c++ - 从 cpp 文件创建头文件 .h-6ren

c++ - 从 cpp 文件创建头文件 .h

转载作者：行者123 更新时间：2023-11-28 07:05:07

<分区>

我需要从 mainCalib.cpp 文件创建头文件 mainCalib.h

mainCalib.cpp 文件包括 opencv 的校准示例 ..

所以我终于可以从 main.cpp 文件中执行程序了:

这是 mainCalib.cpp 文件:

#include <iostream>
#include <sstream>
#include <time.h>
#include <stdio.h>

#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/calib3d/calib3d.hpp>
#include <opencv2/highgui/highgui.hpp>

#ifndef _CRT_SECURE_NO_WARNINGS
# define _CRT_SECURE_NO_WARNINGS
#endif

#include "mainCalib.h"
using namespace cv;
using namespace std;

 void help()
{
    cout <<  "This is a camera calibration sample." << endl
         <<  "Usage: calibration configurationFile"  << endl
         <<  "Near the sample file you'll find the configuration file, which has detailed help of "
             "how to edit it.  It may be any OpenCV supported file format XML/YAML." << endl;
}
class Settings
{
public:
    Settings() : goodInput(false) {}
    enum Pattern { NOT_EXISTING, CHESSBOARD, CIRCLES_GRID, ASYMMETRIC_CIRCLES_GRID };
    enum InputType {INVALID, CAMERA, VIDEO_FILE, IMAGE_LIST};

    void write(FileStorage& fs) const                        //Write serialization for this class
    {
        fs << "{" << "BoardSize_Width"  << boardSize.width
                  << "BoardSize_Height" << boardSize.height
                  << "Square_Size"         << squareSize
                  << "Calibrate_Pattern" << patternToUse
                  << "Calibrate_NrOfFrameToUse" << nrFrames
                  << "Calibrate_FixAspectRatio" << aspectRatio
                  << "Calibrate_AssumeZeroTangentialDistortion" << calibZeroTangentDist
                  << "Calibrate_FixPrincipalPointAtTheCenter" << calibFixPrincipalPoint

                  << "Write_DetectedFeaturePoints" << bwritePoints
                  << "Write_extrinsicParameters"   << bwriteExtrinsics
                  << "Write_outputFileName"  << outputFileName

                  << "Show_UndistortedImage" << showUndistorsed

                  << "Input_FlipAroundHorizontalAxis" << flipVertical
                  << "Input_Delay" << delay
                  << "Input" << input
           << "}";
    }
    void read(const FileNode& node)                          //Read serialization for this class
    {
        node["BoardSize_Width" ] >> boardSize.width;
        node["BoardSize_Height"] >> boardSize.height;
        node["Calibrate_Pattern"] >> patternToUse;
        node["Square_Size"]  >> squareSize;
        node["Calibrate_NrOfFrameToUse"] >> nrFrames;
        node["Calibrate_FixAspectRatio"] >> aspectRatio;
        node["Write_DetectedFeaturePoints"] >> bwritePoints;
        node["Write_extrinsicParameters"] >> bwriteExtrinsics;
        node["Write_outputFileName"] >> outputFileName;
        node["Calibrate_AssumeZeroTangentialDistortion"] >> calibZeroTangentDist;
        node["Calibrate_FixPrincipalPointAtTheCenter"] >> calibFixPrincipalPoint;
        node["Input_FlipAroundHorizontalAxis"] >> flipVertical;
        node["Show_UndistortedImage"] >> showUndistorsed;
        node["Input"] >> input;
        node["Input_Delay"] >> delay;
        interprate();
    }
     void interprate()
    {
        goodInput = true;
        if (boardSize.width <= 0 || boardSize.height <= 0)
        {
            cerr << "Invalid Board size: " << boardSize.width << " " << boardSize.height << endl;
            goodInput = false;
        }
        if (squareSize <= 10e-6)
        {
            cerr << "Invalid square size " << squareSize << endl;
            goodInput = false;
        }
        if (nrFrames <= 0)
        {
            cerr << "Invalid number of frames " << nrFrames << endl;
            goodInput = false;
        }

        if (input.empty())      // Check for valid input
                inputType = INVALID;
        else
        {
            if (input[0] >= '0' && input[0] <= '9')
            {
                stringstream ss(input);
                ss >> cameraID;
                inputType = CAMERA;
            }
            else
            {
                if (readStringList(input, imageList))
                    {
                        inputType = IMAGE_LIST;
                        nrFrames = (nrFrames < (int)imageList.size()) ? nrFrames : (int)imageList.size();
                    }
                else
                    inputType = VIDEO_FILE;
            }
            if (inputType == CAMERA)
                inputCapture.open(cameraID);
            if (inputType == VIDEO_FILE)
                inputCapture.open(input);
            if (inputType != IMAGE_LIST && !inputCapture.isOpened())
                    inputType = INVALID;
        }
        if (inputType == INVALID)
        {
            cerr << " Inexistent input: " << input;
            goodInput = false;
        }

        flag = 0;
        if(calibFixPrincipalPoint) flag |= CV_CALIB_FIX_PRINCIPAL_POINT;
        if(calibZeroTangentDist)   flag |= CV_CALIB_ZERO_TANGENT_DIST;
        if(aspectRatio)            flag |= CV_CALIB_FIX_ASPECT_RATIO;


        calibrationPattern = NOT_EXISTING;
        if (!patternToUse.compare("CHESSBOARD")) calibrationPattern = CHESSBOARD;
        if (!patternToUse.compare("CIRCLES_GRID")) calibrationPattern = CIRCLES_GRID;
        if (!patternToUse.compare("ASYMMETRIC_CIRCLES_GRID")) calibrationPattern = ASYMMETRIC_CIRCLES_GRID;
        if (calibrationPattern == NOT_EXISTING)
            {
                cerr << " Inexistent camera calibration mode: " << patternToUse << endl;
                goodInput = false;
            }
        atImageList = 0;

    }
    Mat nextImage()
    {
        Mat result;
        if( inputCapture.isOpened() )
        {
            Mat view0;
            inputCapture >> view0;
            view0.copyTo(result);
        }
        else if( atImageList < (int)imageList.size() )
            result = imread(imageList[atImageList++], CV_LOAD_IMAGE_COLOR);

        return result;
    }

    static bool readStringList( const string& filename, vector<string>& l )
    {
        l.clear();
        FileStorage fs(filename, FileStorage::READ);
        if( !fs.isOpened() )
            return false;
        FileNode n = fs.getFirstTopLevelNode();
        if( n.type() != FileNode::SEQ )
            return false;
        FileNodeIterator it = n.begin(), it_end = n.end();
        for( ; it != it_end; ++it )
            l.push_back((string)*it);
        return true;
    }
public:
    Size boardSize;            // The size of the board -> Number of items by width and height
    Pattern calibrationPattern;// One of the Chessboard, circles, or asymmetric circle pattern
    float squareSize;          // The size of a square in your defined unit (point, millimeter,etc).
    int nrFrames;              // The number of frames to use from the input for calibration
    float aspectRatio;         // The aspect ratio
    int delay;                 // In case of a video input
    bool bwritePoints;         //  Write detected feature points
    bool bwriteExtrinsics;     // Write extrinsic parameters
    bool calibZeroTangentDist; // Assume zero tangential distortion
    bool calibFixPrincipalPoint;// Fix the principal point at the center
    bool flipVertical;          // Flip the captured images around the horizontal axis
    string outputFileName;      // The name of the file where to write
    bool showUndistorsed;       // Show undistorted images after calibration
    string input;               // The input ->



    int cameraID;
    vector<string> imageList;
    int atImageList;
    VideoCapture inputCapture;
    InputType inputType;
    bool goodInput;
    int flag;

private:
    string patternToUse;


};

static void read(const FileNode& node, Settings& x, const Settings& default_value = Settings())
{
    if(node.empty())
        x = default_value;
    else
        x.read(node);
}

enum { DETECTION = 0, CAPTURING = 1, CALIBRATED = 2 };

bool runCalibrationAndSave(Settings& s, Size imageSize, Mat&  cameraMatrix, Mat& distCoeffs,
                           vector<vector<Point2f> > imagePoints );

int mainn(int argc, char* argv[])
{
    help();
    Settings s;
    const string inputSettingsFile = argc > 1 ? argv[1] : "D:\\e+v\\Projekte\\Calibration_Test1\\Calibration_Test1\\in_VID5.xml";
    FileStorage fs(inputSettingsFile, FileStorage::READ); // Read the settings
    if (!fs.isOpened())
    {
        cout << "Could not open the configuration file: \"" << inputSettingsFile << "\"" << endl;
        return -1;
    }
    fs["Settings"] >> s;
    fs.release();                                         // close Settings file

    if (!s.goodInput)
    {
        cout << "Invalid input detected. Application stopping. " << endl;
        return -1;
    }

    vector<vector<Point2f> > imagePoints;
    Mat cameraMatrix, distCoeffs;
    Size imageSize;
    int mode = s.inputType == Settings::IMAGE_LIST ? CAPTURING : DETECTION;
    clock_t prevTimestamp = 0;
    const Scalar RED(0,0,255), GREEN(0,255,0);
    const char ESC_KEY = 27;

    for(int i = 0;;++i)
    {
      Mat view;
      bool blinkOutput = false;

      view = s.nextImage();

      //-----  If no more image, or got enough, then stop calibration and show result -------------
      if( mode == CAPTURING && imagePoints.size() >= (unsigned)s.nrFrames )
      {
          if( runCalibrationAndSave(s, imageSize,  cameraMatrix, distCoeffs, imagePoints))
              mode = CALIBRATED;
          else
              mode = DETECTION;
      }
      if(view.empty())          // If no more images then run calibration, save and stop loop.
      {
            if( imagePoints.size() > 0 )
                runCalibrationAndSave(s, imageSize,  cameraMatrix, distCoeffs, imagePoints);
            break;
      }


        imageSize = view.size();  // Format input image.
        if( s.flipVertical )    flip( view, view, 0 );

        vector<Point2f> pointBuf;

        bool found;
        switch( s.calibrationPattern ) // Find feature points on the input format
        {
        case Settings::CHESSBOARD:
            found = findChessboardCorners( view, s.boardSize, pointBuf,
                CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_FAST_CHECK | CV_CALIB_CB_NORMALIZE_IMAGE);
            break;
        case Settings::CIRCLES_GRID:
            found = findCirclesGrid( view, s.boardSize, pointBuf );
            break;
        case Settings::ASYMMETRIC_CIRCLES_GRID:
            found = findCirclesGrid( view, s.boardSize, pointBuf, CALIB_CB_ASYMMETRIC_GRID );
            break;
        default:
            found = false;
            break;
        }

        if ( found)                // If done with success,
        {
              // improve the found corners' coordinate accuracy for chessboard
                if( s.calibrationPattern == Settings::CHESSBOARD)
                {
                    Mat viewGray;
                    cvtColor(view, viewGray, COLOR_BGR2GRAY);
                    cornerSubPix( viewGray, pointBuf, Size(11,11),
                        Size(-1,-1), TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 30, 0.1 ));
                }

                if( mode == CAPTURING &&  // For camera only take new samples after delay time
                    (!s.inputCapture.isOpened() || clock() - prevTimestamp > s.delay*1e-3*CLOCKS_PER_SEC) )
                {
                    imagePoints.push_back(pointBuf);
                    prevTimestamp = clock();
                    blinkOutput = s.inputCapture.isOpened();
                }

                // Draw the corners.
                drawChessboardCorners( view, s.boardSize, Mat(pointBuf), found );
        }

        //----------------------------- Output Text ------------------------------------------------
        string msg = (mode == CAPTURING) ? "100/100" :
                      mode == CALIBRATED ? "Calibrated" : "Press 'g' to start";
        int baseLine = 0;
        Size textSize = getTextSize(msg, 1, 1, 1, &baseLine);
        Point textOrigin(view.cols - 2*textSize.width - 10, view.rows - 2*baseLine - 10);

        if( mode == CAPTURING )
        {
            if(s.showUndistorsed)
                msg = format( "%d/%d Undist", (int)imagePoints.size(), s.nrFrames );
            else
                msg = format( "%d/%d", (int)imagePoints.size(), s.nrFrames );
        }

        putText( view, msg, textOrigin, 1, 1, mode == CALIBRATED ?  GREEN : RED);

        if( blinkOutput )
            bitwise_not(view, view);

        //------------------------- Video capture  output  undistorted ------------------------------
        if( mode == CALIBRATED && s.showUndistorsed )
        {
            Mat temp = view.clone();
            undistort(temp, view, cameraMatrix, distCoeffs);
        }

        //------------------------------ Show image and check for input commands -------------------
        imshow("Image View", view);
        char key = (char)waitKey(s.inputCapture.isOpened() ? 50 : s.delay);

        if( key  == ESC_KEY )
            break;

        if( key == 'u' && mode == CALIBRATED )
           s.showUndistorsed = !s.showUndistorsed;

        if( s.inputCapture.isOpened() && key == 'g' )
        {
            mode = CAPTURING;
            imagePoints.clear();
        }
    }

    // -----------------------Show the undistorted image for the image list ------------------------
    if( s.inputType == Settings::IMAGE_LIST && s.showUndistorsed )
    {
        Mat view, rview, map1, map2;
        initUndistortRectifyMap(cameraMatrix, distCoeffs, Mat(),
            getOptimalNewCameraMatrix(cameraMatrix, distCoeffs, imageSize, 1, imageSize, 0),
            imageSize, CV_16SC2, map1, map2);

        for(int i = 0; i < (int)s.imageList.size(); i++ )
        {
            view = imread(s.imageList[i], 1);
            if(view.empty())
                continue;
            remap(view, rview, map1, map2, INTER_LINEAR);
            imshow("Image View", rview);
            char c = (char)waitKey();
            if( c  == ESC_KEY || c == 'q' || c == 'Q' )
                break;
        }
    }


    return 0;
}

static double computeReprojectionErrors( const vector<vector<Point3f> >& objectPoints,
                                         const vector<vector<Point2f> >& imagePoints,
                                         const vector<Mat>& rvecs, const vector<Mat>& tvecs,
                                         const Mat& cameraMatrix , const Mat& distCoeffs,
                                         vector<float>& perViewErrors)
{
    vector<Point2f> imagePoints2;
    int i, totalPoints = 0;
    double totalErr = 0, err;
    perViewErrors.resize(objectPoints.size());

    for( i = 0; i < (int)objectPoints.size(); ++i )
    {
        projectPoints( Mat(objectPoints[i]), rvecs[i], tvecs[i], cameraMatrix,
                       distCoeffs, imagePoints2);
        err = norm(Mat(imagePoints[i]), Mat(imagePoints2), CV_L2);

        int n = (int)objectPoints[i].size();
        perViewErrors[i] = (float) std::sqrt(err*err/n);
        totalErr        += err*err;
        totalPoints     += n;
    }

    return std::sqrt(totalErr/totalPoints);
}

static void calcBoardCornerPositions(Size boardSize, float squareSize, vector<Point3f>& corners,
                                     Settings::Pattern patternType /*= Settings::CHESSBOARD*/)
{
    corners.clear();

    switch(patternType)
    {
    case Settings::CHESSBOARD:
    case Settings::CIRCLES_GRID:
        for( int i = 0; i < boardSize.height; ++i )
            for( int j = 0; j < boardSize.width; ++j )
                corners.push_back(Point3f(float( j*squareSize ), float( i*squareSize ), 0));
        break;

    case Settings::ASYMMETRIC_CIRCLES_GRID:
        for( int i = 0; i < boardSize.height; i++ )
            for( int j = 0; j < boardSize.width; j++ )
                corners.push_back(Point3f(float((2*j + i % 2)*squareSize), float(i*squareSize), 0));
        break;
    default:
        break;
    }
}

static bool runCalibration( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat& distCoeffs,
                            vector<vector<Point2f> > imagePoints, vector<Mat>& rvecs, vector<Mat>& tvecs,
                            vector<float>& reprojErrs,  double& totalAvgErr)
{

    cameraMatrix = Mat::eye(3, 3, CV_64F);
    if( s.flag & CV_CALIB_FIX_ASPECT_RATIO )
        cameraMatrix.at<double>(0,0) = 1.0;

    distCoeffs = Mat::zeros(8, 1, CV_64F);

    vector<vector<Point3f> > objectPoints(1);
    calcBoardCornerPositions(s.boardSize, s.squareSize, objectPoints[0], s.calibrationPattern);

    objectPoints.resize(imagePoints.size(),objectPoints[0]);

    //Find intrinsic and extrinsic camera parameters
    double rms = calibrateCamera(objectPoints, imagePoints, imageSize, cameraMatrix,
                                 distCoeffs, rvecs, tvecs, s.flag|CV_CALIB_FIX_K4|CV_CALIB_FIX_K5);

    cout << "Re-projection error reported by calibrateCamera: "<< rms << endl;

    bool ok = checkRange(cameraMatrix) && checkRange(distCoeffs);

    totalAvgErr = computeReprojectionErrors(objectPoints, imagePoints,
                                             rvecs, tvecs, cameraMatrix, distCoeffs, reprojErrs);

    return ok;
}

// Print camera parameters to the output file
static void saveCameraParams( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat& distCoeffs,
                              const vector<Mat>& rvecs, const vector<Mat>& tvecs,
                              const vector<float>& reprojErrs, const vector<vector<Point2f> >& imagePoints,
                              double totalAvgErr )
{
    FileStorage fs( s.outputFileName, FileStorage::WRITE );

    time_t tm;
    time( &tm );
    struct tm *t2 = localtime( &tm );
    char buf[1024];
    strftime( buf, sizeof(buf)-1, "%c", t2 );

    fs << "calibration_Time" << buf;

    if( !rvecs.empty() || !reprojErrs.empty() )
        fs << "nrOfFrames" << (int)std::max(rvecs.size(), reprojErrs.size());
    fs << "image_Width" << imageSize.width;
    fs << "image_Height" << imageSize.height;
    fs << "board_Width" << s.boardSize.width;
    fs << "board_Height" << s.boardSize.height;
    fs << "square_Size" << s.squareSize;

    if( s.flag & CV_CALIB_FIX_ASPECT_RATIO )
        fs << "FixAspectRatio" << s.aspectRatio;

    if( s.flag )
    {
        sprintf( buf, "flags: %s%s%s%s",
            s.flag & CV_CALIB_USE_INTRINSIC_GUESS ? " +use_intrinsic_guess" : "",
            s.flag & CV_CALIB_FIX_ASPECT_RATIO ? " +fix_aspectRatio" : "",
            s.flag & CV_CALIB_FIX_PRINCIPAL_POINT ? " +fix_principal_point" : "",
            s.flag & CV_CALIB_ZERO_TANGENT_DIST ? " +zero_tangent_dist" : "" );
        cvWriteComment( *fs, buf, 0 );

    }

    fs << "flagValue" << s.flag;

    fs << "Camera_Matrix" << cameraMatrix;
    fs << "Distortion_Coefficients" << distCoeffs;

    fs << "Avg_Reprojection_Error" << totalAvgErr;
    if( !reprojErrs.empty() )
        fs << "Per_View_Reprojection_Errors" << Mat(reprojErrs);

    if( !rvecs.empty() && !tvecs.empty() )
    {
        CV_Assert(rvecs[0].type() == tvecs[0].type());
        Mat bigmat((int)rvecs.size(), 6, rvecs[0].type());
        for( int i = 0; i < (int)rvecs.size(); i++ )
        {
            Mat r = bigmat(Range(i, i+1), Range(0,3));
            Mat t = bigmat(Range(i, i+1), Range(3,6));

            CV_Assert(rvecs[i].rows == 3 && rvecs[i].cols == 1);
            CV_Assert(tvecs[i].rows == 3 && tvecs[i].cols == 1);
            //*.t() is MatExpr (not Mat) so we can use assignment operator
            r = rvecs[i].t();
            t = tvecs[i].t();
        }
        cvWriteComment( *fs, "a set of 6-tuples (rotation vector + translation vector) for each view", 0 );
        fs << "Extrinsic_Parameters" << bigmat;
    }

    if( !imagePoints.empty() )
    {
        Mat imagePtMat((int)imagePoints.size(), (int)imagePoints[0].size(), CV_32FC2);
        for( int i = 0; i < (int)imagePoints.size(); i++ )
        {
            Mat r = imagePtMat.row(i).reshape(2, imagePtMat.cols);
            Mat imgpti(imagePoints[i]);
            imgpti.copyTo(r);
        }
        fs << "Image_points" << imagePtMat;
    }
}

bool runCalibrationAndSave(Settings& s, Size imageSize, Mat&  cameraMatrix, Mat& distCoeffs,vector<vector<Point2f> > imagePoints )
{
    vector<Mat> rvecs, tvecs;
    vector<float> reprojErrs;
    double totalAvgErr = 0;

    bool ok = runCalibration(s,imageSize, cameraMatrix, distCoeffs, imagePoints, rvecs, tvecs,
                             reprojErrs, totalAvgErr);
    cout << (ok ? "Calibration succeeded" : "Calibration failed")
        << ". avg re projection error = "  << totalAvgErr ;

    if( ok )
        saveCameraParams( s, imageSize, cameraMatrix, distCoeffs, rvecs ,tvecs, reprojErrs,
                            imagePoints, totalAvgErr);
    return ok;
}

这是 main.cpp 文件:

#include<iostream>
#include"mainCalib.h"
using namespace std;

int main()

{


    return 0;
}

所以请任何人帮我从 mainCalib.cpp 创建 mainCalib.h 文件的代码类和函数!

我试过如下，但我有很多错误:

mainCalib.h 文件:

void help();
class Settings;
static void read(const FileNode& , Settings& , const Settings& );
bool runCalibrationAndSave (Settings& s, Size imageSize, Mat&  cameraMatrix, Mat& distCoeffs, vector<vector<Point2f>> imagePoints);
int mainn(int argc, char* argv[])
static double computeReprojectionErrors( const vector<vector<Point3f> >& objectPoints,const vector<vector<Point2f> >& imagePoints,const vector<Mat>& rvecs, const vector<Mat>& tvecs,const Mat& cameraMatrix , const Mat& distCoeffs,vector<float>& perViewErrors);


static void calcBoardCornerPositions(cv::Size , float , vector<Point3f>& ,
                                     Settings::Pattern  /*= Settings::CHESSBOARD*/);

static bool runCalibration( Settings& s, Size& , Mat& , Mat& ,vector<vector<Point2f> > , vector<Mat>& , vector<Mat>& ,vector<float>& ,  double& );

static void saveCameraParams( Settings& , cv::Size& , Mat& , Mat& ,
                              const vector<Mat>& , const vector<Mat>& ,
                              const vector<float>& , const vector<vector<Point2f> >& ,
                              double );

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c - 《Algorithms in C part 1-4》p172 shellSort中的for(h=1;h<=(r-1)/9;h=h*3+1)循环是什么意思？
我正在研究来自 Sedgewick 的 Shell 排序 Algorithms in C part 1-4在第 172 页。我使用 size (数组的长度)，而不是 l和 r (开始和结束)；所以我
ubuntu - tk.h 在/usr/include 中查找 tcl.h，但 tcl.h 在/usr/include/tcl 中。我没有编写 tk.h 权限来修复代码
我在 macOS BigSur 上通过 VMWare 使用 Ubuntu 20.04.2 LTS。我安装了最新版本的 tcl、tcl-dev、tk 和 tk-dev - 版本 8.6。我想编译 Arc
opengl - OpenGL 文件 glew.h 和 gl.h/glu.h 之间的区别
我用我的 glu 和 gl 头文件构建了一个 OpenGL 程序，默认包含在 windows 7 专业版中。现在，我买了一本描述 OpenGL 游戏开发的书。这本书的作者说，我必须在我的项目中包含 g
elasticsearch - elasticsearch将 “H&R Blocks”标记为 “H”， “R”， “H&R”， “Blocks”
我想在 token 中保留特殊字符，同时仍对特殊字符进行 token 化。说我有话 "H&R Blocks" 我想将其标记为 "H", "R", "H&R", "Blocks" 我读了http://w
raku - Perl 6 : trans(%h) vs trans(%h. 键 => %h.values)
关于 hash 作为 trans 参数的另一个问题。在下面的代码中，简单地使用 hash 会给出不正确的结果，但是将其替换为 keys 和 values 会使其正确。怎么了？ my @alph1 =
c - Windows 的库 "X11/Xlib.h"、 "X11/Xutil.h"、 "unistd.h"
我已经编写了一个 C 程序，它获取屏幕像素的 RGB 值 (0-255)，并知道其位置 (x,y)。它可以在 Linux 中运行，但是当我尝试在 Visual Studio (Windows) 中编译
opengl - OpenGL 文件 glew.h 和 gl.h/glu.h 之间的区别
我已经使用 Windows 7 专业版中默认包含的 glu 和 gl 头文件构建了一个 OpenGL 程序。现在，我买了一本描述 OpenGL 游戏开发的书。这本书的作者说，我必须将glew head
c++ - G++ Linux 终端中的 ;; 问题
#include using namespace std; #include //#include int main() { initscr();
java - 显示与包含 h :form using a single h:message or h:messages? 相关的所有消息
h:messages h:form 内的组件还显示与外部组件相关的消息。如何限制它只显示与包含 h:form 内的组件相关的消息？我不喜欢用单独的h:message来使我的代码膨胀。每个输入组件的
c++ - 如何在 C++ 文件中包含 list.h、queue.h 和 vector.h 等头文件？
我下载了示例代码和 cpp 文件，其中包含 list.h、queue.h 和 vector.h 等头文件，如果我尝试构建，我会收到“ fatal error :没有这样的文件或目录编译终止”我想我应该
c++ - Windows Mobile 项目的 winnt.h、winbase.h 和 excpt.h 编译错误
我有一个编译成功的桌面项目，但是在我向项目添加新配置以支持 Windows Mobile 平台后，我收到以下错误: error C2146: syntax error : missing ';' be
c++ - zlib.h :34:19: fatal error: zconf. h:没有这样的文件或目录#include "zconf.h"
有很多关于这个错误的帖子，但我无法解决它，我希望你能拿出解决方案。我在 Ubuntu 机器上。 ~/graphmap2$ 在这个文件夹中，我下载了 zlib。可以看图经过一番谷歌搜索后，我还注意到没
c++ - 我可以在 Visual C++ 中使用 graph.h、dos.h 和 bios.h 吗？
是否可以在 Visual C++ 中使用以下 header : 图.h dos.h bios.h 最佳答案据我所知，无法在 Visual C++ 中使用它，与此同时，我希望您关注 Open Wat

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c++ - 从 cpp 文件创建头文件 .h