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  ---
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  license: mit
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  library_name: transformers
 
 
 
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  ---
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  # MangaLineExtraction-hf
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  ## Example
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- TODO
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model Details
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  number = {4},
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  pages = {117:1--117:12},
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  }
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- ```
 
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  ---
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  license: mit
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  library_name: transformers
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+ tags:
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+ - image-to-image
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+ - lineart
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  ---
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  # MangaLineExtraction-hf
 
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  ## Example
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+
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+ ```py
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+ from PIL import Image
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+ import torch
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+
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+ from transformers import AutoModel, AutoImageProcessor
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+
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+ REPO_NAME = "p1atdev/MangaLineExtraction-hf"
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+
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+ model = AutoModel.from_pretrained(REPO_NAME, trust_remote_code=True)
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+ processor = AutoImageProcessor.from_pretrained(REPO_NAME, trust_remote_code=True)
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+
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+ image = Image.open("./sample.jpg")
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+
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+ inputs = processor(image, return_tensors="pt")
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+
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+ with torch.no_grad():
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+ outputs = model(inputs.pixel_values)
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+
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+ line_image = Image.fromarray(outputs.pixel_values[0].numpy().astype("uint8"), mode="L")
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+ line_image.save("./line_image.png")
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+ ```
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+
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  ## Model Details
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  number = {4},
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  pages = {117:1--117:12},
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  }
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+ ```