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The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Texte
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Amélioration de la version de base
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Le plugin Chosen permet d’améliorer l’ergonomie des champs de sélection multiple. Voir les deux images suivantes pour comparer.
Il suffit pour cela d’activer le plugin Chosen (Configuration générale du site > Gestion des plugins), puis de configurer le plugin (Les squelettes > Chosen) en activant l’utilisation de Chosen dans le site public et en spécifiant les éléments de formulaires à améliorer, par exemple select[multiple] pour les listes à sélection multiple (...) -
Problèmes fréquents
10 mars 2010, parPHP et safe_mode activé
Une des principales sources de problèmes relève de la configuration de PHP et notamment de l’activation du safe_mode
La solution consiterait à soit désactiver le safe_mode soit placer le script dans un répertoire accessible par apache pour le site -
Gestion de la ferme
2 mars 2010, parLa ferme est gérée dans son ensemble par des "super admins".
Certains réglages peuvent être fais afin de réguler les besoins des différents canaux.
Dans un premier temps il utilise le plugin "Gestion de mutualisation"
Sur d’autres sites (5580)
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ffmpeg stream chrome kiosk mode ubuntu 16.04 server
15 février 2021, par RaulI have a weird out-of-sync issue while using ffmpeg to stream to youtube live a chrome browser from an ub untu 16.04 server.



Issue : output video streamed to youtube has audio/video out of sync, sometimes with as much as 3s



Current flow :



1) start pulseaudio - we using something like this to start it :



pulseaudio --start -vvv --disallow-exit --log-target=syslog --high-priority --exit-idle-time=-1 --daemonize




2) start Xvfb



Xvfb :0 -ac -screen 0 1920x1080x24




3) start chrome linux in kiosk mode



google-chrome --kiosk --disable-gpu --incognito --no-first-run --disable-java --disable-plugins --disable-translate --disk-cache-size=$((1024 * 1024)) --disk-cache-dir=/tmp/chrome/ --user-data-dir=/tmp/chrome/ --force-device-scale-factor=1 --window-size=1920,1080 --window-position=0,0 LOCATION_URL




4) start ffmpeg



ffmpeg -y \
 -thread_queue_size 8192 -rtbufsize 250M -f x11grab -video_size 1920x1080 -framerate 24 -i :0 \
 -thread_queue_size 8192 -channel_layout stereo -f alsa -i pulse \
 -c:v libx264 -pix_fmt yuv420p -c:v libx264 -g 48 -crf 24 -filter:v fps=24 -preset ultrafast -tune zerolatency \
 -c:a aac -strict -2 -channel_layout stereo -ab 96k -ac 2 -flags +global_header \
 -f flv YOUTUBE_LIVE_STREAMING_RTMP




Note : this is running on an amazon ec2 instance, meaning there is no soundcard, so alsa and pulseaudio are creating a dummy audio card. However, the latency does not come from there. Logs :



Nov 25 06:14:22 ip-172-31-29-8 pulseaudio[26602]: [pulseaudio] protocol-native.c: Adjust latency mode enabled, configuring sink latency to half of overall latency.
Nov 25 06:14:22 ip-172-31-29-8 pulseaudio[26602]: [pulseaudio] protocol-native.c: Requested latency=23.22 ms, Received latency=23.22 ms
Nov 25 06:14:22 ip-172-31-29-8 pulseaudio[26602]: [pulseaudio] protocol-native.c: Final latency 69.66 ms = 23.22 ms + 2*11.61 ms + 23.22 ms




At this point, here's what we observed :



- 

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if we start ffmpeg exactly after issuing the command to start chrome, we see the DTS errors from ffmpeg. Audio is out of sync with the video and has delay of 3-5seconds AHEAD. We also noticed the out of sync remains the same for the full duration of the stream
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if we start ffmpeg after around 10seconds, audio and video are almost in sync. We then manually added a -itsoffset -0.125 to the ffmpeg command and everything is perfect.







Questions :



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- Why would ffmpeg have so much lag if it's started right after chrome ?
- Is starting the ffmpeg after 10s or X seconds the expected behavior ? That is, is this because the system needs to wait for audio/video signals to be "ready" or something ?
- Is there a way to 100% calculate or know when Chrome is fully ready and start ffmpeg ? We found sometimes it takes 5s, sometimes 10. Depends on the URL we load.
- Besides the DTS error that ffmpeg throws, is there any other way to know if audio/video is out-of-sync ? as sometimes we have a delay of between 0.5 to 1s, but ffmpeg does not report anything. And a restart is required to "re-balance" the audio/video inputs and get them back in sync.
- Can pulseaudio be the problem in this scenario ?













Thank you



UPDATE Dec 20



We were able to do some tricks to force chrome to start the audio on page load, and that will force connect to pulseaudio. Doing that, plus adding a 3s delay for ffmpeg to start, there is no more delay when ffmpeg starts.
However, our app is a webRTC app, and we have a STRANGER thing happening : if we start the page with no webcam/audio, once the webcam/audio is enabled, ffmpeg (while showing no errors) has a delay of 2s or so. While keep talking, in about max 30s, that delay is GONE.



So the new questions are :



- 

- Besides the DTS error that ffmpeg throws, is there any other way to know if audio/video is out-of-sync ? as sometimes we have a delay of between 0.5 to 1s, but ffmpeg does not report anything.
- What could cause the initial audio/video out of sync issue and then catching up ?






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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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AWS Lambda subprocess OSError : [Errno 2] No such file or directory
11 septembre 2016, par LevI’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')
returnduring 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 directoryWhen I use the same sp.call() with the same ffmpeg binary on my ec2 instance it works fine.