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• Run python ffmpeg audio convertion code file from subprocess.call() within a flask server

  11 novembre 2019, par Kasun

  I have build a small flask server to handle the request. I have 3 parameters in the api function that i want to get. those are type, user_id, audio_file, One is a file. Since it’s used for the audio file conversion. I have to get a file.. I have tested with this in Postman audio file get saved but the subprocess.call(command) in the api function doesn’t work..

  this is the flask server code

  @app.route('/voice', methods=['GET','POST'])
  
  def process_audio():
  
   try:
  
      if request.method == 'POST':
  
          input_type = request.form['type']
  
          user_id = request.form['user_id']
  
          static_file = request.files['audio_file']
  
          audio_name = secure_filename(static_file.filename)
  
          path = 't/'
  
          status = static_file.save(path + audio_name)
  
          full_file = path + audio_name
  
          if input_type == 1:
  
              cmd = "python t/convert_english.py --audio " + full_file
  
              res = subprocess.call([cmd],shell=True)
  
              f = open('t/ress.txt', 'w')
  
              f.write(str(res))
  
              f.close()
  
              return "true"
  
          else:
  
              cmd = "python t/convert_sinhala.py --audio " + full_file
  
              os.system(cmd)
  
              return "true"
  
      else:
  
          return "false"
  
  
  
  except Exception as e:
  
      print(e)
  
      logger.error(e)
  
      return e

  The audio file get saved in the directory as expected..

  this is the convert_english.py

  import subprocess
  
  import argparse
  
  import os
  
  import logging
  
  import speech_recognition as sr
  
  from tqdm import tqdm
  
  from multiprocessing.dummy import Pool
  
  
  
  #subprocess.call('pip install pydub',shell=True)
  
  
  
  from os import path
  
  from pydub import AudioSegment
  
  
  
  logging.basicConfig(filename='/var/www/img-p/t/ee.log', level=logging.DEBUG, 
  
                      format='%(asctime)s %(levelname)s %(name)s %(message)s')
  
  logger=logging.getLogger(__name__)
  
  
  
  ap = argparse.ArgumentParser()
  
  ap.add_argument("-a", "--audio", required=True,
  
      help="path to input audio file")
  
  args = vars(ap.parse_args())
  
  
  
  src = args["audio"]
  
  dst = "audio.wav"
  
  
  
  sound = AudioSegment.from_mp3(src)
  
  sound.export(dst, format="wav")
  
  
  
  #subprocess.call('pip install ffmpeg-python',shell=True)
  
  
  
  subprocess.call('mkdir parts',shell=True)
  
  
  
  subprocess.call('ffmpeg -i audio.wav -f segment -segment_time 30 -c copy parts/out%09d.wav',shell=True)
  
  
  
  #subprocess.call('pip install SpeechRecognition',shell=True)
  
  
  
  
  
  pool = Pool(8) # Number of concurrent threads
  
  
  
  with open("api-key.json") as f:
  
      GOOGLE_CLOUD_SPEECH_CREDENTIALS = f.read()
  
  
  
  r = sr.Recognizer()
  
  files = sorted(os.listdir('parts/'))
  
  
  
  def transcribe(data):
  
      idx, file = data
  
      name = "parts/" + file
  
      print(name + " started")
  
      # Load audio file
  
      with sr.AudioFile(name) as source:
  
          audio = r.record(source)
  
      # Transcribe audio file
  
      text = r.recognize_google_cloud(audio, credentials_json=GOOGLE_CLOUD_SPEECH_CREDENTIALS)
  
      print(name + " done")
  
      return {
  
          "idx": idx,
  
          "text": text
  
      }
  
  
  
  all_text = pool.map(transcribe, enumerate(files))
  
  pool.close()
  
  pool.join()
  
  
  
  transcript = ""
  
  for t in sorted(all_text, key=lambda x: x['idx']):
  
      total_seconds = t['idx'] * 30
  
      # Cool shortcut from:
  
      # https://stackoverflow.com/questions/775049/python-time-seconds-to-hms
  
      # to get hours, minutes and seconds
  
      m, s = divmod(total_seconds, 60)
  
      h, m = divmod(m, 60)
  
  
  
      # Format time as h:m:s - 30 seconds of text
  
      transcript = transcript + "{:0>2d}:{:0>2d}:{:0>2d} {}\n".format(h, m, s, t['text'])
  
  
  
  print(transcript)
  
  
  
  with open("transcript.txt", "w") as f:
  
      f.write(transcript)
  
  
  
  f = open("transcript.txt")
  
  lines = f.readlines()
  
  f.close()
  
  f = open("transcript.txt", "w", encoding="utf-8")
  
  for line in lines:
  
      f.write(line[8:])
  
  f.close()

  The thing is above code works when i manually run the command -> python t/convert_english.py —audio t/tttttttttt.mp3 like this in the terminal..

  But when i try to run from the flask server itself it doesn’t works.. And I’m not getting an error either.

• FFMpeg kills itself when restreaming http to rtmp

  22 novembre 2019, par dust19992

  We are trying to restream few stations to our Emby server (alternative to plex), but always when we start the command as provided by many cast-software it runs for some time and then it dies.

  Here is our command :

  ffmpeg -i http://URL/IP:1515/station/discoverychannel/15HD -c:a aac -b:a 96k -ar 44100 -vcodec copy -f flv rtmp://server/discoverystation/15HD

  The error is none the only exit message is :

    Stream #0:0 -> #0:0 (copy)
  
    Stream #0:1 -> #0:1 (aac (native) -> aac (native))
  
  Press [q] to stop, [?] for help
  
  frame=33056 fps= 60 q=-1.0 Lsize=  302387kB time=00:09:11.45 bitrate=4492.0kbits/s speed=1.01x
  
  video:295223kB audio:6576kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.194924%
  
  [aac @ 0x55b6a748ee40] Qavg: 583.684
  
  Exiting normally, received signal 2 
  
  root@simpsons:~#```
  
  
  
  
  
  Our server is WOWZA media server, and we have been looking for the problem for some time now, but without any success, so we hope you guys can help us figure it out, we are trying to copy the live video as it is, and we do not want to change the encoding, or anything else, but if necessary then it has to be encoded.
  
  
  
  I have not much experience in ffmpeg but we have been using VMIX that uses ffmpeg and it's running smooth there to the server without dying, so there has to be a way to run that with the ffmpeg standalone. 
  
  
  
  Here is the WOWZA restream manual: https://www.wowza.com/docs/how-to-restream-using-ffmpeg-with-wowza-streaming-engine
  
  
  
  Thanks.

• fluent-ffmpeg from an array of input files

  30 juillet 2017, par leonard vertighel

  I want to use fluent-ffmpeg to create a video of last n images of a directory, or database entries.

  Which is the correct syntax ?

  These are my tries :

  Mimic shell command

  ffmpeg()
  
    .addInput('ls *png | tail -n 17')
  
    .inputOptions("-pattern_type glob")
  
    .output("output.mp4").run()

  but it does not accept shell commands ;

  space - separated paths

  ffmpeg()
  
    .addInput('a*.png b*.png ')
  
    .inputOptions("-pattern_type glob")
  
    .output("output.mp4").run()

  but it does not accept list of files separated by spaces ;

  Array of image paths

  ffmpeg()
  
    .addInput(array) // ['aa.png', 'a1.png',,,'bbb.png']
  
    .inputOptions("-pattern_type glob")
  
    .output("output.mp4").run()

  but it does not accept arrays.

  EDIT :

  Also, from Merge Multiple Videos using node fluent ffmpeg, I am able to add multiple inputs using an array of files as

  var ffmpeg= require('fluent-ffmpeg');
  
  var f=ffmpeg() 
  
  pngarr.forEach(p => f.input(p)) /// pngarr is my array of png paths

  But running

  f.output("./output.mp4").run()

  I obtain just a video of 0 seconds containing the first png of the list.