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Spenhouet / automated-deep-photo-style-transfer

TensorFlow implementation for the paper "Automated Deep Photo Style Transfer"
https://arxiv.org/abs/1901.03915
111 stars 36 forks source link

Specify python version #7

Closed siyas13 closed 5 years ago

siyas13 commented 5 years ago

For the time I was running your project in python 3.5 but throws an error in sematch library as follows. from sematch.semantic.similarity import WordNetSimilarity Traceback (most recent call last): File "", line 1, in File "C:\Users\Siyas\AppData\Local\Continuum\anaconda3\lib\site-packages\sematch\semantic\similarity.py", line 25, in from sematch.semantic.sparql import EntityFeatures, StatSPARQL File "C:\Users\Siyas\AppData\Local\Continuum\anaconda3\lib\site-packages\sematch\semantic\sparql.py", line 36 print query ^ SyntaxError: Missing parentheses in call to 'print'. Did you mean print(print query)?

The fix was to give a parenthesis to that file specified. But thats not the fix. Please tell me how did it work for you.

Spenhouet commented 5 years ago

Yes, that is an issue. I did also solve it the same way as you did. See this old issue that is still unresolved: https://github.com/gsi-upm/sematch/issues/18 I have no influence on the sematch repository so I can not do anything about that :/ sorry

siyas13 commented 5 years ago

Yeah i know but try solving it in your code finding an alternative for sematch(if possible). Another thing is that I couldn't reproduce a good result as you gave in the sample. Can you suggest some arguments for producing a better output? Also, memory usage is very high as it uses more that 10GB of RAM for images of size 600KB to 900KB. I suggest you optimize the code to efficient memory utilization.