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  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
    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 (...)

  • ANNEXE : Les plugins utilisés spécifiquement pour la ferme

    5 mars 2010, par

    Le site central/maître de la ferme a besoin d’utiliser plusieurs plugins supplémentaires vis à vis des canaux pour son bon fonctionnement. le plugin Gestion de la mutualisation ; le plugin inscription3 pour gérer les inscriptions et les demandes de création d’instance de mutualisation dès l’inscription des utilisateurs ; le plugin verifier qui fournit une API de vérification des champs (utilisé par inscription3) ; le plugin champs extras v2 nécessité par inscription3 (...)

  • Publier sur MédiaSpip

    13 juin 2013

    Puis-je poster des contenus à partir d’une tablette Ipad ?
    Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir

Sur d’autres sites (9285)

  • lavf/qsv_scale : add scaling modes support

    18 juin 2019, par Zhong Li
    lavf/qsv_scale : add scaling modes support
    

    low_power mode will use a fixed HW engine (SFC), thus can offload EU usage.
    high quality mode will take EU usage (AVS sampler).

    Performance and EU usage (Render usage) comparsion on Intel(R) Xeon(R) CPU E3-1225 v5 @ 3.30GHz :

    High quality mode : ffmpeg -hwaccel qsv -c:v h264_qsv -i bbb_sunflower_1080p_30fps_normal_2000frames.h264 \
    - vf scale_qsv=w=1280:h=736:mode=hq -f null -
    fps=389
    RENDER usage : 28.10 (provided by MSDK metrics_monitor)

    Low Power mode : ffmpeg -hwaccel qsv -c:v h264_qsv -i /bbb_sunflower_1080p_30fps_normal_2000frames.h264 \
    - vf scale_qsv=w=1280:h=736:mode=low_power -f null -
    fps=343
    RENDER usage : 0.00

    Low power mode (SFC) may be disabled if not supported by
    MSDK/Driver/HW, and replaced by AVS mode interanlly.

    Signed-off-by : Zhong Li <zhong.li@intel.com>

    • [DH] libavfilter/vf_scale_qsv.c
  • Integrate FFmpeg on iOS [on hold]

    11 décembre 2018, par Caleb

    I have referred links, still I have confusion. If any one has an idea then please share with me.
I am searching to implement FFmpeg on iOS for GIF , as like the example given for android, 


    Please refer this =>
    https://medium.com/wolox-driving-innovation/https-medium-com-wolox-driving-innovation-the-power-of-ffmpeg-on-android-ef6e0c01d59f

    I have referred these links,

    https://github.com/DeviLeo/DLGPlayer

    https://github.com/ElfSundae/FFmpeg-iOS-build

    https://github.com/kewlbear/FFmpeg-iOS-build-script

    

what is the correct way to achieve this.
Any help would be highly appreciated.

  • Remove Static Pixels from a Video to Mimic a Green Screen Effect [closed]

    2 août 2021, par nKrkan

    I have a video that's 50 seconds in length, resolution of 480x480 and 16 frames per second.

    &#xA;

    There is a person talking in it, with the background being static I thought if there's a way
    &#xA;to remove those static pixels (background) and just extract the moving pixels (foreground)
    &#xA;and possibly mimic a green screen effect ?

    &#xA;

    I was thinking on writing a picture-by-picture comparison tool to do such thing but I don't
    &#xA;believe I'm up to the task, or maybe It's laziness.

    &#xA;

    And now I know, some of you will point out that the video has compression artifacts and that
    &#xA;might cause some problems but It doesn't have to be Studio quality stuff.

    &#xA;

    I tried the ffmpeg command from this question : Remove random background from video using ffmpeg or Python
    &#xA;And it does mask the person, but... I couldn't quite get it to work, apparently putting the
    &#xA;reference image in the input makes that image burned into the video, thus having no way to
    &#xA;remove it, but it did mask the background as black and the person as greenish, so still not a
    &#xA;viable way to do it.

    &#xA;

    Have also tried some Python projects I've found on the GitHub but none of them worked as
    &#xA;I expected.

    &#xA;

    So, what I thought to do is simply compare the first and the second frame of the video, check
    &#xA;all the pixels by comparing them with the two sources, and change those that stay within a
    &#xA;certain range of the initial pixel value.

    &#xA;

    I should point out I'm not very knowledgeable with mathematics and the majority of the
    &#xA;methods used in these type of things, but perhaps someone could point me to an interesting
    &#xA;source to read and learn, or by providing an alternative to the methods aforementioned above.

    &#xA;