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Fix HUBDatasetStats for no-label edge cases (#4583)

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Glenn Jocher 2023-08-26 19:38:02 +02:00 • committed by GitHub
parent 2db35afad5
commit f755ba88c3
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10 changed files with 62 additions and 41 deletions
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8
ultralytics/data/dataset.py
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@ -110,13 +110,12 @@ class YOLODataset(BaseDataset):
tqdm(None, desc=self.prefix + d, total=n, initial=n, bar_format=TQDM_BAR_FORMAT) # display results
if cache['msgs']:
LOGGER.info('\n'.join(cache['msgs'])) # display warnings
if nf == 0: # number of labels found
raise FileNotFoundError(f'{self.prefix}No labels found in {cache_path}, can not start training. {HELP_URL}')
# Read cache
[cache.pop(k) for k in ('hash', 'version', 'msgs')] # remove items
labels = cache['labels']
assert len(labels), f'No valid labels found, please check your dataset. {HELP_URL}'
if not labels:
LOGGER.warning(f'WARNING ⚠️ No images found in {cache_path}, training may not work correctly. {HELP_URL}')
self.im_files = [lb['im_file'] for lb in labels] # update im_files
# Check if the dataset is all boxes or all segments
@ -130,10 +129,9 @@ class YOLODataset(BaseDataset):
for lb in labels:
lb['segments'] = []
if len_cls == 0:
raise ValueError(f'All labels empty in {cache_path}, can not start training without labels. {HELP_URL}')
LOGGER.warning(f'WARNING ⚠️ No labels found in {cache_path}, training may not work correctly. {HELP_URL}')
return labels
# TODO: use hyp config to set all these augmentations
def build_transforms(self, hyp=None):
"""Builds and appends transforms to the list."""
if self.augment: