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  • Personnaliser en ajoutant son logo, sa bannière ou son image de fond

    5 septembre 2013, par

    Certains 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 ;

  • Publier sur MédiaSpip

    13 juin 2013

    Puis-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

  • Ecrire une actualité

    21 juin 2013, par

    Présentez les changements dans votre MédiaSPIP ou les actualités de vos projets sur votre MédiaSPIP grâce à la rubrique actualités.
    Dans le thème par défaut spipeo de MédiaSPIP, les actualités sont affichées en bas de la page principale sous les éditoriaux.
    Vous pouvez personnaliser le formulaire de création d’une actualité.
    Formulaire de création d’une actualité Dans le cas d’un document de type actualité, les champs proposés par défaut sont : Date de publication ( personnaliser la date de publication ) (...)

Sur d’autres sites (5924)

  • Presentation of Piwik’s collaborative translations platform : oTrance [Interview]

    19 avril 2013, par matt — Community, translation

    thank-you-around-worldPiwik 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.

  • ffmpeg gives rc buffer underflow error when streaming webcam [on hold]

    9 novembre 2017, par Ard Boer

    I use this command in my terminal to stream my webcam locally :

    ffmpeg -f avfoundation -pixel_format yuyv422 -framerate 10 -i "0" -b:v 512kb -maxrate 512kb -bufsize 512kb -an http://localhost:8090/feed2.ffm

    For some reason it gives an error "rc buffer underflow". Hope someone can help me out to fix this.

  • ffmpeg/opencv How to perform Edge Detection after classify Type of frames

    25 janvier 2018, par 8793

    I want to generate edge map of I-frame only in a video streaming applications (server). Below is code to generate type of frame in ffmpeg.

    AVFrame *frame;
    pictType = av_get_picture_type_char(frame->pict_type);

    After this step, I don’t know how to process frame (using opencv c++) to have its edge map.

    As I am a beginner in ffmpeg, I hope you can give me a simple example to understand this issue.