Spaces:
Sleeping
Sleeping
fix
Browse files- app.py +2 -2
- examples/03.jpg +0 -0
app.py
CHANGED
@@ -11,13 +11,13 @@ def get_mask(img, s=1024):
|
|
11 |
h, w = (s, int(s * w / h)) if h > w else (int(s * h / w), s)
|
12 |
ph, pw = s - h, s - w
|
13 |
img_input = np.zeros([s, s, 3], dtype=np.float32)
|
14 |
-
img_input[ph // 2:ph // 2 + h, pw // 2:pw // 2 + w] = cv2.resize(img, (w, h)
|
15 |
img_input = np.transpose(img_input, (2, 0, 1))
|
16 |
img_input = img_input[np.newaxis, :]
|
17 |
mask = rmbg_model.run(None, {'img': img_input})[0][0]
|
18 |
mask = np.transpose(mask, (1, 2, 0))
|
19 |
mask = mask[ph // 2:ph // 2 + h, pw // 2:pw // 2 + w]
|
20 |
-
mask = cv2.resize(mask, (w0, h0)
|
21 |
return mask
|
22 |
|
23 |
|
|
|
11 |
h, w = (s, int(s * w / h)) if h > w else (int(s * h / w), s)
|
12 |
ph, pw = s - h, s - w
|
13 |
img_input = np.zeros([s, s, 3], dtype=np.float32)
|
14 |
+
img_input[ph // 2:ph // 2 + h, pw // 2:pw // 2 + w] = cv2.resize(img, (w, h))
|
15 |
img_input = np.transpose(img_input, (2, 0, 1))
|
16 |
img_input = img_input[np.newaxis, :]
|
17 |
mask = rmbg_model.run(None, {'img': img_input})[0][0]
|
18 |
mask = np.transpose(mask, (1, 2, 0))
|
19 |
mask = mask[ph // 2:ph // 2 + h, pw // 2:pw // 2 + w]
|
20 |
+
mask = cv2.resize(mask, (w0, h0))[:, :, np.newaxis]
|
21 |
return mask
|
22 |
|
23 |
|
examples/03.jpg
CHANGED