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Number of points to split: 18
Number of points to clone: 0
Number of points to split: 0
Traceback (most recent call last):
File "train.py", line 409, in
training()
File "train.py", line 287, in training
scalars, tensors = gaussians.densify_and_prune(
File "/home/detection/zhouyue/street_gaussians/lib/models/street_gaussian_model.py", line 588, in densify_and_prune
scalars_, tensors_ = model.densify_and_prune(max_grad, min_opacity, prune_big_points)
File "/home/detection/zhouyue/street_gaussians/lib/models/gaussian_model_actor.py", line 246, in densify_and_prune
torch.all((samples_xyz >= self.min_xyz).view(num_gaussians, -1), dim=-1),
RuntimeError: cannot reshape tensor of 0 elements into shape [0, -1] because the unspecified dimension size -1 can be any value and is ambiguous
36%|██████████████████████████████████████▏ | 18200/50000 [3:04:46<5:22:51,
Do you know what this problem is?
The text was updated successfully, but these errors were encountered:
Number of points to split: 18
Number of points to clone: 0
Number of points to split: 0
Traceback (most recent call last):
File "train.py", line 409, in
training()
File "train.py", line 287, in training
scalars, tensors = gaussians.densify_and_prune(
File "/home/detection/zhouyue/street_gaussians/lib/models/street_gaussian_model.py", line 588, in densify_and_prune
scalars_, tensors_ = model.densify_and_prune(max_grad, min_opacity, prune_big_points)
File "/home/detection/zhouyue/street_gaussians/lib/models/gaussian_model_actor.py", line 246, in densify_and_prune
torch.all((samples_xyz >= self.min_xyz).view(num_gaussians, -1), dim=-1),
RuntimeError: cannot reshape tensor of 0 elements into shape [0, -1] because the unspecified dimension size -1 can be any value and is ambiguous
36%|██████████████████████████████████████▏ | 18200/50000 [3:04:46<5:22:51,
Do you know what this problem is?
The text was updated successfully, but these errors were encountered: