OpenCV calibrateCamera()断言失败
OpenCV calibrateCamera() Assertion failed
我已经尝试使用Opencv calibrateCamera()函数校准我的相机很长一段时间了。我遵循了opencv示例程序中描述的相同程序。我正在尝试首先加载10个9 x 6的棋盘图像。然后找到棋盘角。如果发现角,则角的像素位置被存储在向量<向量<Point2f>>图像点。对所有图像执行此操作后,将执行runCalibrationAndSave part。在runCalibrationAndSave中,执行第一个runCalibration部分,其中填充ObjectPoints(类型为vector<vector<Point3f>>)具有角的实际坐标值。到目前为止,代码运行良好,不会出现任何问题。棋盘角被精确地找到,并且ImagePoints矢量也被矢量填充。但当它进入calibrateCamera()部分时,OpenCV::断言失败,出现以下错误:
OpenCV错误:
断言失败(nimages>0&&nimages==(int)imagePoints1.total()&;(!imgPtMat2||nimages==(int)imagePoints2.total()))collectCalibrationData,文件//modules/calib3d/src/calibration.cpp,第3164行
我对同一个问题做了一些研究,发现这个问题通常发生在ObjectPoints向量和ImagePoints向量长度不相等或填充不正确的情况下。但在我的例子中,我已经在调试模式中检查了两个向量是否正确地填充了相等的长度。作为参考,我附上了在calibrateCamera()部分之前正确运行的代码部分,然后断言失败。
#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>
using namespace cv;
using namespace std;
class Settings
{public:
Size boardSize;
float squareSize;
};
bool runCalibrationAndSave(Settings& s, Size imageSize, Mat& cameraMatrix, Mat& distCoeffs,
vector<vector<Point2f> > imagePoints );
int main()
{
Settings s;
s.boardSize.width =9;
s.boardSize.height=6;
s.squareSize=50;
Mat cameraMatrix, distCoeffs;
Size imageSize;
char filename[512];
vector<vector<Point2f> > imagePoints;
for(int counter=0; counter<10; counter++)
{sprintf( filename, "chessboard%d.jpg", counter );
IplImage* img = cvLoadImage(filename);
cv::Mat& m = cv::cvarrToMat(img);
Mat pointBuf = Mat::zeros(54,2,CV_32FC1);
vector<Point2f> pointBuf_vec;
bool found=false;
found = findChessboardCorners( m,s.boardSize, pointBuf,CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_FAST_CHECK | CV_CALIB_CB_NORMALIZE_IMAGE);
if(found)
{
cout<<"check"<<endl;
Mat viewGray;
cvtColor(m, viewGray, CV_BGR2GRAY);
cornerSubPix( viewGray, pointBuf, Size(11 ,11),Size(-1,-1), TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 30, 0.1 ));
drawChessboardCorners( m, s.boardSize, Mat(pointBuf), found );
pointBuf_vec.clear();
for(int i=0;i<54;i++)
{
Point2f temp;
temp.x=pointBuf.at<float>(i,0);
temp.y=pointBuf.at<float>(i,1);
pointBuf_vec.push_back(temp);
}
imagePoints.push_back(pointBuf_vec);
}
imshow("Example1",m);
cvWaitKey();
imageSize = m.size();
}
runCalibrationAndSave(s, imageSize, cameraMatrix, distCoeffs, imagePoints);
return 0;
}
static void calcBoardCornerPositions(Size boardSize, float squareSize, vector<Point3f>& corners)
{
corners.clear();
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));
}
}
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;
Mat object_pointBuf = Mat::zeros(s.boardSize.width*s.boardSize.height,3,CV_32FC1);
vector<Point3f> object_pointBuf_vec;
calcBoardCornerPositions(s.boardSize, s.squareSize, object_pointBuf_vec);
for(int k=0;k<imagePoints.size();k++)
{
objectPoints.push_back(object_pointBuf_vec);
}
// 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;
}
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 ;
return ok;
}
我使用的是Visual C++和Opencv 2.4.9。请帮我解决这个问题。这是我第一次在SO中提问,如果我在提问中犯了任何错误,请告诉我。感谢您提前提供帮助。
我发现解决这个问题的唯一方法是下载OpenCV源代码,然后使用CMAKE和Visual Studio 2010构建它。现在使用cmake构建的库,消除了所有这些问题。还出现了与"imread"answers"imshow"相关的问题;当您从CMAKE构建openCV库时,这些问题也不会出现。有关如何从CMAKE构建库的信息,请查看此链接http://docs.opencv.org/doc/tutorials/introduction/windows_install/windows_install.html我希望这会有所帮助。
我刚刚遇到一个类似的问题,在使用MSVC 2013的calibrateCamera中,相同的校准代码崩溃了,尽管输入、计数匹配等看起来都很好,当我跳过异常时,图像确实进行了校准。
在我的案例中,问题是我使用的OpenCV编译库被编译为共享/DLL,而我的应用程序在静态库模式下使用它,所以在MSVC中更改为多线程调试DLL与多线程调试修复了它(/MTd与/MDd)。或者切换到OpenCV的静态构建。
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