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  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 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, par

    MediaSPIP 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 (...)

  • Personnaliser les catégories

    21 juin 2013, par

    Formulaire de création d’une catégorie
    Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
    Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
    On peut modifier ce formulaire dans la partie :
    Administration > Configuration des masques de formulaire.
    Dans le cas d’un document de type média, les champs non affichés par défaut sont : Descriptif rapide
    Par ailleurs, c’est dans cette partie configuration qu’on peut indiquer le (...)

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  • Capture from multiple streams concurrently, best way to do it and how to reduce CPU usage

    19 juin 2019, par DRONE_6969

    I am currently in the process of writing an application that will capture a lot of RTSP streams(in my case its 12) and display it on the QT widget. The problem arouses when I am going beyond around 6-7 streams, the CPU usage spikes and there is visible stutter.

    The reason why I think that it is not QT draw function is because I have done some checking to measure how much time it takes to draw an incoming image from camera and just sample images I had, it is always a lot less than 33 milliseconds(even if there are 12 widgets being updated).

    I also just ran opencv capture method without drawing and got pretty much the same CPU consumption as if I was drawing the frames (lost like 10% CPU at most and GPU usage went to zero).

    IMPORTANT : I am using RTSP stream which is a h264 stream.

    IF IT MATTERS MY SPECS :

    Intel Core i7-6700 @ 3.40GHZ(8 CPUS)
    Memory : 16gb
    GPU : Intel HD Graphics 530

    (Also I ran my code on a computer with dedicated Graphics card, it did eliminate some stutter but CPU usage is still pretty high)

    I am currently using OPENCV 4.1.0 with GSTREAMER enabled and built, I also have the OPENCV-WORLD version, there is no difference in performance.

    I have created a special class called Camera that holds its frame size constraints and various control functions as well stream function. The stream function is being ran on a separate thread, whenever stream() function is done with current frame it sends ready Mat via onNewFrame event I created which converts to QPixmap and updates widget’s lastImage variable. This way I can update image in a more thread safe way.

    I have tried to manipulate those VideoCapture.set() values, but it didn’t really help.

    This is my stream function (Ignore the bool return, it doesn’t do anything it is a remnant from couple of minutes ago when I was trying to use std::async) :

    bool Camera::stream() {
       /* This function is meant to run on a separate thread and fill up the buffer independantly of
       main stream thread */
       //cv::setNumThreads(100);
       /* Rules for these slightly changed! */
       Mat pre;  // Grab initial undoctored frame
       //pre = Mat::zeros(size, CV_8UC1);
       Mat frame; // Final modified frame
       frame = Mat::zeros(size, CV_8UC1);
       if (!pre.isContinuous()) pre = pre.clone();

       ipCam.open(streamUrl, CAP_FFMPEG);


       while (ipCam.isOpened() && capture) {
           // If camera is opened wel need to capture and process the frame
           try {
               auto start = std::chrono::system_clock::now();

               ipCam >> pre;

               if (pre.empty()) {
                   /* Check for blank frame, return error if there is a blank frame*/
                   cerr << id << ": ERROR! blank frame grabbed\n";
                   for (FrameListener* i : clients) {
                       i->onNotification(1); // Notify clients about this shit
                   }
                   break;
               }

               else {
                   // Only continue if frame not empty

                   if (pre.cols != size.width && pre.rows != size.height) {
                       resize(pre, frame, size);
                       pre.release();
                   }
                   else {
                       frame = pre;
                   }

                   dPacket* pack = new dPacket{id,&frame};
                   for (auto i : clients) {
                       i->onPNewFrame(pack);
                   }
                   frame.release();
                   delete pack;
               }
           }

           catch (int e) {
               cout << endl << "-----Exception during capture process! CODE " << e << endl;
           }
           // End camera manipulations
       }

       cout << "Camera timed out, or connection is closed..." << endl;
       if (tryResetConnection) {
           cout << "Reconnection flag is set, retrying after 3 seconds..." << endl;
           for (FrameListener* i : clients) {
               i->onNotification(-1); // Notify clients about this shit
           }
           this_thread::sleep_for(chrono::milliseconds(3000));
           stream();
       }

       return true;
    }

    This is my onPNewFrame function. The conversion is still being done on camera’s thread because it was called within stream() and therefore is within that scope(and I also checked) :

    void GLWidget::onPNewFrame(dPacket* inPack) {
       lastFlag = 0;

       if (bufferEnabled) {
           buffer.push(QPixmap::fromImage(toQImageFromPMat(inPack->frame)));
       }
       else {
           if (playing) {
               /* Only process if this widget is playing */
               frameProcessing = true;
               lastImage.convertFromImage(toQImageFromPMat(inPack->frame));
               frameProcessing = false;
           }
       }

       if (lastFlag != -1 && !lastImage.isNull()) {
           connecting = false;
       }
       else {
           connecting = true;
       }
    }

    This is my Mat to QImage :

    QImage GLWidget::toQImageFromPMat(cv::Mat* mat) {



       return QImage(mat->data, mat->cols, mat->rows, QImage::Format_RGB888).rgbSwapped();

    NOTE : not converting does not result in CPU boost (at least not a significant one).

    Minimal verifiable example

    This program is large. I am going to paste GLWidget.cpp and GLWidget.h as well as Camera.h and Camera.cpp. You can put GLWidget into anything just as long as you spawn more than 6 of it. Camera relies on the CamUtils, but it is possible to just paste url in videocapture

    I also supplied CamUtils, just in case

    Camera.h :

    #pragma once
    #include <iostream>
    #include <vector>
    #include <fstream>
    #include <map>
    #include <string>
    #include <sstream>
    #include <algorithm>
    #include "FrameListener.h"
    #include
    #include <thread>
    #include "CamUtils.h"
    #include <ctime>
    #include "dPacket.h"

    using namespace std;
    using namespace cv;

    class Camera
    {

       /*
           CLEANED UP!
           Camera now is only responsible for streaming and echoing captured frames.
           Frames are now wrapped into dPacket struct.
       */


    private:
       string id;
       vector clients;
       VideoCapture ipCam;
       string streamUrl;
       Size size;
       bool tryResetConnection = false;

       //TODO: Remove these as they are not going to be used going on:
       bool isPlaying = true;
       bool capture = true;

       //SECRET FEATURES:
       bool detect = false;


    public:
       Camera(string url, int width = 480, int height = 240, bool detect_=false);
       bool stream();
       void setReconnectable(bool newReconStatus);
       void addListener(FrameListener* client);
       vector<bool> getState();    // Returns current state: vector[0] stream state; vector[1] stream state; TODO: Remove this as this is no longer should control behaviour
       void killStream();
       bool getReconnectable();
    };

    </bool></ctime></thread></algorithm></sstream></string></map></fstream></vector></iostream>

    Camera.cpp

    #include "Camera.h"


    Camera::Camera(string url, int width, int height, bool detect_) // Default 240p
    {
       streamUrl = url; // Prepare url
       size = Size(width, height);
       detect = detect_;

    }

    void Camera::addListener(FrameListener* client) {
       clients.push_back(client);
    }


    /*
                   TEST CAMERAS(Paste into cameras.dViewer):
                   {"id":"96a73796-c129-46fc-9c01-40acd8ed7122","ip":"176.57.73.231","password":"null","username":"null"},
                   {"id":"96a73796-c129-46fc-9c01-40acd8ed7122","ip":"176.57.73.231","password":"null","username":"null"},
                   {"id":"96a73796-c129-46fc-9c01-40acd8ed7144","ip":"172.20.101.13","password":"admin","username":"root"}
                   {"id":"96a73796-c129-46fc-9c01-40acd8ed7144","ip":"172.20.101.13","password":"admin","username":"root"}

    */



    bool Camera::stream() {
       /* This function is meant to run on a separate thread and fill up the buffer independantly of
       main stream thread */
       //cv::setNumThreads(100);
       /* Rules for these slightly changed! */
       Mat pre;  // Grab initial undoctored frame
       //pre = Mat::zeros(size, CV_8UC1);
       Mat frame; // Final modified frame
       frame = Mat::zeros(size, CV_8UC1);
       if (!pre.isContinuous()) pre = pre.clone();

       ipCam.open(streamUrl, CAP_FFMPEG);

       while (ipCam.isOpened() &amp;&amp; capture) {
           // If camera is opened wel need to capture and process the frame
           try {
               auto start = std::chrono::system_clock::now();

               ipCam >> pre;

               if (pre.empty()) {
                   /* Check for blank frame, return error if there is a blank frame*/
                   cerr &lt;&lt; id &lt;&lt; ": ERROR! blank frame grabbed\n";
                   for (FrameListener* i : clients) {
                       i->onNotification(1); // Notify clients about this shit
                   }
                   break;
               }

               else {
                   // Only continue if frame not empty

                   if (pre.cols != size.width &amp;&amp; pre.rows != size.height) {
                       resize(pre, frame, size);
                       pre.release();
                   }
                   else {
                       frame = pre;
                   }

                   auto end = std::chrono::system_clock::now();
                   std::time_t ts = std::chrono::system_clock::to_time_t(end);
                   dPacket* pack = new dPacket{ id,&amp;frame};
                   for (auto i : clients) {
                       i->onPNewFrame(pack);
                   }
                   frame.release();
                   delete pack;
               }
           }

           catch (int e) {
               cout &lt;&lt; endl &lt;&lt; "-----Exception during capture process! CODE " &lt;&lt; e &lt;&lt; endl;
           }
           // End camera manipulations
       }

       cout &lt;&lt; "Camera timed out, or connection is closed..." &lt;&lt; endl;
       if (tryResetConnection) {
           cout &lt;&lt; "Reconnection flag is set, retrying after 3 seconds..." &lt;&lt; endl;
           for (FrameListener* i : clients) {
               i->onNotification(-1); // Notify clients about this shit
           }
           this_thread::sleep_for(chrono::milliseconds(3000));
           stream();
       }

       return true;
    }


    void Camera::killStream(){
       tryResetConnection = false;
       capture = false;
       ipCam.release();
    }

    void Camera::setReconnectable(bool reconFlag) {
       tryResetConnection = reconFlag;
    }

    bool Camera::getReconnectable() {
       return tryResetConnection;
    }

    vector<bool> Camera::getState() {
       vector<bool> states;
       states.push_back(isPlaying);
       states.push_back(ipCam.isOpened());
       return states;
    }



    </bool></bool>

    GLWidget.h :

    #ifndef GLWIDGET_H
    #define GLWIDGET_H

    #include <qopenglwidget>
    #include <qmouseevent>
    #include "FrameListener.h"
    #include "Camera.h"
    #include "FrameListener.h"
    #include
    #include "Camera.h"
    #include "CamUtils.h"
    #include
    #include "dPacket.h"
    #include <chrono>
    #include <ctime>
    #include
    #include "FullScreenVideo.h"
    #include <qmovie>
    #include "helper.h"
    #include <iostream>
    #include <qpainter>
    #include <qtimer>

    class Helper;

    class GLWidget : public QOpenGLWidget, public FrameListener
    {
       Q_OBJECT

    public:
       GLWidget(std::string camId, CamUtils *cUtils, int width, int height, bool denyFullScreen_ = false, bool detectFlag_=false, QWidget* parent = nullptr);
       void killStream();
       ~GLWidget();

    public slots:
       void animate();
       void setBufferEnabled(bool setState);
       void setCameraRetryConnection(bool setState);
       void GLUpdate();            // Call to update the widget
       void onRightClickMenu(const QPoint&amp; point);

    protected:
       void paintEvent(QPaintEvent* event) override;
       void onPNewFrame(dPacket* frame);
       void onNotification(int alert_code);


    private:
       // Objects and resourses
       Helper* helper;
       Camera* cam;
       CamUtils* camUtils;
       QTimer* timer; // Keep track of update
       QPixmap lastImage;
       QMovie* connMov;
       QMovie* test;

       QPixmap logo;

       // Control fields
       int width;
       int height;
       int camUtilsAddr;
       int elapsed;
       std::thread* camThread;
       std::string camId;
       bool denyFullScreen = false;
       bool playing = true;
       bool streaming = true;
       bool debug = false;
       bool connecting = true;
       int lastFlag = 0;


       // Debug fields
       std::chrono::high_resolution_clock::time_point lastFrameAt;
       std::chrono::high_resolution_clock::time_point now;
       std::chrono::duration<double> painTime; // time took to draw last frame

       //Buffer stuff
       std::queue<qpixmap> buffer;
       bool bufferEnabled = false;
       bool initialBuffer = false;
       bool buffering = true;
       bool frameProcessing = false;



       //Functions
       QImage toQImageFromPMat(cv::Mat* inFrame);
       void mousePressEvent(QMouseEvent* event) override;
       void drawImageGLLatest(QPainter* painter, QPaintEvent* event, int elapsed);
       void drawOnPaused(QPainter* painter, QPaintEvent* event, int elapsed);
       void drawOnStatus(int statusFlag, QPainter* painter, QPaintEvent* event, int elapsed);
    };

    #endif

    </qpixmap></double></qtimer></qpainter></iostream></qmovie></ctime></chrono></qmouseevent></qopenglwidget>

    GLWidget.cpp :

    #include "glwidget.h"
    #include <future>


    FullScreenVideo* fullScreen;

    GLWidget::GLWidget(std::string camId_, CamUtils* cUtils, int width_, int height_,  bool denyFullScreen_, bool detectFlag_, QWidget* parent)
       : QOpenGLWidget(parent), helper(helper)
    {
       cout &lt;&lt; "Player for CAMERA " &lt;&lt; camId_ &lt;&lt; endl;

       /* Underlying properties */
       camUtils = cUtils;
       cout &lt;&lt; "GLWidget Incoming CamUtils addr " &lt;&lt; camUtils &lt;&lt; endl;
       cout &lt;&lt; "GLWidget Set CamUtils addr " &lt;&lt; camUtils &lt;&lt; endl;
       camId = camId_;
       elapsed = 0;
       width = width_ + 5;
       height = height_ + 5;
       helper = new Helper();
       setFixedSize(width, height);
       denyFullScreen = denyFullScreen_;

       /* Camera capture thread */
       cam = new Camera(camUtils->getCameraStreamURL(camId), width_, height_, detectFlag_);
       cam->addListener(this);

       /* Sync states */
       vector<bool> initState = cam->getState();
       playing = initState[0];
       streaming = initState[1];
       cout &lt;&lt; "Initial states: " &lt;&lt; playing &lt;&lt; " " &lt;&lt; streaming &lt;&lt; endl;
       camThread = new std::thread(&amp;Camera::stream, cam);
       cout &lt;&lt; "================================================" &lt;&lt; endl;

       // Right click set up
       setContextMenuPolicy(Qt::CustomContextMenu);


       /* Loading gif */
       connMov = new QMovie("establishingConnection.gif");
       connMov->start();
       QString url = R"(RLC-logo.png)";
       logo = QPixmap(url);
       QTimer* timer = new QTimer(this);
       connect(timer, SIGNAL(timeout()), this, SLOT(GLUpdate()));
       timer->start(1000/30);
       playing = true;

    }

    /* SYSTEM */
    void GLWidget::animate()
    {
       elapsed = (elapsed + qobject_cast(sender())->interval()) % 1000;
       std::cout &lt;&lt; elapsed &lt;&lt; "\n";
    }


    void GLWidget::GLUpdate() {
       /* Process descisions before update call */
       if (bufferEnabled) {
           /* Process buffer before update */
           now = chrono::high_resolution_clock::now();
           std::chrono::duration timeSinceLastUpdate = now - lastFrameAt;
           if (timeSinceLastUpdate.count() > 25) {
               if (buffer.size() > 1 &amp;&amp; playing) {
                   lastImage.swap(buffer.front());
                   buffer.pop();
                   lastFrameAt = chrono::high_resolution_clock::now();
               }
           }
           //update(); // Update
       }
       else {
           /* No buffer */
       }
       repaint();
    }


    /* EVENTS */
    void GLWidget::onRightClickMenu(const QPoint&amp; point) {
       cout &lt;&lt; "Right click request got" &lt;&lt; endl;

       QPoint globPos = this->mapToGlobal(point);
       QMenu myMenu;

       if (!denyFullScreen) {
           myMenu.addAction("Open Full Screen");
       }
       myMenu.addAction("Toggle Debug Info");


       QAction* selected = myMenu.exec(globPos);

       if (selected) {
           string optiontxt = selected->text().toStdString();

           if (optiontxt == "Open Full Screen") {
               cout &lt;&lt; "Chose to open full screen of " &lt;&lt; camId &lt;&lt; endl;
               fullScreen = new FullScreenVideo(bufferEnabled, this);
               fullScreen->setUpView(camUtils, camId);
               fullScreen->show();
               playing = false;
           }

           if (optiontxt == "Toggle Debug Info") {
               cout &lt;&lt; "Chose to toggle debug of " &lt;&lt; camId &lt;&lt; endl;
               debug = !debug;
           }
       }
       else {
           cout &lt;&lt; "Chose nothing!" &lt;&lt; endl;
       }


    }



    void GLWidget::onPNewFrame(dPacket* inPack) {
       lastFlag = 0;

       if (bufferEnabled) {
           buffer.push(QPixmap::fromImage(toQImageFromPMat(inPack->frame)));
       }
       else {
           if (playing) {
               /* Only process if this widget is playing */
               frameProcessing = true;
               lastImage.convertFromImage(toQImageFromPMat(inPack->frame));
               frameProcessing = false;
           }
       }

       if (lastFlag != -1 &amp;&amp; !lastImage.isNull()) {
           connecting = false;
       }
       else {
           connecting = true;
       }
    }


    void GLWidget::onNotification(int alert) {
       lastFlag = alert;  
    }


    /* Paint events*/


    void GLWidget::paintEvent(QPaintEvent* event)
    {
       QPainter painter(this);

           if (lastFlag != 0 || connecting) {
               drawOnStatus(lastFlag, &amp;painter, event, elapsed);
           }
           else {

               /* Actual frame drawing */
               if (playing) {
                   if (!frameProcessing) {
                       drawImageGLLatest(&amp;painter, event, elapsed);
                   }
               }
               else {
                   drawOnPaused(&amp;painter, event, elapsed);
               }
           }
       painter.end();

    }


    /* DRAWING STUFF */

    void GLWidget::drawOnStatus(int statusFlag, QPainter* bgPaint, QPaintEvent* event, int elapsed) {

       QString str;
       QFont font("times", 15);
       bgPaint->eraseRect(QRect(0, 0, width, height));
       if (!lastImage.isNull()) {
           bgPaint->drawPixmap(QRect(0, 0, width, height), lastImage);
       }
       /* Test background painting */
       if (connecting) {
           string k = "Connecting to " + camUtils->getIp(camId);
           str.append(k.c_str());
       }
       else {
           switch (statusFlag) {
           case 1:
               str = "Blank frame received...";
               break;

           case -1:
               if (cam->getReconnectable()) {
                   str = "Connection lost, will try to reconnect.";
                   bgPaint->setOpacity(0.3);
               }
               else {
                   str = "Connection lost...";
                   bgPaint->setOpacity(0.3);
               }

               break;
           }
       }

       bgPaint->drawPixmap(QRect(0, 0, width, height), QPixmap::fromImage(connMov->currentImage()));
       bgPaint->setPen(Qt::red);
       bgPaint->setFont(font);
       QFontMetrics fm(font);
       const QRect kek(0, 0, fm.width(str), fm.height());
       QRect bound;
       bgPaint->setOpacity(1);
       bgPaint->drawText(bgPaint->viewport().width()/2 - kek.width()/2, bgPaint->viewport().height()/2 - kek.height(), str);

       bgPaint->drawPixmap(bgPaint->viewport().width() / 2 - logo.width()/2, height - logo.width() - 15, logo);

    }



    void GLWidget::drawOnPaused(QPainter* painter, QPaintEvent* event, int elapsed) {
       painter->eraseRect(0, 0, width, height);
       QFont font = painter->font();
       font.setPointSize(18);
       painter->setPen(Qt::red);
       QFontMetrics fm(font);
       QString str("Paused");
       painter->drawPixmap(QRect(0, 0, width, height),lastImage);
       painter->drawText(QPoint(painter->viewport().width() - fm.width(str), 50), str);

       if (debug) {
           QFont font = painter->font();
           font.setPointSize(25);
           painter->setPen(Qt::red);
           string camMess = "CAMID: " + camId;
           QString mess(camMess.c_str());
           string camIp = "IP: " + camUtils->getIp(camId);
           QString ipMess(camIp.c_str());
           QString bufferSize("Buffer size: " + QString::number(buffer.size()));
           QString lastFrameText("Last frame draw time: " + QString::number(painTime.count()) + "s");
           painter->drawText(QPoint(10, 50), mess);
           painter->drawText(QPoint(10, 60), ipMess);
           QString bufferState;
           if (bufferEnabled) {
               bufferState = QString("Experimental BUFFER is enabled!");
               QString currentBufferSize("Current buffer load: " + QString::number(buffer.size()));
               painter->drawText(QPoint(10, 80), currentBufferSize);
           }
           else {
               bufferState = QString("Experimental BUFFER is disabled!");
           }
           painter->drawText(QPoint(10, 70), bufferState);
           painter->drawText(QPoint(10, height - 25), lastFrameText);
       }
    }


    void GLWidget::drawImageGLLatest(QPainter* painter, QPaintEvent* event, int elapsed) {
       auto start = chrono::high_resolution_clock::now();
       painter->drawPixmap(QRect(0, 0, width, height), lastImage);
       if (debug) {
           QFont font = painter->font();
           font.setPointSize(25);
           painter->setPen(Qt::red);
           string camMess = "CAMID: " + camId;
           QString mess(camMess.c_str());
           string camIp = "IP: " + camUtils->getIp(camId);
           QString ipMess(camIp.c_str());
           QString bufferSize("Buffer size: " + QString::number(buffer.size()));
           QString lastFrameText("Last frame draw time: " + QString::number(painTime.count()) + "s");
           painter->drawText(QPoint(10, 50), mess);
           painter->drawText(QPoint(10, 60), ipMess);
           QString bufferState;
           if(bufferEnabled){
               bufferState = QString("Experimental BUFFER is enabled!");
               QString currentBufferSize("Current buffer load: " + QString::number(buffer.size()));
               painter->drawText(QPoint(10,80), currentBufferSize);
           }
           else {
               bufferState = QString("Experimental BUFFER is disabled!");
               QString currentBufferSize("Current buffer load: " + QString::number(buffer.size()));
               painter->drawText(QPoint(10, 80), currentBufferSize);
           }
           painter->drawText(QPoint(10, 70), bufferState);
           painter->drawText(QPoint(10, height - 25), lastFrameText);

       }
       auto end = chrono::high_resolution_clock::now();
       painTime = end - start;
    }



    /* END DRAWING STUFF */



    /* UI EVENTS */

    void GLWidget::mousePressEvent(QMouseEvent* e) {

       if (e->button() == Qt::LeftButton) {
           if (fullScreen == nullptr || !fullScreen->isVisible()) { // Do not unpause if window is opened
               playing = !playing;
           }
       }

       if (e->button() == Qt::RightButton) {
           onRightClickMenu(e->pos());
       }
    }



    /* Utilities */
    QImage GLWidget::toQImageFromPMat(cv::Mat* mat) {



       return QImage(mat->data, mat->cols, mat->rows, QImage::Format_RGB888).rgbSwapped();



    }

    /* State control */

    void GLWidget::killStream() {
       cam->killStream();
       camThread->join();
    }

    void GLWidget::setBufferEnabled(bool newBufferState) {
       cout &lt;&lt; "Player: " &lt;&lt; camId &lt;&lt; ", buffer state updated: " &lt;&lt; newBufferState &lt;&lt; endl;
       bufferEnabled = newBufferState;
       buffer.empty();
    }

    void GLWidget::setCameraRetryConnection(bool newState) {
       cam->setReconnectable(newState);
    }

    /* Destruction */
    GLWidget::~GLWidget() {
       cam->killStream();
       camThread->join();
    }
    </bool></future>

    CamUtils.h :

    #pragma once
    #include <iostream>
    #include <vector>
    #include <fstream>
    #include <map>
    #include <string>
    #include <sstream>
    #include <algorithm>
    #include <nlohmann></nlohmann>json.hpp>

    using namespace std;
    using json = nlohmann::json;

    class CamUtils
    {
    private:

       string camDb = "cameras.dViewer";
       map> cameraList; // Legacy
       json cameras;
       ofstream dbFile;
       bool dbExists(); // Always hard coded

       /* Old IMPLEMENTATION */
       void writeLineToDb_(const string&amp; content, bool append = false);
       void loadCameras_();

       /* JSON based */
       void loadCameras();

    public:
       CamUtils();
       string generateRandomString(size_t length);
       string getCameraStreamURL(string cameraId) const;
       string saveCamera(string ip, string username, string pass); // Return generated id
       vector<string> listAllCameraIds();
       string getIp(string cameraId);
    };


    </string></algorithm></sstream></string></map></fstream></vector></iostream>

    CamUtils.cpp :

    #include "CamUtils.h"
    #pragma comment(lib, "rpcrt4.lib")  // UuidCreate - Minimum supported OS Win 2000
    #include
    #include <iostream>

    CamUtils::CamUtils()
    {
       if (!dbExists()) {
           ofstream dbFile;
           dbFile.open(camDb);
           cameras["cameras"] = json::array();
           dbFile &lt;&lt; cameras &lt;&lt; std::endl;
           dbFile.close();

       }
       else {
           loadCameras();
       }
    }




    vector<string> CamUtils::listAllCameraIds() {
       vector<string> ids;
       cout &lt;&lt; "IN LIST " &lt;&lt; endl;
       for (auto&amp; cam : cameras["cameras"]) {
           ids.push_back(cam["id"].get<string>());
           //cout &lt;&lt; cam["id"].get<string>() &lt;&lt; std::endl;
       }
       return ids;
    }

    string CamUtils::getIp(string id) {
       vector<string> camDetails = cameraList[id];
       string ip = "NO IP WILL DISPLAYED UNTIL I FIGURE OUT A BUG";
       for (auto&amp; cam : cameras["cameras"]) {
           if (id == cam["id"]) {
               ip = cam["ip"].get<string>();
           }
       }

       return ip;
    }

    string CamUtils::getCameraStreamURL(string id) const {
       string url = "err"; // err is the default, it will be overwritten in case id is found, dont forget to check for it

       for (auto&amp; cam : cameras["cameras"]) {
           if (id == cam["id"]) {
               if (cam["username"].get<string>() == "null") {
                   url = "rtsp://" + cam["ip"].get<string>() + ":554/axis-media/media.amp?tcp";
               }
               else {
                   url = "rtsp://" + cam["username"].get<string>() + ":" + cam["password"].get<string>() + "@" + cam["ip"].get<string>() + ":554/axis-media/media.amp?streamprofile=720_30";
               }
           }
       }

       return url;  // Dont forget to check for err when using this shit
    }


    string CamUtils::saveCamera(string ip, string username, string password) {
       UUID uid;
       UuidCreate(&amp;uid);
       char* str;
       UuidToStringA(&amp;uid, (RPC_CSTR*)&amp;str);
       string id = str;
       cout &lt;&lt; "GEN: " &lt;&lt; id &lt;&lt; endl;
       json cam = json({}); //Create emtpy object
       cam["id"] = id;
       cam["ip"] = ip;
       cam["username"] = username;
       cam["password"] = password;
       cameras["cameras"].push_back(cam);
       std::ofstream out(camDb);
       out &lt;&lt; cameras &lt;&lt; std::endl;
       cout &lt;&lt; cameras["cameras"] &lt;&lt; endl;

       cout &lt;&lt; "Saved camera as " &lt;&lt; id &lt;&lt; endl;
       return id;
    }


    bool CamUtils::dbExists() {
       ifstream dbFile(camDb);
       return (bool)dbFile;
    }





    void CamUtils::loadCameras() {
       cout &lt;&lt; "Load call" &lt;&lt; endl;
       ifstream dbFile(camDb);
       string line;
       string wholeFile;

       while (std::getline(dbFile, line)) {
           cout &lt;&lt; line &lt;&lt; endl;
           wholeFile += line;
       }
       try {
           cameras = json::parse(wholeFile);
           //cout &lt;&lt; cameras["cameras"] &lt;&lt; endl;

       }
       catch (exception e) {
           cout &lt;&lt; e.what() &lt;&lt; endl;
       }
       dbFile.close();
    }










    /*
       LEGACY CODE, TO BE REMOVED!

    */



    void CamUtils::loadCameras_() {
       /*
           LEGACY CODE:
           This used to be the way to load cameras, but I moved on to JSON based configuration so this is no longer needed and will be removed soon
       */

       ifstream dbFile(camDb);
       string line;
       while (std::getline(dbFile, line)) {
           /*
               This function load camera data to the map:
               The order MUST be the following: 0:ID, 1:IP, 2:USERNAME, 3:PASSWORD.
               Always delimited with | no spaces between!
           */
           if (!line.empty()) {
               stringstream ss(line);
               string item;
               vector<string> splitString;

               while (std::getline(ss, item, '|')) {
                   splitString.push_back(item);
               }
               if (splitString.size() > 0) {
                   /* Dont even parse if the program didnt split right*/
                   //cout &lt;&lt; "Split string: " &lt;&lt; splitString.size() &lt;&lt; "\n";
                   for (int i = 0; i &lt; (splitString.size()); i++) cameraList[splitString[0]].push_back(splitString[i]);
               }
           }
       }
    }



    void CamUtils::writeLineToDb_(const string &amp; content, bool append) {
       ofstream dbFile;
       cout &lt;&lt; "Creating?";
       if (append) {
           dbFile.open(camDb, ios_base::app);
       }
       else {
           dbFile.open(camDb);
       }

       dbFile &lt;&lt; content.c_str() &lt;&lt; "\r\n";
       dbFile.flush();
    }

    /* JSON Reworx */




    string CamUtils::generateRandomString(size_t length)
    {
       const char* charmap = "ABCDEFGHIJKLMNOPQRSTUVWXYZ";
       const size_t charmapLength = strlen(charmap);
       auto generator = [&amp;]() { return charmap[rand() % charmapLength]; };
       string result;
       result.reserve(length);
       generate_n(back_inserter(result), length, generator);
       return result;
    }
    </string></string></string></string></string></string></string></string></string></string></string></string></iostream>

    End of example

    How would I go about decreasing CPU usage when dealing with large amount of streams ?

  • 10 Key Google Analytics Limitations You Should Be Aware Of

    9 mai 2022, par Erin

    Google Analytics (GA) is the biggest player in the web analytics space. But is it as “universal” as its brand name suggests ?

    Over the years users have pointed out a number of major Google Analytics limitations. Many of these are even more visible in Google Analytics 4. 

    Introduced in 2020, Google Analytics 4 (GA4) has been sceptically received. As the sunset date of 1st, July 2023 for the current version, Google Universal Analytics (UA), approaches, the dismay grows stronger.

    To the point where people are pleading with others to intervene : 

    GA4 Elon Musk Tweet
    Source : Chris Tweten via Twitter

    Main limitations of Google Analytics

    Google Analytics 4 is advertised as a more privacy-centred, comprehensive and “intelligent” web analytics platform. 

    According to Google, the newest version touts : 

    • Machine learning at its core provides better segmentation and fast-track access to granular insights 
    • Privacy-by-design controls, addressing restrictions on cookies and new regulatory demands 
    • More complete understanding of customer journeys across channels and devices 

    Some of these claims hold true. Others crumble upon a deeper investigation. Newly advertised Google Analytics capabilities such as ‘custom events’, ‘predictive insights’ and ‘privacy consent mode’ only have marginal improvements. 

    Complex setup, poor UI and lack of support with migration also leave many other users frustrated with GA4. 

    Let’s unpack all the current (and legacy) limitations of Google Analytics you should account for. 

    1. No Historical Data Imports 

    Google rushed users to migrate from Universal Analytics to Google Analytics 4. But they overlooked one important precondition — backwards compatibility. 

    You have no way to import data from Google Universal Analytics to Google Analytics 4. 

    Historical records are essential for analysing growth trends and creating benchmarks for new marketing campaigns. Effectively, you are cut short from past insights — and forced to start strategising from scratch. 

    At present, Google offers two feeble solutions : 

    • Run data collection in parallel and have separate reporting for GA4 and UA until the latter is shut down. Then your UA records are gone. 
    • For Ecommerce data, manually duplicate events from UA at a new GA4 property while trying to figure out the new event names and parameters. 

    Google’s new data collection model is the reason for migration difficulties. 

    In Google Analytics 4, all analytics hits types — page hits, social hits, app/screen view, etc. — are recorded as events. Respectively, the “‘event’ parameter in GA4 is different from one in Google Universal Analytics as the company explains : 

    GA4 vs Universal Analytics event parameters
    Source : Google

    This change makes migration tedious — and Google offers little assistance with proper events and custom dimensions set up. 

    2. Data Collection Limits 

    If you’ve wrapped your head around new GA4 events, congrats ! You did a great job, but the hassle isn’t over. 

    You still need to pay attention to new Google Analytics limits on data collection for event parameters and user properties. 

    GA4 Event limits
    Source : Google

    These apply to :

    • Automatically collected events
    • Enhanced measurement events
    • Recommended events 
    • Custom events 

    When it comes to custom events, GA4 also has a limit of 25 custom parameters per event. Even though it seems a lot, it may not be enough for bigger websites. 

    You can get higher limits by upgrading to Google Analytics 360, but the costs are steep. 

    3. Limited GDPR Compliance 

    Google Analytics has a complex history with European GDPR compliance

    A 2020 ruling by the Court of Justice of the European Union (CJEU) invalidated the Privacy Shield framework Google leaned upon. This framework allowed the company to regulate EU-US data transfers of sensitive user data. 

    But after this loophole was closed, Google faced a heavy series of privacy-related fines :

    • French data protection authority, CNIL, ruled that  “the transfers to the US of personal data collected through Google Analytics are illegal” — and proceeded to fine Google for a record-setting €150 million at the beginning of 2022. 
    • Austrian regulators also deemed Google in breach of GDPR requirements and also branded the analytics as illegal. 

    Other EU-member states might soon proceed with similar rulings. These, in turn, can directly affect Google Analytics users, whose businesses could face brand damage and regulatory fines for non-compliance. In fact, companies cannot select where the collected analytics data will be stored — on European servers or abroad — nor can they obtain this information from Google.

    Getting a web analytics platform that allows you to keep data on your own servers or select specific Cloud locations is a great alternative. 

    Google also has been lax with its cookie consent policy and doesn’t properly inform consumers about data collection, storage or subsequent usage. Google Analytics 4 addresses this issue to an extent. 

    By default, GA4 relies on first-party cookies, instead of third-party ones — which is a step forward. But the user privacy controls are hard to configure without losing most of the GA4 functionality. Implementing user consent mode to different types of data collection also requires a heavy setup. 

    4. Strong Reliance on Sampled Data 

    To compensate for ditching third-party cookies, GA4 more heavily leans on sampled data and machine learning to fill the gaps in reporting. 

    In GA4 sampling automatically applies when you :

    • Perform advanced analysis such as cohort analysis, exploration, segment overlap or funnel analysis with not enough data 
    • Have over 10,000,000 data rows and generate any type of non-default report 

    Google also notes that data sampling can occur at lower thresholds when you are trying to get granular insights. If there’s not enough data or because Google thinks it’s too complex to retrieve. 

    In their words :

    Source : Google

    Data sampling adds “guesswork” to your reports, meaning you can’t be 100% sure of data accuracy. The divergence from actual data depends on the size and quality of sampled data. Again, this isn’t something you can control. 

    Unlike Google Analytics 4, Matomo applies no data sampling. Your reports are always accurate and fully representative of actual user behaviours. 

    5. No Proper Data Anonymization 

    Data anonymization allows you to collect basic analytics about users — visits, clicks, page views — but without personally identifiable information (or PII) such as geo-location, assigns tracking ID or other cookie-based data. 

    This reduced your ability to :

    • Remarket 
    • Identify repeating visitors
    • Do advanced conversion attribution 

    But you still get basic data from users who ignored or declined consent to data collection. 

    By default, Google Analytics 4 anonymizes all user IP addresses — an upgrade from UA. However, it still assigned a unique user ID to each user. These count as personal data under GDPR. 

    For comparison, Matomo provides more advanced privacy controls. You can anonymize :

    • Previously tracked raw data 
    • Visitor IP addresses
    • Geo-location information
    • User IDs 

    This can ensure compliance, especially if you operate in a sensitive industry — and delight privacy-mindful users ! 

    6. No Roll-Up Reporting

    Getting a bird’s-eye view of all your data is helpful when you need hotkey access to main sites — global traffic volume, user count or percentage of returning visitors.

    With Roll-Up Reporting, you can see global-performance metrics for multiple localised properties (.co.nz, .co.uk, .com, etc,) in one screen. Then zoom in on specific localised sites when you need to. 

    7. Report Processing Latency 

    The average data processing latency is 24-48 hours with Google Analytics. 

    Accounts with over 200,000 daily sessions get data refreshes only once a day. So you won’t be seeing the latest data on core metrics. This can be a bummer during one-day promo events like Black Friday or Cyber Monday when real-time information can prove to be game-changing ! 

    Matomo processes data with lower latency even for high-traffic websites. Currently, we have 6-24 hour latency for cloud deployments. On-premises web analytics can be refreshed even faster — within an hour or instantly, depending on the traffic volumes. 

    8. No Native Conversion Optimisation Features

    Google Analytics users have to use third-party tools to get deeper insights like how people are interacting with your webpage or call-to-action.

    You can use the free Google Optimize tool, but it comes with limits : 

    • No segmentation is available 
    • Only 10 simultaneous running experiments allowed 

    There isn’t a native integration between Google Optimize and Google Analytics 4. Instead, you have to manually link an Optimize Container to an analytics account. Also, you can’t select experiment dimensions in Google Analytics reports.

    What’s more, Google Optimize is a basic CRO tool, best suited for split testing (A/B testing) of copy, visuals, URLs and page layouts. If you want to get more advanced data, you need to pay for extra tools. 

    Matomo comes with a native set of built-in conversion optimization features : 

    • Heatmaps 
    • User session recording 
    • Sales funnel analysis 
    • A/B testing 
    • Form submission analytics 
    A/B test hypothesis testing on Matomo
    A/B test hypothesis testing on Matomo

    9. Deprecated Annotations

    Annotations come in handy when you need to provide extra context to other team members. For example, point out unusual traffic spikes or highlight a leak in the sales funnel. 

    This feature was available in Universal Analytics but is now gone in Google Analytics 4. But you can still quickly capture, comment and share knowledge with your team in Matomo. 

    You can add annotations to any graph that shows statistics over time including visitor reports, funnel analysis charts or running A/B tests. 

    10. No White Label Option 

    This might be a minor limitation of Google Analytics, but a tangible one for agency owners. 

    Offering an on-brand, embedded web analytics platform can elevate your customer experience. But white label analytics were never a thing with Google Analytics, unlike Matomo. 

    Wrap Up 

    Google set a high bar for web analytics. But Google Analytics inherent limitations around privacy, reporting and deployment options prompt more users to consider Google Analytics alternatives, like Matomo. 

    With Matomo, you can easily migrate your historical data records and store customer data locally or in a designated cloud location. We operate by a 100% unsampled data principle and provide an array of privacy controls for advanced compliance. 

    Start your 21-day free trial (no credit card required) to see how Matomo compares to Google Analytics ! 

  • Revision 34501 : Premier jet de la categorie statistique

    16 janvier 2010, par eric@… — Log

    Premier jet de la categorie statistique