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README.md
basic.py
boost_inference.py
boost_train.py
data_processing.py
gen_v3.py
gen_v4.py
model_vgg19.py

README.md

End to End Neural Art

Please refer to this blog for details of how it is implemented.

How to use

  1. First use ../download.sh to download pre-trained model and sample inputs.

  2. Prepare training dataset. Put image samples to ../data/ (one file for each image sample). The pretrained model here was trained by 26k images sampled from MIT Place dataset.

  3. Use boost_train.py for training.

Pretrained Model

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