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• Unable to open audio file on Heroku using Librosa

  15 mars 2020, par Rohan Bojja

  I have a feature extraction REST API written in Python using the Librosa library (Extracting audio features), it receives an audio file through HTTP POST and responds with a list of features(such as MFCC,etc).

  Since librosa depends on SoundFile (libsndfile1 / libsndfile-dev), it doesn’t support all the formats, I’m converting the audio file using ffmpeg-python wrapper (https://kkroening.github.io/ffmpeg-python/) .

  It works just fine on my Windows 10 machine with Conda, but when I deploy it on Heroku, the librosa.load() functions returns an unknown format error, no matter what format I convert it to. I have tried FLAC, AIFF and WAV.

  My first guess is that the converted format isn’t supported by libsndfile1, but it works on my local server (plus, their documentation says AIFF and WAV are supported), so I’m a little lost.

  I have attached all the relevant snippets of code below, I can provide anything extra if necessary. Any help is highly appreciated. Thanks.

  UPDATE1 :

  I am using pipes instead of writing and reading from disk, worth a mention as the question could be misleading otherwise.

  The log :

  File "/app/app.py", line 31, in upload
  
  x , sr = librosa.load(audioFile,mono=True,duration=5)
  
  File "/app/.heroku/python/lib/python3.6/site-packages/librosa/core/audio.py", line 164, in load
  
  six.reraise(*sys.exc_info())
  
  File "/app/.heroku/python/lib/python3.6/site-packages/six.py", line 703, in reraise
  
  raise value
  
  File "/app/.heroku/python/lib/python3.6/site-packages/librosa/core/audio.py", line 129, in load
  
  with sf.SoundFile(path) as sf_desc:
  
  File "/app/.heroku/python/lib/python3.6/site-packages/soundfile.py", line 629, in __init__
  
  self._file = self._open(file, mode_int, closefd)
  
  File "/app/.heroku/python/lib/python3.6/site-packages/soundfile.py", line 1184, in _open
  
  "Error opening {0!r}: ".format(self.name))
  
  File "/app/.heroku/python/lib/python3.6/site-packages/soundfile.py", line 1357, in _error_check
  
  raise RuntimeError(prefix + _ffi.string(err_str).decode('utf-8', 'replace'))
  
  RuntimeError: Error opening <_io.BytesIO object at 0x7f46ad28beb8>: File contains data in an unknown format.
  
  10.69.244.94 - - [15/Mar/2020:12:37:28 +0000] "POST /receiveWav HTTP/1.1" 500 290 "-" "curl/7.55.1"

  Flask/Librosa code deployed on Heroku (app.py) :

  from flask import Flask, jsonify, request
  
  import scipy.optimize
  
  import os,pickle
  
  import numpy as np
  
  from sklearn.preprocessing import StandardScaler
  
  import librosa
  
  import logging
  
  import soundfile as sf
  
  from pydub import AudioSegment
  
  import subprocess as sp
  
  import ffmpeg
  
  from io import BytesIO
  
  
  
  logging.basicConfig(level=logging.DEBUG)
  
  
  
  app = Flask(__name__) 
  
  
  
  @app.route('/receiveWav',methods = ['POST'])
  
  def upload():
  
      if(request.method == 'POST'):
  
          f = request.files['file']
  
          app.logger.info(f'AUDIO FORMAT\n\n\n\n\n\n\n\n\n\n: {f}')
  
          proc = (
  
              ffmpeg.input('pipe:')
  
              .output('pipe:', format='aiff')
  
              .run_async(pipe_stdin=True,pipe_stdout=True, pipe_stderr=True)
  
          )
  
          audioFile,err = proc.communicate(input=f.read())
  
          audioFile =  BytesIO(audioFile)
  
          scaler = pickle.load(open("scaler.ok","rb"))
  
          x , sr = librosa.load(audioFile,mono=True,duration=5)
  
          y=x
  
          #Extract the features
  
          chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr)
  
          spec_cent = librosa.feature.spectral_centroid(y=y, sr=sr)
  
          spec_bw = librosa.feature.spectral_bandwidth(y=y, sr=sr)
  
          rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr)
  
          zcr = librosa.feature.zero_crossing_rate(y)
  
          rmse = librosa.feature.rms(y=y)
  
          mfcc = librosa.feature.mfcc(y=y, sr=sr)
  
          features = f'{np.mean(chroma_stft)} {np.mean(rmse)} {np.mean(spec_cent)} {np.mean(spec_bw)} {np.mean(rolloff)} {np.mean(zcr)}'    
  
          for e in mfcc:
  
              features += f' {np.mean(e)}'
  
          input_data2 = np.array([float(i) for i in features.split(" ")]).reshape(1,-1)
  
          input_data2 = scaler.transform(input_data2)
  
          return jsonify(input_data2.tolist())
  
  
  
  # driver function 
  
  if __name__ == '__main__':   
  
      app.run(debug = True) 

  Aptfile :

  libsndfile1
  
  libsndfile-dev
  
  libav-tools
  
  libavcodec-extra-53 
  
  libavcodec-extra-53
  
  ffmpeg 

  requirements.txt :

  aniso8601==8.0.0
  
  audioread==2.1.8
  
  certifi==2019.11.28
  
  cffi==1.14.0
  
  Click==7.0
  
  decorator==4.4.2
  
  ffmpeg-python==0.2.0
  
  Flask==1.1.1
  
  Flask-RESTful==0.3.8
  
  future==0.18.2
  
  gunicorn==20.0.4
  
  itsdangerous==1.1.0
  
  Jinja2==2.11.1
  
  joblib==0.14.1
  
  librosa==0.7.2
  
  llvmlite==0.31.0
  
  MarkupSafe==1.1.1
  
  marshmallow==3.2.2
  
  numba==0.48.0
  
  numpy==1.18.1
  
  pycparser==2.20
  
  pydub==0.23.1
  
  pytz==2019.3
  
  resampy==0.2.2
  
  scikit-learn==0.22.2.post1
  
  scipy==1.4.1
  
  six==1.14.0
  
  SoundFile==0.10.3.post1
  
  Werkzeug==1.0.0
  
  wincertstore==0.2

• doc/platform : drop reference to ffmpeg.zeranoe.com

  28 mars 2023, par Stefano Sabatini

  doc/platform : drop reference to ffmpeg.zeranoe.com
  It was closed in September 2020.
  Fix issue :
  
  http://trac.ffmpeg.org/ticket/9734
  

  • [DH] doc/platform.texi

• How can I extract bonus images from a tv show DVD using ffmpeg ?

  5 avril 2020, par Hatem

  I'm using MakeMKVcon to automate episodes extraction. It do the job, expect the metadata. I have to rename files manually. But the problem here is that I want to extract some bonus pictures slideshow from the ISO but no software can detect it. I can only display those images using VLC (using the ISO file).

  



  Do you have any idea how to do that ?

  



  Here's the ffmpeg -i output :

  



  $ ffmpeg -i /path/to/iso/file.ISO
ffmpeg version git-2020-03-24-7239254 Copyright (c) 2000-2020 the FFmpeg developers
  built with Apple clang version 11.0.0 (clang-1100.0.33.16)
  configuration: --prefix=/usr/local/Cellar/ffmpeg/HEAD-7239254_1 --enable-shared --cc=clang --host-cflags=-fno-stack-check --host-ldflags= --enable-gpl --enable-libaom --enable-libmp3lame --enable-libopus --enable-libsnappy --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --disable-libjack --disable-indev=jack --enable-opencl --enable-videotoolbox --disable-htmlpages --enable-libfdk-aac --enable-nonfree
  libavutil      56. 42.101 / 56. 42.101
  libavcodec     58. 76.100 / 58. 76.100
  libavformat    58. 42.100 / 58. 42.100
  libavdevice    58.  9.103 / 58.  9.103
  libavfilter     7. 77.100 /  7. 77.100
  libswscale      5.  6.101 /  5.  6.101
  libswresample   3.  6.100 /  3.  6.100
  libpostproc    55.  6.100 / 55.  6.100
[mpeg @ 0x7f8111808200] Packet corrupt (stream = 4, dts = 2097152).
[mpeg @ 0x7f8111808200] stream 4 : no TS found at start of file, duration not set
[mpeg @ 0x7f8111808200] Could not find codec parameters for stream 4 (Audio: mp2, 0 channels): unspecified frame size
Consider increasing the value for the 'analyzeduration' and 'probesize' options
Input #0, mpeg, from '/path/to/iso/file.ISO':
  Duration: 00:24:21.47, start: 0.280000, bitrate: 40817 kb/s
    Stream #0:0[0x1bf]: Data: dvd_nav_packet
    Stream #0:1[0x1e0]: Video: mpeg2video (Main), yuv420p(tv, bt470bg, progressive), 720x576 [SAR 16:15 DAR 4:3], 25 fps, 25 tbr, 90k tbn, 50 tbc
    Side data:
      cpb: bitrate max/min/avg: 8000000/0/0 buffer size: 1835008 vbv_delay: N/A
    Stream #0:2[0x20]: Subtitle: dvd_subtitle
    Stream #0:3[0x80]: Audio: ac3, 48000 Hz, stereo, fltp, 192 kb/s
    Stream #0:4[0x1d7]: Audio: mp2, 0 channels
At least one output file must be specified