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Médias (1)
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1 000 000 (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
Autres articles (54)
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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 -
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 (...) -
Emballe Médias : Mettre en ligne simplement des documents
29 octobre 2010, parLe plugin emballe médias a été développé principalement pour la distribution mediaSPIP mais est également utilisé dans d’autres projets proches comme géodiversité par exemple. Plugins nécessaires et compatibles
Pour fonctionner ce plugin nécessite que d’autres plugins soient installés : CFG Saisies SPIP Bonux Diogène swfupload jqueryui
D’autres plugins peuvent être utilisés en complément afin d’améliorer ses capacités : Ancres douces Légendes photo_infos spipmotion (...)
Sur d’autres sites (9247)
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Trying to capture display output for real-time analysis with OpenCV ; I need help with interfacing with the OS for input
26 juillet 2024, par mirariI want to apply operations from the OpenCV computer vision library, in real time, to video captured from my computer display.
The idea in this particular case is to detect interesting features during gameplay in a popular game and provide the user with an enhanced experience ; but I could think of several other scenarios where one would want to have live access to this data as well. 
At any rate, for the development phase it might be acceptable using canned video, but for the final application performance and responsiveness are obviously critical.



I am trying to do this on Ubuntu 10.10 as of now, and would prefer to use a UNIX-like system, but any options are of interest.
My C skills are very limited, so whenever talking to OpenCV through Python is possible, I try to use that instead.
Please note that I am trying to capture NOT from a camera device, but from a live stream of display output ; and I'm at a loss as to how to take the input. As far as I can tell, CaptureFromCAM works only for camera devices, and it seems to me that the requirement for real-time performance in the end result makes storage in file and reading back through CaptureFromFile a bad option.



The most promising route I have found so far seems to be using ffmpeg with the x11grab option to capture from an X11 display ;
(e.g. the command
ffmpeg -f x11grab -sameq -r 25 -s wxga -i :0.0 out.mpg
captures 1366x768 of display 0 to 'out.mpg').
I imagine it should be possible to treat the output stream from ffmpeg as a file to be read by OpenCV (presumably by using the CaptureFromFile function) maybe by using pipes ; but this is all on a much higher level than I have ever dealt with before and I could really use some directions. 
Do you think this approach is feasible ? And more importantly can you think of a better one ? How would you do it ?


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Emphasis level map with ffmpeg using NVENC
2 novembre 2020, par ofer rubinsteinI am trying to have different compression levels, to different regions in the video.
ffmpeg has something called "addroi", but it's just a recommendation and doesn't guarantee the absolute level of compression.
Nvidia NVENC has something called Emphasis Level Map, I am hoping this will be able to achieve an accurate level of compression per region.


I am unable to find how to do this via ffmpeg executable, so I am starting to try to do this using the ffmpeg SDK.
Do you have any idea how to do this via the ffmpeg.exe, instead of using the SDK ?


Here is what I am talking about in the NVIDIA documentation :




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How to get progress percentage of flutter ffmpeg execution
11 août 2021, par Sharik ansariI want to get percentage of ffmpeg execution in flutter


I have some code example but I don't know to do this


ANDROID EXAMPLE :


int start = message.indexOf("time=");
 int end = message.indexOf(" bitrate");
 if (start != -1 && end != -1) {
 String duration = message.substring(start + 5, end);
 if (duration != "") {
 try {
 SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS");
 sdf.setTimeZone(TimeZone.getTimeZone("UTC"));
 dialog.setProgress((int)sdf.parse("1970-01-01 " + duration).getTime()); 
 }catch (ParseException e)
 {
 e.printStackTrace();
 }
 }
}



FLUTTER CODE :


void statisticsCallback(Statistics statistics) {
print("Statistics: executionId: ${statistics.executionId}, time: ${statistics.time}, size: ${statistics.size}, bitrate: ${statistics.bitrate}, speed: ${statistics.speed}, videoFrameNumber: ${statistics.videoFrameNumber}, videoQuality: ${statistics.videoQuality}, videoFps: ${statistics.videoFps}");
 }



how can I generate progress of execution from statisticsCallback method ?


Please help me out