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• Trouble with Cross-Origin Headers : Stripe and ffmpeg Integration in Next.js

  7 février 2024, par Duke

  I'm using this excellent template from vercel as a base for my project :

  


  https://vercel.com/templates/next.js/subscription-starter


  


  I've used it for many projects and the Stripe integration works flawlessly. However for a new project I needed to incorporate ffmpeg which relies on SharedArrayBuffer :

  


  https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/SharedArrayBuffer


  


  So I need to set the appropriate HTTP response header which i've set in my next.config.js file as below :

  


        {
        source: '/(.*)',
        headers: [
          {
            key: 'Cross-Origin-Embedder-Policy',
            value: 'credentialless'
            // value: 'require-corp'
          },
          {
            key: 'Cross-Origin-Opener-Policy',
            value: 'same-origin-allow-popups'
          }
        ]
      }


  


  Now the issue is that settings these breaks Stripe. It blocks the request :

  


  https://js.stripe.com/v3/m-outer-3437aaddcdf6922d623e172c2d6f9278.html


  


  Which appearently loads more resources that are needed for the checkout session to function. The customer portal works but checkout doesn't. I've literally tired every possible permutation of headers with different values but in all cases either Stripe works but ffmepg doesn't (cause SharedArrayBuffer doesn't work) or vice versa. It's been a week and I've tired everything and can't find anything online that works. Not even ChatGPT can help which ironcelly asks me to contact Stripe customer support. I would highly appreciate if anyone could even point me in the right direction. I Thank you in advance good Sir/Maam.

  


  Note that Checkout works fine with just :

  


  key: 'Cross-Origin-Opener-Policy',
value: 'same-origin'


  


  Just Cross-Origin-Embedder-Policy breaks it

  


• demucs.api or demucs.pretrained aren't working

  9 décembre 2023, par user22801597

  I created my environment and installed several packages for CUDA 11.8.0 (including demucs, pytorch, torchaudio, ffmpeg...). I want to separate a track with demucs with a python code in spyder (i don't want to do it on the anaconda prompt) however I've tried several codes and they seem not be working. I get errors like :

  


  

  • AttributeError : module 'demucs' has no attribute 'Separator' (1)

  


  • ImportError : cannot import name 'load_pretrained' from 'demucs.pretrained' (2) (C :\Users\User\anaconda3\envs\Pytorch\Lib\site-packages\demucs\pretrained.py)

  


  • ModuleNotFoundError : No module named 'demucs.api' (3)

  


  • ModuleNotFoundError : No module named 'demucs.model'(4)

  


  


  So through the errors I assume my demucs package isn't working correctly but I don't know why. I've done the following (I'Ve found this either in google or in chatgpt) :

  


  

  • Checked Library Versions

  


  • Upgraded demucs and other packages
-deinstalled and reinstalled it
Can someone please help me to solve this ? What am I doing worng or why is demucs not working correctly ?

  


  


  This are the different codes I tested according to their errors above :

  


  (1)

  


     import demucs
   separator = demucs.Separator()
   model = demucs.load_pretrained('demucs')
   audio_sources = separator.separate('Zweite_Aufnahme_mit_Piano.wav')
   for source_name, source_audio in audio_sources.items():
       source_audio.to_file(source_name + '.wav')



  


  (2)

  


     import torchaudio
   from demucs.pretrained import load_pretrained
   import soundfile as sf
   import os

   input_audio_file = 'Zweite_Aufnahme_mit_Piano.wav'
   output_directory = 'Separated_audios'

   model = load_pretrained('demucs_quantized')

   audio, _ = torchaudio.load(input_audio_file)

   sources = model(audio)

   os.makedirs(output_directory, exist_ok=True)

   for i, source in enumerate(sources):
       source_path = os.path.join(output_directory, f'source_{i}.wav')
       sf.write(source_path, source[0].numpy(), 44100)

   print("Source separation complete. Separated sources saved in the output directory.")



  


  (3)

  


     from pydub import AudioSegment
   import IPython
   import numpy as np
   import demucs.api
   import pathlib
   import torch

   audiosegment = AudioSegment.from_mp3("Zweite_Aufnahme_mit_Piano.wav")
   arr = audiosegment.get_array_of_samples()
   sr = audiosegment.frame_rate
   ch = audiosegment.channels
   aac = np.array(arr, dtype=np.float32).reshape((-1, ch))
   aac = aac[30*sr:40*sr,:]
   IPython.display.Audio(aac[:, 0], rate=sr)

   separator = demucs.api.Separator()
   model = separator.load_model()
   input = torch.from_numpy(aac.reshape((ch, -1)))
   separator.add_track("born", input)
   separated = separator.separate_loaded_audio()
   for (file, stems) in separated:
       for stem, waveform in stems.items():
         print(stem)
         print(waveform.shape)
         aac_again = waveform.numpy().reshape((-1, ch))
         IPython.display.display(IPython.display.Audio(aac_again[:,0], rate=sr))



  


  (4)

  


     import torchaudio
   from demucs.model import load_pretrained

   audio, sample_rate = torchaudio.load('Zweite_Aufnahme_mit_Piano.wav')
   model = load_pretrained('demucs')
   separated_sources = model(audio)
   torchaudio.save('vocals.wav', separated_sources['vocals'], sample_rate)
   torchaudio.save('accompaniment.wav', separated_sources['accompaniment'], sample_rate)
   torchaudio.save('drums.wav', separated_sources['drums'], sample_rate)
   torchaudio.save('bass.wav', separated_sources['bass'], sample_rate)


  


• h265_videotoolbox for Apple Chips Not working with ffmpeg

  22 janvier 2024, par Martin Julien

  I have a 16-inch Macbook Pro.
System :
Model Name : MacBook Pro
Chip : Apple M1 Max
Total Number of Cores : 10 (8 performance and 2 efficiency)
Memory : 64 GB

  


  You can take advantage of apple chips to encode faster by replacing the usual line :
-c:v libx265 by -c:v h265_videotoolbox.

  


  Here's an example.
Since h265 doesn't work at the moment, here's a line that works just fine :

  


  for i in *.mp4; do ffmpeg -i "$i" -c:v h264_videotoolbox -b:v 2000k -c:a aac -b:a 192k -s 1920x1080 -threads 8 "${i%.*}_1.mp4"; done

  


  The version of ffmpeg installed on my mac is the latest : 6.1.1

  


  My problem :
I want to encode in h265. My command line is :
for i in *.mp4; do ffmpeg -i "$i" -c:v h265_videotoolbox -b:v 2000k -c:a aac -b:a 192k -s 1920x1080 -threads 8 "${i%.*}_1.mp4"; done

  


  Everything should work in theory. But I get this from the Shell :

  


  [vost#0:0 @ 0x150f06fd0] Unknown encoder 'h265_videotoolbox' [vost#0:0 @ 0x150f06fd0] Error selecting an encoder Error opening output file Denis_1.mp4. Error opening output files: Encoder not found

  


  My attempts :

  


  I spent a lot of time with ChatGPT to solve the problem, but nothing worked. So I'm asking the question here to see if anyone has had the same problem as me and if there's a solution to fix it.

  


  Thank you for your help,

  


  best regards,
Martin