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Autres articles (111)

  • Use, discuss, criticize

    13 avril 2011, par

    Talk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
    The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
    A discussion list is available for all exchanges between users.

  • Participer à sa documentation

    10 avril 2011

    La documentation est un des travaux les plus importants et les plus contraignants lors de la réalisation d’un outil technique.
    Tout apport extérieur à ce sujet est primordial : la critique de l’existant ; la participation à la rédaction d’articles orientés : utilisateur (administrateur de MediaSPIP ou simplement producteur de contenu) ; développeur ; la création de screencasts d’explication ; la traduction de la documentation dans une nouvelle langue ;
    Pour ce faire, vous pouvez vous inscrire sur (...)

  • Déploiements possibles

    31 janvier 2010, par

    Deux types de déploiements sont envisageable dépendant de deux aspects : La méthode d’installation envisagée (en standalone ou en ferme) ; Le nombre d’encodages journaliers et la fréquentation envisagés ;
    L’encodage de vidéos est un processus lourd consommant énormément de ressources système (CPU et RAM), il est nécessaire de prendre tout cela en considération. Ce système n’est donc possible que sur un ou plusieurs serveurs dédiés.
    Version mono serveur
    La version mono serveur consiste à n’utiliser qu’une (...)

Sur d’autres sites (2979)

  • Web-based video editor

    13 avril 2021, par Danny

    We have a web-based editor currently that allows users to build animated web apps. The apps are made up of shapes, text, images, and videos. Except for videos, all other elements can also be animated around the screen. The result of building a animated app is basically a big blob of JSON.

    



    The playback code for the web app is web-based as well. It takes the JSON blob and constructs the HTML, which ends up playing back in some sort of browser environment. The problem is that most of the time this playback occurs on lower-end hardware like televisions and set-top boxes.

    



    These performance issues go away if there is some way to be able to convert a digital sign to video. Then the STB/smart TV simply plays a video, which is much more performant than playing back animations in a web view.

    



    Given a blob of JSON describing each layer and how to draw each type of object, its animation points, etc, how could I somehow take that and convert it to video on the server ?

    



    My first attempt at this was using PhantomJS to load the playback page in a headless browser, take a series of screenshots, and then use ffmpeg to merge those screenshots into a video. That worked great so long as there is no video. But it does not work with video since there is no HTML5 video tag support in PhantomJS, and even if there was, I would lose any audio.

    



    The other way I was thinking of doing it would be to again load the playback page in PhantomJS, but turn off the video layers and leave them transparent, then take screenshots as a series of PNGs with transparency. I would then combine these with the video layers.

    



    None of this feels very elegant though. I know there are web-based video editors out there that basically do what I'm trying to accomplish, so how do they do it ?

    


  • Web-based video editor

    10 octobre 2014, par Danny

    We have a web-based editor currently that allows users to build animated web apps. The apps are made up of shapes, text, images, and videos. Except for videos, all other elements can also be animated around the screen. The result of building a animated app is basically a big blob of JSON.

    The playback code for the web app is web-based as well. It takes the JSON blob and constructs the HTML, which ends up playing back in some sort of browser environment. The problem is that most of the time this playback occurs on lower-end hardware like televisions and set-top boxes.

    These performance issues go away if there is some way to be able to convert a digital sign to video. Then the STB/smart TV simply plays a video, which is much more performant than playing back animations in a web view.

    Given a blob of JSON describing each layer and how to draw each type of object, its animation points, etc, how could I somehow take that and convert it to video on the server ?

    My first attempt at this was using PhantomJS to load the playback page in a headless browser, take a series of screenshots, and then use ffmpeg to merge those screenshots into a video. That worked great so long as there is no video. But it does not work with video since there is no HTML5 video tag support in PhantomJS, and even if there was, I would lose any audio.

    The other way I was thinking of doing it would be to again load the playback page in PhantomJS, but turn off the video layers and leave them transparent, then take screenshots as a series of PNGs with transparency. I would then combine these with the video layers.

    None of this feels very elegant though. I know there are web-based video editors out there that basically do what I’m trying to accomplish, so how do they do it ?

  • Bypass Nvidia's 2 Stream Encode Limit On Windows

    28 novembre 2018, par Nimble

    I’m trying to encode 3 video streams simultaneously in FFmpeg but due to Nvidia’s 2 stream encode limit on GTX / RTX GPUs I have to encode one of the streams with my CPU. This forces me to output multiple files as opposed to one properly mapped file containing all audio and video streams which has many drawbacks involving synchronization and ease of use.

    Before actually considering investing $1000+ in a comparable Quadro GPU, which has no encode stream limits, I thought I’d search around to see if anyone has bypassed said limit. Eventually I came across this GitHub repository :
    https://github.com/keylase/nvidia-patch

    It seems to actually work... but it’s Linux only. Much of my hardware is incompatible with Linux so migration just isn’t an option for me. Not being smart enough to learn from this method and apply it to a Windows environment I kept looking and came across this repository :
    https://github.com/Matviy/nvidia-NVENC-multi-session-patch

    It would seem this is a method to bypass the limit on Windows but the instructions are way over my head. I’ve asked a few of my buddies who are experienced in coding but each one only seems to understand each method to a point and can’t really help.

    Was hoping someone could give some insight on the subject, possibly offering a solution, or confirming that the instructions are simply too vague.

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