
Recherche avancée
Médias (1)
-
The pirate bay depuis la Belgique
1er avril 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Image
Autres articles (52)
-
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
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 -
HTML5 audio and video support
13 avril 2011, parMediaSPIP 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 (...)
Sur d’autres sites (8975)
-
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.
-
ffmpeg merge video and audio + fade out
1er mai 2016, par jacky brownI have one video file and one audio file.
I want to merge them together that the final output video will be in the length of the video and will contain the audio in the background.i did :
ffmpeg -i output.avi -i bgmusic.mp3 -filter_complex " [1:0] apad " -shortest out.avi
but the background audio is cut in the end of the final merge movie.
i want it to fade out nicely.how can i do it ??
but the background audio is cut in the end of the final merge movie.
i want it to fade out nicely.how can i do it ??
thanks.
-
Clips from a Live Video
12 mai 2022, par Jorge Borreguero SanmartinI am doing a program in Python that gets clips from a live video. To do so, with opencv I get the currrrent_frame_position and with the fps I get the start and final time to run this command :


ffmpeg -i live_video.ts -ss 00:01:30 -to 00:02:00 -c:v copy output.ts


To improve, I want to start dumping the live_video on the new file once I know the starting time, and finish once I get the final time. My intention is to make this process faster and get the result file sooner. It is not necessary to use ffmpeg but it is the tool that I have been using. How can I do this ?