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  • Configurer la prise en compte des langues

    15 novembre 2010, par

    Accéder à la configuration et ajouter des langues prises en compte
    Afin de configurer la prise en compte de nouvelles langues, il est nécessaire de se rendre dans la partie "Administrer" du site.
    De là, dans le menu de navigation, vous pouvez accéder à une partie "Gestion des langues" permettant d’activer la prise en compte de nouvelles langues.
    Chaque nouvelle langue ajoutée reste désactivable tant qu’aucun objet n’est créé dans cette langue. Dans ce cas, elle devient grisée dans la configuration et (...)

  • Demande de création d’un canal

    12 mars 2010, par

    En fonction de la configuration de la plateforme, l’utilisateur peu avoir à sa disposition deux méthodes différentes de demande de création de canal. La première est au moment de son inscription, la seconde, après son inscription en remplissant un formulaire de demande.
    Les deux manières demandent les mêmes choses fonctionnent à peu près de la même manière, le futur utilisateur doit remplir une série de champ de formulaire permettant tout d’abord aux administrateurs d’avoir des informations quant à (...)

  • La file d’attente de SPIPmotion

    28 novembre 2010, par

    Une file d’attente stockée dans la base de donnée
    Lors de son installation, SPIPmotion crée une nouvelle table dans la base de donnée intitulée spip_spipmotion_attentes.
    Cette nouvelle table est constituée des champs suivants : id_spipmotion_attente, l’identifiant numérique unique de la tâche à traiter ; id_document, l’identifiant numérique du document original à encoder ; id_objet l’identifiant unique de l’objet auquel le document encodé devra être attaché automatiquement ; objet, le type d’objet auquel (...)

Sur d’autres sites (6456)

  • Today we celebrate Data Privacy Day 2019

    28 janvier 2019, par Jake Thornton — Privacy

    Today we celebrate Data Privacy Day 2019 !!!

    What is Data Privacy Day ?

    Wikipedia tells us that : The purpose of Data Privacy Day is to raise awareness and promote privacy and data protection best practices.

    Our personal data is our online identity. When you think what personal data means – our phone records, credit card transactions, GPS position, IP addresses, browsing history and so much more. All so valuable and personal to us as human beings.

    That’s why we cannot take our personal data online for granted. We have a right to know which websites collect our data and how it’s then used, something that’s often not visible or easily recognisable when browsing.

    What Data Privacy Day means to Matomo

    Every year the team at Matomo uses this day as a chance to reflect on how far the Matomo (formerly Piwik) project has come. But then also reflect how far we still have to go in spreading the message that our data and personal information online matters.

    2018 saw the introduction of the EU General Data Protection Regulation (GDPR) to protect people’s data online. As a team, Matomo was at the forefront of this development in the analytics space and have since built a GDPR Manager to ensure our users can be fully compliant with the GDPR.

    With every new release of Matomo, we are ensuring that security continues to be at the highest standard and we will continue to be committed to our bug bounty program. Our most recent release of Matomo 3.8.0 alone added a Two Factor Authentication (2FA) feature and a password brute force prevention.

    What next for Matomo and data privacy ?

    As always, security is a top priority for every new release of Matomo and continues to only get better and better. We have a duty to spread our message further that the protection of personal data matters and today is a vital reminder of that. We are, and forever will be, the #1 open-source (and free to use) web analytics platform in the world that fully respects user privacy and gives our users 100% data ownership.

    In 2018 we changed our name, we updated our logo and website, and advanced our platform to compete with the most powerful web analytics tools in the world, all so we can spread our message further and continue our mission.

    Come with us on this exciting journey. Now is the time to take back control of your data and let’s continue creating a safer web for everyone.

    Please help us spread this message.

  • Play a video with ffmpeg and SDL2 on a Raspberry Pi 5

    18 février 2024, par aforino

    I want to create a python script that decodes a h264 1080p video and outputs it via SDL2 on a Raspberry Pi 5. The Raspberry Pi 5 is able to play a h264 1080p video without problem using VLC. Total CPU load with VLC is about 10%. However decoding with ffmpeg and outputting via SDL2 uses around 70% CPU load. Since I want to be able to switch seamlessly between two output videos I will need to decode two videos at the same time. Therefore 70% CPU load for one transcoded 1080p video is not acceptable. How can I make the code more efficient and why is VLC so much more efficient ?

    


    This is my current python script :

    


    import numpy as np
import ffmpeg  # ffmpeg-python
import sdl2.ext

in_file = ffmpeg.input('bbb1080_x264.mp4', re=None)

width = 1920
height = 1080

process1 = (
    in_file
    .output('pipe:', format='rawvideo', pix_fmt='bgra')
    .run_async(pipe_stdout=True)
)

sdl2.ext.init()
window = sdl2.ext.Window("Hello World!", size=(width, height))
window.show()
windowsurface = sdl2.SDL_GetWindowSurface(window.window)
windowArray = sdl2.ext.pixels3d(windowsurface.contents)

sdl2.ext.mouse.hide_cursor()

while True:
    in_bytes = process1.stdout.read(width * height * 4)

    if not in_bytes:
        break

    in_frame = (
        np
        .frombuffer(in_bytes, np.uint8)
        .reshape([height, width, 4])
        .transpose(1, 0, 2)
    )

    for event in sdl2.ext.get_events():
        if event.type == sdl2.SDL_QUIT:
            exit()

    windowArray[:] = in_frame
    window.refresh()

process1.wait()


    


    Also it is interesting to note that when I start VLC on a Raspberry Pi 5 this is the output on the terminal

    


    [00007fff78c1a550] avcodec decoder error: cannot start codec (h264_v4l2m2m)
Fontconfig warning: ignoring UTF-8: not a valid region tag
[00007fff68002d70] gles2 generic error: parent window not available
[00007fff68002d70] xcb generic error: window not available
[00007fff680013f0] mmal_xsplitter vout display: Try drm
[00007fff68002d70] drm_vout generic: <<< OpenDrmVout: Fmt=I420
[00007fff68002d70] drm_vout generic error: Failed to get xlease`


    


    It indicates that VLC is not using the h264_v4l2m2m hardware acceleration.

    


  • Opencv Videocapture fails to read https url videos

    23 novembre 2020, par Purav Zumkhawala

    I want to read HTTPS URL videos in my Ubuntu system without downloading them. I can do this in windows OS but when I try to run the same code in Ubuntu using the same opencv VideoCapture method it fails to get any frames.

    



    Why is this so ?

    



    I have used same opencv version in both Ubuntu and Windows, can anyone guide me towards a workaround, a tutorial using which I can compile opencv and stream url videos or any other library that supports this functionality in Ubuntu ?

    



    I have tried almost everything but with no productive result which has led me to finally ask this as a question.

    



    opencv build information :

  OpenCV modules:
    To be built:                 calib3d core dnn features2d flann gapi highgui imgcodecs imgproc java_bindings_generator ml objdetect photo python3 python_bindings_generator stitching video videoio
    Disabled:                    world
    Disabled by dependency:      -
    Unavailable:                 java js python2 ts
    Applications:                -
    Documentation:               NO
    Non-free algorithms:         NO

  GUI: 
    QT:                          YES (ver 4.8.7 EDITION = OpenSource)
      QT OpenGL support:         NO
    GTK+:                        NO
    VTK support:                 NO

  Media I/O: 
    ZLib:                        /lib64/libz.so (ver 1.2.3)
    JPEG:                        /opt/libjpeg-turbo/lib64/libjpeg.a (ver 62)
    WEBP:                        build (ver encoder: 0x020e)
    PNG:                         build (ver 1.6.35)
    TIFF:                        build (ver 42 - 4.0.9)
    JPEG 2000:                   build (ver 1.900.1)
    OpenEXR:                     build (ver 1.7.1)
    HDR:                         YES
    SUNRASTER:                   YES
    PXM:                         YES
    PFM:                         YES

  Video I/O:
    DC1394:                      NO
    FFMPEG:                      YES
      avcodec:                   YES (ver 58.21.104)
      avformat:                  YES (ver 58.17.101)
      avutil:                    YES (ver 56.18.102)
      swscale:                   YES (ver 5.2.100)
      avresample:                NO
    GStreamer:                   NO
    v4l/v4l2:                    linux/videodev2.h

  Parallel framework:            pthreads

  Trace:                         YES (with Intel ITT)

  Other third-party libraries:
    Lapack:                      NO
    Eigen:                       NO
    Custom HAL:                  NO
    Protobuf:                    build (3.5.1)

  OpenCL:                        YES (no extra features)
    Include path:                /io/opencv/3rdparty/include/opencl/1.2
    Link libraries:              Dynamic load

  Python 3:
    Interpreter:                 /opt/python/cp36-cp36m/bin/python (ver 3.6.5)
    Libraries:                   libpython3.6m.a (ver 3.6.5)
    numpy:                       /opt/python/cp36-cp36m/lib/python3.6/site-packages/numpy/core/include (ver 1.11.3)
    packages path:               lib/python3.6/site-packages

  Python (for build):            /opt/python/cp36-cp36m/bin/python

  Java:                          
    ant:                         NO
    JNI:                         NO
    Java wrappers:               NO
    Java tests:                  NO

  Install to:                    /io/_skbuild/linux-x86_64-3.6/cmake-install


    


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