BrokenPipeError: [Errno 32] Broken pipe

[DerryChan]

python inference.py --input_video=assets/inputdemovideo.mp4 --output_video=exp/output_demo.mp4

/root/miniconda3/envs/pgtformer/lib/python3.8/site-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
/root/miniconda3/envs/pgtformer/lib/python3.8/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 ../aten/src/ATen/native/TensorShape.cpp:3483.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Working with z of shape (1, 256, 32, 32) = 262144 dimensions.
Traceback (most recent call last):
File "inference.py", line 156, in
process_video_ffmpeg(args.input_video, args.output_video, model)
File "inference.py", line 65, in process_video_ffmpeg
pipe_out.stdin.write(processed_frame.tobytes())
BrokenPipeError: [Errno 32] Broken pipe

[kepengxu]

may be not have exp folder? you can show me full log(^_^)

[kackbob]

first,you create exp folder in project,then run it

[huangxin168]

same error! have mkdir exp