You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello, thank you very much for your work. I encountered this issue when reconstructing my dataset. I used single-channel black and white images.
TRAINING START
validating: 0%| | 0/4 [00:00<?, ?it/s]C:\ProgramData\anaconda3\envs\barf-env\Lib\site-packages\torch\functional.py:507: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\TensorShape.cpp:3550.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Traceback (most recent call last):
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\train.py", line 33, in
main()
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\train.py", line 30, in main
m.train(opt)
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\model\nerf.py", line 54, in train
if self.iter_start==0: self.validate(opt,0)
^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\envs\barf-env\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\model\barf.py", line 66, in validate
super().validate(opt,ep=ep)
File "C:\ProgramData\anaconda3\envs\barf-env\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\model\base.py", line 153, in validate
loss = self.graph.compute_loss(opt,var,mode="val")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\model\nerf.py", line 218, in compute_loss
image = var.image.view(batch_size,3,opt.Hopt.W).permute(0,2,1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: shape '[1, 3, 160000]' is invalid for input of size 0
The text was updated successfully, but these errors were encountered:
Hello, thank you very much for your work. I encountered this issue when reconstructing my dataset. I used single-channel black and white images.
TRAINING START
validating: 0%| | 0/4 [00:00<?, ?it/s]C:\ProgramData\anaconda3\envs\barf-env\Lib\site-packages\torch\functional.py:507: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\TensorShape.cpp:3550.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Traceback (most recent call last):
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\train.py", line 33, in
main()
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\train.py", line 30, in main
m.train(opt)
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\model\nerf.py", line 54, in train
if self.iter_start==0: self.validate(opt,0)
^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\envs\barf-env\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\model\barf.py", line 66, in validate
super().validate(opt,ep=ep)
File "C:\ProgramData\anaconda3\envs\barf-env\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\model\base.py", line 153, in validate
loss = self.graph.compute_loss(opt,var,mode="val")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\3dgs\gaosi\bundle-adjusting-NeRF-main\bundle-adjusting-NeRF-main\model\nerf.py", line 218, in compute_loss
image = var.image.view(batch_size,3,opt.Hopt.W).permute(0,2,1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: shape '[1, 3, 160000]' is invalid for input of size 0
The text was updated successfully, but these errors were encountered: