An implementation of [neural style][paper] in TensorFlow.
https://github.com/Liangmp/ArtisticTransfer
https://drive.google.com/open?id=1kNh9dY_eN-EgevVdykTwFPJ54Girx9Ex
Run python neural_style.py --content 1-content.jpg --styles 1-style.jpg --output 1-output.jpg
Running it for 500-2000 iterations seems to produce nice results.
The following example was run for 1000 iterations to produce the result (with default parameters):
Content Image:
Style Image:
Running it for 500-2000 iterations seems to produce nice results.
Run python neural_style.py --content 1-content.jpg --styles 1-style.jpg --output 2-output.jpg --keep-colors
The following example was run for 1000 iterations to produce the result (with default parameters):
Content Image:
Style Image:
- [Pre-trained VGG network][net] (MD5
106118b7cf60435e6d8e04f6a6dc3657) - put it in the top level of this repository, or specify its location using the--networkoption.
You can install Python dependencies using pip install -r requirements.txt,
and it should just work. If you want to install the packages manually, here's a
list:
@misc{athalye2015neuralstyle, author = {Anish Athalye}, title = {Neural Style}, year = {2015}, howpublished = {\url{https://github.com/anishathalye/neural-style}}, note = {commit xxxxxxx} }