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  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
    The zip file provided here only contains the sources of MediaSPIP in its standalone version.
    To get a working installation, you must manually install all-software dependencies on the server.
    If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)

  • HTML5 audio and video support

    13 avril 2011, par

    MediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
    The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
    For older browsers the Flowplayer flash fallback is used.
    MediaSPIP allows for media playback on major mobile platforms with the above (...)

  • ANNEXE : Les plugins utilisés spécifiquement pour la ferme

    5 mars 2010, par

    Le site central/maître de la ferme a besoin d’utiliser plusieurs plugins supplémentaires vis à vis des canaux pour son bon fonctionnement. le plugin Gestion de la mutualisation ; le plugin inscription3 pour gérer les inscriptions et les demandes de création d’instance de mutualisation dès l’inscription des utilisateurs ; le plugin verifier qui fournit une API de vérification des champs (utilisé par inscription3) ; le plugin champs extras v2 nécessité par inscription3 (...)

Sur d’autres sites (8626)

  • Revision 36037 : s’assurer que la class ffmpeg_movie est disponible sinon cela ne sert pas ...

    9 mars 2010, par kent1@… — Log

    s’assurer que la class ffmpeg_movie est disponible sinon cela ne sert pas à grand chose

  • How to use (django-celery,RQ) worker to execute a video filetype conversion (ffmpeg) in django on heroku (My code works locally)

    15 janvier 2013, par GetItDone

    One part of my website includes a form that allows users to upload video. I use ffmpeg to convert the video to flv. My media and static files are stored on Amazon S3. I can get everything to work perfectly locally, however I can't seem to figure out how to use a worker to run the video conversion subprocess in production. I have dj-celery and rq installed in my app. The code in my view that I was able to get to work locally is :

    #views.py
    def upload_broadcast(request):
       if request.method == 'POST':
           form = VideoUploadForm(request.POST, request.FILES)
           if form.is_valid():
               new_video=form.save()
               def convert_to_flv(video):
                   filename = video.video_upload
                   sourcefile = "%s%s" % (settings.MEDIA_ROOT, filename)
                   flvfilename = "%s.flv" % video.id
                   imagefilename = "%s.png" % video.id
                   thumbnailfilename = "%svideos/flv/%s" % (settings.MEDIA_ROOT, imagefilename)
                   targetfile = "%svideos/flv/%s" % (settings.MEDIA_ROOT, flvfilename)
                   ffmpeg = "ffmpeg -i %s -acodec mp3 -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
                   grabimage = "ffmpeg -y -i %s -vframes 1 -ss 00:00:02 -an -vcodec png -f rawvideo -s 320x240 %s" % (sourcefile, thumbnailfilename)
                   print ("SOURCE: %s" % sourcefile)
                   print ("TARGET: %s" % targetfile)
                   print ("TARGET IMAGE: %s" % thumbnailfilename)
                   print ("FFMPEG TASK CODE: %s" % ffmpeg)
                   print ("IMAGE TASK CODE: %s" % grabimage)
                   try:
                       ffmpegresult = subprocess.call(ffmpeg)
                       print "---------------FFMPEG---------------"
                       print ffmpegresult
                   except:
                       print "Not working."
                   try:
                       videothumbnail = subprocess.call(grabimage)
                       print "---------------IMAGE---------------"
                       print videothumbnail
                   except:
                       print "Not working."
                   video.flvfilename = flvfilename
                   video.videothumbnail = imagefilename
                   video.save()

               convert_to_flv(new_video)

               return HttpResponseRedirect('/video_list/')
       else:
    ...

    This is my first time trying to use a worker (or ever pushing a project to production), so even with the documentation it is still unclear to me what I need to do. I have tried several different things but nothing seems to work. Is there just a simple way to tell celery to run the ffmpegresult = subprocess.call(ffmpeg) ? Thanks in advance for any help or insight.

    EDIT- Added heroku logs

    2013-01-10T20:58:57+00:00 app[web.1]: TARGET: /media/videos/flv/8.flv
    2013-01-10T20:58:57+00:00 app[web.1]: IMAGE TASK CODE: ffmpeg -y -i /media/videos/practice.wmv -vframes 1 -ss 00:00:02 - an -vcodec png -f rawvideo -s 320x240 /media/videos/flv/8.png
    2013-01-10T20:58:57+00:00 app[web.1]: SOURCE: /media/videos/practice.wmv
    2013-01-10T20:58:57+00:00 app[web.1]: FFMPEG TASK CODE: ffmpeg -i /media/videos/practice.wmv -acodec mp3 -ar 22050 -f fl v -s 320x240 /media/videos/flv/8.flv
    2013-01-10T20:58:57+00:00 app[web.1]: TARGET IMAGE: /media/videos/flv/8.png
    2013-01-10T20:58:57+00:00 app[web.1]: Not working.
    2013-01-10T20:58:57+00:00 app[web.1]: Not working.

    NEWER EDIT

    I tried adding a tasks.py and added the task :

    celery = Celery('tasks', broker='redis://guest@localhost//')

    @celery.task
    def ffmpeg_task(video):
       converted_file = subprocess.call(video)
       return converted_file

    then I changed the relevant section of my view to :

    ...
    try:
       ffmpeg_task.delay(ffmpeg)
       print "---------------FFMPEG---------------"
       print ffmpegresult
    except:
       print "Not working."
    ...

    My new logs are :

    2013-01-15T13:19:52+00:00 app[web.1]: TARGET IMAGE: /media/videos/flv/12.png
    2013-01-15T13:19:52+00:00 app[web.1]: SOURCE: /media/videos/practice.wmv
    2013-01-15T13:19:52+00:00 app[web.1]: FFMPEG TASK CODE: ffmpeg -i /media/videos/practice.wmv -acodec mp3 -ar 22050 -f fl v -s 320x240 /media/videos/flv/12.flv
    2013-01-15T13:19:52+00:00 app[web.1]: IMAGE TASK CODE: ffmpeg -y -i /media/videos/practice.wmv -vframes 1 -ss 00:00:02 -an -vcodec png -f rawvideo -s 320x240 /media/videos/flv/12.png
    2013-01-15T13:19:52+00:00 app[web.1]: TARGET: /media/videos/flv/12.flv
    2013-01-15T13:20:17+00:00 app[web.1]: 2013-01-15 13:20:17 [2] [CRITICAL] WORKER TIMEOUT (pid:12)
    2013-01-15T13:20:17+00:00 app[web.1]: 2013-01-15 13:20:17 [2] [CRITICAL] WORKER TIMEOUT (pid:12)
    2013-01-15T13:20:17+00:00 app[web.1]: 2013-01-15 13:20:17 [19] [INFO] Booting worker with pid: 19

    Am I completely missing something ? I'll keep trying, but will be very appreciative of any direction or assistance.

  • AWS Lambda subprocess OSError : [Errno 2] No such file or directory

    11 septembre 2016, par Lev

    I’m trying to create a lambda function that makes collection of thumbnails from a video on amazon s3 using ffmpeg. ffmpeg binary is included into fuction package.

    function code :

    # -*- coding: utf-8 -*-

    import stat
    import shutil
    import boto3
    import logging
    import subprocess as sp
    import os
    import threading

    thumbnail_prefix = 'thumb_'
    thumbnail_ext = '.jpg'
    time_delta = 1
    video_frames_path = 'media/videos/frames'

    print('Loading function')
    logger = logging.getLogger()
    logger.setLevel(logging.INFO)

    lambda_tmp_dir = '/tmp'  # Lambda fuction can use this directory.

    # ffmpeg is stored with this script.
    # When executing ffmpeg, execute permission is requierd.
    # But Lambda source directory do not have permission to change it.
    # So move ffmpeg binary to `/tmp` and add permission.
    ffmpeg_bin = "{0}/ffmpeg.linux64".format(lambda_tmp_dir)
    shutil.copyfile('/var/task/ffmpeg.linux64', ffmpeg_bin)

    os.chmod(ffmpeg_bin, 777)

    # tried also:
    # os.chmod(ffmpeg_bin, os.stat(ffmpeg_bin).st_mode | stat.S_IEXEC)

    s3 = boto3.client('s3')


    def get_thumb_filename(num):
       return '{prefix}{num:03d}{ext}'.format(prefix=thumbnail_prefix, num=num, ext=thumbnail_ext)


    def create_thumbnails(video_url):
       i = 1
       filenames_list = []
       filename = None
       while i == 1 or os.path.isfile(os.path.join(os.getcwd(), get_thumb_filename(i-1))):
           if filename:
               filenames_list.append(filename)
           time = time_delta * (i - 1)
           filename = get_thumb_filename(i)
           print(ffmpeg_bin)
           if os.path.isfile(ffmpeg_bin):
               print('ok')
           sp.call(['sudo',
                    ffmpeg_bin,
                    '-ss',
                    str(time),
                    '-i',
                    video_url,
                    '-frames:v',
                    '1',
                    get_thumb_filename(i)])
           i += 1
       print(filenames_list)
       return filenames_list


    def s3_upload_file(file_path, key, bucket, acl, content_type):
       file = open(file_path, 'r')
       s3.put_object(
           Bucket=bucket,
           ACL=acl,
           Body=file,
           Key=key,
           ContentType=content_type
       )
       logger.info("file {0} moved to {1}/{2}".format(file_path, bucket, key))


    def s3_upload_files_in_threads(filenames_list, dir_path, bucket, s3path, acl, content_type):
       for filename in filenames_list:
           if os.path.isfile(os.path.join(dir_path, filename)):
               print(os.path.join(dir_path, filename))
           t = threading.Thread(target=s3_upload_file,
                                args=(os.path.join(dir_path, filename),
                                      '{0}/{1}'.format(s3path, filename),
                                      bucket,
                                      acl,
                                      content_type)).start()


    def lambda_handler(event, context):
       bucket = event['Records'][0]['s3']['bucket']['name']
       video_key = event['Records'][0]['s3']['object']['key']
       video_name = video_key.split('/')[-1].split('.')[0]
       video_url = 'http://{0}/{1}'.format(bucket, video_key)
       filenames_list = create_thumbnails(video_url)
       s3_upload_files_in_threads(filenames_list,
                                  os.getcwd(),
                                  bucket,
                                  '{0}/{1}'.format(video_frames_path, video_name),
                                  'public-read',
                                  'image/jpeg')
       return

    during the execution I get following logs :

    Loading function

    /tmp/ffmpeg.linux64

    ok

    [Errno 2] No such file or directory: OSError
    Traceback (most recent call last):
    File "/var/task/lambda_function.py", line 112, in lambda_handler
    filenames_list = create_thumbnails(video_url)
    File "/var/task/lambda_function.py", line 77, in create_thumbnails
    get_thumb_filename(i)])
    File "/usr/lib64/python2.7/subprocess.py", line 522, in call
    return Popen(*popenargs, **kwargs).wait()
    File "/usr/lib64/python2.7/subprocess.py", line 710, in __init__
    errread, errwrite)
    File "/usr/lib64/python2.7/subprocess.py", line 1335, in _execute_child
    raise child_exception
    OSError: [Errno 2] No such file or directory

    When I use the same sp.call() with the same ffmpeg binary on my ec2 instance it works fine.