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Autres articles (47)

  • HTML5 audio and video support

    13 avril 2011, par

    MediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
    The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
    For older browsers the Flowplayer flash fallback is used.
    MediaSPIP allows for media playback on major mobile platforms with the above (...)

  • Support audio et vidéo HTML5

    10 avril 2011

    MediaSPIP utilise les balises HTML5 video et audio pour la lecture de documents multimedia en profitant des dernières innovations du W3C supportées par les navigateurs modernes.
    Pour les navigateurs plus anciens, le lecteur flash Flowplayer est utilisé.
    Le lecteur HTML5 utilisé a été spécifiquement créé pour MediaSPIP : il est complètement modifiable graphiquement pour correspondre à un thème choisi.
    Ces technologies permettent de distribuer vidéo et son à la fois sur des ordinateurs conventionnels (...)

  • De l’upload à la vidéo finale [version standalone]

    31 janvier 2010, par

    Le chemin d’un document audio ou vidéo dans SPIPMotion est divisé en trois étapes distinctes.
    Upload et récupération d’informations de la vidéo source
    Dans un premier temps, il est nécessaire de créer un article SPIP et de lui joindre le document vidéo "source".
    Au moment où ce document est joint à l’article, deux actions supplémentaires au comportement normal sont exécutées : La récupération des informations techniques des flux audio et video du fichier ; La génération d’une vignette : extraction d’une (...)

Sur d’autres sites (9452)

  • How to create video editor to edit the video as fast as possible irrespective of size ? [closed]

    24 avril 2024, par Mayur

    we wanted to build a video editor where we wanted to give the option to add watermarks, change the bitrate, resize the video, add frames inside the video, etc. We are using NodeJS for the backend, I have tried to achieve the same thing with the help of ffmpeg package in NodeJS, but it is taking too much time to get the edited video. Is there any better approach that I can follow to get this done as quickly as possible ? The video size could be up to 1 GB.

    


    Server Configuration
4 CPU
8 GB RAM

    


  • Raspberry Pi Camera feedback freezes when moving NEMA 17 stepper motor with A4988 stepper motor driver [closed]

    31 août 2023, par Broteen Das

    I have a Raspberry Pi with a camera module and a NEMA 17 stepper motor connected to it. When I run the command ffplay /dev/video0, the video runs perfectly. However, whilst the video is running, and I run a script that moves the Stepper motor with the A4988 stepper motor driver, the video feed freezes and needs to be restarted.

    


    At first I thought it was ffmpeg's fault, so I tried viewing the feed with OpenCV, but the same probelem persisted.

    


    I also thought that the CPU prioritization was causing the problem, but this one time, the entire Raspberry Pi froze. The Keyboard, mouse, keys, numlock key, everything was dead (the Numlock light on my keyboard was on, I tried toggling the NumLock, but it did not go off) and so I had to turn off and turn on again the power supply to reboot the Pi.

    


    How do I get rid of this issue ?

    


  • NVidia driver libraries in nvidia/cuda image

    16 février 2018, par Islam Sabyrgaliyev

    I want to run ffmpeg with cuvid hw-accelerated decoding in the container based on official nvidia/cuda image. Ffmpeg is not able to find libnvcuvid.so, although there are all required cuda libs.
    The output of ldconfig -p | grep libnv from the container :

    libnvrtc.so (libc6,x86-64) => /usr/local/cuda-9.0/targets/x86_64-linux/lib/libnvrtc.so
    
libnvrtc-builtins.so (libc6,x86-64) => /usr/local/cuda-9.0/targets/x86_64-linux/lib/libnvrtc-builtins.so
    
libnvidia-ptxjitcompiler.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.1
    
libnvidia-opencl.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1
    
libnvidia-ml.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1
    
libnvidia-fatbinaryloader.so.390.12 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libnvidia-fatbinaryloader.so.390.12
    
libnvidia-compiler.so.390.12 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libnvidia-compiler.so.390.12
    
libnvidia-cfg.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libnvidia-cfg.so.1
    
libnvgraph.so (libc6,x86-64) => /usr/local/cuda-9.0/targets/x86_64-linux/lib/libnvgraph.so
    
libnvblas.so (libc6,x86-64) => /usr/local/cuda-9.0/targets/x86_64-linux/lib/libnvblas.so
    
libnvToolsExt.so (libc6,x86-64) => /usr/local/cuda-9.0/targets/x86_64-linux/lib/libnvToolsExt.so

    Should I just copy libnvcuvid.so from the host ? Wouldn’t it break if underlying driver version changes ?

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