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Saquib Alam 2023-08-08 22:46:49 +05:30 committed by GitHub
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nodes.py
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@ -1342,7 +1342,7 @@ class LoadImage:
image = np.array(image).astype(np.float32) / 255.0 image = np.array(image).astype(np.float32) / 255.0
image = torch.from_numpy(image)[None,] image = torch.from_numpy(image)[None,]
smooth_image = image.copy() smooth_image = image.detach().clone()
if 'A' in i.getbands(): if 'A' in i.getbands():
mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0 mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
mask = torch.from_numpy(mask) mask = torch.from_numpy(mask)