docker image missing requirements about stylized-imagenet

[rgeirhos]

Thanks for pointing this out, I'll have a look at the docker image.
I'd say it took a bit less than a day on a single GPU to create Stylized-ImageNet.

[kiranchari]

Hey Robert, a question about the "Content-style trade-off" option in the original ADAIN repo..it looks like you're using a default value of 1.0 for alpha? https://github.com/rgeirhos/Stylized-ImageNet/blob/master/code/adain.py#L224

Can I change that default value to modify alpha? Thanks

[rgeirhos]

The answer is yes to both questions: I'm using alpha = 1.0 but it's absolutely fine to change that value depending on your needs.

[kahnchana]

Did the docker image work with those changes? I am still struggling to get this working.

[KeyaPatani717]

@kiranchari how did you get the docker image to work. I have pulled bethgelab/deeplearning:cuda10.0-cudnn7-12_2019 but when I run it I get the error
[C 11:17:16.512 NotebookApp] Running as root is not recommended. Use --allow-root to bypass.

[Vashi1]

Did the docker image work with those changes? I am still struggling to get this working.

No it isn't working for me. Even after installing tensorboardX, it wasn't working

[Vashi1]

Did the docker image work with those changes? I am still struggling to get this working.

No it isn't working for me. Even after installing tensorboardX, it wasn't working

File "/usr/local/lib/python3.6/dist-packages/tensorboardX/proto/resource_handle_pb2.py", line 22, in <module>
    serialized_pb=_b('\n(tensorboardX/proto/resource_handle.proto\x12\x0ctensorboardX\"r\n\x13ResourceHandleProto\x12\x0e\n\x06\x64\x65vice\x18\x01 \x01(\t\x12\x11\n\tcontainer\x18\x02 \x01(\t\x12\x0c\n\x04name\x18\x03 \x01(\t\x12\x11\n\thash_code\x18\x04 \x01(\x04\x12\x17\n\x0fmaybe_type_name\x18\x05 \x01(\tB/\n\x18org.tensorflow.frameworkB\x0eResourceHandleP\x01\xf8\x01\x01\x62\x06proto3')
TypeError: __new__() got an unexpected keyword argument 'serialized_options'

This Is the error I'm getting