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• convert m3u8 to mp4 and simultaneously downloadable using http protocol

  12 juin 2020, par akshaybhuradia

  I want to convert m3u8 to mp4 and i would like to do conversion as well as download on same time. for download i have used http protocol of ffmpeg.

  



  I am running this command

  



  ffmpeg -i ultra.m3u8 -c copy -listen 1 -seekable 1 -f mp4 http://0.0.0.0:8080/test.mp4

  



  when i trigger this url("http://0.0.0.0:8080/test.mp4"), then file start's download, but i am not able to play video.

  



  and i get error when all chunks are read:

    [hls @ 0x55da053b4100] Opening 'ultra177.ts' for reading
    [tcp @ 0x55da0540f940] Connection to tcp://0.0.0.0:8080 failed: Connection refused
    [tcp @ 0x55da05520480] Connection to tcp://0.0.0.0:8080 failed: Connection refused
    [tcp @ 0x55da053ca780] Connection to tcp://0.0.0.0:8080 failed: Connection refused
    [tcp @ 0x55da05485f80] Connection to tcp://0.0.0.0:8080 failed: Connection refused
    [tcp @ 0x55da053ced40] Connection to tcp://0.0.0.0:8080 failed: Connection refused
    [tcp @ 0x55da054255c0] Connection to tcp://0.0.0.0:8080 failed: Connection refused
    [tcp @ 0x55da0540f940] Connection to tcp://0.0.0.0:8080 failed: Connection refused
    [tcp @ 0x55da05435380] Connection to tcp://0.0.0.0:8080 failed: Connection refused

frame=53236 fps=7939 q=-1.0 Lsize=  476447kB time=00:29:36.30 bitrate=2197.3kbits/s speed= 265x
video:446847kB audio:28278kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.278083%


  


• tf.contrib.signal.stft returns an empty matrix

  9 décembre 2017, par matt-pielat

  This is the piece of code I run :

  import tensorflow as tf
  
  
  
  sess = tf.InteractiveSession()
  
  
  
  filename = 'song.mp3' # 30 second mp3 file
  
  SAMPLES_PER_SEC = 44100
  
  
  
  audio_binary = tf.read_file(filename)
  
  
  
  pcm = tf.contrib.ffmpeg.decode_audio(audio_binary, file_format='mp3', samples_per_second=SAMPLES_PER_SEC, channel_count = 1)
  
  stft = tf.contrib.signal.stft(pcm, frame_length=1024, frame_step=512, fft_length=1024)
  
  
  
  sess.close()

  The mp3 file is properly decoded because print(pcm.eval().shape) returns :

  (1323119, 1)

  And there are even some actual non-zero values when I print them with print(pcm.eval()[1000:1010]) :

  [[ 0.18793298]
  
   [ 0.16214484]
  
   [ 0.16022217]
  
   [ 0.15918455]
  
   [ 0.16428113]
  
   [ 0.19858395]
  
   [ 0.22861415]
  
   [ 0.2347789 ]
  
   [ 0.22684409]
  
   [ 0.20728172]]

  But for some reason print(stft.eval().shape) evaluates to :

  (1323119, 0, 513) # why the zero dimension?

  And therefore print(stft.eval()) is :

  []

  According to this the second dimension of the tf.contrib.signal.stft output is equal to the number of frames. Why are there no frames though ?

• Stream specifier '' in filtergraph description [0][1]concat=a=1:n=1:v=1[s0] matches no streams

  9 août 2020, par Tanmoy Bhowmick

  i am trying to concatenate two audio files in django with ffmpeg but getting this error Stream specifier '' in filtergraph description [0][1]concat=a=1:n=1:v=1[s0] matches no streams.`

  


  here is my function

  


  def audiomarge(request):
    recorded_audio = request.FILES['audio']
    new = tempSong(tempSongFile=recorded_audio)
    new.tempSongFile.name = 'test.wav'
    new.save()
    record_file_path = new.tempSongFile.path
    record_file_path = str(record_file_path)
    recorded_audio = request.POST.get('audio')
    songslug = request.POST.get('songslug')
    current_song = Song.objects.filter(slug=songslug)[0]
    current_song_path = current_song.songFile.url 
    current_song_path = '.'+(str(current_song_path))
    
    input_first = ffmpeg.input(current_song_path)
    input_second = ffmpeg.input(record_file_path)


    ffmpeg.concat(input_first, input_second, v=1, a=1).output('./finished_video.wav').run()
    return HttpResponse('okay')


  


  i have also tried .compile() instead of .run() in this case nothing is happening