(sparse2dgs) PS F:\Sparse2DGS-main> python train.py -s ./dataset/dtu_sparse/scan24 -m ./output/scan24
Optimizing ./output/scan24
Output folder: ./output/scan24 [07/06 15:31:00]
Reading camera 3/3 [07/06 15:31:00]
Loading Training Cameras [07/06 15:31:00]
Loading Test Cameras [07/06 15:31:02]
successfully building CLMVSNet model ! [07/06 15:31:02]
load pretrained model from MVS/weight/model_clmvsnet.ckpt [07/06 15:31:02]
cal 0023 mvs depth [07/06 15:31:02]
E:\Anaconda_2023\envs\sparse2dgs\lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally
at C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\TensorShape.cpp:3484.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
E:\Anaconda_2023\envs\sparse2dgs\lib\site-packages\torch\nn\functional.py:4236: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify a
lign_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
warnings.warn(
mvs_features dim is torch.Size([1, 8, 576, 768]) [07/06 15:31:02]
cal 0024 mvs depth [07/06 15:31:02]
mvs_features dim is torch.Size([1, 8, 576, 768]) [07/06 15:31:02]
cal 0033 mvs depth [07/06 15:31:02]
mvs_features dim is torch.Size([1, 8, 576, 768]) [07/06 15:31:04]
Number of points at initialisation : 1327104 [07/06 15:31:05]
Training progress: 20%|███████████████▏ | 1400/7000 [26:39<1:41:29, 1.09s/it, Loss=0.01544, distort=0.00020, normal=0.00000, Points=1327104]
