Recherche avancée

Médias (0)

Mot : - Tags -/page unique

Aucun média correspondant à vos critères n’est disponible sur le site.

Autres articles (100)

  • Les tâches Cron régulières de la ferme

    1er décembre 2010, par

    La gestion de la ferme passe par l’exécution à intervalle régulier de plusieurs tâches répétitives dites Cron.
    Le super Cron (gestion_mutu_super_cron)
    Cette tâche, planifiée chaque minute, a pour simple effet d’appeler le Cron de l’ensemble des instances de la mutualisation régulièrement. Couplée avec un Cron système sur le site central de la mutualisation, cela permet de simplement générer des visites régulières sur les différents sites et éviter que les tâches des sites peu visités soient trop (...)

  • 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 (...)

  • 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 (...)

Sur d’autres sites (10135)

  • Save live video stream to a video file

    29 juin 2023, par VISHAL DAGA

    Trying to save live streaming video data into a (any) playable video file.
When I log the data I see the following (Put in comment in below code) :-

    


    axios.get(`http://192.168.1.33`, {&#xA;  responseType: &#x27;stream&#x27;,&#xA;}).then((response)=>{&#xA;  const stream = response.data&#xA;  stream.on(&#x27;data&#x27;, data => {&#xA;    console.log(data);  // <buffer 4c="4c" 28="28" a1="a1" 0c="0c" 0d="0d" 14="14" 0e="0e" e1="e1" 8e="8e" eb="eb" 52="52" 48="48" d0="d0" c0="c0" 4a="4a" 68="68" 7b="7b" 0b="0b" c7="c7" 7c="7c" d2="d2" 55="55" 21="21" 0a="0a" a9="a9" 63="63" 12="12" 96="96" 9b="9b" 00="00" ed="ed" 49="49" 42="42" 1a="1a" 16="16" a4="a4" 1e="1e" 94="94" 50="50" 20="20" a3="a3" d8="d8" d5="d5" 1386="1386" more="more" bytes="bytes">&#xA;                       // <buffer 0d="0d" cb="cb" 4b="4b" f7="f7" 77="77" 36="36" c8="c8" 42="42" 9d="9d" bb="bb" b3="b3" d6="d6" a3="a3" 72="72" 24="24" ff="ff" 00="00" 9e="9e" 29="29" b8="b8" 35="35" a5="a5" 48="48" ad="ad" e2="e2" 11="11" a9="a9" ec="ec" 38="38" 1d="1d" e1="e1" 91="91" 93="93" 73="73" bf="bf" a6="a6" 96="96" 62="62" 26="26" 57="57" f4="f4" a4="a4" 4258="4258" more="more" bytes="bytes">&#xA;                      // ....&#xA;</buffer></buffer>

    &#xA;

    How can I save this data into a video file which can be played ? I am starting to read from live stream at a certain point in time and reading it for few seconds - ex. 5 seconds. I need to have a video of that 5 seconds.

    &#xA;

    Note, when I use the url : http://192.168.1.33, I can see the video on the browser.

    &#xA;

  • Concat video output does not skip ahead or go backwards like normal video

    6 août 2020, par JOHN DADS

    i ran this basic concat code to combine an image and audio to output an mp4 video but the output video plays perfectly except for the fact that if I want to skip ahead in the video it goes back to the original position. This was run on python

    &#xA;

    audio = ffmpeg.input("beat.mp3")&#xA;&#xA;picture = ffmpeg.input("image.jpg")&#xA;&#xA;ffmpeg.concat(picture, audio, v=1, a=1).output("video3.mp4").run()&#xA;

    &#xA;

  • tensorflow 2, tfds.features.Video Usage for video decoding

    5 mars 2020, par Sandeep

    I am trying to decode a video in tensorflow 2 using tfds.features.Video , so that the output is a "tf.Tensor of type tf.uint8 and shape [num_frames, height, width, channels]" using following code :

    import numpy as np
    import pandas as pd
    import tensorflow as tf
    import tensorflow_datasets as tfds

    df_trains= pd.DataFrame()
    df_trains[’video_files’]= [’aa.mp4’]

    files_ds = tf.data.Dataset.from_tensor_slices(df_trains.video_files)
    video_class = tfds.features.Video(shape=(None, 1080, 1920,3), encoding_format=’png’, ffmpeg_extra_args=())
    a= video_class.decode_example(files_ds)

    However it generates following error :
    "AssertionError : Feature Video can only be decoded when defined as top-level feature, through info.features.decode_example()"

    I am unable to solve it, please help in this regard.

Navigation