HongChuang/ultralytics-ascend
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Apply Ruff 0.9.0 (#18622)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2025-01-10 00:05:09 +01:00 • committed by GitHub
parent cc1e77138c
commit 3902e740cf
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22 changed files with 69 additions and 65 deletions
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6
ultralytics/models/fastsam/predict.py
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@ -87,9 +87,9 @@ class FastSAMPredictor(SegmentationPredictor):
if labels is None:
labels = torch.ones(points.shape[0])
labels = torch.as_tensor(labels, dtype=torch.int32, device=self.device)
assert len(labels) == len(
points
), f"Excepted `labels` got same size as `point`, but got {len(labels)} and {len(points)}"
assert len(labels) == len(points), (
f"Excepted `labels` got same size as `point`, but got {len(labels)} and {len(points)}"
)
point_idx = (
torch.ones(len(result), dtype=torch.bool, device=self.device)
if labels.sum() == 0 # all negative points