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ultralytics 8.2.14 add task + OBB to hub.check_dataset() (#12573)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Burhan 2024-05-12 15:27:44 -04:00 • committed by GitHub
parent cf24349efb
commit fd748e3c7a
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5 changed files with 36 additions and 24 deletions
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ultralytics/data/utils.py
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@ -441,6 +441,7 @@ class HUBDatasetStats:
stats = HUBDatasetStats('path/to/coco8.zip', task='detect') # detect dataset
stats = HUBDatasetStats('path/to/coco8-seg.zip', task='segment') # segment dataset
stats = HUBDatasetStats('path/to/coco8-pose.zip', task='pose') # pose dataset
stats = HUBDatasetStats('path/to/dota8.zip', task='obb') # OBB dataset
stats = HUBDatasetStats('path/to/imagenet10.zip', task='classify') # classification dataset
stats.get_json(save=True)
@ -497,13 +498,13 @@ class HUBDatasetStats:
"""Update labels to integer class and 4 decimal place floats."""
if self.task == "detect":
coordinates = labels["bboxes"]
elif self.task == "segment":
elif self.task in {"segment", "obb"}: # Segment and OBB use segments. OBB segments are normalized xyxyxyxy
coordinates = [x.flatten() for x in labels["segments"]]
elif self.task == "pose":
n, nk, nd = labels["keypoints"].shape
coordinates = np.concatenate((labels["bboxes"], labels["keypoints"].reshape(n, nk * nd)), 1)
else:
raise ValueError("Undefined dataset task.")
raise ValueError(f"Undefined dataset task={self.task}.")
zipped = zip(labels["cls"], coordinates)
return [[int(c[0]), *(round(float(x), 4) for x in points)] for c, points in zipped]