sacj harshkidzure commited on
Commit
24b767e
1 Parent(s): b612b91

Update app.py (#8)

Browse files

- Update app.py (53dfd2c355f763f71efe81291f409a71d46487a3)


Co-authored-by: Harsh Pahwa <harshkidzure@users.noreply.huggingface.co>

Files changed (1) hide show
  1. app.py +5 -10
app.py CHANGED
@@ -123,15 +123,10 @@ def predict(
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  size1, size2 = input_image["image"].convert("RGB").size
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  if task != "image-outpainting":
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- if size1 < size2:
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- input_image["image"] = input_image["image"].convert("RGB").resize((640, int(size2 / size1 * 640)))
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- else:
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- input_image["image"] = input_image["image"].convert("RGB").resize((int(size1 / size2 * 640), 640))
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  else:
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- if size1 < size2:
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- input_image["image"] = input_image["image"].convert("RGB").resize((512, int(size2 / size1 * 512)))
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- else:
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- input_image["image"] = input_image["image"].convert("RGB").resize((int(size1 / size2 * 512), 512))
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  if task == "image-outpainting" or task == "context-aware":
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  prompt = prompt + " empty scene"
@@ -171,8 +166,8 @@ def predict(
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  W = int(np.shape(img)[0] - np.shape(img)[0] % 8)
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  H = int(np.shape(img)[1] - np.shape(img)[1] % 8)
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- input_image["image"] = input_image["image"].resize((H, W))
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- input_image["mask"] = input_image["mask"].resize((H, W))
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  np_inpimg = np.array(input_image["image"])
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  np_inmask = np.array(input_image["mask"]) / 255.0
 
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  size1, size2 = input_image["image"].convert("RGB").size
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  if task != "image-outpainting":
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+ input_image["image"] = input_image["image"].convert("RGB").resize((1024, 1024), Image.LANCZOS)
 
 
 
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  else:
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+ input_image["image"] = input_image["image"].convert("RGB").resize((1024, 1024), Image.LANCZOS)
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+
 
 
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  if task == "image-outpainting" or task == "context-aware":
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  prompt = prompt + " empty scene"
 
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  W = int(np.shape(img)[0] - np.shape(img)[0] % 8)
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  H = int(np.shape(img)[1] - np.shape(img)[1] % 8)
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+ input_image["image"] = input_image["image"].resize((H, W), Image.LANCZOS)
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+ input_image["mask"] = input_image["mask"].resize((H, W), Image.LANCZOS)
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  np_inpimg = np.array(input_image["image"])
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  np_inmask = np.array(input_image["mask"]) / 255.0