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  • Publier sur MédiaSpip

    13 juin 2013

    Puis-je poster des contenus à partir d’une tablette Ipad ?
    Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir

  • 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 (...)

  • 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" (...)

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  • Split video into images with ffmpeg-python

    29 décembre 2022, par sgt pepper

    As far as I understand ffmpeg-python is main package in Python to operate ffmpeg directly.

    


    Now I want to take a video and save it's frames as separate files at some fps.

    


    There are plenty of command line ways to do it, e.g. ffmpeg -i video.mp4 -vf fps=1 img/output%06d.png described here

    


    But I want to do it in Python. Also there are solutions [1] [2] that use Python's subprocess to call ffmpeg CLI, but it looks dirty for me.

    


    Is there any way to to make it using ffmpeg-python ?

    


  • How to get progress percentage of flutter ffmpeg execution

    11 août 2021, par Sharik ansari

    I want to get percentage of ffmpeg execution in flutter

    


    I have some code example but I don't know to do this

    


    ANDROID EXAMPLE :

    


    int start = message.indexOf("time=");
    int end = message.indexOf(" bitrate");
    if (start != -1 && end != -1) {
        String duration = message.substring(start + 5, end);
        if (duration != "") {
            try {
                SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS");
                sdf.setTimeZone(TimeZone.getTimeZone("UTC"));
                dialog.setProgress((int)sdf.parse("1970-01-01 " + duration).getTime());                        
            }catch (ParseException e)
            {
                e.printStackTrace();
            }
        }
}


    


    FLUTTER CODE :

    


      void statisticsCallback(Statistics statistics) {
print("Statistics: executionId: ${statistics.executionId}, time: ${statistics.time}, size: ${statistics.size}, bitrate: ${statistics.bitrate}, speed: ${statistics.speed}, videoFrameNumber: ${statistics.videoFrameNumber}, videoQuality: ${statistics.videoQuality}, videoFps: ${statistics.videoFps}");
  }


    


    how can I generate progress of execution from statisticsCallback method ?

    


    Please help me out

    


  • Emphasis level map with ffmpeg using NVENC

    2 novembre 2020, par ofer rubinstein

    I am trying to have different compression levels, to different regions in the video.
ffmpeg has something called "addroi", but it's just a recommendation and doesn't guarantee the absolute level of compression.
Nvidia NVENC has something called Emphasis Level Map, I am hoping this will be able to achieve an accurate level of compression per region.

    


    I am unable to find how to do this via ffmpeg executable, so I am starting to try to do this using the ffmpeg SDK.
Do you have any idea how to do this via the ffmpeg.exe, instead of using the SDK ?

    


    Here is what I am talking about in the NVIDIA documentation :

    


    https://docs.nvidia.com/video-technologies/video-codec-sdk/nvenc-video-encoder-api-prog-guide/index.html#emphasis-map

    


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