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  • Des sites réalisés avec MediaSPIP

    2 mai 2011, par

    Cette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
    Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.

  • 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.

  • Supporting all media types

    13 avril 2011, par

    Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)

Sur d’autres sites (7462)

  • 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
  • python : can't open file 'F :\\Episode Split\\Episode' : [Errno 2] No such file or directory [closed]

    26 février 2024, par Rafa Segovia

    everyone !

    


    I'm trying to write a python script to split a video into parts based on a list of expressions from a docx file, comparing them to the dialogue on an srt file.
I think I have everything installed on my Windows 10 pc.
I keep getting this error.

    


    python : can't open file 'F :\Episode Split\Episode' : [Errno 2] No such file or directory

    


    It's like it detects a space somewhere and stops reading a path.
There's no file called "Episode" anywhere mentioned on the script.
Can you take a look at the script and pinpoint how I can fix this error ?

    


    Thank you

    


    import os
import re
import cv2
import unicodedata
import chardet
from fuzzywuzzy import fuzz
import docx
from bs4 import BeautifulSoup
import xml.etree.ElementTree as ET

# Define variables
expressions_per_cut = 4
max_time_per_cut_seconds = 20
fuzzy_ratio = 60
input_parent_folder = r'F:\Episode Split'
xml_output_folder = r'F:\Episode Split'



    


    I tried removing spaces in the paths by using hyphens among other things.