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github.com/anishathalye/neural-style
/ functions
Functions
19 in github.com/anishathalye/neural-style
⨍
Functions
19
◇
Types & classes
0
↓ 3 callers
Function
imread
(path)
neural_style.py:354
↓ 3 callers
Function
imresize
(arr, size)
neural_style.py:370
↓ 3 callers
Function
imsave
(path, img)
neural_style.py:365
↓ 2 callers
Function
_tensor_size
(tensor)
stylize.py:265
↓ 2 callers
Function
get_loss_vals
(loss_store)
stylize.py:19
↓ 2 callers
Function
hms
(seconds)
stylize.py:282
↓ 2 callers
Function
print_progress
(loss_vals)
stylize.py:23
↓ 1 callers
Function
_conv_layer
(input, weights, bias)
vgg.py:96
↓ 1 callers
Function
_pool_layer
(input, pooling)
vgg.py:101
↓ 1 callers
Function
build_parser
()
neural_style.py:30
↓ 1 callers
Function
fmt_imsave
(fmt, iteration)
neural_style.py:216
↓ 1 callers
Function
gray2rgb
(gray)
stylize.py:275
↓ 1 callers
Function
main
()
neural_style.py:225
↓ 1 callers
Function
rgb2gray
(rgb)
stylize.py:271
↓ 1 callers
Function
stylize
Stylize images. This function yields tuples (iteration, image, loss_vals) at every iteration. However `image` and `loss_vals` are None b
stylize.py:28
Function
load_net
(data_path)
vgg.py:55
Function
net_preloaded
(weights, input_image, pooling)
vgg.py:69
Function
preprocess
(image, mean_pixel)
vgg.py:108
Function
unprocess
(image, mean_pixel)
vgg.py:112