global_only: debug
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@@ -34,7 +34,7 @@ class NBVReconstructionDataset(BaseDataset):
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#self.model_dir = config["model_dir"]
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self.filter_degree = config["filter_degree"]
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if self.type == namespace.Mode.TRAIN:
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scale_ratio = 100
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scale_ratio = 50
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self.datalist = self.datalist*scale_ratio
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if self.cache:
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expr_root = ConfigManager.get("runner", "experiment", "root_dir")
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@@ -206,14 +206,9 @@ class NBVReconstructionDataset(BaseDataset):
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collate_data["combined_scanned_pts"] = torch.stack(
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[torch.tensor(item["combined_scanned_pts"]) for item in batch]
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)
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collate_data["scanned_pts_mask"] = torch.stack(
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[torch.tensor(item["scanned_pts_mask"]) for item in batch]
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)
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for key in batch[0].keys():
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if key not in [
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"scanned_pts",
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"scanned_pts_mask",
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"scanned_n_to_world_pose_9d",
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"best_to_world_pose_9d",
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"combined_scanned_pts",
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