Issue on - executing (MoCoGAN Paper)

[ShibaPrasad]

Hi, I am using - Python 3.6.1 :: Anaconda custom (64-bit) and Ubuntu 14.04.5 LTS. When i am trying to exexute the code at - https://github.com/sergeytulyakov/mocogan and steps : https://github.com/sergeytulyakov/mocogan/wiki/Training-MoCoGAN

I am getting below error while executing the code. Would you please help ?

Training:

• executed below command from command line python train.py \ --image_batch 32 \ --video_batch 32 \ --use_infogan \ --use_noise \ --noise_sigma 0.1 \ --image_discriminator PatchImageDiscriminator \ --video_discriminator CategoricalVideoDiscriminator \ --print_every 100 \ --every_nth 2 \ --dim_z_content 50 \ --dim_z_motion 10 \ --dim_z_category 4 \ ../data/actions ../logs/actions ############################################################### shiba@shiba:~/Downloads/mocogan-master/src$ python train.py \

  --image_batch 32 \
  --video_batch 32 \
  --use_infogan \
  --use_noise \
  --noise_sigma 0.1 \
  --image_discriminator PatchImageDiscriminator \
  --video_discriminator CategoricalVideoDiscriminator \
  --print_every 100 \
  --every_nth 2 \
  --dim_z_content 50 \
  --dim_z_motion 10 \
  --dim_z_category 4 \
  ../data/actions ../logs/actions

  /home/shiba/anaconda3/lib/python3.6/importlib/_bootstrap.py:205: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6 return f(args, kwds) {'--batches': '100000', '--dim_z_category': '4', '--dim_z_content': '50', '--dim_z_motion': '10', '--every_nth': '2', '--image_batch': '32', '--image_dataset': '', '--image_discriminator': 'PatchImageDiscriminator', '--image_size': '64', '--n_channels': '3', '--noise_sigma': '0.1', '--print_every': '100', '--use_categories': False, '--use_infogan': True, '--use_noise': True, '--video_batch': '32', '--video_discriminator': 'CategoricalVideoDiscriminator', '--video_length': '16', '': '../data/actions', '': '../logs/actions'} Traceback (most recent call last): File "train.py", line 104, in dataset = data.VideoFolderDataset(args[''], cache=os.path.join(args[''], 'local.db')) File "/home/shiba/Downloads/mocogan-master/src/data.py", line 24, in init self.images, self.lengths = pickle.load(f) TypeError: a bytes-like object is required, not 'str' Error in `python': double free or corruption (!prev): 0x0000000000bfda20 *** Aborted (core dumped) shiba@shiba:~/Downloads/mocogan-master/src$

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[sergeytulyakov]

Hi,

I haven't tested the code with python 3.6 . The code should run on python 2.7. But I think you should be able to make it work.

In this case, could you check if you have local.db in the folder where the data is? Try deleting it and see if it helps

Sergey

[ShibaPrasad]

Now i am getting "Segmentation fault (core dumped)" (using - Python 3.6.1 :: Anaconda custom (64-bit) and Ubuntu 14.04.5 [LTS)](url )

shiba@shiba:~/Downloads/mocogan-master/src$ python train.py \

--image_batch 32 \
--video_batch 32 \
--use_infogan \
--use_noise \
--noise_sigma 0.1 \
--image_discriminator PatchImageDiscriminator \
--video_discriminator CategoricalVideoDiscriminator \
--print_every 100 \
--every_nth 2 \
--dim_z_content 50 \
--dim_z_motion 10 \
--dim_z_category 4 \
../data/actions ../logs/actions

Segmentation fault (core dumped) shiba@shiba:~/Downloads/mocogan-master/src$

[sergeytulyakov]

Unfortunately, segmentation fault is a very generic error. Could you provide more information?

• Which line in the code causes the error?

Alternatively you could try switching to python2.7 either using docker or virtualenv.