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app.py
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@@ -611,10 +611,10 @@ with gr.Blocks(css="""
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<h3 style="color: var(--text-primary);">π <b>LoS/NLoS Classification Task</b></h3>
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<ul style="padding-left: 20px;">
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<li><b>π― Goal</b>: Classify whether a channel is <b>LoS</b> (Line-of-Sight) or <b>NLoS</b> (Non-Line-of-Sight) with very small LWM CLS embeddings.</li>
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<li><b>π Dataset</b>: Use the default dataset (a combination of six scenarios from the DeepMIMO dataset) or upload your own dataset in <b>
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<li><b>π‘ Custom Dataset Requirements:</b>
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<ul>
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<li
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<li>π·οΈ <b>labels</b> array: Binary LoS/NLoS values (1/0)</li>
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</ul>
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</li>
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<h3 style="color: var(--text-primary);">π <b>LoS/NLoS Classification Task</b></h3>
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<ul style="padding-left: 20px;">
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<li><b>π― Goal</b>: Classify whether a channel is <b>LoS</b> (Line-of-Sight) or <b>NLoS</b> (Non-Line-of-Sight) with very small LWM CLS embeddings.</li>
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<li><b>π Dataset</b>: Use the default dataset (a combination of six scenarios from the DeepMIMO dataset) or upload your own dataset in <b>H5</b> format.</li>
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<li><b>π‘ Custom Dataset Requirements:</b>
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<ul>
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<li>π‘ <b>channels</b> array: Shape (N,32,32), rows: 32 antennas at BS, columns: 32 subcarriers</li>
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<li>π·οΈ <b>labels</b> array: Binary LoS/NLoS values (1/0)</li>
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</ul>
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</li>
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