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Autres articles (58)
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Personnaliser les catégories
21 juin 2013, parFormulaire de création d’une catégorie
Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
On peut modifier ce formulaire dans la partie :
Administration > Configuration des masques de formulaire.
Dans le cas d’un document de type média, les champs non affichés par défaut sont : Descriptif rapide
Par ailleurs, c’est dans cette partie configuration qu’on peut indiquer le (...) -
Publier sur MédiaSpip
13 juin 2013Puis-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 -
List of compatible distributions
26 avril 2011, parThe 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 (...)
Sur d’autres sites (8392)
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ffmpeg compilation problem : avcodec_find_decoder always returns null
15 mars 2016, par AdionI 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)
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aarch64 : vp9 : use alternative returns in the core loop filter function
14 novembre 2016, par Janne Grunauaarch64 : 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. -
tf.contrib.signal.stft returns an empty matrix
9 décembre 2017, par matt-pielatThis 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 ?