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Autres articles (44)

  • Utilisation et configuration du script

    19 janvier 2011, par

    Informations spécifiques à la distribution Debian
    Si vous utilisez cette distribution, vous devrez activer les dépôts "debian-multimedia" comme expliqué ici :
    Depuis la version 0.3.1 du script, le dépôt peut être automatiquement activé à la suite d’une question.
    Récupération du script
    Le script d’installation peut être récupéré de deux manières différentes.
    Via svn en utilisant la commande pour récupérer le code source à jour :
    svn co (...)

  • 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 (...)

  • 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 (...)

Sur d’autres sites (5660)

  • A Docker Ubuntu image with ARM Mali G610 GPU support [closed]

    7 novembre 2023, par Тимур Тимаев

    I have a docker-compose project which automates creation of GFX-video files used in TV production. The program takes an order from a user, takes screenshots of various web-pages on the internet, composes these screenshots into a html-based animation and renders this animation in a video file. User gets broadcast ready .MP4 file.

    


    I currently export animation from html by extracting every single frame as a PNG sequence and then stitch them together using FFMPEG. However there's a much faster way to do this - record the html animation as it is playing in a browser.

    


    The issue is that the animation is choppy due to the lack of GPU support in a Docker container. I'm using Seleniarm/Chrome and it's not hardware accelerated.

    


    I'm trying to run this project on a OrangePI 5 Plus SBC which features Rockchip RK3588 SoC with ARM Mali G610 GPU. I have found a Ubuntu image by Joshua Riek which implements GPU acceleration the best in my opinion. It's very smooth. Joshua adds SoC GPU drivers to the Ubuntu image thus adding the gpu support.

    


    I want to build a Docker image from this repo to be able to spin it up, install Chrome, Selenium to the container, play the html animation and record it via x11grab device of FFMPEG.

    


    My problem is that I have little knowledge about building containers myself. Let alone tinkering with container drivers and etc. I'm not even sure if it's possible at all.

    


    Can anybody help me or point me in the right direction ?

    


    I have found some links, but I have absolutely no clue for where to start from.
I've looked into Seleniarm but some discussions mentioned that it uses XVFB which can not be hardware accelerated by definition.

    


  • Installing openCV with anaconda on ubuntu

    27 juin 2016, par Akash Sethi

    I’m trying to use the openCV library with anaconda (Python) , i am able to import the cv2 package but nothing has been able to access a .mp4 file so far. It’s an issue with the ffmpeg thing which i have no idea about. I cannot post code right now since I’m using my phone. But if anyone can give me a Linux script or a tutorial that can help me work with openCV on python to be able to analyze mp4 videos with h264 encoding , that would be great

  • Installing openCV with anaconda on ubuntu

    6 décembre 2017, par Akash Sethi

    I’m trying to use the openCV library with anaconda (Python) , i am able to import the cv2 package but nothing has been able to access a .mp4 file so far. It’s an issue with the ffmpeg thing which i have no idea about. I cannot post code right now since I’m using my phone. But if anyone can give me a Linux script or a tutorial that can help me work with openCV on python to be able to analyze mp4 videos with h264 encoding , that would be great

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