five-video-classification-methods
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TypeError: 'threadsafe_iterator' object is not an iterator
I ran following commands initially as mentioned in the README document
pip install -r requirements.txt
cd data && wget http://crcv.ucf.edu/data/UCF101/UCF101.rar
mkdir train && mkdir test && mkdir sequences && mkdir checkpoints
python 1_move_files.py' 'python 2_extract_files.py
Then I extracted feature by running extract_features.py
. As mentioned, I limited to first 8 classes by setting that option.
Earlier I was using python 2.7 but now I have migrated to python 3.4 after getting TypeError: instance has no next() method
. So I am running the below code on Python 3.4 but still I am getting following log errors:
Using TensorFlow backend.
Loading LSTM model.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
None
Epoch 1/1000
Exception in thread Thread-2:
Traceback (most recent call last):
File "/usr/lib/python3.4/threading.py", line 920, in _bootstrap_inner
self.run()
File "/usr/lib/python3.4/threading.py", line 868, in run
self._target(*self._args, **self._kwargs)
File "/usr/local/lib/python3.4/dist-packages/keras/engine/training.py", line 606, in data_generator_task
generator_output = next(self._generator)
TypeError: 'threadsafe_iterator' object is not an iterator
Traceback (most recent call last):
File "train.py", line 110, in <module>
main()
File "train.py", line 107, in main
load_to_memory=load_to_memory, batch_size=batch_size, nb_epoch=nb_epoch)
File "train.py", line 81, in train
workers=4)
File "/usr/local/lib/python3.4/dist-packages/keras/legacy/interfaces.py", line 88, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.4/dist-packages/keras/models.py", line 1097, in fit_generator
initial_epoch=initial_epoch)
File "/usr/local/lib/python3.4/dist-packages/keras/legacy/interfaces.py", line 88, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.4/dist-packages/keras/engine/training.py", line 1851, in fit_generator
str(generator_output))
ValueError: output of generator should be a tuple `(x, y, sample_weight)` or `(x, y)`. Found: None
Exception ignored in: <bound method Session.__del__ of <tensorflow.python.client.session.Session object at 0x7f6aade63828>>
Traceback (most recent call last):
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 582, in __del__
AttributeError: 'NoneType' object has no attribute 'TF_DeleteStatus'