Update app.py
Browse files
app.py
CHANGED
@@ -36,6 +36,7 @@ if torch.cuda.is_available():
|
|
36 |
detector50.model.to('cuda')
|
37 |
detector101.model.to('cuda')
|
38 |
|
|
|
39 |
|
40 |
COLORS = ["#ff7f7f", "#ff7fbf", "#ff7fff", "#bf7fff",
|
41 |
"#7f7fff", "#7fbfff", "#7fffff", "#7fffbf",
|
@@ -69,7 +70,7 @@ def get_figure(in_pil_img):
|
|
69 |
|
70 |
ax = plt.gca()
|
71 |
print(f"图像尺寸:{in_pil_img.size}")
|
72 |
-
in_results = query_data(in_pil_img)
|
73 |
|
74 |
for prediction in in_results:
|
75 |
selected_color = choice(COLORS)
|
|
|
36 |
detector50.model.to('cuda')
|
37 |
detector101.model.to('cuda')
|
38 |
|
39 |
+
model = "detr-resnet-101"
|
40 |
|
41 |
COLORS = ["#ff7f7f", "#ff7fbf", "#ff7fff", "#bf7fff",
|
42 |
"#7f7fff", "#7fbfff", "#7fffff", "#7fffbf",
|
|
|
70 |
|
71 |
ax = plt.gca()
|
72 |
print(f"图像尺寸:{in_pil_img.size}")
|
73 |
+
in_results = query_data(model, in_pil_img)
|
74 |
|
75 |
for prediction in in_results:
|
76 |
selected_color = choice(COLORS)
|