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mel() error #550
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Don't know if it will helpful for you but I have created a repository that fixes the running for inference using the pretrained model. here is the link https://github.com/HassanMuhammadSannaullah/Wav2lip-Fix-For-Inference |
pip install librosa == 0.8.0 |
when using librosa>=0.10.0, you should fix “_build_mel_basis()” in audio.py def _build_mel_basis():
assert hp.fmax <= hp.sample_rate // 2
return librosa.filters.mel(sr=hp.sample_rate, n_fft=hp.n_fft, n_mels=hp.num_mels,
fmin=hp.fmin, fmax=hp.fmax) |
Thanks for sharing, this change works for me |
You're a lifesaver! Thank you very much :) |
when I run the project in the colab,
i will show the error below:
Using cuda for inference.
Reading video frames...
Number of frames available for inference: 223
Traceback (most recent call last):
File "/content/Wav2Lip/inference.py", line 280, in
main()
File "/content/Wav2Lip/inference.py", line 225, in main
mel = audio.melspectrogram(wav)
File "/content/Wav2Lip/audio.py", line 47, in melspectrogram
S = _amp_to_db(_linear_to_mel(np.abs(D))) - hp.ref_level_db
File "/content/Wav2Lip/audio.py", line 95, in _linear_to_mel
_mel_basis = _build_mel_basis()
File "/content/Wav2Lip/audio.py", line 100, in _build_mel_basis
return librosa.filters.mel(hp.sample_rate, hp.n_fft, n_mels=hp.num_mels,
TypeError: mel() takes 0 positional arguments but 2 positional arguments (and 3 keyword-only arguments) were given
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