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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ ---
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+
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+ # Torch Scripts
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+
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+ ## VitMatte
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+ The demo files are [here](https://github.com/hustvl/ViTMatte/tree/main/demo)
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+ ```python
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+ import torch
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+
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+ image = Image.open("./retriever_rgb.png").convert("RGB")
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+ image = F.to_tensor(image).unsqueeze(0).to("cuda").half()
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+
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+ trimap = Image.open("./retriever_trimap.png").convert("L")
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+ trimap = F.to_tensor(trimap).unsqueeze(0).to("cuda").half()
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+
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+ input = {"image": image, "trimap": trimap}
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+
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+ model = torch.jit.load("./vitmatte_b_dis.pt").to("cuda")
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+ alpha = model(input)
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+
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+ output = F.to_pil_image(predictions)
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+ output.save("./predicted.png")
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+ ```