ultralytics 8.0.57
Comet, AMP, Classify, Docker updates (#1601)
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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@ -207,12 +207,20 @@ def check_det_dataset(dataset, autodownload=True):
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data = yaml_load(data, append_filename=True) # dictionary
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# Checks
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for k in 'train', 'val', 'names':
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for k in 'train', 'val':
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if k not in data:
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raise SyntaxError(
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emojis(f"{dataset} '{k}:' key missing ❌.\n'train', 'val' and 'names' are required in all data YAMLs."))
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emojis(f"{dataset} '{k}:' key missing ❌.\n'train' and 'val' are required in all data YAMLs."))
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if 'names' not in data and 'nc' not in data:
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raise SyntaxError(emojis(f"{dataset} key missing ❌.\n either 'names' or 'nc' are required in all data YAMLs."))
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if 'names' in data and 'nc' in data and len(data['names']) != data['nc']:
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raise SyntaxError(emojis(f"{dataset} 'names' length {len(data['names'])} and 'nc: {data['nc']}' must match."))
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if 'names' not in data:
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data['names'] = [f'class_{i}' for i in range(data['nc'])]
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else:
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data['nc'] = len(data['names'])
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data['names'] = check_class_names(data['names'])
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data['nc'] = len(data['names'])
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# Resolve paths
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path = Path(extract_dir or data.get('path') or Path(data.get('yaml_file', '')).parent) # dataset root
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