RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
Issue on 2b Feature Extraction
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- Dominant language
- Python
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Description
When i try to feature extraction, it becomes like this, there's no f0ing or something:
loading rmvpe model
2023-08-30 03:41:30 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
f0fail-71-/content/Retrieval-based-Voice-Conversion-WebUI/logs/Raisu/1_16k_wavs/151_3.wav-Traceback (most recent call last):
File "/content/Retrieval-based-Voice-Conversion-WebUI/infer/modules/train/extract/extract_f0_print.py", line 126, in go
featur_pit = self.compute_f0(inp_path, f0_method)
File "/content/Retrieval-based-Voice-Conversion-WebUI/infer/modules/train/extract/extract_f0_print.py", line 89, in compute_f0
self.model_rmvpe = RMVPE(
File "/content/Retrieval-based-Voice-Conversion-WebUI/infer/lib/rmvpe.py", line 585, in init
ckpt = torch.load(model_path, map_location="cpu")
File "/usr/local/lib/python3.10/dist-packages/torch/serialization.py", line 791, in load
with _open_file_like(f, 'rb') as opened_file:
File "/usr/local/lib/python3.10/dist-packages/torch/serialization.py", line 271, in _open_file_like
return _open_file(name_or_buffer, mode)
File "/usr/local/lib/python3.10/dist-packages/torch/serialization.py", line 252, in init
super().init(open(name, mode))
FileNotFoundError: [Errno 2] No such file or directory: 'assets/rmvpe/rmvpe.pt'
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with infer/modules/train/extract/extract_f0_print.py and follow its RMVPE initialization into infer/lib/rmvpe.py. Reproduce feature extraction and verify whether the referenced assets/rmvpe/rmvpe.pt path is available; done means extraction completes without the reported FileNotFoundError and produces the expected f0 output.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100