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  • Personnaliser en ajoutant son logo, sa bannière ou son image de fond

    5 septembre 2013, par

    Certains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;

  • Participer à sa traduction

    10 avril 2011

    Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
    Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
    Actuellement MediaSPIP n’est disponible qu’en français et (...)

  • Ecrire une actualité

    21 juin 2013, par

    Présentez les changements dans votre MédiaSPIP ou les actualités de vos projets sur votre MédiaSPIP grâce à la rubrique actualités.
    Dans le thème par défaut spipeo de MédiaSPIP, les actualités sont affichées en bas de la page principale sous les éditoriaux.
    Vous pouvez personnaliser le formulaire de création d’une actualité.
    Formulaire de création d’une actualité Dans le cas d’un document de type actualité, les champs proposés par défaut sont : Date de publication ( personnaliser la date de publication ) (...)

Sur d’autres sites (7381)

  • 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 ?

  • FFMPEG for aws s3 bucket signed url not working in node js

    21 août 2018, par ahmed sharief

    I am trying to create thumbnails from an amazon s3 bucket signed url. I am able to generate thumbnails when i run the command in terminal

    ffmpeg -ss 00:00:02 -i "https://test-s3-bucket.s3.ap-south-1.amazonaws.com/user_gallery_assets/5b6936069ac2bf0602085367/gallery/images/5b7be08527641dee8c1f8134.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=xxxxxxxxx%2F20180821%2Fap-south-1%2Fs3%2Faws4_request&X-Amz-Date=20180821T095101Z&X-Amz-Expires=900&X-Amz-Signature=d7f81f4eed3d6c87c04dc1b0ad06beeb946afa33d417585f57fad72aeadb3ac0&X-Amz-SignedHeaders=host" -vframes 1 -q:v 2 -f image2 output.jpg

    I am running the above command in terminal and its working fine but when i try to implement the same in node js its showing "no such file or directory error". Though i am encoding the url with double quotes then also its showign same error. Here is my node js code....

    function uploadThumbNailForVideo(obj,url, thumb_url){
       return new Promise((resolve, reject) => resolve(url))
       .then((url) => awsHelper.getImage(url))
       .then((result) => {

           var resUrl = "\""+result+"\"";

           var args = [
               '-i', resUrl,
               '-ss', '00:00:02',
               '-vframes', '1',
               '-f','image2',
               'output.jpg'
           ]
           //console.log(args)
           var ffmpeg = require('child_process').spawn('ffmpeg', args);

           ffmpeg.on('error', function (err) {
               console.log(err);
           });

           ffmpeg.on('close', function (code) {

           });

           ffmpeg.stderr.on('data', function (data) {
               var tData = data.toString('utf8');
               var a = tData.split('\n');
               console.log("A",a);
           });

           ffmpeg.stdout.on('data', function (data) {
               //
           });


       });

    }

    and i am getting the following error

    A [ 'ffmpeg version 4.0.2 Copyright (c) 2000-2018 the FFmpeg
    developers' ]
    A [ '',
     '  built with Apple LLVM version 9.1.0 (clang-902.0.39.2)',
     '  configuration: --prefix=/usr/local/Cellar/ffmpeg/4.0.2 --enable-
    shared --enable-pthreads --enable-version3 --enable-hardcoded-tables --
    enable-avresample --cc=clang --host-cflags= --host-ldflags= --enable-
    gpl --enable-libmp3lame --enable-libx264 --enable-libxvid --enable-
    opencl --enable-videotoolbox --disable-lzma',
      '  libavutil      56. 14.100 / 56. 14.100',
      '  libavcodec     58. 18.100 / 58. 18.100',
     '  libavformat    58. 12.100 / 58. 12.100',
     '  libavdevice    58.  3.100 / 58.  3.100',
     '  libavfilter     7. 16.100 /  7. 16.100',
     '  libavresample   4.  0.  0 /  4.  0.  0',
     '  libswscale      5.  1.100 /  5.  1.100',
     '  libswresample   3.  1.100 /  3.  1.100',
     '  libpostproc    55.  1.100 / 55.  1.100',
     '"https://test-s3-bucket.s3.ap-south-1.amazonaws.com/user_gallery_assets/5b6936069ac2bf0602085367/gallery/images/5b7be08527641dee8c1f8134.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=xxxxxxxxx%2F20180821%2Fap-south-1%2Fs3%2Faws4_request&X-Amz-Date=20180821T095101Z&X-Amz-Expires=900&X-Amz-Signature=d7f81f4eed3d6c87c04dc1b0ad06beeb946afa33d417585f57fad72aeadb3ac0&X-Amz-SignedHeaders=host": No such file or directory',
     '' ]

    ffmpeg exited with code 1
  • Matomo’s privacy-friendly web analytics software named best of the year 2022

    25 janvier 2023, par Erin

    W3Tech names Matomo ‘Traffic Analysis Tool of the Year 2022’ in its Web Technologies of the Year list of technologies that gained the most sites

    Matomo, a world-leading open-source web analytics platform, is proud to announce that it has received W3Tech’s award for the best web analytics software in its Web Technologies of the Year 2022. Matomo is the first independent, open-source tool named Traffic Analysis Tool of the Year – with previous winners including Google Analytics and Facebook Pixel.


    W3Tech, a trusted source for web technology research, determines winners for its annual Web Technologies of the Year list by technologies that gained the most websites. W3Tech surveys usage across millions of websites globally – comparing the number of sites using a technology on January 1st of one year with the number of sites using it the following year.

    W3Tech commenting on the Traffic Analysis Tool winners, said : “Matomo, the privacy-focused open source analytics platform, is the traffic analysis tool of the year for the first time, while Google Analytics and the other previous winners all lost a bit of market share in 2022. The Chinese Baidu Analytics ranks second this year. Snowplow, another open source tool, is an unexpected third.”


    Matomo launched in 2007 as an open-source analytics alternative to Google Analytics, keeps businesses GDPR and CCPA-compliant. Matomo is trusted by over 1.4 million websites in 220 countries and is translated into over 50 languages.


    Matomo founder Matthieu Aubry says, “As the first independent, open-source traffic analysis tool to receive this recognition, Matomo is humbled and honoured to lead the charge for change. It’s a testament to the hard work of our community, and it’s a clear sign that consumers and organisations are looking for ethical alternatives.


    “This recognition is a major win for the entire privacy movement and proves that the tide is turning against the big tech players who I believe have long prioritised profits over privacy. We are committed to continuing our work towards a more private and secure digital landscape for all.”


    In W3Tech’s Web Technologies of the Year 2022, Matomo was also judged third Tag Manager, behind Google Tag Manager and Adobe DTM.


    Matomo helps businesses and organisations track and optimise their online presence allowing users to easily collect, analyse, and act on their website and marketing data to gain a deeper understanding of their visitors and drive conversions and revenue. With 100% data ownership, customers using the company’s tools get the power to protect their website user’s privacy – and where their data is stored and what’s happening to it, without external influence. Furthermore, as the data is not sampled, it maintains data accuracy. 


    Aubry says its recent award is a positive reminder of how well this solution is performing internationally and is a testament to the exceptional quality and performance of Matomo’s powerful web analytics tools that respect a user’s privacy.


    “In 2020, the CJEU ruled US cloud servers don’t comply with GDPR. Then in 2022, the Austrian Data Protection Authority and French Data Protection Authority (CNIL) ruled that the use of Google Analytics is illegal due to data transfers to the US. With Matomo Cloud, the customer’s data is stored in Europe, and no data is transferred to the US. On the other hand, with Matomo On-Premise, the data is stored in your country of choice.


    “Matomo has also become one of the most popular open-source alternatives to Google Analytics for website owners and marketing teams because it empowers web professionals to make business decisions. Website investment, collateral, and arrangement are enriched by having the full picture and control of the data.”

    Image of a laptop surrounded by multiple data screens from matomo

    About Matomo

    Matomo is a world-leading open-source web analytics platform, trusted by over 1.4 million websites in 220 countries and translated into over 50 languages. Matomo helps businesses and organisations track and optimise their online presence allowing users to easily collect, analyse, and act on their website and marketing data to gain a deeper understanding of their visitors and drive conversions and revenue. Matomo’s vision is to create, as a community, the leading open digital analytics platform that gives every user complete control of their data.

    For more information/ press enquiries Press – Matomo