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Somos millones 1
21 juillet 2014, par
Mis à jour : Juin 2015
Langue : français
Type : Video
Autres articles (64)
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MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
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 (...) -
Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
Sur d’autres sites (10511)
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Announcing our latest open source project : DeviceDetector
This blog post is an announcement for our latest open source project release : DeviceDetector ! The Universal Device Detection library will parse any User Agent and detect the browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc.), brand and model.
Read on to learn more about this exciting release.
Why did we create DeviceDetector ?
Our previous library UserAgentParser only had the possibility to detect operating systems and browsers. But as more and more traffic is coming from mobile devices like smartphones and tablets it is getting more and more important to know which devices are used by the websites visitors.
To ensure that the device detection within Piwik will gain the required attention, so it will be as accurate as possible, we decided to move that part of Piwik into a separate project, that we will maintain separately. As an own project we hope the DeviceDetector will gain a better visibility as well as a better support by and for the community !
DeviceDetector is hosted on GitHub at piwik/device-detector. It is also available as composer package through Packagist.
How DeviceDetector works
Every client requesting data from a webserver identifies itself by sending a so-called User-Agent within the request to the server. Those User Agents might contain several information such as :
- client name and version (clients can be browsers or other software like feed readers, media players, apps,…)
- operating system name and version
- device identifier, which can be used to detect the brand and model.
For Example :
Mozilla/5.0 (Linux; Android 4.4.2; Nexus 5 Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.99 Mobile Safari/537.36
This User Agent contains following information :
Operating system is
Android 4.4.2
, client uses the browserChrome Mobile 32.0.1700.99
and the device is a GoogleNexus 5
smartphone.What DeviceDetector currently detects
DeviceDetector is able to detect bots, like search engines, feed fetchers, site monitors and so on, five different client types, including around 100 browsers, 15 feed readers, some media players, personal information managers (like mail clients) and mobile apps using the AFNetworking framework, around 80 operating systems and nine different device types (smartphones, tablets, feature phones, consoles, tvs, car browsers, cameras, smart displays and desktop devices) from over 180 brands.
Note : Piwik itself currently does not use the full feature set of DeviceDetector. Client detection is currently not implemented in Piwik (only detected browsers are reported, other clients are marked as Unknown). Client detection will be implemented into Piwik in the future, follow #5413 to stay updated.
Performance of DeviceDetector
Our detections are currently handled by an enormous number of regexes, that are defined in several .YML Files. As parsing these .YML files is a bit slow, DeviceDetector is able to cache the parsed .YML Files. By default DeviceDetector uses a static cache, which means that everything is cached in static variables. As that only improves speed for many detections within one process, there are also adapters to cache in files or memcache for speeding up detections across requests.
How can users help contribute to DeviceDetector ?
Submit your devices that are not detected yet
If you own a device, that is currently not correctly detected by the DeviceDetector, please create a issue on GitHub
In order to check if your device is detected correctly by the DeviceDetector go to your Piwik server, click on ‘Settings’ link, then click on ‘Device Detection’ under the Diagnostic menu. If the data does not match, please copy the displayed User Agent and use that and your device data to create a ticket.Submit a list of your User Agents
In order to create new detections or improve the existing ones, it is necessary for us to have lists of User Agents. If you have a website used by mostly non desktop devices it would be useful if you send a list of the User Agents that visited your website. To do so you need access to your access logs. The following command will extract the User Agents :
zcat ~/path/to/access/logs* | awk -F'"' '{print $6}' | sort | uniq -c | sort -rn | head -n20000 > /home/piwik/top-user-agents.txt
If you want to help us with those data, please get in touch at devicedetector@piwik.org
Submit improvements on GitHub
As DeviceDetector is free/libre library, we invite you to help us improving the detections as well as the code. Please feel free to create tickets and pull requests on Github.
What’s the next big thing for DeviceDetector ?
Please check out the list of issues in device-detector issue tracker.
We hope the community will answer our call for help. Together, we can build DeviceDetector as the most powerful device detection library !
Happy Device Detection,
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How can I capture RTSP stream with FFMPEG continously and later decode a video
17 avril 2020, par İsmetI have got a rtsp stream from camera. I don't want rtsp to mp4 file convert because that give a file like 10minute video,1 hour video. But I wanna search a specific date in stream (e.g 17.04.2020 15.00.00-16.15.00). So it have integrity data.






Summary : how can I storage this rtsp stream and convert a video type (mp4,avi) with specific time part of data when I want it ?



Note : Sorry for my weak Englis, I hope image tells what I want.


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Remux video file and get the output bytes on the fly
22 septembre 2014, par Miguel BotónI have been looking for a solution too many hours and maybe I didn’t use the proper keywords to find it but I give up. I hope somebody can help me with this.
My goal is to create a small C code that remux a video file to another container (mp4 or whatever, not decided yet) and create a JNI interface to read the raw output bytes in my Java application.
Create the JNI interface is not a problem and remux the video is pretty simple (and there is a great example at http://ffmpeg.org/doxygen/trunk/doc_2examples_2remuxing_8c-example.html), but I’m having a headache trying to figure out how I can tell FFmpeg to deliver the data when my application requests it.
I was thinking in create a thread, where the remux would be done, and write the output data to a buffer where my application would read it. When the buffer is full the remux would be paused until it is flushed, but I don’t know how I can achieve that or if it would be a proper solution.
I believe the best solution will involve creating an AVIOContext but I’m not very sure.
Thank you very much in advance.
EDIT :
A solution I found, but I don’t like it at all, is to run the "ffmpeg" executable, tell it to write the output to "stdout" and read this output from my Java application using an InputStream.