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hofee
2024-10-29 16:21:30 +00:00
parent 2487039445
commit e23697eb87
3 changed files with 18 additions and 23 deletions
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7
core/nbv_dataset.py
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@@ -34,7 +34,7 @@ class NBVReconstructionDataset(BaseDataset):
#self.model_dir = config["model_dir"]
self.filter_degree = config["filter_degree"]
if self.type == namespace.Mode.TRAIN:
scale_ratio = 100
scale_ratio = 50
self.datalist = self.datalist*scale_ratio
if self.cache:
expr_root = ConfigManager.get("runner", "experiment", "root_dir")
@@ -206,14 +206,9 @@ class NBVReconstructionDataset(BaseDataset):
collate_data["combined_scanned_pts"] = torch.stack(
[torch.tensor(item["combined_scanned_pts"]) for item in batch]
)
collate_data["scanned_pts_mask"] = torch.stack(
[torch.tensor(item["scanned_pts_mask"]) for item in batch]
)
for key in batch[0].keys():
if key not in [
"scanned_pts",
"scanned_pts_mask",
"scanned_n_to_world_pose_9d",
"best_to_world_pose_9d",
"combined_scanned_pts",

6
core/pipeline.py
View File

@@ -20,8 +20,8 @@ class NBVReconstructionPipeline(nn.Module):
self.pose_encoder = ComponentFactory.create(
namespace.Stereotype.MODULE, self.module_config["pose_encoder"]
)
self.transformer_seq_encoder = ComponentFactory.create(
namespace.Stereotype.MODULE, self.module_config["transformer_seq_encoder"]
self.seq_encoder = ComponentFactory.create(
namespace.Stereotype.MODULE, self.module_config["seq_encoder"]
)
self.view_finder = ComponentFactory.create(
namespace.Stereotype.MODULE, self.module_config["view_finder"]
@@ -107,7 +107,7 @@ class NBVReconstructionPipeline(nn.Module):
seq_embedding = pose_feat_seq
embedding_list_batch.append(seq_embedding) # List(B): Tensor(S x (Dp))
seq_feat = self.transformer_seq_encoder.encode_sequence(embedding_list_batch) # Tensor(B x Ds)
seq_feat = self.seq_encoder.encode_sequence(embedding_list_batch) # Tensor(B x Ds)
main_feat = torch.cat([seq_feat, global_scanned_feat], dim=-1) # Tensor(B x (Ds+Dg))
if torch.isnan(main_feat).any():