QT-- dynamic flow of people monitoring system
Summary:
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The project uses a dynamic flow of people to monitor api Baidu's AI to human head and shoulders as the main objective to identify suitable for low-overhead, import and export scene, it can be used for statistical picture of the current number of locks and the number of passes
Item Function
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This project is divided into a camera module and an image recognition module
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The camera module
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Use the two button multiplexing, a slider
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Press to open the camera button, ready to start taking pictures, button becomes close camera button, and then click to turn off the camera.
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Before turning on the camera, start button can not be used.
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When you open the camera, press the start button, button becomes a Stop button, and began taking pictures, as is the dynamic monitoring of the flow of people, so the pumping frequency of Chen 5fps , is the need to upload five photos per second shooting, first need to open connections network, it may be a little slow.
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Click on the slide bar in the beginning before can not be used, when started taking pictures, you can drag the slider switch windows interface, enter the monitor interface
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Image recognition module
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Image recognition module may be taken by uploading a photo camera module network for human identification number to determine the number of images designated area at the designated area of the current, leaving the number of designated areas
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After upload pictures to the network returns the number of available values and rendering images displayed on the monitor screen
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The picture will appear in the rectangular box is locked after human head
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Left border for the specified area
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Upper left corner of the screen respectively, of the total number of locks , enter the total number of designated areas , the total number of people leaving the designated area
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The lower left corner to the open run number
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1. pro file
+ = QT Core Network Multimedia multimediawidgets GUI // Network will be added to HTTP communication // Multimedia multimediawidgets camera will increase
#ifndef WIDGET_H #define WIDGET_H #include <QWidget> #include <QCamera> #include <QCameraViewfinder> #include <QCameraImageCapture> #include <QTimer> #include <QNetworkAccessManager> #include <QNetworkReply> #include <QNetworkRequest> #include <QJsonObject> namespace Ui { class Widget; } class Widget : public QWidget { Q_OBJECT public: explicit Widget(QWidget *parent =nullptr a); ~ the Widget (); public : QTimer * Timer; Qcamera * Camera; // system camera apparatus QCameraViewfinder * Finder; // camera viewfinder QCameraImageCapture * Capture; // theme means the QImage Image; // save the photo BOOL Switch; // switch int the Position; // save the value of the slider the QImage IMG; // return to the photo int INS = 0 ; //The number entered int outs = 0 ; // leave the number of void Photo (); // pictures void Run the display (); // display void Photograph (); // camera initialize void cameraImageCaptured ( int the above mentioned id, QImage Image); // get photos / * ******************* network **************************** ********* * / QNetworkAccessManager * Manager; // network access manager QNetworkReply * reply; // network reply QNetworkRequest *requst; //网络请求 bool connection = false; void initialization(); //网络 void sendHTTP(); //发送请求 private slots: void on_pushButton_clicked(); void on_pushButton_2_clicked(); void on_horizontalSlider_sliderMoved(int position); private: Ui::Widget *ui; }; #endif // WIDGET_H
#include "widget.h" #include "ui_widget.h" #include <QBuffer> #include <QByteArray> #include <QImageReader> #include <QJsonDocument> #include <QJsonObject> #include <QThread> Widget::Widget(QWidget *parent) : QWidget(parent), ui(new Ui::Widget) { ui->setupUi(this); photograph(); //相机 initialization(); //网络 } Widget::~Widget() { delete ui; } //网络 void Widget::initialization() { manager = new QNetworkAccessManager(this); requst = new QNetworkRequest; QString request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/body_tracking"; //填入百度AI的请求URL QString toke = "24.6878d2808d1dd6be2a3a760c82d0979a.2592000.1570716999.282335-17208954"; // Fill access_token Baidu AI, specifically to see Baidu AI documents QString url = request_url + " access_token =? " + Toke; // note format requst-> setUrl (QUrl (url)); requst -> setHeader ( :: ContentTypeHeader QNetworkRequest, " file application / X-WWW-form-urlencoded " ); // head can not be incorrectly the Type-the Content Connect (Manager, & QNetworkAccessManager :: Finished, the this , [ =] (* QNetworkReply Reply) { the QByteArray Array= reply->readAll(); //获取信息 qDebug() << array; QJsonObject json1 = QJsonDocument::fromJson(array).object(); QString image = json1.value("image").toString(); QByteArray ba; //解析返回渲染图 ba.append(image); QByteArray ba1 = ba.fromBase64(ba); QBuffer buffer(&ba1); buffer.open(QIODevice::ReadOnly); QImageReader reader(&buffer,"jpg"); img = reader.read(); int person_num = json1.value("person_num").toInt(); QJsonObject object = json1.value("person_count").toObject(); qDebug() << object; int in = object.value("in").toInt(); int out = object.value("out") .toInt (); INS + = in ; outs + = OUT ; QString str = " Current number: " + QString :: Number The (person_num); // returns the number of ui-> label_2-> setText (str); QString str1 = " The number of entering: " + QString :: number The (INS); ui -> label_3-> setText (str1); QString str2 = " left number: " + QString :: number The (outs); ui -> label_4->setText(str2); }); } //发送请求 void Widget::sendHTTP() { QByteArray ba; QBuffer buf(&ba); Image.save(&buf, "jpg"); QByteArray SendData = ""; SendData.append("&dynamic=true"); //封装发送信息 SendData.append("&case_id=1"); SendData.append("&case_init=false"); SendData.append("&image="); SendData.append(ba.toBase64().toPercentEncoding()); SendData.append("&show=true"); SendData.append("&area=1,1,700,1,700,719,1,719"); qDebug() << SendData; manager->post(*requst,SendData); } //相机初始化 void Widget::photograph() { this->resize(640,450); //设置窗口大小 camera = newQcamera ( the this ); // system camera apparatus Finder = new new QCameraViewfinder ( the this ); // camera viewfinder member Capture = new new QCameraImageCapture (Camera); // screenshot member Timer = new new QTimer ( the this ); UI -> verticalLayout-> addWidget (Finder); // add layout is Finder ui-> label-> setMaximumSize ( 0 , 0 ); // set the initial size of the photo ui-> pushButton_2-> setEnabled ( to false ); Switch = false ; Position = 0 ; Connect (the Timer, & QTimer :: timeout, the this , & Widget :: Photo); // monitor timer Connect (Capture, & QCameraImageCapture :: imageCaptured, the this , & Widget :: cameraImageCaptured); / / image capturing the capture-> setCaptureDestination (QCameraImageCapture :: CaptureToFile); // set to capture the object CAMERA-> setCaptureMode (Qcamera :: CaptureStillImage); // camera configured to capture a still frame. camera-> setViewfinder (finder); // Set the finder } // camera void the Widget :: Photo () { Capture -> Capture (); // camera sendHTTP (); the display (); // display } // get the image void the Widget :: cameraImageCaptured ( int ID, the QImage Image) { Image = Image; } // open the camera void the Widget :: on_pushButton_clicked () { IF (! Switch) { camera -> Start (); // open the camera ui-> pushButton-> the setText ( " Close camera " ); UI -> pushButton_2-> setEnabled ( to true ); // Open Button Switch = to true ; } the else { Camera -> STOP (); UI -> pushButton-> the setText ( " turning on the camera " ); UI -> pushButton_2-> setEnabled ( to false ); Switch = to false ; // Connection = to false; } } // timer photographing void Widget::on_pushButton_2_clicked() { if(!timer->isActive()) { timer->start(200); ui->pushButton_2->setText("停止"); } else { timer->stop(); ui->pushButton_2->setText("开始"); } } //滑动切换 void Widget::on_horizontalSlider_sliderMoved(int position) { Position = position; display(); } //显示 void Widget::display() { ui->horizontalSlider->setMinimum(0); ui->horizontalSlider->setMaximum(this->width()); ui->label->setMaximumSize(Position * (16/9),Position); QPixmap pixmap = QPixmap::fromImage(img ); QPixmap fitpixmap = pixmap.scaled(Position * (16/9),Position, Qt::KeepAspectRatio, Qt::SmoothTransformation); // 按比例缩放 ui->label->setPixmap(fitpixmap); qDebug() << Position; }
4.widget.ui file
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The left empty as a control bureau
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Within the space on the right for a label
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The current number, enter the number of people leaving the number three label
5. Note
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QT compiled some version of the run, the following error can occur when connecting to the network
qt.network.ssl: QSslSocket::connectToHostEncrypted: TLS initialization failed1
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QT5.12 need to find the following two files in the installation directory QT
- Choose their own compiler and the same file, I was 64, just 64 of the selected file
