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  • 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

  • Publier sur MédiaSpip

    13 juin 2013

    Puis-je poster des contenus à partir d’une tablette Ipad ?
    Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir

  • Les formats acceptés

    28 janvier 2010, par

    Les commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
    ffmpeg -codecs ffmpeg -formats
    Les format videos acceptés en entrée
    Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
    Les formats vidéos de sortie possibles
    Dans un premier temps on (...)

Sur d’autres sites (10968)

  • ffmpeg compilation problem : avcodec_find_decoder always returns null

    15 mars 2016, par Adion

    I recently tried to upgrade the ffmpeg libraries I use in my Mac OS X application by downloading and compiling ffmpeg from source.

    My code works correctly with pre-compiled libraries of the same version on windows.
    On Mac OS X, the library appears to work (it can open the file and find the streams and codecs used), but when it gets to avcodec_find_decoder, this function always returns null.

    The code has worked with an older version of the library (compiled a year ago on Mac OS X 10.5)

    I configured fmpeg using

    ./configure --extra-cflags="-arch i386" --extra-ldflags='-arch i386' --arch=x86_32 --target-os=darwin --enable-cross-compile --disable-indev=jack --enable-shared --disable-static

    I checked config.mak, and it appears to have the decoders for the file types I tried enabled (ogg, vorbis, avi, mkv, ...)
    I also checked that the correct header files have been used and that the newly compiled library is used.

    I have found only some older posts relating to this issue, but without any solution :

    http://lists.mplayerhq.hu/pipermail/ffmpeg-devel/2007-January/021399.html

    http://libav-users.943685.n4.nabble.com/avcodec-find-decoder-problem-td944800.html

    Edit : checking further, it appears av_codec_next(NULL) returns null as well, which means there isn’t a single codec available, or that first_avcodec in utils.c is not set (I actually haven’t found at all where this variable is set, I would have assumed av_register_all, but I can’t find it there)

  • aarch64 : vp9 : use alternative returns in the core loop filter function

    14 novembre 2016, par Janne Grunau
    aarch64 : vp9 : use alternative returns in the core loop filter function
    

    Since aarch64 has enough free general purpose registers use them to
    branch to the appropiate storage code. 1-2 cycles faster for the
    functions using loop_filter 8/16, ... on a cortex-a53. Mixed results
    (up to 2 cycles faster/slower) on a cortex-a57.

    • [DBH] libavcodec/aarch64/vp9lpf_neon.S
  • tf.contrib.signal.stft returns an empty matrix

    9 décembre 2017, par matt-pielat

    This is the piece of code I run :

    import tensorflow as tf

    sess = tf.InteractiveSession()

    filename = 'song.mp3' # 30 second mp3 file
    SAMPLES_PER_SEC = 44100

    audio_binary = tf.read_file(filename)

    pcm = tf.contrib.ffmpeg.decode_audio(audio_binary, file_format='mp3', samples_per_second=SAMPLES_PER_SEC, channel_count = 1)
    stft = tf.contrib.signal.stft(pcm, frame_length=1024, frame_step=512, fft_length=1024)

    sess.close()

    The mp3 file is properly decoded because print(pcm.eval().shape) returns :

    (1323119, 1)

    And there are even some actual non-zero values when I print them with print(pcm.eval()[1000:1010]) :

    [[ 0.18793298]
    [ 0.16214484]
    [ 0.16022217]
    [ 0.15918455]
    [ 0.16428113]
    [ 0.19858395]
    [ 0.22861415]
    [ 0.2347789 ]
    [ 0.22684409]
    [ 0.20728172]]

    But for some reason print(stft.eval().shape) evaluates to :

    (1323119, 0, 513) # why the zero dimension?

    And therefore print(stft.eval()) is :

    []

    According to this the second dimension of the tf.contrib.signal.stft output is equal to the number of frames. Why are there no frames though ?