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  • Les vidéos

    21 avril 2011, par

    Comme les documents de type "audio", Mediaspip affiche dans la mesure du possible les vidéos grâce à la balise html5 .
    Un des inconvénients de cette balise est qu’elle n’est pas reconnue correctement par certains navigateurs (Internet Explorer pour ne pas le nommer) et que chaque navigateur ne gère en natif que certains formats de vidéos.
    Son avantage principal quant à lui est de bénéficier de la prise en charge native de vidéos dans les navigateur et donc de se passer de l’utilisation de Flash et (...)

  • Submit bugs and patches

    13 avril 2011

    Unfortunately a software is never perfect.
    If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
    If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
    You may also (...)

  • Encoding and processing into web-friendly formats

    13 avril 2011, par

    MediaSPIP automatically converts uploaded files to internet-compatible formats.
    Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
    Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
    Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
    All uploaded files are stored online in their original format, so you can (...)

Sur d’autres sites (7423)

  • Python OpenCV real-time blurring with saving to output

    10 janvier 2024, par Oleg Novosad

    I have a live video stream via RTSP from my IP camera. I want to blur faces on that stream and output for mobile usage (HLS, H.264, etc). All this should ideally happen in real-time — with the minimum of resources consumed. I plan to deploy this later to some cloud, so the less money I spend on resources the better.

    


    Currently I have a working solution like so :

    


      

    • I capture video using OpenCV

      • 


    • I update every frame with Gaussian Blur and save it to some folder

      • 


    • After some amount of frames I create MP4 / AVI / whatever video and make it accessible via HTTP URL

      • 


    • All of it is running on Django for now

      • 


    


    I know I am doing something wrong, can someone suggest a better solution ?

    


  • ffmpeg : real time buffer full frame dropped

    10 mai 2015, par Nyaruko

    I am using ffmpeg to write a simple program to read the webcam.
    However, in some case I get the printing said :

    real time buffer 80% full frame dropped

    But the program still keeps running.
    I’ve checked the internet and the reason is due to the limited buffer size.
    My question is : will this cause any problems ? should I write code to deal with it ?
    For my application, I am just viewing the frames and loss some frames are totally fine.

  • Revision a2c01ed5b4 : Added placeholder for real time mode Change-Id : I203d10f76c7ca78d875eaae15557cd

    6 janvier 2014, par Yaowu Xu

    Changed Paths :
     Modify /vp9/encoder/vp9_onyx_if.c


     Modify /warnings.c


     Modify /warnings.h



    Added placeholder for real time mode

    Change-Id : I203d10f76c7ca78d875eaae15557cd765c6240d1

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