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Fix point filtering logic in load_valid_labels() #157

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Fix point filtering logic in load_valid_labels() #157

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12 changes: 8 additions & 4 deletions yolo/tools/data_loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -140,10 +140,14 @@ def load_valid_labels(self, label_path: str, seg_data_one_img: list) -> Union[Te
for seg_data in seg_data_one_img:
cls = seg_data[0]
points = np.array(seg_data[1:]).reshape(-1, 2)
valid_points = points[(points >= 0) & (points <= 1)].reshape(-1, 2)
if valid_points.size > 1:
bbox = torch.tensor([cls, *valid_points.min(axis=0), *valid_points.max(axis=0)])
bboxes.append(bbox)

if not np.any((points >= 0) & (points <= 1)):
continue

valid_points = np.clip(points, 0, 1)

bbox = torch.tensor([cls, *valid_points.min(axis=0), *valid_points.max(axis=0)])
bboxes.append(bbox)

if bboxes:
return torch.stack(bboxes)
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