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Scripts
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This project currently implements Scale Control, and Color Control (Luminance-Only style transfer, and color matching with histogram matching) in Neural-Style using external Python scripts. The external scripts allow for the features to be used on pretty much any other style transfer system.
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The features come from the Controlling Perceptual Factors in Neural Style Transfer research paper.
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See this comment here, for more information.
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This modified version of neural_style.lua implements luminance style transfer.
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The feature idea comes from the Controlling Perceptual Factors in Neural Style Transfer research paper.
- Display your styled outputs alongside their content and style image(s), in a single image.
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Features a modified neural_style.lua script that creates a more CSV friendly terminal output.
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Simple graphing script to graph the loss values.
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A fork of Larger-Neural-Style.
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Solves all of the issues that the Larger-Neural-Style script had. The math behind the tiling process has also been completely redone.
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Supports multires and features different variations of the script for different tile combos. For example: 3x3, 2x2, 2x1, and 1x2 tiles.
- A companion shell script for automating and creating a series of neural style images starting with a smaller size and cycling the way up through larger sizes, and defining logic for upsizing operation with a few memory saving tricks along the way. This script was inspired by jcjohnson's example multires script.
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A simple script made by jcjohnson which slowly increases output image_size while using each output as the init_image value of the next run through with Neural-Style.
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More information the multires script can be found here.
- For creating endless zooming gifs/videos with Neural-Style, like those seen in Deepdream projects.
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It creates larger Neural-Style images through automated tiling.
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A shell script which automates the "tiled u-pres" process described here.
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Posted by htoyryla here
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It is used instead of the default neural-style.lua
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A tool to visualize convolutional layer activations on an input image.
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Creates images in which the input image is highlighted by each filter in the given conv layer.
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It basically lets you see what Neural-Style sees on an image.
- This bash scripts creates a gradient of style transfer images using jcjohnson's neural-style script. This is intended to help anyone who wants to use the NIN model and figure out the best parameters. The .sh file is well commented so you should have an easy time making edits to whatever you like.