Spaces:
Running
on
Zero
Running
on
Zero
gpu setup
Browse files- inference/inference.py +2 -2
- requirements.txt +1 -1
inference/inference.py
CHANGED
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@@ -77,7 +77,7 @@ def get_heatmap_rgb(model, data, N_CHUNKS=5): # evaluate loader can only have ba
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heatmap_rgb = torch.tensor(plt.cm.jet(scores.numpy())[:,:3]).squeeze()
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return heatmap_rgb
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-
@spaces.GPU
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def segment_obj(xyz, rgb, normal, queries):
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model = load_model()
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data_dict = preprocess_pcd(torch.tensor(xyz).float().to(DEVICE), torch.tensor(rgb).float().to(DEVICE), torch.tensor(normal).float().to(DEVICE))
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@@ -85,7 +85,7 @@ def segment_obj(xyz, rgb, normal, queries):
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seg_rgb = get_segmentation_rgb(model, data_dict)
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return seg_rgb
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-
@spaces.GPU
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def get_heatmap(xyz, rgb, normal, query):
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model = load_model()
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data_dict = preprocess_pcd(torch.tensor(xyz).float().to(DEVICE), torch.tensor(rgb).float().to(DEVICE), torch.tensor(normal).float().to(DEVICE))
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heatmap_rgb = torch.tensor(plt.cm.jet(scores.numpy())[:,:3]).squeeze()
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return heatmap_rgb
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+
@spaces.GPU
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def segment_obj(xyz, rgb, normal, queries):
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model = load_model()
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data_dict = preprocess_pcd(torch.tensor(xyz).float().to(DEVICE), torch.tensor(rgb).float().to(DEVICE), torch.tensor(normal).float().to(DEVICE))
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seg_rgb = get_segmentation_rgb(model, data_dict)
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return seg_rgb
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+
@spaces.GPU
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def get_heatmap(xyz, rgb, normal, query):
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model = load_model()
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data_dict = preprocess_pcd(torch.tensor(xyz).float().to(DEVICE), torch.tensor(rgb).float().to(DEVICE), torch.tensor(normal).float().to(DEVICE))
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requirements.txt
CHANGED
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@@ -24,7 +24,7 @@ scipy
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plyfile
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termcolor
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timm
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-
spconv
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transformers
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open3d
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sentencepiece
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plyfile
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termcolor
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timm
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+
spconv-cu118
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transformers
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open3d
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sentencepiece
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