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  • Installation en mode ferme

    4 février 2011, par

    Le mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
    C’est la méthode que nous utilisons sur cette même plateforme.
    L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
    Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...)

  • La sauvegarde automatique de canaux SPIP

    1er avril 2010, par

    Dans le cadre de la mise en place d’une plateforme ouverte, il est important pour les hébergeurs de pouvoir disposer de sauvegardes assez régulières pour parer à tout problème éventuel.
    Pour réaliser cette tâche on se base sur deux plugins SPIP : Saveauto qui permet une sauvegarde régulière de la base de donnée sous la forme d’un dump mysql (utilisable dans phpmyadmin) mes_fichiers_2 qui permet de réaliser une archive au format zip des données importantes du site (les documents, les éléments (...)

  • HTML5 audio and video support

    13 avril 2011, par

    MediaSPIP 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 (4791)

  • low quality movie with avconv

    8 novembre 2017, par masoud

    I want to create a movie from a sequence of images. I used avconv (linux System in our Company has only avconv and not ffmpeg package). to do that first I creates ’fig%0d.png’ Images and then by calling subprocess command I create a movie :

    subprocess.call('avconv -framerate 1 -f image2 -i fig%0d.png -c:v h264 -crf 1 Temp_electron1.mp4'.split())

    but the Quality of the movie is not good and more importantly the movie doesn’t Show the first Image and always starts from the second one.

    I appreciate any suggestion

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  • SIGSEGV from ffmpeg on Amazon Lambda

    1er août 2024, par Serge

    Trying out Amazon Lambda / nodejs 8. My goal is to launch ffmpeg, generate a short clip and upload it to S3 bucket.

    



    I created the function following the image resize tutorial. Edited the code to get output from simple linux commands like ls or cat /proc/cpuinfo - all works.

    



    Now, added the ffmpeg binary for i686 - ffmpeg static build by JohnVan Sickle (thanks !). Changed the code to launch simple ffmpeg command that is supposed to create sa 2-seconds small video clip.

    



    That fails, according to logs, with the signal SIGSEGV returned to the "close" event handler of child_process.spawn()

    



    As far as I understand, this could be caused by the ffmpeg binary incompatibility with the static build. Or by some mistake in my code.

    



    Several npm modules rely on the static builds from johnvansickle.com/ffmpeg and there are no such issues filed on their github. Maybe there's some other mistake I made ?

    



    Should I compile ffmpeg myself under Amazon Linux AMI amzn-ami-hvm-2017.03.1.20170812-x86_64-gp2 which is under the hood of AWS Lambda ?

    




    



    upd. Launched EC2 t2.micro instance from the same AMI, downloaded the same ffmpeg static build, and it works just fine from the command line. Now I doubt that it is a compilation issue.

    



    Also tried copying ffmpeg executable to /tmp/ffmpeg and chmod 755 just to make sure.
Running simple ffmpeg --help command via child_process.execSync() returns "Error : Command failed : /tmp/ffmpeg —help"

    




    


    const join = require('path').join;
const tmpdir = require('os').tmpdir;
const process = require('process');
const fs = require('fs');
const spawn = require('child_process').spawn;
const exec = require('child_process').exec;

const async = require('async');
const AWS = require('aws-sdk');
const util = require('util');

process.env['PATH'] = process.env['PATH'] + ':' + process.env['LAMBDA_TASK_ROOT'];


const tempDir = process.env['TEMP'] || tmpdir();
const filename = join(tempDir, 'test.mp4');
const s3 = new AWS.S3();


exports.handler = function(event, context, callback) {
  var dstBucket = srcBucket + "resized";
  var dstKey  = "render-test.mp4";

  async.waterfall([
    function transform(next) {
      var args = [
        '-filter_complex',
        '"testsrc=r=25:s=640x480:d=3"',
        '-an',
        '-y',
        '-hide_banner',
        '-c:v', 'libx264',
        filename,
      ];

      console.log("Will launch ffmpeg");
      const childProcess = spawn('ffmpeg', args);

      childProcess.on('close', function(e) {
        console.log('ffmpeg close event: ' + JSON.stringify(arguments));
        next();
      });

      console.log("After launched ffmpeg");
    },

    function upload(next) {
      ...
    }
  ], function (err) {
    ...
  });
};