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Autres articles (47)

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

  • 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 (...)

Sur d’autres sites (9753)

  • 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

    


    audio = ffmpeg.input("beat.mp3")

picture = ffmpeg.input("image.jpg")

ffmpeg.concat(picture, audio, v=1, a=1).output("video3.mp4").run()


    


  • 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.

  • Video play VLC player only in Android(Video Recording using FFmpeg)

    28 juillet 2017, par Astro

    I am trying to record video from url, its fine I can record video from my url but the problem is the recorded video only play VLC player, can’t play no other video players. I think it is the problem of video encoding. my url is http://192.168.1.1:8080/?action=stream . So I have getting mpeg encoded frames from this url. I used different ffmpeg command but these are not worked properly. These are the command I used.

    "ffmpeg -i "+URL+" -codec:v libx264 -c:a aac -movflags +faststart "+toFile;
    

    
"ffmepg -i "+URL+" -acodec libfaac -ab 96k -vcodec libx264 -vpre slower -vpre main -level 21 -refs 2 -b 345k -bt 345k -threads 0 -s 640×360 "+toFile;

    So anyone knows how to fix these problem please help me...

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