaml", model="yolov8n.pt")
exp.create_embeddings_table(force=True)
assert len(exp.table.head()['bboxes']) > 0
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
@ -36,9 +36,9 @@ def test_det():
def test_seg():
"""Test segmentation functionalities and verify the embedding table includes masks."""
exp = Explorer(data='coco8-seg.yaml', model='yolov8n-seg.pt')
exp = Explorer(data="coco8-seg.yaml", model="yolov8n-seg.pt")
exp.create_embeddings_table(force=True)
assert len(exp.table.head()['masks']) > 0
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)
@ -47,9 +47,9 @@ def test_seg():
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 = Explorer(data="coco8-pose.yaml", model="yolov8n-pose.pt")
exp.create_embeddings_table(force=True)
assert len(exp.table.head()['keypoints']) > 0
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)