Spaces:
Running
on
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Running
on
Zero
Luigi Piccinelli
commited on
Commit
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919cfa0
1
Parent(s):
a891163
change 'please note'
Browse files
app.py
CHANGED
@@ -405,7 +405,7 @@ if __name__ == "__main__":
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<li><strong>Visualize:</strong> The 3D reconstruction will appear in the viewer on the right. You can rotate, pan, and zoom to explore the model, and download the GLB file.</li>
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<li><strong>Downstream:</strong> The 3D output can be used as reconstruction or for monocular camera calibration.</li>
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<p><strong style="color: #ff7e26;">
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<li><strong>Visualize:</strong> The 3D reconstruction will appear in the viewer on the right. You can rotate, pan, and zoom to explore the model, and download the GLB file.</li>
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<li><strong>Downstream:</strong> The 3D output can be used as reconstruction or for monocular camera calibration.</li>
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</ol>
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<p><strong style="color: #ff7e26;">PLEASE NOTE:</strong> <span style="color: #ff7e26; font-weight: bold;">UniK3D currently runs on CPU here on HuggingFace. Actual inference is less than 100ms second per image on consumer-level GPUs. However, while running on HuggingFace Space's CPU, it will take between 10 seconds and 3 minutes, depending on the "Utilized Model" and "Speed-Resolution Tradeoff" chosen, please wait. For faster visualization, use a local machine to run our demo from our <a href="https://github.com/lpiccinelli-eth/UniK3D">GitHub repository</a>. </span></p>
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