sahreen-haider
commented
8 months ago Colab Notebook example cannot be run error message:
Using cuda for inference. Reading video frames... Number of frames available for inference: 210 Traceback (most recent call last): File "/content/Wav2Lip/inference.py", line 280, in <module> 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 givenwhy && how to fix?
lets debug the error:
The above is a TypeError: indicating librosa.filter.mel() got 0 positional arguments are given, which indeed aren't needed.
going to audio.py line 100, the arguments are there for a specific purpose like for sampling rate, The number of samples used in each block for the Fourier transform, The number of Mel filters to generate, The lowest frequency (in Hz) of the Mel filters, The highest frequency (in Hz) of the Mel filters.
The below code does which is throwing the error looks something like the below.
def _build_mel_basis(): assert hp.fmax <= hp.sample_rate // 2 return librosa.filters.mel(hp.sample_rate, hp.n_fft, n_mels=hp.num_mels, fmin=hp.fmin, fmax=hp.fmax)
But as far as I can make a sense of it the code is pretty legit and shouldn't be raising an error,
Now navigating through several files and looking through a bunch of code,
what I can guess is the format expected here is 'wav' for audio.
So please look for the audio format that your are using, if the audio is not 'wav' then it needs to be changed.
isold23
davidkundrats
Leungsiuyin
Arslan-Mehmood1
Colab Notebook example cannot be run error message:
Using cuda for inference. Reading video frames... Number of frames available for inference: 210 Traceback (most recent call last): File "/content/Wav2Lip/inference.py", line 280, in <module> 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 givenwhy && how to fix?