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  library_name: transformers
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  tags: []
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  library_name: transformers
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  tags: []
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  ---
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+ # Ink detection pipeline using the Grandprize winning model.
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+ ### Install the relevant packages using the following command:
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+ ```bash
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+ pip install -U vesuvius transformer timesformer-pytorch
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+ vesuvius.accept_terms --yes
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+ ```
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+ ## Read ancient text and retrieve 2000 year old letters using this simple code snippet:
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+ ```python
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+ import vesuvius
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+ import numpy as np
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+ import matplotlib.pyplot as plt
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+ from vesuvius import Volume
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+ from transformers import pipeline
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+
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+
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+ segment = Volume(20230827161847, normalize=True)
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+
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+ classifier = pipeline(model="YoussefMoNader/ink_detection_pipeline", trust_remote_code=True, tile_size=64, stride=32, scale_factor=16)
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+ prediction = classifier(np.transpose(segment[17:43, 200:5600,1000:4600],(1,2,0)).astype(np.float32)) # prediction shape ~ (512,512)
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+
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+ plt.imshow(prediction)
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+ ```