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  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 0.2 est la première version de MediaSPIP stable.
    Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

  • Creating farms of unique websites

    13 avril 2011, par

    MediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
    This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)

Sur d’autres sites (12928)

  • x86/tx_float : remove vgatherdpd usage

    20 mai 2022, par Lynne
    x86/tx_float : remove vgatherdpd usage
    

    Its performance loss ranges from either being just as fast as individual loads
    (Skylake), a few percent slower (Alderlake), 8% slower (Zen 3), to completely
    disasterous (older/other CPUs).

    Sadly, gathers never panned out fast on x86, even with the benefit of time and
    implementation experience.

    This also saves a register, as there's no need to fill out an additional
    register mask.

    Zen 3 (16384-point transform) :
    Before : 1561050 decicycles in av_tx (fft), 131072 runs, 0 skips
    After : 1449621 decicycles in av_tx (fft), 131072 runs, 0 skips

    Alderlake :
    2% slower on big transforms (65536), to 1% (131072), to a few percent for smaller
    sizes.

    • [DH] libavutil/x86/tx_float.asm
    • [DH] libavutil/x86/tx_float_init.c
  • rtmp audio out of sync, http works fine

    21 janvier 2014, par marca

    We have encoded and distributed videos for some years now, using FFMPEG to produce h.264/mp4 files that have been working great for us. We have been using HTML mode and fall-backed to flash for browsers that does not support it natively using flowplayer.

    We use cloudfront to serve our files from a s3 bucket and have been using http progressive streaming.

    Recently we started distribute the files in flashmode over rtmp instead, using a cloudfront streaming distribution pointing to the same amazon s3 bucket.

    All good for some weeks, until yesterday when we notice a couple of files with audio sync issues in rtmp mode.
    The same file have no sync problems in flash with direct url to file.

    What can be the case ?

    Not working when streamed via RTMP, but file work with http streaming/progressive.
    You see the sync issue 15 sec's into the video.
    rtmp ://s2xe2avk54qztf.cloudfront.net:1935/cfx/st/mp4:95fvOY255bdPspO3z6tEvGi3Em7/default.mp4
    http://media.shootitlive.com/95fvOY255bdPspO3z6tEvGi3Em7/default.mp4

    Another file that have no sync issue at all.
    rtmp ://s2xe2avk54qztf.cloudfront.net:1935/cfx/st/mp4:P4EuH2TZxfV6BvpupP6dxrrs7gD/default.mp4
    http://media.shootitlive.com/P4EuH2TZxfV6BvpupP6dxrrs7gD/default.mp4

    Both files have the same format for video and audio and have been encoded the exact same way with ffmpeg. It's not player related as we see the audio sync issue on several players and when playing stream in VLC.

  • AWS Lambda execution time for FFMPEG transcoding

    4 janvier 2023, par FlamingMoe

    I'm using AWS Lambda for converting files from WEBM to MP4

    


    I'm using ffmpeg version 4.3.1-static https://johnvansickle.com/ffmpeg/ (I have done the following tests also with the ffmpeg in serverless AWS ffmpeg layer (that includes de 4.1.3), but results are even worse (about 25% slower)

    


    I'm using Node 10x as container.

    


    WEBM size   Time to convert.  Memory Lambda.  Memory used (as shown in log)

80Mb             ~44s              3008            410
40Mb             ~44s              3008            375

80Mb             ~70s              1024            321
40Mb             ~70s              1024            279


    


    All videos are 80s length. So as far as I can see, it does not matter the size of the WEBM, if the length of the video is the same, it takes the same to convert. So ffmpeg takes more time if the video length is higher, not if the file size is higher ... curious ;-)

    


    But in the other hand, I'm confused with Lambda memory. I know memory and CPU comes together in Lambda ... the more memory you choose, the more CPU is assigned.

    


    But...

    


      

    1. Why ffmpeg just take about 300/400Mb if it has more to run ?
    2. 


    3. How can I tell ffmpeg to use more memory ?
    4. 


    5. Is there any option to accelerate the process in Lambda ?
    6. 


    


    Btw, In all tests, all ffmpeg are the same, and

    


    cpu-used paramenter)

    


      

    • I added to ffmpeg parameters cpu-used=100, and it does not matter at all if I put cpu-used=5 ... times are the same, so I guess that parameter is useless (i don't know why)
    • 


    


    threads parameter)

    


      

    • Also I did some tests with "threads" parameters, but it's useless also.
    • 


    


    I know it's not a good comparison, but same files takes about 5 seconds to be converted in a simple dedicated server (8 vCores and 8GB RAM in OVH Centos VPS).

    


    Btw, Amazon Elastic Transcoder is not an option :
a) it's extremely more expensive
b) it has just his profiles to convert, and my ffmpeg commands are very complex (watermarks, effects, etc ...)