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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (98)
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List of compatible distributions
26 avril 2011, parThe table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...) -
MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, 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 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 (...)
Sur d’autres sites (9485)
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how to us google ML kit Selfie segmentation in flutter to overlay segmented user on top of chosen image or video ? [closed]
4 avril 2024, par AmrI'm working on implementing a virtual background feature using the Google ML Kit selfie segmentation Flutter plugin. The goal is to separate the user from the background live from the camera feed, overlay the user on a chosen image or video, and then create a new video combining these elements.


Currently, I'm successfully obtaining the mask using the plugin. However, I'm concerned about performance issues if I directly copy pixels to achieve the overlay effect, especially in real-time scenarios.


I'm looking for alternative approaches or best practices to efficiently achieve this functionality without sacrificing performance. Any insights or suggestions on how to approach this would be greatly appreciated.


I thought about using ffmpeg but not sure how to take the user pixels from the camera feed, I am not a flutter developer so not sure how to do so.


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Presentation of Piwik’s collaborative translations platform : oTrance [Interview]
19 avril 2013, par matt — Community, translationPiwik enables domain administrators, hobbyists, power users, personal website builders and everyone in between to access enormous amounts of data for website analytics. To support all those users, Piwik needs to be available in a number of different languages. From the start, we made internationalization (i18n) part of Piwik’s DNA. There are now dozens active volunteers who help make sure each language is well represented in the latest official release of Piwik. As of now, Piwik is available in 48 languages.
Recently a new tool became available that makes the translation of Piwik much easier. The software we are using is an open source platform called oTrance. It has made our translation architecture more robust, and it allows us to expedite the timely delivery of high quality and up-to-date translations to the thousands of people who rely on Piwik every day.
We’ve met with oTrance creator and lead developer Daniel Schlichtholz who answered a few questions for us.
What is oTrance ?
oTranCe is the short form of “Online Translation Center”. It was born because I needed a translation platform for my project MySQLDumper.
Many languages have been added by the community and manual maintenance became more and more time consuming. I wanted to change that. So I searched for an existing platform I could use and tested a lot of approaches. To put a long story short : none of the given solutions satisfied my needs.
From the view of a translator maintaining a language should be as easy as possible. In most cases they have to install a program on their local machine or the workflow was too difficult. A translator doesn’t want to struggle with technical things ; he just wants to translate the phrases and wants to know the progress.
That’s the main goal we want to reach : to make the translation process as easy as possible.
What sets oTrance apart from the other ways to manage translations ?
Ease of use is one advantage of oTranCe compared to other solutions. Another advantage is that project administrators can install oTranCe on their own server – so nobody is dependant of a third party provider.
We love to get feedback from other users. User feedback influences the way oTranCe is developed. We believe that this way oTranCe satisfies the requirements of the real world.
We also have extensive user documentation, in our “Working with oTranCe” wiki. We try to document use cases in an understandable way. We don’t write down marketing buzz words, but try to explain the use from the view of the user/administrator.
Now that oTranCe 1.0 is out, what will you be working on next ?
The language files can be exported to version control and oTranCe can commit changes to the target repository. Currently we support export to Subversion, and we are working on a Git export adapter, which will be released soon.
Another issue we are trying to solve is the context problem. When your project uses many different phrases the translator often doesn’t know in which context the current phrase is used. Version 1.1.0 (not released yet, but you can grab the latest developer version from GitHub) introduces the oTranCe-connector. The idea behind it : a small plug in grabs the used phrases/keys on the current page, and on click this list is submitted to oTranCe, where the translator can edit the words. This way the translator knows in which context these phrases are used. I wrote a small plug in for OXID eShop. Since it is really easy to implement, my hope is that other plug ins for other applications will be added by the community.
Matthieu : Congratulations Daniel for having created such an awesome Translation Platform. At Piwik we are really thankful for oTranCe, which has resulted in much better translation process, and happier translators. Keep up the good work !
If you are a Piwik user, and if you want to participate in translating Piwik, please sign up for an account on oTrance and become part of the team making Piwik available in more languages across the world.
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I download audio files but in m3u8 format. How to convert to mp3 ?
26 mai 2022, par Александр КузнецовI download audio files but in m3u8 format. How to convert to mp3 ? tried with ffmpeg. But nothing is downloading at the output, and only some strange characters are visible in the console.


def vk_music_get(login,password):

 vk_session = vk_api.VkApi(login=login, password=password)
 vk_session.auth(token_only=False)
 vk_session.get_api()
 vk_aud = vk_api.audio.VkAudio(vk_session)
 for i in vk_aud.get():
 print(i)
 music_name = i['artist']
 urllib.request.urlretrieve(i['url'], f'\\Users\\AlexK\\PycharmProjects\\MyArchive\\music_vk\\{music_name}.m3u8 ')
 print('VK Download Success! ^_^')



When I try ffmpeg, I get these characters