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  • 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 (...)

  • Encoding and processing into web-friendly formats

    13 avril 2011, par

    MediaSPIP automatically converts uploaded files to internet-compatible formats.
    Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
    Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
    Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
    All uploaded files are stored online in their original format, so you can (...)

  • List of compatible distributions

    26 avril 2011, par

    The table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
    If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...)

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  • Why the stereo mp3 file lost a channel when converted from mp4 with ffmpeg ?

    11 novembre 2020, par Vivi

    I am following this tutorial https://hackernoon.com/audio-handling-basics-how-to-process-audio-files-using-python-cli-jo283u3y, and when I extract the data from the mp3 file, it is only an one dimensional array, while the data from wav file is 2D. I converted them from the same mp4 file with ffmpeg.

    


    # read WAV file using scipy.io.wavfile
fs_wav, data_wav = wavfile.read("data/music_8k.wav")

# read MP3 file using pydub
audiofile = AudioSegment.from_file("data/music_8k.mp3")
data_mp3 = np.array(audiofile.get_array_of_samples())
fs_mp3 = audiofile.frame_rate

print(data_wav.shape) #(9835520, 2)
print(fs_wav) #44100
print(data_mp3.shape) #(19671040,)
print(fs_mp3) #44100


    


    When I check the info of the mp3 file it says Stereo, but does the fact that data_mp3 is only one dimensional array mean it is actually mono ? Did it lose one channel during converting ? And how should I reshape the data if I want to confirm these two files have identical signal ?

    


  • doc/ffmpeg : do not show examples making use of the deprecated glob_sequence pattern...

    7 août 2012, par Stefano Sabatini

    doc/ffmpeg : do not show examples making use of the deprecated glob_sequence pattern...

  • how much time ffmpeg take on an average of making video 15 sec

    24 mars 2016, par sumit saini

    I am doing coding in ffmpeg in android for making a () video using ffmpeg. In which I am take one background image + one tom +.wav then try to make video like talking tom but problem is that it take lot of time in 15 sec video = 1 minute. please tell how to minimise time.

    my code is below

    commandText = "-loop 1 -r "+frameRate+" -i /sdcard/emoj/bg.png -r "
    
                    + frameRate
    
+ " -f concat -i /sdcard/emoj/images.txt -i /sdcard/emoj/final.wav -filter_complex [1:v]scale="+mitiWidth+":"+mitiHeight+"[ovrl];[0:v][ovrl]overlay=(main_w-overlay_w)/2:(main_h-overlay_h) -s "+deviceWidth +"x"+deviceHeight+" -preset ultrafast -codec:v libx264 -c:a aac -pix_fmt yuv420p -strict experimental -b:a 32k -t 00:00:"+ time +" /sdcard/emoj/myPetVideo.mp4";

    image.txt is tom images .

    please tell me if any buddy know or tell which library is used in talking tom.

    Thanks

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