fast-style-transfer
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What are the requirements exactly?
The readme file says the requirements are:
TensorFlow 0.11.0 Python 2.7.9, Pillow 3.4.2, scipy 0.18.1, numpy 1.11.2
But they seem outdated. I saw a few references to tensorflow 1.0.0. What are the full requirements exactly?
Also curious if this repo will work with newer versions. Would appreciate an updated list of requirements if anybody has them. Thanks!
It seems that ffmpeg and moviepy are both required if you want to train a new style
I can confirm the above -- and add scipy to the list.
Also, I can confirm that I was able to train a style and evaluate using TensorFlow 1.8.0 built against CUDA 9.1 (using a wheel I found on the web because my gfx card is only supported in CUDA 9.1+ but tensorflow currently is only officially built against 9.0).
Cheers, Marc
I can't seem to get round the paradox of needing python 2.79 for these scripts and that there seems to be no way to install tensorflow for that version - I've got it installed in python 3.x but get this when I run style.py in 2.79
Traceback (most recent call last):
File "style.py", line 5, in
any ideas or leads anyone has will be gratefully accepted :)
Chris