cvips
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Parent(s):
92486ce
front end updated
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app.py
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@@ -52,37 +52,34 @@ import spaces
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# breakpoint()
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MARKDOWN = """
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<div align="center">
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#
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</div>
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"""
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# breakpoint()
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MARKDOWN = """
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<div align="center" style="padding: 20px 0;">
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<h1 style="font-size: 3em; margin: 0;">
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ሀ<span style="color: #32CD32;">A</span>ኪ<span style="color: #FFD700;">i</span>ም
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<sup style="font-size: 0.5em;">AI</sup>
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</h1>
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<div style="display: flex; justify-content: center; align-items: center; gap: 15px; margin: 15px 0;">
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<a href="https://cyberbrainai.com/">
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<img src="https://cyberbrainai.com/assets/logo.svg" alt="CyberBrain AI" style="width:40px; height:40px; vertical-align: middle;">
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</a>
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<a href="https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-segment-images-with-sam-2.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="ድinቅneሽ" style="vertical-align: middle;">
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</a>
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<a href="https://www.youtube.com/watch?v=Dv003fTyO-Y">
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<img src="https://badges.aleen42.com/src/youtube.svg" alt="YouTube" style="vertical-align: middle;">
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</a>
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</div>
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<div style="max-width: 800px; margin: 0 auto; padding: 0 20px;">
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<p style="font-size: 1.2em; line-height: 1.5; margin: 15px 0;">
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This demo integrates BiomedParse, a foundation model for joint segmentation, detection, and recognition across 9 biomedical imaging modalities. The model supports:
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</p>
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<ul style="text-align: left; font-size: 1.1em; line-height: 1.4; margin: 10px 0; padding-left: 20px;">
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<li>Segmentation/Detection/Recognition across multiple modalities (CT, MRI, X-Ray, etc.)</li>
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<li>Text-prompted object detection</li>
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<li>Recognition of anatomical structures and abnormalities</li>
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</ul>
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</div>
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</div>
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"""
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