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new nc=len(names) check

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This commit is contained in:
Glenn Jocher 2020-07-09 17:03:12 -07:00
parent dd8e742ece
commit cb527d3af9
1 changed files with 3 additions and 2 deletions
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5
train.py
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@ -57,7 +57,7 @@ def train(hyp):
yaml.dump(hyp, f, sort_keys=False) yaml.dump(hyp, f, sort_keys=False)
with open(Path(log_dir) / 'opt.yaml', 'w') as f: with open(Path(log_dir) / 'opt.yaml', 'w') as f:
yaml.dump(vars(opt), f, sort_keys=False) yaml.dump(vars(opt), f, sort_keys=False)
epochs = opt.epochs # 300 epochs = opt.epochs # 300
batch_size = opt.batch_size # 64 batch_size = opt.batch_size # 64
weights = opt.weights # initial training weights weights = opt.weights # initial training weights
@ -68,7 +68,8 @@ def train(hyp):
data_dict = yaml.load(f, Loader=yaml.FullLoader) # model dict data_dict = yaml.load(f, Loader=yaml.FullLoader) # model dict
train_path = data_dict['train'] train_path = data_dict['train']
test_path = data_dict['val'] test_path = data_dict['val']
nc = 1 if opt.single_cls else int(data_dict['nc']) # number of classes nc, names = (1, ['item']) if opt.single_cls else (int(data_dict['nc']), data_dict['names']) # number classes, names
assert len(names) == nc, '%g names found for nc=%g dataset in %s' % (len(names), nc, opt.data) # check
# Remove previous results # Remove previous results
for f in glob.glob('*_batch*.jpg') + glob.glob(results_file): for f in glob.glob('*_batch*.jpg') + glob.glob(results_file):