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Update app.py

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  1. app.py +5 -5
app.py CHANGED
@@ -247,13 +247,13 @@ gradio_app = gr.Interface(
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  title="SAMReg: One Registration is Worth Two Segmentations",
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  examples=examples,
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  description="<p> \
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- <strong>Register anything with ROI-based registration representation.</strong> <br>\
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  Choose an example below &#128293; &#128293; &#128293; <br>\
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- Or, upload by yourself: Upload images to be aligned to 'img1' and 'img2'. <br>\
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- The estimate of the an inference time is about 475s. <br>\
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  <br> \
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- πŸ’Ž The correspondence representation is presented by multiple paired-ROIs in the same color. <br>\
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- πŸ’Ž Examples below are all medical images for the algorithm proposed for medical registration initially. <br>\
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  πŸ’Ž Current UI interface only unleashes a small part of the capabilities of SAMReg, i.e., 2D registration w 'embedding' mode. \
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  </p>",
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  cache_examples=False,
 
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  title="SAMReg: One Registration is Worth Two Segmentations",
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  examples=examples,
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  description="<p> \
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+ <strong>Register anything using ROI-based correspondence representation.</strong> <br>\
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  Choose an example below &#128293; &#128293; &#128293; <br>\
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+ Or, upload your own images to 'img1' and 'img2'. <br>\
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+ The CPU's hardware limitations result in an inference time of roughly 875 seconds for a single run. <br>\
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  <br> \
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+ πŸ’Ž The correspondence representation is illustrated by multiple paired-ROIs in the same color. <br>\
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+ πŸ’Ž The examples below consist of medical images because the algorithm was initially proposed for medical registration. <br>\
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  πŸ’Ž Current UI interface only unleashes a small part of the capabilities of SAMReg, i.e., 2D registration w 'embedding' mode. \
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  </p>",
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  cache_examples=False,