Slight change to README

README.md

@@ -3,6 +3,10 @@
 This is a Torch7 implementation of the method described in the paper 
 'A Neural Algorthm of Artistic Style' by Leon Gatys, Alexander Ecker, and Matthias Bethge (http:https://arxiv.org/abs/1508.06576).
 
+![](examples/starry_eiffel_short.gif)
+
+[(Longer animation)](http:https://gfycat.com/UnawareUnfortunateEkaltadeta)
+
 ## Dependencies
 
 - [Torch7](https://github.com/torch/torch7)
@@ -62,23 +66,17 @@ qlua main.lua --style <style.jpg> --content <content.jpg> --size 300
 
 ## Examples
 
-The Eiffel Tower in the style of Van Gogh's *Starry Night*:
-
-![](examples/starry_eiffel_short.gif)
-
-[Longer animation](http:https://gfycat.com/UnawareUnfortunateEkaltadeta)
-
-And in the style of Edvard Munch's *The Scream*:
+The Eiffel Tower in the style of Edvard Munch's *The Scream*:
 
 ![](examples/eiffel_scream_short.gif)
 
-[Longer animation](http:https://gfycat.com/WebbedValuableGreyhounddog)
+[(Longer animation)](http:https://gfycat.com/WebbedValuableGreyhounddog)
 
 Picasso-fied Obama:
 
 ![](examples/picasso_obama_short.gif)
 
-[Longer animation](http:https://gfycat.com/WeakPettyDevilfish)
+[(Longer animation)](http:https://gfycat.com/WeakPettyDevilfish)
 
 ## Implementation Details
 

main.lua

@@ -20,17 +20,17 @@ cmd:text()
 cmd:text('A Neural Algorithm of Artistic Style')
 cmd:text()
 cmd:text('Options:')
-cmd:option('--model', 'vgg', '{inception, vgg}. Model to use.')
-cmd:option('--style', 'none', 'Path to style image')
-cmd:option('--content', 'none', 'Path to content image')
-cmd:option('--style_factor', 2e9, 'Trade-off factor between style and content')
-cmd:option('--num_iters', 500, 'Number of iterations')
-cmd:option('--size', 500, 'Length of image long edge (0 to use original content size)')
-cmd:option('--display_interval', 20, 'Iterations between image displays (0 to suppress display)')
-cmd:option('--smoothness', 1e-4, 'Total variation norm regularization strength (higher for smoother output)')
-cmd:option('--init', 'image', '{image, random}. Initialization mode for optimized image.')
-cmd:option('--backend', 'cunn', '{cunn, cudnn}. Neural network CUDA backend.')
-cmd:option('--optimizer', 'lbfgs', '{sgd, lbfgs}. Optimization algorithm.')
+cmd:option('--model', 'vgg',  '{inception, vgg}. Model to use.')
+cmd:option('--style', 'none',  'Path to style image')
+cmd:option('--content', 'none',  'Path to content image')
+cmd:option('--style_factor', 2e9,  'Trade-off factor between style and content')
+cmd:option('--num_iters', 500,  'Number of iterations')
+cmd:option('--size', 500,  'Length of image long edge (0 to use original content size)')
+cmd:option('--display_interval', 20,  'Iterations between image displays (0 to suppress display)')
+cmd:option('--smoothness', 1e-4,  'Total variation norm regularization strength (higher for smoother output)')
+cmd:option('--init', 'image',  '{image, random}. Initialization mode for optimized image.')
+cmd:option('--backend', 'cunn',  '{cunn, cudnn}. Neural network CUDA backend.')
+cmd:option('--optimizer', 'lbfgs',  '{sgd, lbfgs}. Optimization algorithm.')
 opt = cmd:parse(arg)
 if opt.size <= 0 then
  opt.size = nil