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Autres articles (35)
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Pas question de marché, de cloud etc...
10 avril 2011Le vocabulaire utilisé sur ce site essaie d’éviter toute référence à la mode qui fleurit allègrement
sur le web 2.0 et dans les entreprises qui en vivent.
Vous êtes donc invité à bannir l’utilisation des termes "Brand", "Cloud", "Marché" etc...
Notre motivation est avant tout de créer un outil simple, accessible à pour tout le monde, favorisant
le partage de créations sur Internet et permettant aux auteurs de garder une autonomie optimale.
Aucun "contrat Gold ou Premium" n’est donc prévu, aucun (...) -
Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Le plugin : Podcasts.
14 juillet 2010, parLe problème du podcasting est à nouveau un problème révélateur de la normalisation des transports de données sur Internet.
Deux formats intéressants existent : Celui développé par Apple, très axé sur l’utilisation d’iTunes dont la SPEC est ici ; Le format "Media RSS Module" qui est plus "libre" notamment soutenu par Yahoo et le logiciel Miro ;
Types de fichiers supportés dans les flux
Le format d’Apple n’autorise que les formats suivants dans ses flux : .mp3 audio/mpeg .m4a audio/x-m4a .mp4 (...)
Sur d’autres sites (4805)
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How to send ffmpeg based HTTP stream to CloudFront [on hold]
5 octobre 2017, par Tarun MaheshwariI have a live streaming server, where media is available as HTTP / RTMP / HLS format.
I am able to access it and play from my desktop using following links.rtmp://52.xx.xx.192/live/tarun1 (RTMP)
http://52.xx.xx.192:8080/hls/movie.m3u8 (HLS)
http://52.xx.xx.190:7090/stream (HTTP)I want to forward any of the above streams to CloudFront with these steps.
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How to build a daemon to encode video files on S3 ?
4 avril 2013, par Yuval CohenI am interested in running a daemon to go over user uploaded video files and encode them in an optimal format (and add some watermarks).
I was considering services such as Zencoder, Encoding.com, Amazon's encoding service but some lack overlaying capabilities and some are just too expensive for our (big) volumes.
I want to build a daemon that encodes videos that are located on S3 once users upload them.
The solution I thought of would be Python Heroku servers using Celery for a task queue to keep track of the encoded files and ffmpeg to do the actual work. However, I ran into troubles compiling ffmpeg for Heroku (with libass support, so the basic ffmpeg bins aren't enough).
What approach/technology stack would you consider for this mini-project ?
Thanks !
Yuval -
In my django app, celery task converts uploaded video w/ ffmpeg, but converted video won't save to s3 ?
29 janvier 2013, par GetItDoneI use Heroku to host my website, and Amazon s3 to store my static and media files. I have a celery task that converts the video file to flv, but the flv doesn't store anywhere. There isn't any error, just there is no file uploaded to my s3 bucket. How can I force the file to save to my s3 bucket after the conversion ? I'm still pretty new web development in general, and I have been stuck trying to get my video conversion working properly for weeks. To be honest, I'm not even sure that I'm doing the right thing with my task. Here is the code in my celery task :
@task(name='celeryfiles.tasks.convert_flv')
def convert_flv(video_id):
video = VideoUpload.objects.get(pk=video_id)
filename = video.video_upload
sourcefile = "%s%s" % (settings.MEDIA_URL, filename)
vidfilename = "%s.flv" % video.id
targetfile = "%svideos/flv/%s" % (settings.MEDIA_URL, vidfilename)
ffmpeg = "ffmpeg -i %s -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
#The next lines are code that I couldn't get to work in place of the line above, and are left commented out.
#I am open to suggestions or alternatives for this also.
#ffmpeg = "ffmpeg -i %s -acodec libmp3lame -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
#ffmpeg = "ffmpeg -i %s -acodec mp3 -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
try:
ffmpegresult = commands.getoutput(ffmpeg)
print "---------------FFMPEG---------------"
print "FFMPEGRESULT: %s" % ffmpegresult
except Exception as e:
ffmpegresult = None
print("Failed to convert video file %s to %s" % (sourcefile, targetfile))
print(traceback.format_exc())
video.flvfilename = vidfilename
video.save()My view :
def upload_video(request):
if request.method == 'POST':
form = VideoUploadForm(request.POST, request.FILES)
if form.is_valid():
video_upload=form.save()
video_id=video_upload.id
video_conversion = convert_flv.delay(video_id)
return HttpResponseRedirect('/current_classes/')
else:
...Any advice, insight, or ideas in general would be greatly appreciated. Obviously I am missing something, but I can't figure out what. I have been stuck with different aspects of getting my video conversion to work with ffmpeg using a celery task for weeks. Thanks in advance.