tree: 176fa3a7d8ac72c77e027d97329928f193d5fd55 [path history] [tgz]
  1. basic.py
  2. boost_inference.py
  3. boost_train.py
  4. data_processing.py
  5. gen_v3.py
  6. gen_v4.py
  7. model_vgg19.py
  8. README.md
example/neural-style/end_to_end/README.md

End to End Neural Art

This is an implementation of blog: http://dmlc.ml/mxnet/2016/06/20/end-to-end-neural-style.html

We will release a Multi-GPU training code soon.

How to use

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

  2. Then prepare training dataset according to the blog

  3. Modify boost_train.py

Pretrained Model

Weight https://github.com/dmlc/web-data/raw/master/mxnet/art/model.zip Inference boost_inference.py