Face swapping: "shinzo_abe_seq00.mp4" -> "conan_obrien_seq00.mp4"...
0%|
Traceback (most recent call last):
File "swap.py", line 505, in
main(vars(parser.parse_args()))
File "swap.py", line 499, in main
face_swapping(source[0], target[0], output, select_source, select_target)
File "swap.py", line 315, in call
reenactment_seg = self.S(reenactment_tensor)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, *kwargs)
File "/data0/data/dev/projects/fsgan/models/simple_unet_02.py", line 71, in forward
up4 = self.up_concat4(conv4, center)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(input, kwargs)
File "/data0/data/dev/projects/fsgan/models/simple_unet_02.py", line 137, in forward
outputs2 = self.conv1d(outputs2,)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 302, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 298, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,
RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [8, 1024, 32, 32]
environment: torch-1.11.0+cu113 torchaudio-0.11.0+cu113 torchvision-0.12.0+cu113 yacs-0.1.8
command: python swap.py ../docs/examples/shinzo_abe.mp4 -t ../docs/examples/conan_obrien.mp4 -o . --finetune --finetune_save --seg_remove_mouth -ec='mp4v'
Face swapping: "shinzo_abe_seq00.mp4" -> "conan_obrien_seq00.mp4"... 0%|
main(vars(parser.parse_args()))
File "swap.py", line 499, in main
face_swapping(source[0], target[0], output, select_source, select_target)
File "swap.py", line 315, in call
reenactment_seg = self.S(reenactment_tensor)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, *kwargs)
File "/data0/data/dev/projects/fsgan/models/simple_unet_02.py", line 71, in forward
up4 = self.up_concat4(conv4, center)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(input, kwargs)
File "/data0/data/dev/projects/fsgan/models/simple_unet_02.py", line 137, in forward
outputs2 = self.conv1d(outputs2,)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 302, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/data0/anaconda3/envs/snakes/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 298, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,
RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [8, 1024, 32, 32]
Traceback (most recent call last): File "swap.py", line 505, in