AAAAAAyq commited on
Commit
77f39b8
·
1 Parent(s): 37773b6

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -57,7 +57,7 @@ def fast_show_mask(annotation, ax):
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  # post_process(results[0].masks, Image.open("../data/cake.png"))
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- def predict(input, input_size):
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  input_size = int(input_size) # 确保 imgsz 是整数
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  results = model(input, device='cpu', retina_masks=True, iou=0.7, conf=0.25, imgsz=input_size)
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  pil_image = fast_process(annotations=results[0].masks.data.numpy(), image=input)
@@ -71,7 +71,7 @@ def predict(input, input_size):
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  # post_process(annotations=results, image_path=inp)
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  demo = gr.Interface(fn=predict,
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- inputs=[gr.inputs.Image(type='pil'), gr.inputs.Dropdown(choices=[512, 800, 1024], default=1024)],
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  outputs=['plot'],
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  examples=[["assets/sa_8776.jpg", 1024]],
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  # ["assets/sa_1309.jpg", 1024]],
 
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  # post_process(results[0].masks, Image.open("../data/cake.png"))
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+ def predict(input, input_size=512):
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  input_size = int(input_size) # 确保 imgsz 是整数
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  results = model(input, device='cpu', retina_masks=True, iou=0.7, conf=0.25, imgsz=input_size)
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  pil_image = fast_process(annotations=results[0].masks.data.numpy(), image=input)
 
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  # post_process(annotations=results, image_path=inp)
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  demo = gr.Interface(fn=predict,
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+ inputs=[gr.inputs.Image(type='pil'), gr.inputs.Dropdown(choices=[512, 800, 1024], default=512)],
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  outputs=['plot'],
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  examples=[["assets/sa_8776.jpg", 1024]],
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  # ["assets/sa_1309.jpg", 1024]],