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  • Des sites réalisés avec MediaSPIP

    2 mai 2011, par

    Cette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
    Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.

  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 0.2 is the first MediaSPIP stable release.
    Its official release date is June 21, 2013 and is announced here.
    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 (...)

  • Participer à sa traduction

    10 avril 2011

    Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
    Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
    Actuellement MediaSPIP n’est disponible qu’en français et (...)

Sur d’autres sites (511)

  • tools/python : add script to convert TensorFlow model (.pb) to native model (.model)

    13 juin 2019, par Guo, Yejun
    tools/python : add script to convert TensorFlow model (.pb) to native model (.model)

    For example, given TensorFlow model file espcn.pb,
    
to generate native model file espcn.model, just run :
    
python convert.py espcn.pb
    

    In current implementation, the native model file is generated for
    
specific dnn network with hard-code python scripts maintained out of ffmpeg.
    
For example, srcnn network used by vf_sr is generated with
    
https://github.com/HighVoltageRocknRoll/sr/blob/master/generate_header_and_model.py#L85
    

    In this patch, the script is designed as a general solution which
    
converts general TensorFlow model .pb file into .model file. The script
    
now has some tricky to be compatible with current implemention, will
    
be refined step by step.
    

    The script is also added into ffmpeg source tree. It is expected there
    
will be many more patches and community needs the ownership of it.
    

    Another technical direction is to do the conversion in c/c++ code within
    
ffmpeg source tree. While .pb file is organized with protocol buffers,
    
it is not easy to do such work with tiny c/c++ code, see more discussion
    
at http://ffmpeg.org/pipermail/ffmpeg-devel/2019-May/244496.html. So,
    
choose the python script.
    

    Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
    • [DH] .gitignore
    • [DH] tools/python/convert.py
    • [DH] tools/python/convert_from_tensorflow.py

  • haw to diffusion live streaming [closed]

    25 juin 2022, par abderrahim khadri

    I want to create projects to diffusion streaming and pass ads on streaming without kill streaming and I puzzled what tools I should use ffmpeg or OBS or something else, the server what I'm using is CentOS without a powerful carte graph. And I had to be automated this process. Thanks

    &#xA;

  • Revision d14c7265f1 : Bugfix in model coef prob experiment Fixes an issue with model based update tha

    26 mars 2013, par Deb Mukherjee

    Changed Paths : Modify /vp9/decoder/vp9_decodframe.c Bugfix in model coef prob experiment Fixes an issue with model based update that got into the original patch that was merged. Change-Id : Ie42d3d0aff2e48cd187d96664dbd3e9d6d3ac22f

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