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  • Keeping control of your media in your hands

    13 avril 2011, par

    The vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
    While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
    MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
    MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...)

  • 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 (...)

  • Dépôt de média et thèmes par FTP

    31 mai 2013, par

    L’outil MédiaSPIP traite aussi les média transférés par la voie FTP. Si vous préférez déposer par cette voie, récupérez les identifiants d’accès vers votre site MédiaSPIP et utilisez votre client FTP favori.
    Vous trouverez dès le départ les dossiers suivants dans votre espace FTP : config/ : dossier de configuration du site IMG/ : dossier des média déjà traités et en ligne sur le site local/ : répertoire cache du site web themes/ : les thèmes ou les feuilles de style personnalisées tmp/ : dossier de travail (...)

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  • google speech to text errors out (grpc invalid deadline NaN)

    15 décembre 2019, par jamescharlesworth

    I have a ffmpeg script that cuts an audio file into a short 5 second clip, however after I cut the file, calling the google speech recognize command errors out.

    Creating a clip - full code link :

    const uri = 'http://traffic.libsyn.com/joeroganexp/p1400.mp3?dest-id=19997';
    const command = ffmpeg(got.stream(uri));
    command
     .seek(0)
     .duration(5)
     .audioBitrate(128)
     .format('mp3')
    ...

    which works fine and creates ./clip2.mp3.

    I then take that file and upload it to speech to text api and it times out (script here. When I put timeout and maxRetries argument I can get the actual error :

    Error: 2 UNKNOWN: Getting metadata from plugin failed with error: Deadline is too far in the future
       at Object.callErrorFromStatus (/Users/jamescharlesworth/Downloads/demo/node_modules/@grpc/grpc-js/build/src/call.js:30:26)
       at Http2CallStream.<anonymous> (/Users/jamescharlesworth/Downloads/demo/node_modules/@grpc/grpc-js/build/src/client.js:96:33)
       at Http2CallStream.emit (events.js:215:7)
       at /Users/jamescharlesworth/Downloads/demo/node_modules/@grpc/grpc-js/build/src/call-stream.js:98:22
       at processTicksAndRejections (internal/process/task_queues.js:75:11) {
     code: 2,
     details: 'Getting metadata from plugin failed with error: Deadline is too far in the future',
     metadata: Metadata { internalRepr: Map {}, options: {} },
     note: 'Exception occurred in retry method that was not classified as transient'
    }
    </anonymous>

    Stepping through the grpc code i see that the deadline is an invalid date.
    enter image description here
    This seems to be causing the issue but i assume it may be from incorrect params passed into the speech client.recognize() method.

    A few other things to note :

    • The script works for some audio files, not all
    • I can upload the broken my clip mp3 clip2.mp3 to the demo app here and it works fine.
    • If I change the seek command of my ffmpeg script to start at 0.01 speech recognize command will work (however it breaks other audio clips as its not the correct starting point). I notice that when i do this the png of the mp3 gets stripped out and is a much smaller file size
  • Problem to capture a video in 4K with FFmpeg

    16 mars 2020, par Ale7

    I am a new user of FFmpeg. I am trying to capture a ten minutes video in mp4 format, on 4 4K’s slot and 4 FHD’s slot with cards video Pro Capture by Magewell.
    My machine has the following characteristics :

    • OS : Windows Server 2012
    • RAM : 64 GB
    • CPU : 2 processors Intel Xeon E5-2640 v3 @ 2.60 GHz

    The FFmpeg script, for slot 4K (I change resolution for FHD), used is the following :

    ffmpeg -rtbufsize 2048M -re -y -thread_queue_size 20384 -pix_fmt yuv420p -f dshow -video_size 3840x2160 -r 50 -i video="Video (05-0 Pro Capture HDMI 4K+)"  -codec:v libx264  -preset ultrafast -threads 8 -pix_fmt yuv420p -tune fastdecode -bufsize 2048M output.mp4

    This command is the best solution found at the moment, but the CPU goes up to 100% and the buffer fills up quickly and starts to drop the frames.
    So, my question : Is there a way to improve it or is a limit, principally, of the my machine ?
    If it is a machine limit, you would indicate me the minium requirments to do that.

    Thanks in advance to everyone.

  • problem with moviepy.video.io.ffmpeg_tools.ffmpeg_movie_from_frames

    7 mars 2023, par fjal

    when i try using this code it gives me this error

    &#xA;

    from moviepy.video.io.ffmpeg_tools import ffmpeg_movie_from_frames as a&#xA;a(&#x27;file.mp4&#x27;,&#x27;New folder&#x27;,24)&#xA;

    &#xA;

    Traceback (most recent call last) :&#xA;File "C :\Users\lenovo\Desktop\fr.py", line 2, in &#xA;a('file.mp4','New folder',24)&#xA;File "C :\Users\lenovo\AppData\Local\Programs\Python\Python37-32\lib\site-packages\moviepy\video\io\ffmpeg_tools.py", line 20, in ffmpeg_movie_from_frames&#xA;"-b", "%dk"%bitrate,&#xA;TypeError : %d format : a number is required, not str

    &#xA;