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ultralytics 8.0.235 YOLOv8 OBB train, val, predict and export (#4499)

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Glenn Jocher 2024-01-05 03:00:26 +01:00 • committed by GitHub
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ultralytics/data/utils.py
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@ -516,10 +516,7 @@ class HUBDatasetStats:
else:
from ultralytics.data import YOLODataset
dataset = YOLODataset(img_path=self.data[split],
data=self.data,
use_segments=self.task == 'segment',
use_keypoints=self.task == 'pose')
dataset = YOLODataset(img_path=self.data[split], data=self.data, task=self.task)
x = np.array([
np.bincount(label['cls'].astype(int).flatten(), minlength=self.data['nc'])
for label in TQDM(dataset.labels, total=len(dataset), desc='Statistics')]) # shape(128x80)