#include "mainwindow.h"

#include <QApplication>

#include <opencv2/core/core.hpp>

#include <opencv2/highgui/highgui.hpp>

#include <opencv2/imgproc/imgproc.hpp>

using namespace cv;

int main(int argc, char *argv[])

{

    QApplication a(argc, argv);

	// 修改为自己的图片链接，使用绝对地址，使用 `\\` 区分，注意 `多` 一个，或 `少` 一个

    cv::Mat image = imread("D:\\Qt\\Project\\OpenCV_Test\\1.jpg");

    namedWindow("Display window",WINDOW_AUTOSIZE);

    imshow("Display window",image);

    waitKey(0);

    MainWindow w;

    w.show();

    return a.exec();

}

#include "mainwindow.h"

#include <QApplication>

#include <QDebug>

#include <QFileDialog>

#include <opencv2/highgui.hpp>

#include <opencv2/imgproc/imgproc.hpp>

using namespace cv;

int main(int argc, char *argv[])

{

    QApplication a(argc, argv);

    namedWindow("Display", WINDOW_AUTOSIZE);

    VideoCapture cap;

    cap.open("D:/Qt/Project/OpenCV_Test/Resources/test.mp4");

    if(cap.isOpened())

        qDebug()<<"Sucess!";

    else

        qDebug()<<"False!";

    Mat frame;

    for(;;)

    {

        cap >> frame;

        if(frame.empty())

            break;

        imshow("Display", frame);

        if(waitKey(33) >= 0)

            break;

    }

    return a.exec();

}

SOURCES += \

	    main.cpp \

    mainwindow.cpp \

        src/core/chars_identify.cpp \

    src/core/chars_recognise.cpp \

    src/core/chars_segment.cpp \

    src/core/core_func.cpp \

    src/core/feature.cpp \

    src/core/params.cpp \

    src/core/plate_detect.cpp \

    src/core/plate_judge.cpp \

    src/core/plate_locate.cpp \

    src/core/plate_recognize.cpp \

#    src/train/ann_train.cpp \

#    src/train/annCh_train.cpp \

#    src/train/create_data.cpp \

#    src/train/svm_train.cpp \

#    src/train/train.cpp \

    src/util/kv.cpp \

    src/util/program_options.cpp \

    src/util/util.cpp \

    thirdparty/LBP/helper.cpp \

    thirdparty/LBP/lbp.cpp \

    thirdparty/mser/mser2.cpp \

    thirdparty/svm/corrected_svm.cpp \

    thirdparty/textDetect/erfilter.cpp \

    thirdparty/xmlParser/xmlParser.cpp

HEADERS += \

    car.h \

    mainwindow.h \

    signup.h \

    mysql.h \

    initfile.h\

    include/easypr/core/character.hpp \

    include/easypr/core/chars_identify.h \

    include/easypr/core/chars_recognise.h \

    include/easypr/core/chars_segment.h \

    include/easypr/core/core_func.h \

    include/easypr/core/feature.h \

    include/easypr/core/params.h \

    include/easypr/core/plate.hpp \

    include/easypr/core/plate_detect.h \

    include/easypr/core/plate_judge.h \

    include/easypr/core/plate_locate.h \

    include/easypr/core/plate_recognize.h \

#    include/easypr/train/ann_train.h \

#    include/easypr/train/annCh_train.h \

#    include/easypr/train/create_data.h \

#    include/easypr/train/svm_train.h \

#    include/easypr/train/train.h \

    include/easypr/util/kv.h \

    include/easypr/util/program_options.h \

    include/easypr/util/switch.hpp \

    include/easypr/util/util.h \

    include/easypr/api.hpp \

    include/easypr/config.h \

    include/easypr/version.h \

    include/easypr.h \

#    test/accuracy.hpp \

#    test/chars.hpp \

#    test/config.hpp \

#    test/plate.hpp \

#    test/result.hpp \

    thirdparty/LBP/helper.hpp \

    thirdparty/LBP/lbp.hpp \

    thirdparty/mser/mser2.hpp \

    thirdparty/svm/precomp.hpp \

    thirdparty/textDetect/erfilter.hpp \

    thirdparty/xmlParser/xmlParser.h

# 引入easyPR所需要的依赖

DISTFILES += \

#    resources/train/ann.7z \

#    resources/train/annCh.7z \

#    resources/train/annGray.7z \

#    resources/train/svm.7z \

    model/ann.xml \

    model/ann_chinese.xml \

    model/annCh.xml \

    model/svm_hist.xml \

#    resources/image/general_test/GroundTruth_others.xml \

#    resources/image/general_test/GroundTruth_windows.xml \

#    resources/image/native_test/GroundTruth_others.xml \

#    resources/image/native_test/GroundTruth_windows.xml \

#    resources/result/Result.xml \

#    resources/text/chinese_mapping \

#    resources/text/dev_team \

#    resources/text/province_mapping \

#    resources/text/thanks \

#    resources/text/batch_test_menu \

#    resources/text/main_menu \

#    resources/text/test_menu \

#    resources/text/train_menu

#define CV_VERSION_THREE_TWO

static const char* kDefaultSvmPath = "E://Cstudy//QT//QT_exercise//easyPR//easypr2//model/svm_hist.xml";

static const char* kLBPSvmPath = "E://Cstudy//QT//QT_exercise//easyPR//easypr2//model/svm_lbp.xml";

static const char* kHistSvmPath = "E://Cstudy//QT//QT_exercise//easyPR//easypr2//model/svm_hist.xml";

static const char* kDefaultAnnPath = "E://Cstudy//QT//QT_exercise//easyPR//easypr2//model/ann.xml";

static const char* kChineseAnnPath = "E://Cstudy//QT//QT_exercise//easyPR//easypr2//model/ann_chinese.xml";

static const char* kGrayAnnPath = "E://Cstudy//QT//QT_exercise//easyPR//easypr2//model/annCh.xml";

//This is important to for key transform to chinese

static const char* kChineseMappingPath = "E://Cstudy//QT//QT_exercise//easyPR//easypr2//model/province_mapping";

#include <QCoreApplication>

#include <opencv2/opencv.hpp>

#include "include/easypr.h"

#include <QDebug>

using namespace easypr;

int main(int argc, char *argv[])

{

    QCoreApplication a(argc, argv);

    qDebug()<<"加载断点";

    // 1. 加载车牌识别模型

    CPlateRecognize pr;

    pr.LoadSVM("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//svm_hist.xml");

    qDebug()<<"AVM";

    pr.LoadANN("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//ann.xml");

    qDebug()<<"ANN";

    pr.LoadChineseANN("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//ann_chinese.xml");

    qDebug()<<"ChineseANN";

    // new in v1.6

    pr.LoadGrayChANN("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//annCh.xml");

    pr.LoadChineseMapping("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//province_mapping");

    // 2. 读入待识别的车牌图片

    cv::Mat src = cv::imread("D://car.png");

    // 3. 车牌识别

    std::vector<CPlate> plates;

    pr.plateRecognize(src, plates);

    // 4. 输出识别结果

    for (auto plate : plates) {

        std::cout << "plate: " << plate.getPlateStr() << std::endl;

    }

    return a.exec();

}

#include <opencv2/opencv.hpp>

#include "include/easypr.h"

#include <QDebug>

using namespace easypr;

// 1. 加载车牌识别模型

    CPlateRecognize pr;

// 加载模型

pr.LoadSVM("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//svm_hist.xml");

    qDebug()<<"AVM";

    pr.LoadANN("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//ann.xml");

    qDebug()<<"ANN";

    pr.LoadChineseANN("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//ann_chinese.xml");

    qDebug()<<"ChineseANN";

    // new in v1.6

    pr.LoadGrayChANN("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//annCh.xml");

    pr.LoadChineseMapping("E://Cstudy//QT//QT_exercise//easyPR//easypr2//model//province_mapping");

// 如果摄像头播放

    if(camera->state() == QCamera::ActiveState)

    {

        camera->setCaptureMode(QCamera::CaptureStillImage);  // 捕获图片

        // 弹出标准对话框

        //QString fileName = QFileDialog::getSaveFileName (nullptr, QString (), QString (), QString (), nullptr, QFileDialog::DontConfirmOverwrite); // 保存的文件名字

        imageCapture = new QCameraImageCapture(camera);  // 创建一个用于捕获图片的对象

      // 当摄像头成功捕获一张图片后进行车牌识别

      connect(imageCapture, &QCameraImageCapture::imageCaptured, this, [=](int /*id*/, const QImage& img)

      {

          Mat src;

          Mat rgbImg;

          //src = Mat(img.height(), img.width(), CV_8UC4, (uchar*)img.bits(), img.bytesPerLine()).clone();

          src = Mat(img.height(), img.width(), CV_8UC4, const_cast<unsigned char*>(img.bits()), static_cast<size_t>(img.bytesPerLine())).clone();

          cvtColor(src, rgbImg, CV_BGRA2RGB);  // 将 OpenCV 中颜色通道排列方式与 Qt 中不同的图片格式转换为 Qt 中正常的图片格式

          //QImage qImg(rgbImg.data, rgbImg.cols, rgbImg.rows, rgbImg.step, QImage::Format_RGB888);

          QImage qImg(rgbImg.data, rgbImg.cols, rgbImg.rows, static_cast<int>(rgbImg.step), QImage::Format_RGB888);

          // 缩放图片到指定大小

          QSize newSize(200,100);

          QImage scaledImg = qImg.scaled(newSize,Qt::KeepAspectRatio);

          // 使用 easyPR 获取车牌信息

          std::vector<easypr::CPlate> plates;

          m_plateRecognize.plateRecognize(rgbImg,plates,0);

          for (auto plate : plates) {

              std::cout << "plate: " << plate.getPlateStr() << std::endl;

          }

          qDebug()<<"内部输出";

          if(plates.size()>0)

          {

              // 显示车牌图片和号码

              easypr::CPlate plate = plates[0];

              Mat plateImg = plate.getPlateMat();

              QImage qPlateImg(plateImg.data,plateImg.cols,plateImg.rows,static_cast<int>(plateImg.step), QImage::Format_RGB888);

              ui->screen_label->setPixmap(QPixmap::fromImage(qPlateImg));

              QString plateStr = QString::fromLocal8Bit(plate.getPlateStr().c_str());

              // 获取车牌号码的部分字符串

              QStringList list = plateStr.split(":");

              if (list.size() >= 2) {

                  plateStr = list[1].trimmed();

              }

              ui->Car_idinput->setText(plateStr);

              ui->Car_output->setText(plateStr);

              qDebug()<<plateStr;

              std::cout << "plate: " << plate.getPlateStr() << std::endl;

          }

      });

        // 开始进行捕获

        imageCapture->capture(fileName);  // 捕获图片，保存到要保存的目录为上面对话框设定的目录

    }