When I changed my own data set and executed the training code segnet_train.py, I encountered the following error:
Traceback (most recent call last):
File "segnet_train.py", line 284, in
train(args)
File "segnet_train.py", line 247, in train
validation_data=generateValidData(BS,val_set), steps_per_epoch=train_numb//BS, max_queue_size=1)
File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, kwargs)
File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/engine/training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/engine/training_generator.py", line 181, in fit_generator
generator_output = next(output_generator)
File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/utils/data_utils.py", line 709, in get
six.reraise(sys.exc_info())
File "/home/gnss/anaconda3/lib/python3.5/site-packages/six.py", line 693, in reraise
raise value
File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/utils/data_utils.py", line 685, in get
inputs = self.queue.get(block=True).get()
File "/home/gnss/anaconda3/lib/python3.5/multiprocessing/pool.py", line 608, in get
raise self._value
File "/home/gnss/anaconda3/lib/python3.5/multiprocessing/pool.py", line 119, in worker
result = (True, func(args, kwds))
File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/utils/data_utils.py", line 626, in next_sample
return six.next(_SHARED_SEQUENCES[uid])
File "segnet_train.py", line 108, in generateData
train_label = labelencoder.transform(trainlabel)
File "/home/gnss/anaconda3/lib/python3.5/site-packages/sklearn/preprocessing/label.py", line 257, in transform
, y = encode(y, uniques=self.classes, encode=True)
File "/home/gnss/anaconda3/lib/python3.5/site-packages/sklearn/preprocessing/label.py", line 110, in _encode
return _encode_numpy(values, uniques, encode)
File "/home/gnss/anaconda3/lib/python3.5/site-packages/sklearn/preprocessing/label.py", line 53, in _encode_numpy
% str(diff))
ValueError: y contains previously unseen labels: [7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 15.0]
This seems to be a problem with the label? Thank you for helping me.
wcl6
commented
4 years ago
When I changed my own data set and executed the training code segnet_train.py, I encountered the following error: Traceback (most recent call last): File "segnet_train.py", line 284, in
train(args)
File "segnet_train.py", line 247, in train validation_data=generateValidData(BS,val_set), steps_per_epoch=train_numb//BS, max_queue_size=1) File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, kwargs) File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/engine/training.py", line 1418, in fit_generator initial_epoch=initial_epoch) File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/engine/training_generator.py", line 181, in fit_generator generator_output = next(output_generator) File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/utils/data_utils.py", line 709, in get six.reraise(sys.exc_info()) File "/home/gnss/anaconda3/lib/python3.5/site-packages/six.py", line 693, in reraise raise value File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/utils/data_utils.py", line 685, in get inputs = self.queue.get(block=True).get() File "/home/gnss/anaconda3/lib/python3.5/multiprocessing/pool.py", line 608, in get raise self._value File "/home/gnss/anaconda3/lib/python3.5/multiprocessing/pool.py", line 119, in worker result = (True, func(args, kwds)) File "/home/gnss/anaconda3/lib/python3.5/site-packages/keras/utils/data_utils.py", line 626, in next_sample return six.next(_SHARED_SEQUENCES[uid]) File "segnet_train.py", line 108, in generateData train_label = labelencoder.transform(trainlabel)
File "/home/gnss/anaconda3/lib/python3.5/site-packages/sklearn/preprocessing/label.py", line 257, in transform , y = encode(y, uniques=self.classes, encode=True) File "/home/gnss/anaconda3/lib/python3.5/site-packages/sklearn/preprocessing/label.py", line 110, in _encode return _encode_numpy(values, uniques, encode) File "/home/gnss/anaconda3/lib/python3.5/site-packages/sklearn/preprocessing/label.py", line 53, in _encode_numpy % str(diff)) ValueError: y contains previously unseen labels: [7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 15.0] This seems to be a problem with the label? Thank you for helping me.