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Artistic Neural Style Transfer on Images and Videos
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python-scripts python scripts to run style-transfer Jun 10, 2019
pytorch
sample-images
styled-output
styles sample styles Jun 12, 2019
Output-Visualization.ipynb visualizing output of style transfer in grid format Jun 9, 2019
README.md
Style-Transfer-Keras.ipynb Artistic Style Transfer using Keras Jun 7, 2019
Style-Transfer-PyTorch.ipynb
styles.zip added few more styles Jun 6, 2019

README.md

Implementing Artistic Neural Style Transfer on Images & Videos

Jupyter Notebooks:

[1] Style-Transfer-Keras.ipynb: Keras version as described here - https://keras.io/examples/neural_style_transfer/

[2] Style-Transfer-PyTorch.ipynb: PyTorch version as described here - https://pytorch.org/tutorials/advanced/neural_style_tutorial.html

Note: PyTorch implementation requires that both content and style files have same dimensions.. 

Directory ./pytorch contains few sample content and style files resized for PyTorch, as well as the outputs generated on those..

[3] Output-Visualization.ipynb: Creates visualization of style transfer output in grid format, using MatPlotLib and PyPlot

Note: some of the notebooks may be too large in size to open in browser..

Python scripts to run style-transfer using Keras and PyTorch are available in directory ./python-scripts

Directory /styles contains sample style files

Directory /sample-images contains few sample images to test style-transfer

Directory /styled-output contains output of style-transfer on sample images

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