yhzhai commited on
Commit
60b5ed2
1 Parent(s): 35a188c

add resize note

Browse files
Files changed (2) hide show
  1. app.py +13 -0
  2. requirements.txt +1 -0
app.py CHANGED
@@ -1,5 +1,6 @@
1
  from pathlib import Path
2
 
 
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  import gradio as gr
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  import numpy as np
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  import torch
@@ -19,8 +20,17 @@ def greet(input_image):
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  with torch.no_grad():
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  image = input_image
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  image = np.array(image)
 
 
 
 
 
 
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  dsm_image = torch.from_numpy(image).permute(2, 0, 1)
 
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  image_size = image.shape[:2]
 
 
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  image = img_to_tensor(
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  image,
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  normalize={"mean": IMAGENET_DEFAULT_MEAN, "std": IMAGENET_DEFAULT_STD},
@@ -36,6 +46,9 @@ def greet(input_image):
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  f"No manipulation found (manipulation probability {pred:.2f})."
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  )
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  overlay = draw_segmentation_masks(
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  dsm_image, masks=out_map[0, ...] > opt.mask_threshold
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  )
 
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  from pathlib import Path
2
 
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+ import albumentations as A
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  import gradio as gr
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  import numpy as np
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  import torch
 
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  with torch.no_grad():
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  image = input_image
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  image = np.array(image)
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+ h, w = image.shape[:2]
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+ if max(h, w) > 1024:
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+ transform = A.LongestMaxSize(1024)
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+ else:
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+ transform = None
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+
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  dsm_image = torch.from_numpy(image).permute(2, 0, 1)
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+
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  image_size = image.shape[:2]
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+ if transform is not None:
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+ image = transform(image=image)["image"]
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  image = img_to_tensor(
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  image,
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  normalize={"mean": IMAGENET_DEFAULT_MEAN, "std": IMAGENET_DEFAULT_STD},
 
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  f"No manipulation found (manipulation probability {pred:.2f})."
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  )
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+ if transform is not None:
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+ output_string += f"\nNote: Image was too large ({h}, {w}) and was resized to fit the model, which may decrease accuracy. We recommend image size smaller than 1024x1024."
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+
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  overlay = draw_segmentation_masks(
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  dsm_image, masks=out_map[0, ...] > opt.mask_threshold
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  )
requirements.txt CHANGED
@@ -25,3 +25,4 @@ termcolor==2.4.0
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  timm==0.9.12
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  tqdm
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  markupsafe==2.0.1
 
 
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  timm==0.9.12
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  tqdm
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  markupsafe==2.0.1
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+ gradio