Very simple implementation of Neural Algorithm of the Artistic Style (Gatys et al. - http://arxiv.org/abs/1508.06576) in Tensorflow. I used VGG implementation from Chris and modified it slightly, stripping away unnecessary layers.
In the examples below I used content image as an initialization, it seems to provide more consistent image, but in the code, you can switch
easily to noise initialization on line 109 in style.py. I used Adam for optimizer and let it run for 500 iterations.
python style.py content_image_path style_image_path [output_image] [{top,center,bottom,left,right}] [content_scale] [style_weight]
- paths are pretty self-explanatory
{top,center,bottom,left,right}specify how to crop the style image to obtain an image of the same size as the content imagecontent_scalespecifies scale factor that is applied to the input content image. Smaller the image, faster the stylization.style_weightis a number between 0-1 that specifies emphasis on the style. 0 means no styling, 1 means only styling.
First thing I had to do - stylize my very handsome profile picture:
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