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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 (...)

  • Multilang : améliorer l’interface pour les blocs multilingues

    18 février 2011, par

    Multilang est un plugin supplémentaire qui n’est pas activé par défaut lors de l’initialisation de MediaSPIP.
    Après son activation, une préconfiguration est mise en place automatiquement par MediaSPIP init permettant à la nouvelle fonctionnalité d’être automatiquement opérationnelle. Il n’est donc pas obligatoire de passer par une étape de configuration pour cela.

  • List of compatible distributions

    26 avril 2011, par

    The table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
    If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...)

Sur d’autres sites (10354)

  • compile ffmpeg on ec2 linux instance - no libfdk-acc available

    11 mai 2022, par byc

    I’m compiling the ffmpeg on an ec2 amazon linux instance, but it threw me an error ERROR: libfdk_aac not found.

    


    I'm following this guide http://trac.ffmpeg.org/wiki/CompilationGuide/Centos to first install the dependencies and compile the package.

    


    yum install autoconf automake bzip2 bzip2-devel cmake freetype-devel gcc gcc-c++ git libtool make pkgconfig zlib-devel

mkdir ~/ffmpeg_sources

cd ~/ffmpeg_sources
curl -O -L https://ffmpeg.org/releases/ffmpeg-snapshot.tar.bz2
tar xjvf ffmpeg-snapshot.tar.bz2
cd ffmpeg
PATH="$HOME/bin:$PATH" PKG_CONFIG_PATH="$HOME/ffmpeg_build/lib/pkgconfig" ./configure \
  --prefix="$HOME/ffmpeg_build" \
  --pkg-config-flags="--static" \
  --extra-cflags="-I$HOME/ffmpeg_build/include" \
  --extra-ldflags="-L$HOME/ffmpeg_build/lib" \
  --extra-libs=-lpthread \
  --extra-libs=-lm \
  --bindir="$HOME/bin" \
  --enable-gpl \
  --enable-libfdk_aac \
  --enable-libfreetype \
  --enable-libmp3lame \
  --enable-libopus \
  --enable-libvpx \
  --enable-libx264 \
  --enable-libx265 \
  --enable-nonfree
make
make install
hash -d ffmpeg


    


    and this is the error message I've got

    


    ec2-user@ip-xx-xxx-xx-xx ffmpeg]$ PATH="$HOME/bin:$PATH" PKG_CONFIG_PATH="$HOME/ffmpeg_build/lib/pkgconfig" ./configure \
>   --prefix="$HOME/ffmpeg_build" \
>   --pkg-config-flags="--static" \
>   --extra-cflags="-I$HOME/ffmpeg_build/include" \
>   --extra-ldflags="-L$HOME/ffmpeg_build/lib" \
>   --extra-libs=-lpthread \
>   --extra-libs=-lm \
>   --bindir="$HOME/bin" \
>   --enable-gpl \
>   --enable-libfreetype \
>   --enable-libmp3lame \
>   --enable-libopus \
>   --enable-libvpx \
>   --enable-libx264 \
>   --enable-libx265 \
>   --enable-nonfree

ERROR: libfdk_aac >= 3.98.3 not found


    


    I tried installing libfdk_aac but there's no package found. I don't seem to come across any posts discussing this issue, or at least recently. Appreciate any pointers. thanks !

    


    [ec2-user@ip-xx-xxx-xx-xx ffmpeg]$ sudo yum install libfdk-aac
Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
No package libfdk-aac available.
Error: Nothing to do


    


  • AWS Lambda function for modify video

    4 février 2017, par Gold Fish

    I want to create a Lambda function that invoked whenever someone uploads to the S3 bucket. The purpose of the function is to take the uploaded file and if its a video file (mp4) so make a new file which is a preview of the last one (using ffmpeg). The Lambda function is written in nodejs.
    I took the code here for reference, but I do something wrong for I get an error saying that no input specified for SetStartTime :

    //dependecies
    var async = require('async');
    var AWS = require('aws-sdk');
    var util = require('util');
    var ffmpeg = require('fluent-ffmpeg');

    // get reference to S3 client
    var s3 = new AWS.S3();


    exports.handler = function(event, context, callback) {
       // Read options from the event.
       console.log("Reading options from event:\n", util.inspect(event, {depth: 5}));
       var srcBucket = event.Records[0].s3.bucket.name;
       // Object key may have spaces or unicode non-ASCII characters.
       var srcKey    =
       decodeURIComponent(event.Records[0].s3.object.key.replace(/\+/g, " "));  
       var dstBucket = srcBucket;
       var dstKey    = "preview_" + srcKey;

       // Sanity check: validate that source and destination are different buckets.
       if (srcBucket == dstBucket) {
           callback("Source and destination buckets are the same.");
           return;
       }

       // Infer the video type.
       var typeMatch = srcKey.match(/\.([^.]*)$/);
       if (!typeMatch) {
           callback("Could not determine the video type.");
           return;
       }
       var videoType = typeMatch[1];
       if (videoType != "mp4") {
           callback('Unsupported video type: ${videoType}');
           return;
       }

       // Download the video from S3, transform, and upload to a different S3 bucket.
       async.waterfall([
           function download(next) {
               // Download the video from S3 into a buffer.
               s3.getObject({
                       Bucket: srcBucket,
                       Key: srcKey
                   },
                   next);
               },
           function transform(response, next) {
           console.log("response.Body:\n", response.Body);
           ffmpeg(response.Body)
               .setStartTime('00:00:03')
               .setDuration('10')   //.output('public/videos/test/test.mp4')
           .toBuffer(videoType, function(err, buffer) {
                           if (err) {
                               next(err);
                           } else {
                               next(null, response.ContentType, buffer);
                           }
                    });
           },
           function upload(contentType, data, next) {
               // Stream the transformed image to a different S3 bucket.
               s3.putObject({
                       Bucket: dstBucket,
                       Key: dstKey,
                       Body: data,
                       ContentType: contentType
                   },
                   next);
               }
           ], function (err) {
               if (err) {
                   console.error(
                       'Unable to modify ' + srcBucket + '/' + srcKey +
                       ' and upload to ' + dstBucket + '/' + dstKey +
                       ' due to an error: ' + err
                   );
               } else {
                   console.log(
                       'Successfully modify ' + srcBucket + '/' + srcKey +
                       ' and uploaded to ' + dstBucket + '/' + dstKey
                   );
               }

               callback(null, "message");
           }
       );
    };

    So what am I doing wrong ?

  • How to generate video as fast as possible with subtitles and audio on node.js + ffmpeg ?

    12 septembre 2018, par DSeregin

    Intro :

    We receive from the site some pieces of text
    Pieces arrive to node.js-server

    At the output we need to get a video, merged from all the pieces of text, voiced by the machine voice, with the added subtitles and audio substrate. So that user could be share this video in the social networks. MKV format doesn`t supported by VK.com

    The options that we have tried :
    1. Get all the text at once, generate the entire speech, create a file with subtitles, burn subtitles in the video .mp4 (vk.com does not support the .mkv container). It took 12 seconds of operations for a 45-second video on the local computer.
    2. Generate audio and video files for each piece of text (with added subtitles). It took one second for one piece of text. At the final request, we merge all pieces together. The last request (merging) took 2-3 seconds, which is already bearable.

    The second variant looks acceptable in terms of speed, but if you run 50 clients at the same time, then the computer (tested on a MacBook PRO 2013, 2.4 GHz i7, 8gb 1600 Mhz DDR3, SSD 256gb) processed only 1 piece from 1 client in 60 seconds (60 times slower), then the computer hung tight.

    The commands we used :

    • Burn video subtitles and trim up to conditional 6 seconds (in the code send unix timestamp)

    ffmpeg -i import / back.mov -i export_0 / tmp.srt -scodec mov_text -t 6 export_0 / output.mov

    • Merging all audio

    ffmpeg -i audio1.mp3 .... -i audio15.mp3 merged.mp3

    • Overlay audio-substrate on the text

    ffmpeg -i merged.mp3 -i back.mp3 -filter_complex amerge -ac 2-c: a libmp3lame -q: a 4 -shortest audio.mp3

    • Merging all videos

    ffmpeg -i video.txt -f concat -c copy video.mp4

    • Overlay audio on video

    ffmpeg -i audio.mp3 -i video.mp4 -i test.mp4 -i export / output.mp3 -c: v copy -c: a aac -map 0: v: 0 -map 1: a: 0 -shortest output .mp4

    Questions that torment :

    1. Is it faster ?

    2. Can I use other codecs or methods of gluing without re-encoding ?

    3. Try to call ffmpeg directly without a wrapper ? (in fact, it gives 50-100 ms of speed)

    4. Try not to save to disk, and write data to Stream and have them glue together in the end ?