ahmetyaylalioglu commited on
Commit
8007933
·
verified ·
1 Parent(s): ab8972c

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -19,7 +19,8 @@ def mask_to_rgb(mask):
19
  bg_transparent[mask == 1] = [0, 255, 0, 127]
20
  return bg_transparent
21
 
22
- def get_processed_inputs(image, points):
 
23
  input_points = [points]
24
  inputs = processor(image, input_points=input_points, return_tensors="pt").to(device)
25
  with torch.no_grad():
@@ -59,7 +60,7 @@ iface = gr.Interface(
59
  fn=gradio_interface,
60
  inputs=[
61
  gr.Image(type="numpy", label="Input Image"),
62
- gr.Image(type="numpy", label="Click to select points", tool="sketch", brush_radius=1),
63
  gr.Textbox(label="Positive Prompt", placeholder="Enter positive prompt here"),
64
  gr.Textbox(label="Negative Prompt", placeholder="Enter negative prompt here")
65
  ],
@@ -68,7 +69,7 @@ iface = gr.Interface(
68
  gr.Image(label="Segmentation Mask")
69
  ],
70
  title="Interactive Image Inpainting",
71
- description="Click on the image to select points for segmentation, provide prompts, and see the inpainted result."
72
  )
73
 
74
  iface.launch(share=True)
 
19
  bg_transparent[mask == 1] = [0, 255, 0, 127]
20
  return bg_transparent
21
 
22
+ def get_processed_inputs(image, points_str):
23
+ points = [list(map(int, point.split(','))) for point in points_str.split()]
24
  input_points = [points]
25
  inputs = processor(image, input_points=input_points, return_tensors="pt").to(device)
26
  with torch.no_grad():
 
60
  fn=gradio_interface,
61
  inputs=[
62
  gr.Image(type="numpy", label="Input Image"),
63
+ gr.Textbox(label="Points (format: x1,y1 x2,y2 ...)", placeholder="e.g., 100,100 200,200"),
64
  gr.Textbox(label="Positive Prompt", placeholder="Enter positive prompt here"),
65
  gr.Textbox(label="Negative Prompt", placeholder="Enter negative prompt here")
66
  ],
 
69
  gr.Image(label="Segmentation Mask")
70
  ],
71
  title="Interactive Image Inpainting",
72
+ description="Enter points as 'x1,y1 x2,y2 ...' for segmentation, provide prompts, and see the inpainted result."
73
  )
74
 
75
  iface.launch(share=True)