TensorFlow implementation of A Neural Algorithm of Artistic Style by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge.
This project is about an artificial system based on a Deep Neural Network that creates artistic images using TensorFlow's Machine Learning APIs.
- Style Image
- Content Image
- Output Image
- TensorFlow
- SciPy
- NumPy
- VGG 19 model
Basic usage:
python style.py
Options:
--content
: Name of the content image--style
: Name of the style image--output
: Name of the output directory--width
: Width of the output image--height
: Height of the output image--alpha
: Weight factor for content--beta
: Weight factor for style--vgg
: Name of the VGG 19 model--iterations
: Number of iterations
- https://github.com/ckmarkoh/neuralart_tensorflow
- https://github.com/log0/neural-style-painting
MIT License
Copyright (c) 2017 Blanyal D'Souza
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
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copies of the Software, and to permit persons to whom the Software is
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The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
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SOFTWARE.