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Autres articles (58)
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Submit bugs and patches
13 avril 2011Unfortunately 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.
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Gestion des droits de création et d’édition des objets
8 février 2011, parPar défaut, beaucoup de fonctionnalités sont limitées aux administrateurs mais restent configurables indépendamment pour modifier leur statut minimal d’utilisation notamment : la rédaction de contenus sur le site modifiables dans la gestion des templates de formulaires ; l’ajout de notes aux articles ; l’ajout de légendes et d’annotations sur les images ;
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Dépôt de média et thèmes par FTP
31 mai 2013, parL’outil MédiaSPIP traite aussi les média transférés par la voie FTP. Si vous préférez déposer par cette voie, récupérez les identifiants d’accès vers votre site MédiaSPIP et utilisez votre client FTP favori.
Vous trouverez dès le départ les dossiers suivants dans votre espace FTP : config/ : dossier de configuration du site IMG/ : dossier des média déjà traités et en ligne sur le site local/ : répertoire cache du site web themes/ : les thèmes ou les feuilles de style personnalisées tmp/ : dossier de travail (...)
Sur d’autres sites (6590)
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tools/python : add script to convert TensorFlow model (.pb) to native model (.model)
13 juin 2019, par Guo, Yejuntools/python : add script to convert TensorFlow model (.pb) to native model (.model)
For example, given TensorFlow model file espcn.pb,
to generate native model file espcn.model, just run :
python convert.py espcn.pbIn current implementation, the native model file is generated for
specific dnn network with hard-code python scripts maintained out of ffmpeg.
For example, srcnn network used by vf_sr is generated with
https://github.com/HighVoltageRocknRoll/sr/blob/master/generate_header_and_model.py#L85In this patch, the script is designed as a general solution which
converts general TensorFlow model .pb file into .model file. The script
now has some tricky to be compatible with current implemention, will
be refined step by step.The script is also added into ffmpeg source tree. It is expected there
will be many more patches and community needs the ownership of it.Another technical direction is to do the conversion in c/c++ code within
ffmpeg source tree. While .pb file is organized with protocol buffers,
it is not easy to do such work with tiny c/c++ code, see more discussion
at http://ffmpeg.org/pipermail/ffmpeg-devel/2019-May/244496.html. So,
choose the python script.Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
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avformat : add fields to AVProgram/AVStream for PMT change tracking
18 mai 2018, par Aman Guptaavformat : add fields to AVProgram/AVStream for PMT change tracking
These fields will allow the mpegts demuxer to expose details about
the PMT/program which created the AVProgram and its AVStreams.In mpegts, a PMT which advertises streams has a version number
which can be incremented at any time. When the version changes,
the pids which correspond to each of it's streams can also change.Since ffmpeg creates a new AVStream per pid by default, an API user
needs the ability to (a) detect when the PMT changed, and (b) tell
which AVStream were added to replace earlier streams.This has been a long-standing issue with ffmpeg's handling of mpegts
streams with PMT changes, and I found two related patches in the wild
that attempt to solve the same problem :The first is in MythTV's ffmpeg fork, where they added a
void (*streams_changed)(void*) ; to AVFormatContext and call it from
their fork of the mpegts demuxer whenever the PMT changes.The second was proposed by XBMC in
https://ffmpeg.org/pipermail/ffmpeg-devel/2012-December/135036.html,
where they created a new AVMEDIA_TYPE_DATA stream with id=0 and
attempted to send packets to it whenever the PMT changed.Signed-off-by : Aman Gupta <aman@tmm1.net>
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Enabling libmp3lame for FFMPEG on elastic beanstalk
13 octobre 2017, par Adam SithI am trying to enable libmp3lame with FFMPEG in elastic beanstalk (Amazon Redhat Linux machine).
I am able to successfully install FFMPEG in
/ffmpeg.config
with the following script :# .ebextensions/ffmpeg.config
packages:
yum:
autoconf: []
automake: []
cmake: []
freetype-devel: []
gcc: []
gcc-c++: []
git: []
libtool: []
make: []
nasm: []
pkgconfig: []
zlib-devel: []
sources:
/usr/local/src: http://ffmpeg.org/releases/ffmpeg-3.2.tar.bz2
commands:
ffmpeg_install:
cwd: /usr/local/src/ffmpeg-3.2
command: sudo ./configure --prefix=/usr && make && make installI need to install libmp3lame however. I’ve tried to do this with an
--enable-libmp3lame
flag and the directions here. The modified script :packages:
yum:
autoconf: []
automake: []
cmake: []
freetype-devel: []
gcc: []
gcc-c++: []
git: []
libtool: []
make: []
nasm: []
pkgconfig: []
zlib-devel: []
sources:
/usr/local/src: http://ffmpeg.org/releases/ffmpeg-3.2.tar.bz2
commands:
01-install_libmp3lame:
cwd: /usr/local/src/
command: curl -L -O http://downloads.sourceforge.net/project/lame/lame/3.99/lame-3.99.5.tar.gz && tar xzvf lame-3.99.5.tar.gz && cd lame-3.99.5 && ./configure --prefix="$HOME/ffmpeg_build" --bindir="$HOME/bin" --disable-shared --enable-nasm && make && make install
02-ffmpeg_install:
cwd: /usr/local/src/ffmpeg-3.2
command: sudo ./configure --enable-libmp3lame && --prefix=/usr && make && make installThis doesn’t work. Command
01-install_libmp3lame
completes. Command 02-ffmpeg_install fails because :[2017-10-12T20:55:19.324Z] INFO [24606] - [Application update app-8fe3-123456_7895@111/AppDeployStage0/EbExtensionPreBuild/Infra-EmbeddedPreBuild/prebuild_3_clover_platform/Command 02-ffmpeg_install] : Activity execution failed, because: ERROR: libmp3lame >= 3.98.3 not found
I have tried installing libmp3lame in /ffmpeg-3.2 and got the same issue.