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add .npy dataset handling #12

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12 changes: 12 additions & 0 deletions sft/datasets/dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,5 +55,17 @@ def __getitem__(self, idx: int) -> Dict:
if len(pc_normal)>self.point_num:
indices = np.random.choice(len(pc_normal), self.point_num, replace=False)
pc_normal = pc_normal[indices]
elif self.uid_list[idx].split(".")[-1] == "npy":
# Load the .npy file which should have shape (N, 6)
pc_normal = np.load(f"{self.path}/{self.uid_list[idx]}")
# Ensure the data has the expected shape
if pc_normal.shape[1] != 6:
raise ValueError(f"Expected .npy file with shape (N, 6), but got shape {pc_normal.shape}")
# Reorder dimensions if needed to match the expected format [z,x,y,nz,nx,ny]
pc_normal = pc_normal[:, [2, 0, 1, 5, 3, 4]]
# Sample points if we have more than needed
if len(pc_normal) > self.point_num:
indices = np.random.choice(len(pc_normal), self.point_num, replace=False)
pc_normal = pc_normal[indices]
data['pc_normal'] = torch.tensor(pc_normal)
return data