mel() takes 0 positional arguments but 2 positional arguments (and 3 keyword-only arguments) were given

[WachasWps]

127.0.0.1 - - [26/Dec/2024 02:23:10] "POST /ask HTTP/1.1" 500 -
Press CTRL+C to quit
127.0.0.1 - - [26/Dec/2024 02:32:03] "OPTIONS /ask HTTP/1.1" 200 -
Using cuda for inference.
Reading video frames...
Number of frames available for inference: 1
Traceback (most recent call last):
File "C:\Users\wacha\OneDrive\Desktop\Storage\avatar wav2lip\Wav2Lip\inference.py", line 280, in
main()
File "C:\Users\wacha\OneDrive\Desktop\Storage\avatar wav2lip\Wav2Lip\inference.py", line 225, in main
mel = audio.melspectrogram(wav)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\wacha\OneDrive\Desktop\Storage\avatar wav2lip\Wav2Lip\audio.py", line 47, in melspectrogram
S = _amp_to_db(_linear_to_mel(np.abs(D))) - hp.ref_level_db
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\wacha\OneDrive\Desktop\Storage\avatar wav2lip\Wav2Lip\audio.py", line 95, in _linear_to_mel
_mel_basis = _build_mel_basis()
^^^^^^^^^^^^^^^^^^
File "C:\Users\wacha\OneDrive\Desktop\Storage\avatar wav2lip\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
127.0.0.1 - - [26/Dec/2024 02:32:30] "POST /ask HTTP/1.1" 500 -

[bouldrini]

I encounter a very similar issue when executing following command in collab:

!cd Wav2Lip && python inference.py --checkpoint_path checkpoints/wav2lip_gan.pth --face "../sample_data/test.mp4" --audio "../sample_data/test.wav"

Ill attach my collab-output:

Using cuda for inference.
Reading video frames...
Number of frames available for inference: 375
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 given

CallStack might be different - but at the bottom line both errors are thrown by Method librosa.filters.mel in "/content/Wav2Lip/audio.py", line 100.

Librosa Package is installed a couple Collab-steps before:

!cd Wav2Lip && pip install -r requirements.txt
Collecting librosa==0.7.0 (from -r requirements.txt (line 1))
  Downloading librosa-0.7.0.tar.gz (1.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 32.9 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Collecting numpy==1.17.1 (from -r requirements.txt (line 2))
  Downloading numpy-1.17.1.zip (6.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.5/6.5 MB 64.3 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Requirement already satisfied: opencv-contrib-python>=4.2.0.34 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 3)) (4.10.0.84)
ERROR: Ignored the following yanked versions: 3.4.11.39, 3.4.17.61, 4.4.0.42, 4.4.0.44, 4.5.4.58, 4.5.5.62, 4.7.0.68
ERROR: Could not find a version that satisfies the requirement opencv-python==4.1.0.25 (from versions: 3.4.0.14, 3.4.10.37, 3.4.11.41, 3.4.11.43, 3.4.11.45, 3.4.13.47, 3.4.15.55, 3.4.16.57, 3.4.16.59, 3.4.17.63, 3.4.18.65, 4.3.0.38, 4.4.0.40, 4.4.0.46, 4.5.1.48, 4.5.3.56, 4.5.4.60, 4.5.5.64, 4.6.0.66, 4.7.0.72, 4.8.0.74, 4.8.0.76, 4.8.1.78, 4.9.0.80, 4.10.0.82, 4.10.0.84)
ERROR: No matching distribution found for opencv-python==4.1.0.25

A new Version might be the reason for a interface change of librosa.filters.mel.

It would be awesome if you fix this issue :)

[EzraApple]

The current code in audio.py that calls librosa.filters.mel :

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)

Newer librosa versions use keyword arguments for sample rate (sr) and number of FFT components (n_fft). A quick fix is replacing it with the following:

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)

This is the change in PR #710