在一个项目中（配置类型：exe ），我已经实现了现成的相机校准代码found here。 （docs here）
在此代码中，有以下几行：
#include "stdafx.h"
#include "Settings.h"
using namespace cv;
using namespace std;
int main(int argc, char* argv[])
{
Settings s;
const string inputSettingsFile = argc > 1 ? argv[1] : "config.xml";
FileStorage fs(inputSettingsFile, FileStorage::READ); // Read the settings
fs["Settings"] >> s; // This works like a charm!
...
设置类非常简单，并且＆＃34;实现＆＃34; ＆＃34;阅读＆＃34; CV 重载＆gt;＆gt; 模板所需的功能。
void read(const FileNode& node)
{
node["BoardSize_Width"] >> boardSize.width;
node["BoardSize_Height"] >> boardSize.height;
...
立即，
我正在尝试在另一个项目中使用相同的类（配置类型：dll ），如下所示：
#include "stdafx.h"
#include "ReadCalibration.h"
#include "..\..\..\CamCalib\CamCalib\Settings.h" // this is the SAME file used above
using namespace std;
using namespace cv;
bool ReadCalibration::init(const string inputSettingsFile)
{
Settings se;
FileStorage fs(inputSettingsFile, FileStorage::READ); // Read the settings
fs["Settings"] >> se; // ERROR !!!
错误C2665＆＃39; cv :: read＆＃39 ;:14个重载中没有一个可以转换所有的 参数类型c：\ users \ kotsias \ documents \ visual studio 2015 \ projects \ opencv \ build \ include \ opencv2 \ core \ persistence.hpp 1169
在这两种情况下，都使用相同的源文件（ opencv2 \ core \ persistence.hpp ），因此不需要引用错误的opencv安装。
之前我没有碰过这件事，看起来像是黑魔法。我的错误产生项目中有什么我可以设置的错误吗？
以下是 设置 类（在一个项目中有效，在另一个项目中没有）：
#pragma once
#include <opencv2/core/core.hpp>
using namespace cv;
using namespace std;
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;
interpret();
}
void interpret()
{
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 (isListOfImages(input) && 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;
}
static bool isListOfImages(const string& filename)
{
string s(filename);
// Look for file extension
if (s.find(".xml") == string::npos && s.find(".yaml") == string::npos && s.find(".yml") == string::npos)
return false;
else
return true;
}
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;
};
答案 0 :(得分：0)
似乎我找到了罪魁祸首。在我的第一个项目中，声明了这个静态函数，显然，OpenCV的cv :: read（...）函数引用了（不知何故）。评论这个产生了同样的错误。
我想我应该在尝试进行花哨的语法化之前先研究一下这些文档。
checkurl=url=>url.replace("http://","").replace("https://","").replace("www.","").replace("youtu.be/","youtube.com?v=").slice(0,14)==="youtube.com?v=";
PS。像这样的东西让我质疑C ++作为一种语言的质量。发现这样的错误真是太模糊了。