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Autres articles (108)

  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 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 (...)

  • Amélioration de la version de base

    13 septembre 2013

    Jolie sélection multiple
    Le plugin Chosen permet d’améliorer l’ergonomie des champs de sélection multiple. Voir les deux images suivantes pour comparer.
    Il suffit pour cela d’activer le plugin Chosen (Configuration générale du site > Gestion des plugins), puis de configurer le plugin (Les squelettes > Chosen) en activant l’utilisation de Chosen dans le site public et en spécifiant les éléments de formulaires à améliorer, par exemple select[multiple] pour les listes à sélection multiple (...)

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

Sur d’autres sites (14112)

  • How to use ffmpeg capture screen (not command) ?

    16 novembre 2022, par Tom

    I am looking for example on the Internet, but none of the relevant examples can be run. Always I compile the no match ffmpeg version. Could someone share a example to learn ?

    


  • Rendering YUV420P ffmpeg decoded images on QT with OpenGL, only see black screen

    17 février 2019, par Lucas Zanella

    I’ve found this QT OpenGL Widget which should render a 420PYUV image on screen. I’m feeding a ffmpeg decoded buffer into its paintGL() function but I see nothing. Neither noises or correct images, only a black screen. I’m trying to understand why.

    I want to exclude the possibilities of other things being wrong, but I need to be sure first that my code will produce anything. I std::couted some bytes from the ffmpeg just to see if they were arriving and they were. So I should see at least some noise.

    Can you see anything wrong with my code that wouldn’t make it able to render images on screen ?

    This is the widget that should output the image :

    #include "XVideoWidget.h"
    #include <qdebug>
    #include <qtimer>
    #include <iostream>
    //自动加双引号
    #define GET_STR(x) #x
    #define A_VER 3
    #define T_VER 4

    //顶点shader
    const char *vString = GET_STR(
       attribute vec4 vertexIn;
       attribute vec2 textureIn;
       varying vec2 textureOut;
       void main(void)
       {
           gl_Position = vertexIn;
           textureOut = textureIn;
       }
    );


    //片元shader
    const char *tString = GET_STR(
       varying vec2 textureOut;
       uniform sampler2D tex_y;
       uniform sampler2D tex_u;
       uniform sampler2D tex_v;
       void main(void)
       {
           vec3 yuv;
           vec3 rgb;
           yuv.x = texture2D(tex_y, textureOut).r;
           yuv.y = texture2D(tex_u, textureOut).r - 0.5;
           yuv.z = texture2D(tex_v, textureOut).r - 0.5;
           rgb = mat3(1.0, 1.0, 1.0,
               0.0, -0.39465, 2.03211,
               1.13983, -0.58060, 0.0) * yuv;
           gl_FragColor = vec4(rgb, 1.0);
       }

    );



    //准备yuv数据
    // ffmpeg -i v1080.mp4 -t 10 -s 240x128 -pix_fmt yuv420p  out240x128.yuv
    XVideoWidget::XVideoWidget(QWidget * parent)
    {
      // setWindowFlags (Qt::WindowFullscreenButtonHint);
     //  showFullScreen();

    }

    XVideoWidget::~XVideoWidget()
    {
    }

    //初始化opengl
    void XVideoWidget::initializeGL()
    {
       //qDebug() &lt;&lt; "initializeGL";
       std::cout &lt;&lt; "initializing gl" &lt;&lt; std::endl;
       //初始化opengl (QOpenGLFunctions继承)函数
       initializeOpenGLFunctions();

       this->m_F  = QOpenGLContext::currentContext()->functions();

       //program加载shader(顶点和片元)脚本
       //片元(像素)
       std::cout &lt;&lt; program.addShaderFromSourceCode(QOpenGLShader::Fragment, tString) &lt;&lt; std::endl;
       //顶点shader
       std::cout &lt;&lt; program.addShaderFromSourceCode(QOpenGLShader::Vertex, vString) &lt;&lt; std::endl;

       //设置顶点坐标的变量
       program.bindAttributeLocation("vertexIn",A_VER);

       //设置材质坐标
       program.bindAttributeLocation("textureIn",T_VER);

       //编译shader
       std::cout &lt;&lt; "program.link() = " &lt;&lt; program.link() &lt;&lt; std::endl;

       std::cout &lt;&lt; "program.bind() = " &lt;&lt; program.bind() &lt;&lt; std::endl;

       //传递顶点和材质坐标
       //顶点
       static const GLfloat ver[] = {
           -1.0f,-1.0f,
           1.0f,-1.0f,
           -1.0f, 1.0f,
           1.0f,1.0f
       };

       //材质
       static const GLfloat tex[] = {
           0.0f, 1.0f,
           1.0f, 1.0f,
           0.0f, 0.0f,
           1.0f, 0.0f
       };

       //顶点
       glVertexAttribPointer(A_VER, 2, GL_FLOAT, 0, 0, ver);
       glEnableVertexAttribArray(A_VER);

       //材质
       glVertexAttribPointer(T_VER, 2, GL_FLOAT, 0, 0, tex);
       glEnableVertexAttribArray(T_VER);

       //glUseProgram(&amp;program);
       //从shader获取材质
       unis[0] = program.uniformLocation("tex_y");
       unis[1] = program.uniformLocation("tex_u");
       unis[2] = program.uniformLocation("tex_v");

       //创建材质
       glGenTextures(3, texs);

       //Y
       glBindTexture(GL_TEXTURE_2D, texs[0]);
       //放大过滤,线性插值   GL_NEAREST(效率高,但马赛克严重)
       glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR);
       glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
       //创建材质显卡空间
       glTexImage2D(GL_TEXTURE_2D, 0, GL_RED, width, height, 0, GL_RED, GL_UNSIGNED_BYTE, 0);

       //U
       glBindTexture(GL_TEXTURE_2D, texs[1]);
       //放大过滤,线性插值
       glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR);
       glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
       //创建材质显卡空间
       glTexImage2D(GL_TEXTURE_2D, 0, GL_RED, width/2, height / 2, 0, GL_RED, GL_UNSIGNED_BYTE, 0);

       //V
       glBindTexture(GL_TEXTURE_2D, texs[2]);
       //放大过滤,线性插值
       glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR);
       glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
       //创建材质显卡空间
       glTexImage2D(GL_TEXTURE_2D, 0, GL_RED, width / 2, height / 2, 0, GL_RED, GL_UNSIGNED_BYTE, 0);

       ///分配材质内存空间
       datas[0] = new unsigned char[width*height];     //Y
       datas[1] = new unsigned char[width*height/4];   //U
       datas[2] = new unsigned char[width*height/4];   //V
    }

    //刷新显示
    void XVideoWidget::paintGL(unsigned char**data)
    //void QFFmpegGLWidget::updateData(unsigned char**data)
    {
       std::cout &lt;&lt; "painting!" &lt;&lt; std::endl;
       memcpy(datas[0], data[0], width*height);
       memcpy(datas[1], data[1], width*height/4);
       memcpy(datas[2], data[2], width*height/4);

       glActiveTexture(GL_TEXTURE0);
       glBindTexture(GL_TEXTURE_2D, texs[0]); //0层绑定到Y材质
       //修改材质内容(复制内存内容)
       glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, width, height, GL_RED, GL_UNSIGNED_BYTE, datas[0]);
       //与shader uni遍历关联
       glUniform1i(unis[0], 0);


       glActiveTexture(GL_TEXTURE0+1);
       glBindTexture(GL_TEXTURE_2D, texs[1]); //1层绑定到U材质
                                              //修改材质内容(复制内存内容)
       glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, width/2, height / 2, GL_RED, GL_UNSIGNED_BYTE, datas[1]);
       //与shader uni遍历关联
       glUniform1i(unis[1],1);


       glActiveTexture(GL_TEXTURE0+2);
       glBindTexture(GL_TEXTURE_2D, texs[2]); //2层绑定到V材质
                                              //修改材质内容(复制内存内容)
       glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, width / 2, height / 2, GL_RED, GL_UNSIGNED_BYTE, datas[2]);
       //与shader uni遍历关联
       glUniform1i(unis[2], 2);

       glDrawArrays(GL_TRIANGLE_STRIP,0,4);
       qDebug() &lt;&lt; "paintGL";
    }


    // 窗口尺寸变化
    void XVideoWidget::resizeGL(int width, int height)
    {
       m_F->glViewport(0, 0, width, height);

       qDebug() &lt;&lt; "resizeGL "&lt;code></iostream></qtimer></qdebug>

    Here’s a bit of code from my MainWindow :

    MainWindow::MainWindow(QWidget *parent):
       QMainWindow(parent)
       {
           FfmpegDecoder* ffmpegDecoder = new FfmpegDecoder();
           if(!ffmpegDecoder->Init()) {
               std::cout &lt;&lt; "problem with ffmpeg decoder init"  &lt;&lt; std::endl;
           } else {
               std::cout &lt;&lt; "fmmpeg decoder initiated"  &lt;&lt; std::endl;
           }
           XVideoWidget * xVideoWidget = new XVideoWidget(parent);
           ffmpegDecoder->setOpenGLWidget(xVideoWidget);

           mediaStream = new MediaStream(uri, ffmpegDecoder, videoConsumer);//= new MediaStream(uri, ffmpegDecoder, videoConsumer);
           //...
       }
       void MainWindow::run()
       {
           mediaStream->receiveFrame();
       }

    My main.cpp makes sure my window run() method runs in the background.

       MainWindow w;
       w.setFixedSize(1280,720);
       w.show();
       boost::thread mediaThread(&amp;MainWindow::run, &amp;w);
       std::cout &lt;&lt; "mediaThread running"  &lt;&lt; std::endl;

    If someone wants to view the entire code, please feel free to visit the commit I just did : https://github.com/lucaszanella/orwell/tree/bbd74e42bd42df685bacc5d51cacbee3a178689f

  • Enhanced Privacy Control : Matomo’s Guide for Consent Manager Platform Integrations

    13 février, par Alex Carmona — Development, Latest Releases

    In today’s digital landscape, protecting user privacy isn’t just about compliance—it’s about building trust and demonstrating respect for user choices. Even though you can use Matomo without requiring consent when properly configured in compliance with privacy regulations, we’re excited to introduce a new Consent Manager Platforms (CMP) category on our Integrations page to make it easier than ever to implement privacy-respecting analytics.

    What’s a consent manager platform ?

    Consent Management Platform (CMP) is a tool that helps websites collect, manage, and store user consent for data tracking and cookies in compliance with privacy regulations like GDPR and CCPA. A CMP allows users to choose which types of data they want to share, ensuring transparency and respecting their privacy preferences. By integrating a CMP with Matomo, organisations can make sure that analytics tracking occurs only after obtaining explicit user consent.

    detailed consent flow explianed for CMP

    Remember, you can configure Matomo to remain fully GDPR compliant, without requiring user consent.

    Why consent management matters

    With privacy regulations reshaping data collection practices daily, organisations need to ensure that analytics data is gathered only after users have explicitly given their consent. Integrating Matomo with a Consent Management Platform helps you :

    • Strengthen regulatory compliance
    • Enhance user trust through transparency
    • Clearly document consent choices
    • Simplify privacy management

    By making consent management seamless, you can maintain compliance while delivering a privacy-first experience to your users.

    Introducing our CMP integration options

    We’ve carefully curated integrations with leading Consent Management Platforms that work seamlessly with Matomo Analytics and Matomo Tag Manager. Our supported platforms include :

    All cmp platforms integration for Matomo

    Supported consent management platforms

    • Osano – Comprehensive consent management with global regulation support
    • Cookiebot – Advanced cookie consent and compliance automation
    • CookieYes – User-friendly consent management solution
    • Tarte au Citron – Open-source consent management tool
    • Klaro – Privacy-focused consent management system
    • OneTrust – Enterprise-grade privacy management platform
    • Complianz for WordPress – Specialised WordPress consent solution

    Each platform provides unique features and compliance options, allowing you to select the best fit for your privacy needs.

    Getting started with simplified implementation

    Ready to enhance your privacy compliance ? We’ve made the integration process straightforward, so you can set up a privacy-compliant analytics environment in just a few steps. Here’s how to begin :

    1. Explore our new CMP category on the Integrations page
    2. Select and implement the CMP that best suits your needs
    3. Check our implementation guides for step-by-step instructions
    4. Configure your consent management settings in Matomo
    5. Start collecting analytics data with proper consent management

    Moving Forward

    As privacy regulations evolve and user expectations around data protection grow, proper consent management is more important than ever. With Matomo’s new CMP integrations, you can ensure compliance while maintaining full control over your analytics data.

    Visit our Integrations page and our Implementation guides today to explore these privacy-enhancing solutions and take the next step in your privacy-first analytics journey.