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Richard Stallman et le logiciel libre
19 octobre 2011, par
Mis à jour : Mai 2013
Langue : français
Type : Texte
Autres articles (112)
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Mise à disposition des fichiers
14 avril 2011, parPar défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...) -
Script d’installation automatique de MediaSPIP
25 avril 2011, parAfin de palier aux difficultés d’installation dues principalement aux dépendances logicielles coté serveur, un script d’installation "tout en un" en bash a été créé afin de faciliter cette étape sur un serveur doté d’une distribution Linux compatible.
Vous devez bénéficier d’un accès SSH à votre serveur et d’un compte "root" afin de l’utiliser, ce qui permettra d’installer les dépendances. Contactez votre hébergeur si vous ne disposez pas de cela.
La documentation de l’utilisation du script d’installation (...) -
MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)
Sur d’autres sites (12507)
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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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Making a ffmpeg screen capture on Mac OS X using YUV 4:2:0 Planar color model
30 mai 2019, par BassI make screen recordings with
ffmpeg
, usingavfoundation
on Mac OS X,x11grab
on Linux andgdigrab
on Windows.The resulting files should be compatible with modern web browsers (
<video></video>
), so I use H.264 codec and request YUV 4:2:0 Planar pixel format.On Mac OS X, however (unlike Linux and Windows), I receive the following logging :
/usr/local/bin/ffmpeg -y -v error -f avfoundation -threads 0 -hide_banner -i 1:none -f mp4 -vcodec h264 -pix_fmt yuv420p -r 25/1 -qscale:v 1 -vf scale=-1:1080 target.mp4
[avfoundation @ 0x7fdba2003a00] Selected pixel format (yuv420p) is not supported by the input device.
[avfoundation @ 0x7fdba2003a00] Supported pixel formats:
[avfoundation @ 0x7fdba2003a00] uyvy422
[avfoundation @ 0x7fdba2003a00] yuyv422
[avfoundation @ 0x7fdba2003a00] nv12
[avfoundation @ 0x7fdba2003a00] 0rgb
[avfoundation @ 0x7fdba2003a00] bgr0Still, according to
mplayer
, the resulting MP4 file seems to have YUV 4:2:0 Planar color model :[h264 @ 0x1048a8ac0]Format yuv420p chosen by get_format().
[h264 @ 0x1048a8ac0]Reinit context to 1728x1088, pix_fmt: yuv420p
[h264 @ 0x1048a8ac0]Format yuv420p chosen by get_format().
[h264 @ 0x1048a8ac0]Reinit context to 1728x1088, pix_fmt: yuv420p
[swscaler @ 0x1048c3cc0]bicubic scaler, from yuv420p to yuyv422 using MMXEXT
*** [scale] Exporting mp_image_t, 1728x1080x12bpp YUV planar, 2799360 bytes
*** [vo] Allocating mp_image_t, 1728x1080x16bpp YUV packed, 3732480 bytesthe same confirmed by
ffmpeg
:$ ffmpeg -i target.mp4 -hide_banner
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'target.mp4':
Metadata:
major_brand : isom
minor_version : 512
compatible_brands: isomiso2avc1mp41
encoder : Lavf58.20.100
Duration: 00:00:04.72, start: 0.000000, bitrate: 201 kb/s
Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1728x1080, 197 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc (default)
Metadata:
handler_name : VideoHandlerQuestions :
- Can someone explain the above
ffmpeg
logging ? - If I still need to convert the
avfoundation
video stream toyuv420p
, how do I make it on the fly (in a singleffmpeg
pass) ?
- Can someone explain the above
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libavfilter/dnn : remove limit for the name of DNN model input/output
25 avril 2019, par Guo, Yejunlibavfilter/dnn : remove limit for the name of DNN model input/output
remove the requirment that the name of DNN model input/output
should be "x"/"y",Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
Signed-off-by : Pedro Arthur <bygrandao@gmail.com>