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Browse files- app.py +0 -2
- requirements.txt +2 -1
app.py
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@@ -27,8 +27,6 @@ from data.fintune_dataset import pc_norm
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from functools import partial
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import glob
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import os
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print(os.path.dirname(os.path.abspath(__file__)))
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T_random_resized_crop = transforms.Compose([
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transforms.RandomResizedCrop(size=(224, 224), scale=(0.9, 1.0), ratio=(0.75, 1.3333), interpolation=3,
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from functools import partial
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import glob
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T_random_resized_crop = transforms.Compose([
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transforms.RandomResizedCrop(size=(224, 224), scale=(0.9, 1.0), ratio=(0.75, 1.3333), interpolation=3,
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requirements.txt
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@@ -12,4 +12,5 @@ torchaudio
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matplotlib
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flash-attn
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gradio
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plotly
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matplotlib
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flash-attn
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gradio
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plotly
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/home/user/app/model/lib/pointnet2
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