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Autres articles (60)

  • 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 (...)

  • 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 (...)

  • Submit bugs and patches

    13 avril 2011

    Unfortunately a software is never perfect.
    If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
    If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
    You may also (...)

Sur d’autres sites (3656)

  • Overlay streaming video on another video with ffmpeg

    9 août 2017, par user3354787

    I am running a robot that uses fmpeg to send straming video to letsrobot.tv You can see my bot on the website called patton II. I want to overlay a video HUD on the stream.

    I have found a link explaining how to do this, however I do not know how to do it with a streaming video as input instead of a single image file.

    This is the command that is currently being used to stream the video :

    overlayCommand = '-vf dynoverlay=overlayfile=/home/pi/runmyrobot/images/hud.png:check_interval=500'
    
videoCommandLine = '/usr/local/bin/ffmpeg -f v4l2 -framerate 25 -video_size 640x480 -i /dev/video%s %s -f mpegts -codec:v mpeg1video -s 640x480 -b:v %dk -bf 0 -muxdelay 0.001 %s http://%s:%s/hello/640/480/' % (deviceAnswer, rotationOption, args.kbps, overlayCommand, server, videoPort)
    
audioCommandLine = '/usr/local/bin/ffmpeg -f alsa -ar 44100 -i hw:1 -ac 2 -f mpegts -codec:a mp2 -b:a 32k -muxdelay 0.001 http://%s:%s/hello/640/480/' % (server, audioPort)

  • 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...

  • 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.

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