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Autres articles (14)

  • Use, discuss, criticize

    13 avril 2011, par

    Talk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
    The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
    A discussion list is available for all exchanges between users.

  • Other interesting software

    13 avril 2011, par

    We don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
    The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
    We don’t know them, we didn’t try them, but you can take a peek.
    Videopress
    Website : http://videopress.com/
    License : GNU/GPL v2
    Source code : (...)

  • Qu’est ce qu’un éditorial

    21 juin 2013, par

    Ecrivez votre de point de vue dans un article. Celui-ci sera rangé dans une rubrique prévue à cet effet.
    Un éditorial est un article de type texte uniquement. Il a pour objectif de ranger les points de vue dans une rubrique dédiée. Un seul éditorial est placé à la une en page d’accueil. Pour consulter les précédents, consultez la rubrique dédiée.
    Vous pouvez personnaliser le formulaire de création d’un éditorial.
    Formulaire de création d’un éditorial Dans le cas d’un document de type éditorial, les (...)

Sur d’autres sites (2507)

  • AWS Lambda execution time for FFMPEG transcoding

    4 janvier 2023, par FlamingMoe

    I'm using AWS Lambda for converting files from WEBM to MP4

    


    I'm using ffmpeg version 4.3.1-static https://johnvansickle.com/ffmpeg/ (I have done the following tests also with the ffmpeg in serverless AWS ffmpeg layer (that includes de 4.1.3), but results are even worse (about 25% slower)

    


    I'm using Node 10x as container.

    


    WEBM size   Time to convert.  Memory Lambda.  Memory used (as shown in log)

80Mb             ~44s              3008            410
40Mb             ~44s              3008            375

80Mb             ~70s              1024            321
40Mb             ~70s              1024            279


    


    All videos are 80s length. So as far as I can see, it does not matter the size of the WEBM, if the length of the video is the same, it takes the same to convert. So ffmpeg takes more time if the video length is higher, not if the file size is higher ... curious ;-)

    


    But in the other hand, I'm confused with Lambda memory. I know memory and CPU comes together in Lambda ... the more memory you choose, the more CPU is assigned.

    


    But...

    


      

    1. Why ffmpeg just take about 300/400Mb if it has more to run ?

      2. 


    2. How can I tell ffmpeg to use more memory ?

      3. 


    3. Is there any option to accelerate the process in Lambda ?

      4. 


    


    Btw, In all tests, all ffmpeg are the same, and

    


    cpu-used paramenter)

    


      

    • I added to ffmpeg parameters cpu-used=100, and it does not matter at all if I put cpu-used=5 ... times are the same, so I guess that parameter is useless (i don't know why)

      • 


    


    threads parameter)

    


      

    • Also I did some tests with "threads" parameters, but it's useless also.

      • 


    


    I know it's not a good comparison, but same files takes about 5 seconds to be converted in a simple dedicated server (8 vCores and 8GB RAM in OVH Centos VPS).

    


    Btw, Amazon Elastic Transcoder is not an option :
a) it's extremely more expensive
b) it has just his profiles to convert, and my ffmpeg commands are very complex (watermarks, effects, etc ...)

    


  • AWS elastic beanstalk UnhandledPromiseRejectionWarning : Cannot find ffprobe

    1er janvier 2021, par Ali Ahmed

    Using elasticbeanstalk with Node.js 10 running on 64bit Amazon Linux 2/5.2.3. I have a packages.config file under .ebextensions folder.

    


       packages:
  yum:
    ImageMagick: []
    ImageMagick-devel: []
commands:
  01-wget:
    command: "wget -O /tmp/ffmpeg.tar.xz http://ffmpeg.org/releases/ffmpeg-4.1.tar.gz"
  02-mkdir:
    command: "if [ ! -d /opt/ffmpeg ] ; then mkdir -p /opt/ffmpeg; fi"
  03-tar:
    command: "tar xvf /tmp/ffmpeg.tar.xz -C /opt/ffmpeg"
  04-ln:
    command: "if [[ ! -f /usr/bin/ffmpeg ]] ; then ln -sf /opt/ffmpeg/ffmpeg-4.1/ffmpeg /usr/bin/ffmpeg; fi"
  05-ln:
    command: "if [[ ! -f /usr/bin/ffprobe ]] ; then ln -sf /opt/ffmpeg/ffmpeg-4.1/ffprobe /usr/bin/ffprobe; fi"
  06-pecl:
    command: "if [ `pecl list | grep imagick` ] ; then pecl install -f imagick; fi"


    


    I am using fluent-ffmpeg@2.1.2 module for saving screenshot.

    


  • ffmpeg code not working aws lambda environment

    5 janvier 2021, par Akash Das

    I followed this article and deployed the Lambda functions and layers and set it up all fine.

    


    But I am facing a problem when I try converting the mp4 video into a 720p video, the ffmpeg commands that work in my Ubuntu 20.04 are not working in the Lambda and gives me error in the form of 0kb files in the destination folder.

    


    Can someone explain why this is happening ? The command that I used was :

    


    ffmpeg -i input.mp4 -s 1280x720 -c:a copy output.mp4


    


    I use this command in the Python file

    


    ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_source_signed_url + "\" -f mp4 -s 1280x720 -c:a copy -" ___ . 


    


    This is the error I get :

    


    Errror

    


    The problem is that I used a code like this to get only the audio

    


    ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_source_signed_url + "\" -f mp3 -ab 192000 -vn  -" ___ . 


    


    And it works as expected.

    


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