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new nc=len(names) check
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5
train.py
5
train.py
@ -57,7 +57,7 @@ def train(hyp):
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yaml.dump(hyp, f, sort_keys=False)
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with open(Path(log_dir) / 'opt.yaml', 'w') as f:
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yaml.dump(vars(opt), f, sort_keys=False)
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epochs = opt.epochs # 300
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batch_size = opt.batch_size # 64
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weights = opt.weights # initial training weights
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@ -68,7 +68,8 @@ def train(hyp):
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data_dict = yaml.load(f, Loader=yaml.FullLoader) # model dict
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train_path = data_dict['train']
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test_path = data_dict['val']
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nc = 1 if opt.single_cls else int(data_dict['nc']) # number of classes
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nc, names = (1, ['item']) if opt.single_cls else (int(data_dict['nc']), data_dict['names']) # number classes, names
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assert len(names) == nc, '%g names found for nc=%g dataset in %s' % (len(names), nc, opt.data) # check
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# Remove previous results
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for f in glob.glob('*_batch*.jpg') + glob.glob(results_file):
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