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Autres articles (86)

  • Submit enhancements and plugins

    13 avril 2011

    If you have developed a new extension to add one or more useful features to MediaSPIP, let us know and its integration into the core MedisSPIP functionality will be considered.
    You can use the development discussion list to request for help with creating a plugin. As MediaSPIP is based on SPIP - or you can use the SPIP discussion list SPIP-Zone.

  • List of compatible distributions

    26 avril 2011, par

    The table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
    If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...)

  • Le profil des utilisateurs

    12 avril 2011, par

    Chaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
    L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...)

Sur d’autres sites (14430)

  • How to print the video meta output by the browser version of ffmpeg.wasm to the console of Google Chrome ?

    17 janvier 2021, par helloAl

    I would like to ask about how to use the browser version of ffmpeg.wasm.

    


    Through my investigation, I know that the following command can be used to output the video metadata to a file in the terminal of windows or mac.

    


    ffmpeg -i testvideo.mp4 -f ffmetadata testoutput.txt


    


    and then I can get this matadata like this :
enter image description here

    


    I want to parse the metadata of the video through the browser, and then print the metadata to the Google console (or output to a file). At present, I know that the browser version of ffmpeg.wasm can achieve this function, but I have looked at its examples, which does not involve this part of the content. (https://github.com/ffmpegwasm/ffmpeg.wasm/blob/master/examples/browser/image2video.html)

    


    But I want to print it to the console of Google Chrome through the browser version(usage:brower) of ffmpeg.wasm (https://github.com/ffmpegwasm/ffmpeg.wasm).
So I want to ask you how to achieve this, thank you.

    


  • avformat/av1 : add color config values to AV1SequenceParameters

    30 juillet 2019, par James Almer
    avformat/av1 : add color config values to AV1SequenceParameters

    Signed-off-by : James Almer <jamrial@gmail.com>
    • [DH] libavformat/av1.c

  • Google cloud speech to text not giving output for OGG & MP3 files

    27 avril 2021, par Vedant Jumle

    I am trying to perform speech to text on a bunch of audio files which are over 10 mins long. I don't want to waste storage on the cloud bucket by straight-up uploading wav files on it. So I am using ffmpeg to convert the files either to ogg or mp3 like :&#xA;ffmpeg -y -i audio.wav -ar 12000 -r 16000 audio.mp3

    &#xA;

    ffmpeg -y -i audio.wav -ar 12000 -r 16000 audio.ogg

    &#xA;

    For testing purpose I ran the speech to text service on a dummy wav file and it seemed to work, I got the text as expected. But for some reason it isn't detecting any speech when I use the ogg or mp3 file. I could not give amr files to work either.

    &#xA;

    My code :

    &#xA;

    def transcribe_gcs(gcs_uri):&#xA;    client = speech.SpeechClient()&#xA;&#xA;    audio = speech.RecognitionAudio(uri=gcs_uri)&#xA;    config = speech.RecognitionConfig(&#xA;        encoding="OGG_OPUS", #replace with "LINEAR16" for wav, "OGG_OPUS" for ogg, "AMR" for amr&#xA;        sample_rate_hertz=16000,&#xA;        language_code="en-US",&#xA;    )&#xA;    print("starting operation")&#xA;    operation = client.long_running_recognize(config=config, audio=audio)&#xA;    response = operation.result()&#xA;    print(response)&#xA;

    &#xA;

    I have set up the authentication properly, so that is not a problem.

    &#xA;

    When I run the speech to text service on the same audio but in ogg or mp3(I just comment out the encoding setting from the config for mp3) format, it gives no response, just prints out a line break and done.

    &#xA;

    What can I do to fix this ?

    &#xA;

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