Spaces:
Sleeping
Sleeping
unknown
commited on
Commit
•
227ebfb
1
Parent(s):
10d2191
remove cuda usage
Browse files
main.py
CHANGED
@@ -92,7 +92,7 @@ def predict_image(image_url):
|
|
92 |
img_cp = np.float32(img_cp) / 255
|
93 |
input_tensor = preprocess_image(img_cp, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
|
94 |
input_tensor = torch.Tensor(input_tensor)
|
95 |
-
input_tensor.cuda()
|
96 |
|
97 |
output = model(input_tensor)
|
98 |
# print(torch.max(output, 1))
|
@@ -108,7 +108,7 @@ def predict_image(image_url):
|
|
108 |
img = cv2.resize(img, (224, 224))
|
109 |
img = np.float32(img) / 255
|
110 |
input_tensor = torch.Tensor(input_tensor)
|
111 |
-
input_tensor.cuda()
|
112 |
|
113 |
input_tensor = preprocess_image(img, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
|
114 |
targets = [ClassifierOutputTarget(0)]
|
|
|
92 |
img_cp = np.float32(img_cp) / 255
|
93 |
input_tensor = preprocess_image(img_cp, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
|
94 |
input_tensor = torch.Tensor(input_tensor)
|
95 |
+
# input_tensor.cuda()
|
96 |
|
97 |
output = model(input_tensor)
|
98 |
# print(torch.max(output, 1))
|
|
|
108 |
img = cv2.resize(img, (224, 224))
|
109 |
img = np.float32(img) / 255
|
110 |
input_tensor = torch.Tensor(input_tensor)
|
111 |
+
# input_tensor.cuda()
|
112 |
|
113 |
input_tensor = preprocess_image(img, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
|
114 |
targets = [ClassifierOutputTarget(0)]
|