Recherche avancée

Médias (91)

Autres articles (35)

  • Support de tous types de médias

    10 avril 2011

    Contrairement à beaucoup de logiciels et autres plate-formes modernes de partage de documents, MediaSPIP a l’ambition de gérer un maximum de formats de documents différents qu’ils soient de type : images (png, gif, jpg, bmp et autres...) ; audio (MP3, Ogg, Wav et autres...) ; vidéo (Avi, MP4, Ogv, mpg, mov, wmv et autres...) ; contenu textuel, code ou autres (open office, microsoft office (tableur, présentation), web (html, css), LaTeX, Google Earth) (...)

  • Supporting all media types

    13 avril 2011, par

    Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)

  • 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 (4224)

  • Trouble with hardware-assisted encoding/decoding via FFmpeg on Azure GPU vm's (ubuntu 16.04)

    3 mai 2017, par user3776020

    I am trying to use NVIDIA hardware acceleration with FFmpeg/libav, but can’t get it to work correctly on Azure vm’s running Ubuntu 16.04. For a sample case, I am trying to do a simple decoding of an h264 video into a raw YUV file (as detailed here : https:// developer.nvidia.com/ffmpeg).

    So far, I’ve tried it on NC-6, NC-12, and NV-6 machines (in different regions). In each of these instances, it would take about 30-45 seconds to process a single video frame. As a comparison, I also tried it on a P2.xlarge vm on AWS (which has very similar specs to the NC-6), which was able to process about 3000 frames in about 5 seconds. Has anyone else run into this issue with Azure machines, or has any idea why this would be the case ?

    Here are the commands I used to install the necessary drivers/libraries/etc (I also verified that each machine as the same NVIDIA driver version installed - 375.51) :

    CUDA_REPO_PKG=cuda-repo-ubuntu1604_8.0.61-1_amd64.deb

    wget -O /tmp/$CUDA_REPO_PKG
    http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/$CUDA_REPO_PKG

    sudo dpkg -i /tmp/$CUDA_REPO_PKG

    sudo apt-get update

    sudo apt-get install -y cuda-drivers

    sudo apt-get install -y cuda

    sudo apt-get install -y nvidia-cuda-toolkit

    [reboot]

    sudo apt-get update

    sudo apt-get upgrade -y

    sudo apt-get dist-upgrade -y

    [reboot]

    git clone https://github.com/FFmpeg/FFmpeg.git

    [download the latest video codec SDK from NVIDIA at : https://
    developer.nvidia.com/designworks/video_codec_sdk/downloads/v7.1]

    [unzipped codec, and copy header files from
    /Video_Codec_SDK_7.1.9/Samples/common/inc/ into /usr/include/]

    cd /FFmpeg

    ./configure —enable-nonfree —disable-shared —enable-nvenc
    —enable-cuda —enable-cuvid —enable-libnpp —extra-cflags=-Ilocal/include —extra-cflags=-I../nv_sdk —extra-ldflags=-L../nv_sdk

    sudo make && sudo make install

    For the FFmpeg command that I used to decode a sample movie file, I used the following :

    sudo ffmpeg -vsync 0 -c:v h264_cuvid -i sample_vid.mp4 -f rawvideo outputvid.yuv

  • compat/cuda : update cuvid/nvdec headers to Video Codec SDK 8.0.14

    8 mai 2017, par Timo Rothenpieler
    compat/cuda : update cuvid/nvdec headers to Video Codec SDK 8.0.14

    This raises the required minimum NVIDIA display driver versions :
    
NVIDIA Linux display driver 378.13 or newer
    
NVIDIA Windows display driver 378.66 or newer
    • [DH] compat/cuda/dynlink_cuda.h
    • [DH] compat/cuda/dynlink_cuviddec.h
    • [DH] compat/cuda/dynlink_loader.h
    • [DH] compat/cuda/dynlink_nvcuvid.h

  • compat/nvenc : bump nvEncodeAPI.h to Video Codec SDK 8.0.14

    8 mai 2017, par Timo Rothenpieler
    compat/nvenc : bump nvEncodeAPI.h to Video Codec SDK 8.0.14

    This raises the required minimum NVIDIA display driver versions :
    
NVIDIA Linux display driver 378.13 or newer
    
NVIDIA Windows display driver 378.66 or newer
    • [DH] compat/nvenc/nvEncodeAPI.h

Navigation