Traceback (most recent call last):


 "./labelme2coco.py", line 187, in <module>

main()


 "./labelme2coco.py", line 162, in main

labels, captions, masks = zip(
ValueError: not enough values to unpack (expected 3, got 0)

Traceback (most recent call last):


 "train_softmax.py", line 1104, in <module>

main()


 "train_softmax.py", line 1100, in main

train_net(args)


 "train_softmax.py", line 1093, in train_net

epoch_end_callback=checkpoint)


 "/home/xiaomin.wu/anaconda2/lib/python2.7/site-packages/mxnet-1.0.0-py2.7.egg/mxnet/module/base_module.py", line 482, in fit

next_data_batch = next(data_iter)


 "/autofs/data56/xiaomin.wu/code/bitmain/insightface/src/data.py", line 824, in next

label, s, bbox, landmark = self.next_sample()


 "/autofs/data56/xiaomin.wu/code/bitmain/insightface/src/data.py", line 750, in next_sample

header, img = recordio.unpack(s)


 "/home/xiaomin.wu/anaconda2/lib/python2.7/site-packages/mxnet-1.0.0-py2.7.egg/mxnet/recordio.py", line 370, in unpack

header = header._replace(label=np.frombuffer(s, np.float32, header.flag))
ValueError: buffer is smaller than requested size
