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ECE285_NST

Description

This is project Style Transfer developed by team NST composed of Yonghong Liu, Xiaotao Guo

Code organization

  • demo.ipynb -- Run a demo of our code (reproduces Figure 11 - 12 of our report)
  • realtime_style_transfer.ipynb -- Run the training of real-time style transfer (as described in Section 2)
  • Experiment_classic_style_transfer.ipynb -- Run the experiment of classic style transfer (reproduces Figure 2 - 5 of our report)
  • Experiment_realtime_style_transfer.ipynb -- Run the experiment of real-time style transfer (reproduces Figure 6 - 9 of our report)
  • Cross_experiments.ipynb -- Run the experiment of comparison between two versions of style transfer (reproduces Figure 10 of our report)
  • original_NST.py -- Module for implementing classic style transfer (as described in Section 2)
  • train_transformer.py -- Module for implementing real-time style transfer (as described in Section 2)
  • nntools_RTST.py -- Module for implementing checking point for training real-time style transfer (edited from nntools.py provided in pervious assignments)
  • models -- trained real-time style transfer models
  • logs -- the log for the traning of real-time style transfer models
  • images/content -- content image used for testing style transfer models
  • images/style -- style image used for training and testing style transfer models

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Neural Style Transfer project for ECE285

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