Fix SplitImageWithAlpha and JoinImageWithAlpha.
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@ -158,7 +158,7 @@ class SplitImageWithAlpha:
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def split_image_with_alpha(self, image: torch.Tensor):
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out_images = [i[:,:,:3] for i in image]
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out_alphas = [i[:,:,3] if i.shape[2] > 3 else torch.ones_like(i[:,:,0]) for i in image]
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result = (torch.stack(out_images), torch.stack(out_alphas))
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result = (torch.stack(out_images), 1.0 - torch.stack(out_alphas))
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return result
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@ -180,7 +180,7 @@ class JoinImageWithAlpha:
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batch_size = min(len(image), len(alpha))
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out_images = []
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alpha = resize_mask(alpha, image.shape[1:])
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alpha = 1.0 - resize_mask(alpha, image.shape[1:])
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for i in range(batch_size):
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out_images.append(torch.cat((image[i][:,:,:3], alpha[i].unsqueeze(2)), dim=2))
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