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Richard Stallman et le logiciel libre
19 octobre 2011, par
Mis à jour : Mai 2013
Langue : français
Type : Texte
Autres articles (83)
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Le profil des utilisateurs
12 avril 2011, parChaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...) -
Déploiements possibles
31 janvier 2010, parDeux types de déploiements sont envisageable dépendant de deux aspects : La méthode d’installation envisagée (en standalone ou en ferme) ; Le nombre d’encodages journaliers et la fréquentation envisagés ;
L’encodage de vidéos est un processus lourd consommant énormément de ressources système (CPU et RAM), il est nécessaire de prendre tout cela en considération. Ce système n’est donc possible que sur un ou plusieurs serveurs dédiés.
Version mono serveur
La version mono serveur consiste à n’utiliser qu’une (...) -
Configurer la prise en compte des langues
15 novembre 2010, parAccéder à la configuration et ajouter des langues prises en compte
Afin de configurer la prise en compte de nouvelles langues, il est nécessaire de se rendre dans la partie "Administrer" du site.
De là, dans le menu de navigation, vous pouvez accéder à une partie "Gestion des langues" permettant d’activer la prise en compte de nouvelles langues.
Chaque nouvelle langue ajoutée reste désactivable tant qu’aucun objet n’est créé dans cette langue. Dans ce cas, elle devient grisée dans la configuration et (...)
Sur d’autres sites (9847)
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is Cloud API's needed for Video Conversion to save huge time ?
7 juillet 2017, par user2224250I have seen a couple of ffmpeg software’s which converts a video x format (1.8 GB) to y format (1.8 GB) in less than 90 seconds
For example IDealshare VideoGo
When I work with ffmpeg in the terminal, these sort of conversions takes atleast one hour. Moreover, when I compare to the above software, am facing a very very big number interms of time.
May be, do you think for these fast conversions, we must take help from third party cloud API’s (software’s) such as amazon elastic transcoder etc etc.
Any pointers would be really appreciable !!
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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 GetItDoneOne 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_filethen 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: 19Am I completely missing something ? I'll keep trying, but will be very appreciative of any direction or assistance.
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Continously running a PHP script waiting for videos to trancode
12 mai 2017, par IanI’m making a transcoding server which uses FFMPEG to convert videos to flv. After user uploads a video it’s queued for processing in amazon Simple Queue Service. System is linux ubuntu.
Instead of running CRON each 1min I wonder if it would be possible to continously run several PHP scripts (dowload queued files, process downloaded etc). Each of them would have its own queue which would be read every 10s or so looking for new tasks.
My question is :
How to detect if the script is already running ? I’d run CRON each 1min and if one of the programs would not be running I’d load it again. How stuff like that is done on linux ? PID files ?
thanks for help,
ian