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  • Mise à disposition des fichiers

    14 avril 2011, par

    Par défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
    Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
    Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...)

  • Script d’installation automatique de MediaSPIP

    25 avril 2011, par

    Afin de palier aux difficultés d’installation dues principalement aux dépendances logicielles coté serveur, un script d’installation "tout en un" en bash a été créé afin de faciliter cette étape sur un serveur doté d’une distribution Linux compatible.
    Vous devez bénéficier d’un accès SSH à votre serveur et d’un compte "root" afin de l’utiliser, ce qui permettra d’installer les dépendances. Contactez votre hébergeur si vous ne disposez pas de cela.
    La documentation de l’utilisation du script d’installation (...)

  • 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 (...)

Sur d’autres sites (12507)

  • 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
  • Making a ffmpeg screen capture on Mac OS X using YUV 4:2:0 Planar color model

    30 mai 2019, par Bass

    I make screen recordings with ffmpeg, using avfoundation on Mac OS X, x11grab on Linux and gdigrab on Windows.

    The resulting files should be compatible with modern web browsers (<video></video>), so I use H.264 codec and request YUV 4:2:0 Planar pixel format.

    On Mac OS X, however (unlike Linux and Windows), I receive the following logging :

    /usr/local/bin/ffmpeg -y -v error -f avfoundation -threads 0 -hide_banner -i 1:none -f mp4 -vcodec h264 -pix_fmt yuv420p -r 25/1 -qscale:v 1 -vf scale=-1:1080 target.mp4
    [avfoundation @ 0x7fdba2003a00] Selected pixel format (yuv420p) is not supported by the input device.
    [avfoundation @ 0x7fdba2003a00] Supported pixel formats:
    [avfoundation @ 0x7fdba2003a00]   uyvy422
    [avfoundation @ 0x7fdba2003a00]   yuyv422
    [avfoundation @ 0x7fdba2003a00]   nv12
    [avfoundation @ 0x7fdba2003a00]   0rgb
    [avfoundation @ 0x7fdba2003a00]   bgr0

    Still, according to mplayer, the resulting MP4 file seems to have YUV 4:2:0 Planar color model :

    [h264 @ 0x1048a8ac0]Format yuv420p chosen by get_format().
    [h264 @ 0x1048a8ac0]Reinit context to 1728x1088, pix_fmt: yuv420p
    [h264 @ 0x1048a8ac0]Format yuv420p chosen by get_format().
    [h264 @ 0x1048a8ac0]Reinit context to 1728x1088, pix_fmt: yuv420p
    [swscaler @ 0x1048c3cc0]bicubic scaler, from yuv420p to yuyv422 using MMXEXT
    *** [scale] Exporting mp_image_t, 1728x1080x12bpp YUV planar, 2799360 bytes
    *** [vo] Allocating mp_image_t, 1728x1080x16bpp YUV packed, 3732480 bytes

    the same confirmed by ffmpeg :

    $ ffmpeg -i target.mp4 -hide_banner
    Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'target.mp4':
     Metadata:
       major_brand     : isom
       minor_version   : 512
       compatible_brands: isomiso2avc1mp41
       encoder         : Lavf58.20.100
     Duration: 00:00:04.72, start: 0.000000, bitrate: 201 kb/s
       Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1728x1080, 197 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc (default)
       Metadata:
         handler_name    : VideoHandler

    Questions :

    1. Can someone explain the above ffmpeg logging ?
    2. If I still need to convert the avfoundation video stream to yuv420p, how do I make it on the fly (in a single ffmpeg pass) ?
  • libavfilter/dnn : remove limit for the name of DNN model input/output

    25 avril 2019, par Guo, Yejun
    libavfilter/dnn : remove limit for the name of DNN model input/output
    

    remove the requirment that the name of DNN model input/output
    should be "x"/"y",

    Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
    Signed-off-by : Pedro Arthur <bygrandao@gmail.com>

    • [DH] libavfilter/dnn_backend_native.c
    • [DH] libavfilter/dnn_backend_tf.c
    • [DH] libavfilter/dnn_interface.h
    • [DH] libavfilter/vf_sr.c