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• how to allow a worker to run a ffmpeg command on heroku for my python/django app ?

  10 mars 2013, par GetItDone

  I've been stuck trying to figure this out for weeks. I previously asked a similar question found here but I never got any replies. I really cannot find any good documentation anywhere. All I need to do is use a worker (don't care what worker have django-celery and rq installed) to convert a file to flv when it is uploaded from a form. I was able to get this done easily locally, but after over a week I haven't been able to get it to work no matter what I have tried. I tried adding a tasks.py file for celery, or a worker.py file for rq, and I have no idea what else (if anything) needs to be done, such as in my settings.py or Procfile. My procfile looks like :

  web: gunicorn lftv.wsgi -b 0.0.0.0:$PORT
  
  celeryd: celery -A tasks worker --loglevel=info
  
  worker: python worker.py

  My requirements.txt showing what I have installed looks like this :

  Django==1.4.3
  
  Logbook==0.4.1
  
  amqp==1.0.6
  
  anyjson==0.3.3
  
  billiard==2.7.3.19
  
  boto==2.6.0
  
  celery==3.0.13
  
  celery-with-redis==3.0
  
  distribute==0.6.31
  
  dj-database-url==0.2.1
  
  django-celery==3.0.11
  
  django-s3-folder-storage==0.1
  
  django-storages==1.1.6
  
  gunicorn==0.16.1
  
  kombu==2.5.4
  
  pil==1.1.7
  
  psycopg2==2.4.5
  
  python-dateutil==1.5
  
  pytz==2012j
  
  redis==2.7.2
  
  requests==1.1.0
  
  rq==0.3.2
  
  six==1.2.0
  
  times==0.6

  The only thing relevant in my settings.py are as follows :

  BROKER_BACKEND = 'django'
  
  BROKER_URL = #For this I copy/pasted the code from my redistogo add-on from heroku. Not sure if correct
  
  BROKER_TRANSPORT_OPTIONS = {'visibility_timeout': 1800}

  Without trying to take up too much more space, my tasks.py looks like this :

  import subprocess
  
  
  
  @task
  
  def ffmpeg_conversion(input_file):
  
      converted_file = subprocess.call(input_file)
  
      return converted_file

  I use S3 to store my static and media files, and the upload works (adding uploads to my bucket), however no matter what I try the conversion never will. Is there a good tutorial for absolute beginners ? I followed the heroku redis tutorial, celery docs, rq docs, and whatever else I can find, and got the examples to work, but the worker will not execute the command from my view. For example one of the many things I tried :

  ...
  
  ffmpeg = "ffmpeg -i %s -acodec mp3 -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
  
  ffmpegresult = ffmpeg_conversion.delay(ffmpeg)
  
  ...

  or using rq

  ...
  
  q = Queue(connection=conn)
  
  result = q.enqueue(ffmpeg_conversion, ffmpeg)
  
  ...

  I seems like it should be simple, however I am completely self-taught and have never deployed a project whatsoever, and there just doesn't seem to be any good documentation or tutorial available for what I am trying to do. I can't judge whether I am completely off and completely missing something significant or relatively close to getting this to work. I really do appreciate any input whatsoever, this is driving me nuts. Thanks in advance.

• Automation for Downloading, Encoding, Renaming and Uploading [on hold]

  5 février 2019, par Madara Uchiha

  How do I automate - downloading anime episodes from Torrent > Encode the videos with ffmpeg or gui > rename (with encoder tag) > upload to Google drive ?
  Should work 24/7. Need help !

• Webcam - Publishing and Archiving on line video files

  11 novembre 2014, par Emmanuel Brunet

  I want to publish an ASF live video stream over the internet and also copy the backup to disk (without sound to spare disk space)

  I’m running debian 7.7 wheezy / ffmpeg 2.2 and ffserver 1.2.9.

  ---

  The IP camera video streams specifications are

  Input #0, asf, from 'http://account:password@webcam/videostream.asf':
  
    Duration: N/A, start: 0.000000, bitrate: 32 kb/s
  
      Stream #0:0: Video: mjpeg (MJPG / 0x47504A4D), yuvj422p(pc), 640x480, 50 tbr, 1k tbn, 1k tbc
  
      Stream #0:1: Audio: adpcm_ima_wav ([17][0][0][0] / 0x0011), 8000 Hz, 1 channels, s16p, 32 kb/s

  To achieve this I have set up a /etc/ffserver.conf configuration

  Port 11000
  
  
  
  BindAddress 0.0.0.0
  
  
  
  MaxClients 1000
  
  
  
  MaxBandwidth 40000
  
  
  
  CustomLog -
  
  
  
  <feed>
  
  File /tmp/feed1.ffm
  
  FileMaxSize 200K
  
  ACL allow localhost
  
  ACL allow 192.168.1.1 192.168.255.255
  
  
  
  </feed>
  
  
  
  
  
  # --------------------------- ASF ----------------------
  
  
  
  <stream>
  
  Feed feed1.ffm
  
  Format asf
  
  
  
  AVOptionVideo flags +global_header
  
  VideoFrameRate 25
  
  VideoSize 640x480
  
  VideoBitRate 1024
  
  VideoBufferSize 1024
  
  StartSendOnKey
  
  NoAudio
  
  </stream>
  
  
  
  # ------------ Server status -------------------
  
  
  
  <stream>
  
  Format status
  
  
  
  # Only allow local people to get the status
  
  ACL allow localhost
  
  ACL allow 192.168.0.0 192.168.255.255
  
  
  
  #FaviconURL http://pond1.gladstonefamily.net:8080/favicon.ico
  
  </stream>
  
  
  
  
  
  # ---------- Redirect --------------------
  
  
  
  <redirect>
  
  URL http://www.ffmpeg.org/
  
  </redirect>

  To connect the feed I run

  to start the ffserver

  ffserver -f /etc/ffserver.conf

  to collect the stream from the camera

  ffmpeg -i http://account:password@webcam/videostream.asf -c:v libx264 -an http://localhost:11000/feed1.ffm

  and all works like a charm.

  ---

  My questions are :

  • How in the same time having the stream saved to disk ?

  (as done by the command)

  ffmpeg -i http://account:password@webcam/videostream.asf -preset veryfast -t 00:60:00 -b:v 512K -c:v libx264 -pix_fmt yuv420p -an /var/backup/videos/YYY-MM-DD.mp4

  Note that the output .mp4 file names should rotate to get multiple timestamped output archives

  • How can I published video over RTSP ?

  I’ve found examples on the internet but none worked for me

  Thanks in advance

  regards