ProGamerGov

from PIL import Image

import argparse
parser = argparse.ArgumentParser()
# Basic options
parser.add_argument("-content", help="Original content target image", default='examples/inputs/tubingen.jpg')
parser.add_argument("-generated", help="Stylized image", default='examples/outputs/tubingen_starry.png')
parser.add_argument("-output_image", default='out.png')
params = parser.parse_args()

ProGamerGov

-- This modified version of Neural-Style was created by github.com/ProGamerGov on 2017-09-29
-- Use: "luarocks install paths" to install the required package. 
-- The -style_image parameter will now automatically determine if the input is a directory, or a string of one or more images. 

-- The FC layers as content layers feature comes from: 
-- github.com/htoyryla's gist.github.com/htoyryla/806ca4d978f0528114282cd00022ad71

-- Code from: https://github.com/jcjohnson/neural-style/pull/408
-- The NIN ImageNet model uses dropout layers with random values,
-- so this version of neural_style.lua removes the unneeded dropout layers entirely. 

ProGamerGov

-- This modified version of Neural-Style was created by github.com/ProGamerGov on 2017-09-29
-- Use: "luarocks install paths" to install the required package. 
-- The -style_image parameter will now automatically determine if the input is a directory, or a string of one or more images. 

-- Code from: https://github.com/jcjohnson/neural-style/pull/408
-- The NIN ImageNet model uses dropout layers with random values,
-- so this version of neural_style.lua removes the unneeded dropout layers entirely. 

require 'torch'
require 'nn'

ProGamerGov

-- modified by ProGamerGov to select the best content channels, in addition to style channels. 

-- modified version of @jcjohnson's neural-style
-- by @htoyryla 13 Feb 2018
-- allows giving emphasis to nc best channel(s) in each style layer
-- use -style_layers to select layer as usual, using a single layer is recommended
-- -nc to set how many of the best channels are used per layer
-- during target capture, tests the model using the style image
-- and selects nc channels with strongest activations to be given emphasis during iterations
-- not tested with multiple style images

ProGamerGov

-- Modified from github.com/htoyryla's code here: https://github.com/htoyryla/convis/issues/2#issuecomment-365009705

require 'torch'
require 'nn'
require 'image'
require 'loadcaffe' 

function preprocess(img)
   local mean_pixel = torch.DoubleTensor({103.939, 116.779, 123.68})
   local perm = torch.LongTensor{3, 2, 1}

ProGamerGov

-- This version of neural_style.lua allows for the use of all of the Adam optimizer parameters.
-- The learning rate parameter also now affect's L-BFGS' learning rate.

-- The modifications were made based on the research done here: 
-- https://github.com/jcjohnson/neural-style/issues/428#issuecomment-342618091

-- github.com/ProGamerGov 2017-11-07


require 'torch'

ProGamerGov

-- This modified version of Neural-Style was created by github.com/ProGamerGov on 2017-09-29
-- Use: "luarocks install paths" to install the required package. 
-- The -style_image parameter will now automatically determine if the input is a directory, or a string of one or more images. 

require 'torch'
require 'nn'
require 'image'
require 'optim'
require 'paths'

ProGamerGov

-- Code from: https://github.com/jcjohnson/neural-style/pull/408
-- The NIN ImageNet model uses dropout layers with random values,
-- so this version of neural_style.lua removes the unneeded dropout layers entirely. 

require 'torch'
require 'nn'
require 'image'
require 'optim'

require 'loadcaffe'

ProGamerGov

#! /bin/bash

#Usage: ./alternate.sh <input.png>
#Dependency: sudo apt-get install imagemagick
#Permission fix troubleshooting: chmod u+x ./alternate.sh

# 1. Defines the input image as a variable
input=$1
input_file=`basename $input`
clean_name="${input_file%.*}"

ProGamerGov

-- Matting laplacian code from: github.com/martinbenson/deep-photo-styletransfer/
-- Generate the laplacian with: https://gist.github.com/ProGamerGov/290f26afccc5e013d1a8425ef6a594f2
-- More details can be found in this gist: https://gist.github.com/ProGamerGov/d3988b914c92220ae45aa5bb1e31d6a7
-- The original Neural Style code can be found here: https://github.com/jcjohnson/neural-style

require 'torch'
require 'nn'
require 'image'
require 'optim'