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Style It!

Style images with convolutional neural nets with online parameters tuning. "Static" realization based on Stanford cs231n/assignment3/ StyleTransfer with Tensorflow notebook.

Run with python main.py from terminal. Main command line arguments:

--default-style-decay - default value for style importance.
--default-content-weight - default value for content importance.
--content-max-side - max side of content image.
--style-max-side  - max side of style image.
--save-each - step size for saving progress.
--update-each - step size for updating result.

Usage example:

Generated samples:

Content Style Progress

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