small
Browse files
app.py
CHANGED
@@ -17,8 +17,8 @@ NORMALIZE = T.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225))
|
|
17 |
CACHE = True
|
18 |
|
19 |
def blend_images(bg, fg, alpha=0.5):
|
20 |
-
fg = fg.convert('RGBA')
|
21 |
bg = bg.convert('RGBA')
|
|
|
22 |
blended = Image.blend(bg, fg, alpha=alpha)
|
23 |
|
24 |
return blended
|
@@ -67,7 +67,7 @@ def predict(img_input):
|
|
67 |
(sigmoid(preds_up.detach()) > 0.5).squeeze(0).float()
|
68 |
)
|
69 |
|
70 |
-
return blend_images(img_pil, preds_up)
|
71 |
|
72 |
|
73 |
title = 'FOUND'
|
|
|
17 |
CACHE = True
|
18 |
|
19 |
def blend_images(bg, fg, alpha=0.5):
|
|
|
20 |
bg = bg.convert('RGBA')
|
21 |
+
fg = fg.convert('RGBA')
|
22 |
blended = Image.blend(bg, fg, alpha=alpha)
|
23 |
|
24 |
return blended
|
|
|
67 |
(sigmoid(preds_up.detach()) > 0.5).squeeze(0).float()
|
68 |
)
|
69 |
|
70 |
+
return T.ToPILImage()(blend_images(img_pil, preds_up))
|
71 |
|
72 |
|
73 |
title = 'FOUND'
|