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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (39)
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Les tâches Cron régulières de la ferme
1er décembre 2010, parLa 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 (...) -
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
Encoding and processing into web-friendly formats
13 avril 2011, parMediaSPIP 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 (...)
Sur d’autres sites (8484)
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How to create a video from png images using ffmpeg
28 décembre 2011, par RajatI want to create a video from different png images. My code is :
ffmpeg -r 20 -f image2 -i slideshow/%d.png -y -s 320x240 -aspect 4:3 out.mp4
and i receive output :
FFmpeg version SVN-r26400, Copyright (c) 2000-2011 the FFmpeg developers
built on Sep 27 2011 00:47:07 with gcc 4.1.2 20080704 (Red Hat 4.1.2-50)
configuration: --enable-avfilter --enable-filter=fade
libavutil 50.36. 0 / 50.36. 0
libavcore 0.16. 1 / 0.16. 1
libavcodec 52.108. 0 / 52.108. 0
libavformat 52.93. 0 / 52.93. 0
libavdevice 52. 2. 3 / 52. 2. 3
libavfilter 1.74. 0 / 1.74. 0
libswscale 0.12. 0 / 0.12. 0
Input #0, image2, from 'slideshow/%d.png':
Duration: 00:00:00.25, start: 0.000000, bitrate: N/A
Stream #0.0: Video: png, rgb24, 720x471, 20 fps, 20 tbr, 20 tbn, 20 tbc
[buffer @ 0x9687230] w:720 h:471 pixfmt:rgb24
[scale @ 0x9687600] w:720 h:471 fmt:rgb24 -> w:320 h:240 fmt:yuv420p flags:0xa0000004
Output #0, mp4, to 'out.mp4':
Metadata:
encoder : Lavf52.93.0
Stream #0.0: Video: mpeg4, yuv420p, 320x240 [PAR 1:1 DAR 4:3], q=2-31, 200 kb/s, 20 tbn, 20 tbc
Stream mapping:
Stream #0.0 -> #0.0
Press [q] to stop encoding
Segmentation faultWhat might be the problem ? Please help...
Currently i am using centos 5 server. -
Recommendations for real-time pixel-level analysis of television (TV) video
6 décembre 2011, par Randall Cook[Note : This is a rewrite of an earlier question that was considered inappropriate and closed.]
I need to do some pixel-level analysis of television (TV) video. The exact nature of this analysis is not pertinent, but it basically involves looking at every pixel of every frame of TV video, starting from an MPEG-2 transport stream. The host platform will be server-class, multiprocessor 64-bit Linux machines.
I need a library that can handle the decoding of the transport stream and present me with the image data in real-time. OpenCV and ffmpeg are two libraries that I am considering for this work. OpenCV is appealing because I have heard it has easy to use APIs and rich image analysis support, but I have no experience using it. I have used ffmpeg in the past for extracting video frame data from files for analysis, but it lacks image analysis support (though Intel's IPP can supplement).
In addition to general recommendations for approaches to this problem (excluding the actual image analysis), I have some more specific questions that would help me get started :
- Are ffmpeg or OpenCV commonly used in industry as a foundation for real-time
video analysis, or is there something else I should be looking at ? - Can OpenCV decode video frames in real time, and still leave enough
CPU left over to do nontrivial image analysis, also in real-time ? - Is sufficient to use ffpmeg for MPEG-2 transport stream decoding, or
is it preferable to just use an MPEG-2 decoding library directly (and if so, which one) ? - Are there particular pixel formats for the output frames that ffmpeg
or OpenCV is particularly efficient at producing (like RGB, YUV, or YUV422, etc) ?
- Are ffmpeg or OpenCV commonly used in industry as a foundation for real-time
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iPAD Streaming video to a ffmpeg server. front facing camera
6 décembre 2011, par IrishGringoThis is a video chat type program.
My project is to write a native ObjC app that will stream video from the front facing camera to a server. This server will format and relay to be sent to another location.
In a related question, I want to display video streaming from the server. The video server will probably be running ffmpeg for formating.
But this question is just asking advice for the iPAD project. I wanted to get comments about issues I need to be thinking about.This is my strategy :
I was thinking of using AVFoundation framework to stream from the cam to a URL server. I don't know if I will be formatting on the client or no, so some comment there would be interesting. http://developer.apple.com/library/mac/#documentation/AVFoundation/Reference/AVFoundationFramework/_index.htmlFor streaming the video, I was going to be using :
http://developer.apple.com/library/IOs/#documentation/AVFoundation/Reference/AVCaptureSession_Class/Reference/Reference.html#//apple_ref/occ/cl/AVCaptureSessionso if someone has some ideas/suggestions... extra code I can look at. I would appreciate it.