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-rw-r--r--README.md2
-rw-r--r--neuralart.py2
2 files changed, 2 insertions, 2 deletions
diff --git a/README.md b/README.md
index 0756ed7..919ec79 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
Neural Style Transfer done from the CLI using a VGG backbone and presented as an MP4.
-Weights can be downloaded from [here](https://m1.afileditch.ch/ajjMsHrRhnikrrCiUXgY.pth). The downloaded file should be placed in `./weights/` and any file will be ignored from there when pushing, as seen in `./.gitignore`. Update: Alternatively, if the `./weights/` directory is empty, `./neuralart.py` will automatically download publicly available VGG19 weights for the user.
+Weights can be downloaded from [here](https://drive.google.com/file/d/1Pfh-dHvCdhn97MpLT0_I6QAAzvejqs1i/). The downloaded file should be placed in `./weights/` and any file will be ignored from there when pushing, as seen in `./.gitignore`. Update: Alternatively, if the `./weights/` directory is empty, `./neuralart.py` will automatically download publicly available VGG19 weights for the user.
More in depth information about Neural Style Transfer ( NST ) can be found in this great [paper](https://arxiv.org/abs/1705.04058). Make sure to check [Requirements](#requirements) and [Usage](#usage).
diff --git a/neuralart.py b/neuralart.py
index 7aab03e..349c989 100644
--- a/neuralart.py
+++ b/neuralart.py
@@ -33,7 +33,7 @@ n_instances = os.popen('ps aux | grep "python neuralart.py" | wc -l').read()
if int(n_instances) > 3: print("Woah, running 2 or more instances of neural-art at the same time?\nThis is an experimental feature as of now... try it later favorably :3")
### check if there are any weights to use, if not, download the default provided ones
-if int(os.popen('ls -l weights | wc -l').read()) == 1: os.system('wget -O "weights/vgg_conv_weights.pth" "https://m1.afileditch.ch/ajjMsHrRhnikrrCiUXgY.pth"')
+#if int(os.popen('ls -l weights | wc -l').read()) == 1: os.system('wget -O "weights/vgg_conv_weights.pth" "https://m1.afileditch.ch/ajjMsHrRhnikrrCiUXgY.pth"')
### Defining neural architecture