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Autres articles (97)

  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
    The zip file provided here only contains the sources of MediaSPIP in its standalone version.
    To get a working installation, you must manually install all-software dependencies on the server.
    If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)

  • HTML5 audio and video support

    13 avril 2011, par

    MediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
    The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
    For older browsers the Flowplayer flash fallback is used.
    MediaSPIP allows for media playback on major mobile platforms with the above (...)

  • ANNEXE : Les plugins utilisés spécifiquement pour la ferme

    5 mars 2010, par

    Le site central/maître de la ferme a besoin d’utiliser plusieurs plugins supplémentaires vis à vis des canaux pour son bon fonctionnement. le plugin Gestion de la mutualisation ; le plugin inscription3 pour gérer les inscriptions et les demandes de création d’instance de mutualisation dès l’inscription des utilisateurs ; le plugin verifier qui fournit une API de vérification des champs (utilisé par inscription3) ; le plugin champs extras v2 nécessité par inscription3 (...)

Sur d’autres sites (5716)

  • flac demuxer : parse the WAVEFORMATEXTENSIBLE_CHANNEL_MASK tag

    25 mai 2014, par Anton Khirnov
    flac demuxer : parse the WAVEFORMATEXTENSIBLE_CHANNEL_MASK tag

    It is used to store the channel mask for non-standard layouts.
    • [DBH] libavformat/flacdec.c

  • how to us google ML kit Selfie segmentation in flutter to overlay segmented user on top of chosen image or video ? [closed]

    4 avril 2024, par Amr

    I'm working on implementing a virtual background feature using the Google ML Kit selfie segmentation Flutter plugin. The goal is to separate the user from the background live from the camera feed, overlay the user on a chosen image or video, and then create a new video combining these elements.

    


    Currently, I'm successfully obtaining the mask using the plugin. However, I'm concerned about performance issues if I directly copy pixels to achieve the overlay effect, especially in real-time scenarios.

    


    I'm looking for alternative approaches or best practices to efficiently achieve this functionality without sacrificing performance. Any insights or suggestions on how to approach this would be greatly appreciated.

    


    I thought about using ffmpeg but not sure how to take the user pixels from the camera feed, I am not a flutter developer so not sure how to do so.

    


  • Revision 32595 : avec le numero de version des plugins

    1er novembre 2009, par fil@… — Log

    avec le numero de version des plugins

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