style transfer code for generating stylized images using content and style loss from different layers, from different loss networks (vgg-16, vgg-19, inception-v1, inception-v2, inception-v3 trained on imagenet, inception-v3 trained on openimages, inception-v4)
tensorflow r1.3
./setup.sh
python fast_style.py --test-path data/content/ --train-path data/train/ --result-path test-fast/ --style-path data/style/wave.jpg
To access all command line arguments, run python fast_style.py --help
python slow_style.py --style-path data/style/wave.jpg --content-path data/content/stata.jpg --result-path test-slow/
To access all command line arguments, run python slow_style.py --help
python print_model_layers.py --network inception-v4
To access all command line arguments, run python print_model_layers.py --help
- Add explanatory comments
- Expose more command-line arguments
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