Caroline Mai Chan
commited on
Commit
·
aef0baa
1
Parent(s):
8aa3f87
add new style
Browse files- .gitattributes +1 -0
- app.py +17 -7
- model2.pth +3 -0
.gitattributes
CHANGED
|
@@ -26,3 +26,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 26 |
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
| 27 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
model.pth filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 26 |
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
| 27 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
model.pth filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
model2.pth filter=lfs diff=lfs merge=lfs -text
|
app.py
CHANGED
|
@@ -83,18 +83,26 @@ class Generator(nn.Module):
|
|
| 83 |
|
| 84 |
return out
|
| 85 |
|
| 86 |
-
|
| 87 |
-
|
| 88 |
-
|
| 89 |
|
| 90 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 91 |
input_img = Image.open(input_img)
|
| 92 |
transform = transforms.Compose([transforms.Resize(256, Image.BICUBIC), transforms.ToTensor()])
|
| 93 |
input_img = transform(input_img)
|
| 94 |
input_img = torch.unsqueeze(input_img, 0)
|
| 95 |
|
|
|
|
| 96 |
with torch.no_grad():
|
| 97 |
-
|
|
|
|
|
|
|
|
|
|
| 98 |
|
| 99 |
drawing = transforms.ToPILImage()(drawing)
|
| 100 |
return drawing
|
|
@@ -102,9 +110,11 @@ def predict(input_img):
|
|
| 102 |
title="informative-drawings"
|
| 103 |
description="Gradio Demo for line drawing generation. "
|
| 104 |
# article = "<p style='text-align: center'><a href='TODO' target='_blank'>Project Page</a> | <a href='codelink' target='_blank'>Github</a></p>"
|
| 105 |
-
examples=[['cat.png'], ['
|
| 106 |
|
| 107 |
|
| 108 |
-
iface = gr.Interface(predict, gr.inputs.Image(type='filepath'),
|
|
|
|
|
|
|
| 109 |
|
| 110 |
iface.launch()
|
|
|
|
| 83 |
|
| 84 |
return out
|
| 85 |
|
| 86 |
+
model1 = Generator(3, 1, 3)
|
| 87 |
+
model1.load_state_dict(torch.load('model.pth', map_location=torch.device('cpu')))
|
| 88 |
+
model1.eval()
|
| 89 |
|
| 90 |
+
model2 = Generator(3, 1, 3)
|
| 91 |
+
model2.load_state_dict(torch.load('model2.pth', map_location=torch.device('cpu')))
|
| 92 |
+
model2.eval()
|
| 93 |
+
|
| 94 |
+
def predict(input_img, ver):
|
| 95 |
input_img = Image.open(input_img)
|
| 96 |
transform = transforms.Compose([transforms.Resize(256, Image.BICUBIC), transforms.ToTensor()])
|
| 97 |
input_img = transform(input_img)
|
| 98 |
input_img = torch.unsqueeze(input_img, 0)
|
| 99 |
|
| 100 |
+
drawing = 0
|
| 101 |
with torch.no_grad():
|
| 102 |
+
if ver == 'style 2':
|
| 103 |
+
drawing = model2(input_img)[0].detach()
|
| 104 |
+
else:
|
| 105 |
+
drawing = model1(input_img)[0].detach()
|
| 106 |
|
| 107 |
drawing = transforms.ToPILImage()(drawing)
|
| 108 |
return drawing
|
|
|
|
| 110 |
title="informative-drawings"
|
| 111 |
description="Gradio Demo for line drawing generation. "
|
| 112 |
# article = "<p style='text-align: center'><a href='TODO' target='_blank'>Project Page</a> | <a href='codelink' target='_blank'>Github</a></p>"
|
| 113 |
+
examples=[['cat.png', 'style 1'], ['bridge.png', 'style 1'], ['lizard.png', 'style 2'],]
|
| 114 |
|
| 115 |
|
| 116 |
+
iface = gr.Interface(predict, [gr.inputs.Image(type='filepath'),
|
| 117 |
+
gr.inputs.Radio(['style 1','style 2'], type="value", default='style 1', label='version')],
|
| 118 |
+
gr.outputs.Image(type="pil"), title=title,description=description,examples=examples)
|
| 119 |
|
| 120 |
iface.launch()
|
model2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30a534781061f34e83bb9406b4335da4ff2616c95d22a585c1245aa8363e74e0
|
| 3 |
+
size 17173511
|