opencv/modules/calib3d/test/test_cameracalibration_badarg.cpp

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#include "test_precomp.hpp"
#include "test_chessboardgenerator.hpp"
#include "opencv2/core/types_c.h"
namespace opencv_test { namespace {
class CV_CameraCalibrationBadArgTest : public cvtest::BadArgTest
{
public:
CV_CameraCalibrationBadArgTest() {}
~CV_CameraCalibrationBadArgTest() {}
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protected:
void run(int);
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void run_func(void) {}
struct C_Caller
{
_InputArray imgPts_arg;
_InputArray objPts_arg;
_OutputArray rvecs_arg;
_OutputArray tvecs_arg;
_OutputArray newObjPts_arg;
_InputOutputArray cameraMatrix_arg;
_InputOutputArray distCoeffs_arg;
std::vector<std::vector<Point2f> > imgPts;
std::vector<std::vector<Point3f> > objPts;
Size imageSize0, imageSize;
int iFixedPoint0, iFixedPoint;
Mat cameraMatrix;
Mat distCoeffs;
std::vector<Mat> rvecs;
std::vector<Mat> tvecs;
std::vector<Point3f> newObjPts;
int flags0, flags;
void initArgs()
{
imgPts_arg = imgPts;
objPts_arg = objPts;
rvecs_arg = rvecs;
tvecs_arg = tvecs;
newObjPts_arg = newObjPts;
cameraMatrix_arg = cameraMatrix;
distCoeffs_arg = distCoeffs;
imageSize = imageSize0;
flags = flags0;
iFixedPoint = iFixedPoint0;
}
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void operator()() const
{
calibrateCameraRO(objPts_arg, imgPts_arg, imageSize, iFixedPoint,
cameraMatrix_arg, distCoeffs_arg, rvecs_arg, tvecs_arg,
newObjPts_arg, flags);
}
};
};
void CV_CameraCalibrationBadArgTest::run( int /* start_from */ )
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{
const int M = 2;
Size imgSize(800, 600);
Mat_<float> camMat(3, 3);
Mat_<float> distCoeffs0(1, 5);
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camMat << 300.f, 0.f, imgSize.width/2.f, 0, 300.f, imgSize.height/2.f, 0.f, 0.f, 1.f;
distCoeffs0 << 1.2f, 0.2f, 0.f, 0.f, 0.f;
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ChessBoardGenerator cbg(Size(8,6));
Size corSize = cbg.cornersSize();
vector<Point2f> corners;
cbg(Mat(imgSize, CV_8U, Scalar(0)), camMat, distCoeffs0, corners);
C_Caller caller;
caller.imageSize0 = imgSize;
caller.iFixedPoint0 = -1;
caller.flags0 = 0;
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/////////////////////////////
Mat cameraMatrix_cpp;
Mat distCoeffs_cpp;
Mat rvecs_cpp;
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Mat tvecs_cpp;
Merge pull request #12772 from xoox:calib-release-object More accurate pinhole camera calibration with imperfect planar target (#12772) 43 commits: * Add derivatives with respect to object points Add an output parameter to calculate derivatives of image points with respect to 3D coordinates of object points. The output jacobian matrix is a 2Nx3N matrix where N is the number of points. This commit introduces incompatibility to old function signature. * Set zero for dpdo matrix before using dpdo is a sparse matrix with only non-zero value close to major diagonal. Set it to zero because only elements near major diagonal are computed. * Add jacobian columns to projectPoints() The output jacobian matrix of derivatives with respect to coordinates of 3D object points are added. This might break callers who assume the columns of jacobian matrix. * Adapt test code to updated project functions The test cases for projectPoints() and cvProjectPoints2() are updated to fit new function signatures. * Add accuracy test code for dpdo * Add badarg test for dpdo * Add new enum item for new calibration method CALIB_RELEASE_OBJECT is used to whether to release 3D coordinates of object points. The method was proposed in: K. H. Strobl and G. Hirzinger. "More Accurate Pinhole Camera Calibration with Imperfect Planar Target". In Proceedings of the IEEE International Conference on Computer Vision (ICCV 2011), 1st IEEE Workshop on Challenges and Opportunities in Robot Perception, Barcelona, Spain, pp. 1068-1075, November 2011. * Add releasing object method into internal function It's a simple extension of the standard calibration scheme. We choose to fix the first and last object point and a user-selected fixed point. * Add interfaces for extended calibration method * Refine document for calibrateCamera() When releasing object points, only the z coordinates of the objectPoints[0].back is fixed. * Add link to strobl2011iccv paper * Improve documentation for calibrateCamera() * Add implementations of wrapping calibrateCamera() * Add checking for params of new calibration method If input parameters are not qualified, then fall back to standard calibration method. * Add camera calibration method of releasing object The current implementation is equal to or better than https://github.com/xoox/calibrel * Update doc for CALIB_RELEASE_OBJECT CALIB_USE_QR or CALIB_USE_LU could be used for faster calibration with potentially less precise and less stable in some rare cases. * Add RELEASE_OBJECT calibration to tutorial code To select the calibration method of releasing object points, a command line parameter `-d=<number>` should be provided. * Update tutorial doc for camera_calibration If the method of releasing object points is merged into OpenCV. It will be expected to be firstly released in 4.1, I think. * Reduce epsilon for cornerSubPix() Epsilon of 0.1 is a bigger one. Preciser corner positions are required with calibration method of releasing object. * Refine camera calibration tutorial The hypothesis coordinates are used to indicate which distance must be measured between two specified object points. * Update sample calibration code method selection Similar to camera_calibration tutorial application, a command line argument `-dt=<number>` is used to select the calibration method. * Add guard to flags of cvCalibrateCamera2() cvCalibrateCamera2() doesn't accept CALIB_RELEASE_OBJECT unless overload interface is added in the future. * Simplify fallback when iFixedPoint is out of range * Refactor projectPoints() to keep compatibilities * Fix arg string "Bad rvecs header" * Read calibration flags from test data files Instead of being hard coded into source file, the calibration flags will be read from test data files. opencv_extra/testdata/cv/cameracalibration/calib?.dat must be sync with the test code. * Add new C interface of cvCalibrateCamera4() With this new added C interface, the extended calibration method with CALIB_RELEASE_OBJECT can be called by C API. * Add regression test of extended calibration method It has been tested with new added test data in xoox:calib-release-object branch of opencv_extra. * Fix assertion in test_cameracalibration.cpp The total number of refined 3D object coordinates is checked. * Add checker for iFixedPoint in cvCalibrateCamera4 If iFixedPoint is out of rational range, fall back to standard method. * Fix documentation for overloaded calibrateCamera() * Remove calibration flag of CALIB_RELEASE_OBJECT The method selection is based on the range of the index of fixed point. For minus values, standard calibration method will be chosen. Values in a rational range will make the object-releasing calibration method selected. * Use new interfaces instead of function overload Existing interfaces are preserved and new interfaces are added. Since most part of the code base are shared, calibrateCamera() is now a wrapper function of calibrateCameraRO(). * Fix exported name of calibrateCameraRO() * Update documentation for calibrateCameraRO() The circumstances where this method is mostly helpful are described. * Add note on the rigidity of the calibration target * Update documentation for calibrateCameraRO() It is clarified that iFixedPoint is used as a switch to select calibration method. If input data are not qualified, exceptions will be thrown instead of fallback scheme. * Clarify iFixedPoint as switch and remove fallback iFixedPoint is now used as a switch for calibration method selection. No fallback scheme is utilized anymore. If the input data are not qualified, exceptions will be thrown. * Add badarg test for object-releasing method * Fix document format of sample list List items of same level should be indented the same way. Otherwise they will be formatted as nested lists by Doxygen. * Add brief intro for objectPoints and imagePoints * Sync tutorial to sample calibration code * Update tutorial compatibility version to 4.0
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Mat newObjPts_cpp;
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std::vector<Point3f> objPts_cpp;
for(int y = 0; y < corSize.height; ++y)
for(int x = 0; x < corSize.width; ++x)
objPts_cpp.push_back(Point3f((float)x, (float)y, 0.f));
caller.objPts.resize(M);
caller.imgPts.resize(M);
Merge pull request #12772 from xoox:calib-release-object More accurate pinhole camera calibration with imperfect planar target (#12772) 43 commits: * Add derivatives with respect to object points Add an output parameter to calculate derivatives of image points with respect to 3D coordinates of object points. The output jacobian matrix is a 2Nx3N matrix where N is the number of points. This commit introduces incompatibility to old function signature. * Set zero for dpdo matrix before using dpdo is a sparse matrix with only non-zero value close to major diagonal. Set it to zero because only elements near major diagonal are computed. * Add jacobian columns to projectPoints() The output jacobian matrix of derivatives with respect to coordinates of 3D object points are added. This might break callers who assume the columns of jacobian matrix. * Adapt test code to updated project functions The test cases for projectPoints() and cvProjectPoints2() are updated to fit new function signatures. * Add accuracy test code for dpdo * Add badarg test for dpdo * Add new enum item for new calibration method CALIB_RELEASE_OBJECT is used to whether to release 3D coordinates of object points. The method was proposed in: K. H. Strobl and G. Hirzinger. "More Accurate Pinhole Camera Calibration with Imperfect Planar Target". In Proceedings of the IEEE International Conference on Computer Vision (ICCV 2011), 1st IEEE Workshop on Challenges and Opportunities in Robot Perception, Barcelona, Spain, pp. 1068-1075, November 2011. * Add releasing object method into internal function It's a simple extension of the standard calibration scheme. We choose to fix the first and last object point and a user-selected fixed point. * Add interfaces for extended calibration method * Refine document for calibrateCamera() When releasing object points, only the z coordinates of the objectPoints[0].back is fixed. * Add link to strobl2011iccv paper * Improve documentation for calibrateCamera() * Add implementations of wrapping calibrateCamera() * Add checking for params of new calibration method If input parameters are not qualified, then fall back to standard calibration method. * Add camera calibration method of releasing object The current implementation is equal to or better than https://github.com/xoox/calibrel * Update doc for CALIB_RELEASE_OBJECT CALIB_USE_QR or CALIB_USE_LU could be used for faster calibration with potentially less precise and less stable in some rare cases. * Add RELEASE_OBJECT calibration to tutorial code To select the calibration method of releasing object points, a command line parameter `-d=<number>` should be provided. * Update tutorial doc for camera_calibration If the method of releasing object points is merged into OpenCV. It will be expected to be firstly released in 4.1, I think. * Reduce epsilon for cornerSubPix() Epsilon of 0.1 is a bigger one. Preciser corner positions are required with calibration method of releasing object. * Refine camera calibration tutorial The hypothesis coordinates are used to indicate which distance must be measured between two specified object points. * Update sample calibration code method selection Similar to camera_calibration tutorial application, a command line argument `-dt=<number>` is used to select the calibration method. * Add guard to flags of cvCalibrateCamera2() cvCalibrateCamera2() doesn't accept CALIB_RELEASE_OBJECT unless overload interface is added in the future. * Simplify fallback when iFixedPoint is out of range * Refactor projectPoints() to keep compatibilities * Fix arg string "Bad rvecs header" * Read calibration flags from test data files Instead of being hard coded into source file, the calibration flags will be read from test data files. opencv_extra/testdata/cv/cameracalibration/calib?.dat must be sync with the test code. * Add new C interface of cvCalibrateCamera4() With this new added C interface, the extended calibration method with CALIB_RELEASE_OBJECT can be called by C API. * Add regression test of extended calibration method It has been tested with new added test data in xoox:calib-release-object branch of opencv_extra. * Fix assertion in test_cameracalibration.cpp The total number of refined 3D object coordinates is checked. * Add checker for iFixedPoint in cvCalibrateCamera4 If iFixedPoint is out of rational range, fall back to standard method. * Fix documentation for overloaded calibrateCamera() * Remove calibration flag of CALIB_RELEASE_OBJECT The method selection is based on the range of the index of fixed point. For minus values, standard calibration method will be chosen. Values in a rational range will make the object-releasing calibration method selected. * Use new interfaces instead of function overload Existing interfaces are preserved and new interfaces are added. Since most part of the code base are shared, calibrateCamera() is now a wrapper function of calibrateCameraRO(). * Fix exported name of calibrateCameraRO() * Update documentation for calibrateCameraRO() The circumstances where this method is mostly helpful are described. * Add note on the rigidity of the calibration target * Update documentation for calibrateCameraRO() It is clarified that iFixedPoint is used as a switch to select calibration method. If input data are not qualified, exceptions will be thrown instead of fallback scheme. * Clarify iFixedPoint as switch and remove fallback iFixedPoint is now used as a switch for calibration method selection. No fallback scheme is utilized anymore. If the input data are not qualified, exceptions will be thrown. * Add badarg test for object-releasing method * Fix document format of sample list List items of same level should be indented the same way. Otherwise they will be formatted as nested lists by Doxygen. * Add brief intro for objectPoints and imagePoints * Sync tutorial to sample calibration code * Update tutorial compatibility version to 4.0
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for(int i = 0; i < M; i++)
{
caller.objPts[i] = objPts_cpp;
caller.imgPts[i] = corners;
}
caller.cameraMatrix.create(3, 3, CV_32F);
caller.distCoeffs.create(5, 1, CV_32F);
caller.rvecs.clear();
caller.tvecs.clear();
caller.newObjPts.clear();
/* /*//*/ */
int errors = 0;
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caller.initArgs();
caller.objPts_arg = noArray();
errors += run_test_case( CV_StsBadArg, "None passed in objPts", caller);
caller.initArgs();
caller.imgPts_arg = noArray();
errors += run_test_case( CV_StsBadArg, "None passed in imgPts", caller );
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caller.initArgs();
caller.cameraMatrix_arg = noArray();
errors += run_test_case( CV_StsBadArg, "Zero passed in cameraMatrix", caller );
caller.initArgs();
caller.distCoeffs_arg = noArray();
errors += run_test_case( CV_StsBadArg, "Zero passed in distCoeffs", caller );
caller.initArgs();
caller.imageSize.width = -1;
errors += run_test_case( CV_StsOutOfRange, "Bad image width", caller );
caller.initArgs();
caller.imageSize.height = -1;
errors += run_test_case( CV_StsOutOfRange, "Bad image height", caller );
caller.initArgs();
caller.imgPts[0].clear();
errors += run_test_case( CV_StsUnsupportedFormat, "Bad imgpts[0]", caller );
caller.imgPts[0] = caller.imgPts[1];
caller.initArgs();
caller.objPts[1].clear();
errors += run_test_case( CV_StsUnsupportedFormat, "Bad objpts[1]", caller );
caller.objPts[1] = caller.objPts[0];
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caller.initArgs();
Mat badCM = Mat::zeros(4, 4, CV_64F);
caller.cameraMatrix_arg = badCM;
caller.flags = CALIB_USE_INTRINSIC_GUESS;
errors += run_test_case( CV_StsBadArg, "Bad camearaMatrix header", caller );
caller.initArgs();
Mat badDC = Mat::zeros(10, 10, CV_64F);
caller.distCoeffs_arg = badDC;
caller.flags = CALIB_USE_INTRINSIC_GUESS;
errors += run_test_case( CV_StsBadArg, "Bad camearaMatrix header", caller );
Merge pull request #12772 from xoox:calib-release-object More accurate pinhole camera calibration with imperfect planar target (#12772) 43 commits: * Add derivatives with respect to object points Add an output parameter to calculate derivatives of image points with respect to 3D coordinates of object points. The output jacobian matrix is a 2Nx3N matrix where N is the number of points. This commit introduces incompatibility to old function signature. * Set zero for dpdo matrix before using dpdo is a sparse matrix with only non-zero value close to major diagonal. Set it to zero because only elements near major diagonal are computed. * Add jacobian columns to projectPoints() The output jacobian matrix of derivatives with respect to coordinates of 3D object points are added. This might break callers who assume the columns of jacobian matrix. * Adapt test code to updated project functions The test cases for projectPoints() and cvProjectPoints2() are updated to fit new function signatures. * Add accuracy test code for dpdo * Add badarg test for dpdo * Add new enum item for new calibration method CALIB_RELEASE_OBJECT is used to whether to release 3D coordinates of object points. The method was proposed in: K. H. Strobl and G. Hirzinger. "More Accurate Pinhole Camera Calibration with Imperfect Planar Target". In Proceedings of the IEEE International Conference on Computer Vision (ICCV 2011), 1st IEEE Workshop on Challenges and Opportunities in Robot Perception, Barcelona, Spain, pp. 1068-1075, November 2011. * Add releasing object method into internal function It's a simple extension of the standard calibration scheme. We choose to fix the first and last object point and a user-selected fixed point. * Add interfaces for extended calibration method * Refine document for calibrateCamera() When releasing object points, only the z coordinates of the objectPoints[0].back is fixed. * Add link to strobl2011iccv paper * Improve documentation for calibrateCamera() * Add implementations of wrapping calibrateCamera() * Add checking for params of new calibration method If input parameters are not qualified, then fall back to standard calibration method. * Add camera calibration method of releasing object The current implementation is equal to or better than https://github.com/xoox/calibrel * Update doc for CALIB_RELEASE_OBJECT CALIB_USE_QR or CALIB_USE_LU could be used for faster calibration with potentially less precise and less stable in some rare cases. * Add RELEASE_OBJECT calibration to tutorial code To select the calibration method of releasing object points, a command line parameter `-d=<number>` should be provided. * Update tutorial doc for camera_calibration If the method of releasing object points is merged into OpenCV. It will be expected to be firstly released in 4.1, I think. * Reduce epsilon for cornerSubPix() Epsilon of 0.1 is a bigger one. Preciser corner positions are required with calibration method of releasing object. * Refine camera calibration tutorial The hypothesis coordinates are used to indicate which distance must be measured between two specified object points. * Update sample calibration code method selection Similar to camera_calibration tutorial application, a command line argument `-dt=<number>` is used to select the calibration method. * Add guard to flags of cvCalibrateCamera2() cvCalibrateCamera2() doesn't accept CALIB_RELEASE_OBJECT unless overload interface is added in the future. * Simplify fallback when iFixedPoint is out of range * Refactor projectPoints() to keep compatibilities * Fix arg string "Bad rvecs header" * Read calibration flags from test data files Instead of being hard coded into source file, the calibration flags will be read from test data files. opencv_extra/testdata/cv/cameracalibration/calib?.dat must be sync with the test code. * Add new C interface of cvCalibrateCamera4() With this new added C interface, the extended calibration method with CALIB_RELEASE_OBJECT can be called by C API. * Add regression test of extended calibration method It has been tested with new added test data in xoox:calib-release-object branch of opencv_extra. * Fix assertion in test_cameracalibration.cpp The total number of refined 3D object coordinates is checked. * Add checker for iFixedPoint in cvCalibrateCamera4 If iFixedPoint is out of rational range, fall back to standard method. * Fix documentation for overloaded calibrateCamera() * Remove calibration flag of CALIB_RELEASE_OBJECT The method selection is based on the range of the index of fixed point. For minus values, standard calibration method will be chosen. Values in a rational range will make the object-releasing calibration method selected. * Use new interfaces instead of function overload Existing interfaces are preserved and new interfaces are added. Since most part of the code base are shared, calibrateCamera() is now a wrapper function of calibrateCameraRO(). * Fix exported name of calibrateCameraRO() * Update documentation for calibrateCameraRO() The circumstances where this method is mostly helpful are described. * Add note on the rigidity of the calibration target * Update documentation for calibrateCameraRO() It is clarified that iFixedPoint is used as a switch to select calibration method. If input data are not qualified, exceptions will be thrown instead of fallback scheme. * Clarify iFixedPoint as switch and remove fallback iFixedPoint is now used as a switch for calibration method selection. No fallback scheme is utilized anymore. If the input data are not qualified, exceptions will be thrown. * Add badarg test for object-releasing method * Fix document format of sample list List items of same level should be indented the same way. Otherwise they will be formatted as nested lists by Doxygen. * Add brief intro for objectPoints and imagePoints * Sync tutorial to sample calibration code * Update tutorial compatibility version to 4.0
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if (errors)
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
else
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ts->set_failed_test_info(cvtest::TS::OK);
}
class CV_Rodrigues2BadArgTest : public cvtest::BadArgTest
{
public:
CV_Rodrigues2BadArgTest() {}
~CV_Rodrigues2BadArgTest() {}
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protected:
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void run_func(void) {}
struct C_Caller
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{
_InputArray src_arg;
_OutputArray dst_arg, j_arg;
Mat src;
Mat dst;
Mat jacobian;
void initArgs()
{
src_arg = src;
dst_arg = dst;
j_arg = jacobian;
}
void operator()()
{
cv::Rodrigues(src_arg, dst_arg, j_arg);
}
};
void run(int /* start_from */ )
{
Mat zeros(1, sizeof(CvMat), CV_8U, Scalar(0));
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Mat src_cpp(3, 1, CV_32F);
Mat dst_cpp(3, 3, CV_32F);
C_Caller caller;
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/*/*//*/*/
int errors = 0;
caller.initArgs();
caller.src_arg = noArray();
errors += run_test_case( CV_StsBadArg, "Src is empty matrix", caller );
caller.initArgs();
caller.src = Mat::zeros(3, 1, CV_8U);
errors += run_test_case( CV_StsUnsupportedFormat, "Bad src formart", caller );
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caller.initArgs();
caller.src = Mat::zeros(1, 1, CV_32F);
errors += run_test_case( CV_StsBadSize, "Bad src size", caller );
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if (errors)
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
else
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ts->set_failed_test_info(cvtest::TS::OK);
}
};
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////
class CV_ProjectPoints2BadArgTest : public cvtest::BadArgTest
{
public:
CV_ProjectPoints2BadArgTest() : camMat(3, 3), distCoeffs(1, 5)
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{
Size imsSize(800, 600);
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camMat << 300.f, 0.f, imsSize.width/2.f, 0, 300.f, imsSize.height/2.f, 0.f, 0.f, 1.f;
distCoeffs << 1.2f, 0.2f, 0.f, 0.f, 0.f;
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}
~CV_ProjectPoints2BadArgTest() {}
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protected:
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void run_func(void) {}
Mat_<float> camMat;
Mat_<float> distCoeffs;
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struct C_Caller
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{
_InputArray objectPoints_arg, rvec_arg, tvec_arg, A_arg, DC_arg;
_OutputArray imagePoints_arg;
Mat objectPoints;
Mat r_vec;
Mat t_vec;
Mat A;
Mat distCoeffs;
Mat imagePoints;
Mat J;
double aspectRatio0, aspectRatio;
void initArgs()
{
objectPoints_arg = objectPoints;
imagePoints_arg = imagePoints;
rvec_arg = r_vec;
tvec_arg = t_vec;
A_arg = A;
DC_arg = distCoeffs;
aspectRatio = aspectRatio0;
}
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void operator()()
{
projectPoints(objectPoints_arg, rvec_arg, tvec_arg, A_arg, DC_arg,
imagePoints_arg, J, aspectRatio );
}
};
void run(int /* start_from */ )
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{
C_Caller caller;
const int n = 10;
Mat objectPoints_cpp(1, n, CV_32FC3);
randu(objectPoints_cpp, Scalar::all(1), Scalar::all(10));
caller.objectPoints = objectPoints_cpp;
caller.t_vec = Mat::zeros(1, 3, CV_32F);
cvtest::Rodrigues(Mat::eye(3, 3, CV_32F), caller.r_vec);
caller.A = Mat::eye(3, 3, CV_32F);
caller.distCoeffs = Mat::zeros(1, 5, CV_32F);
caller.aspectRatio0 = 1.0;
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/********************/
int errors = 0;
caller.initArgs();
caller.objectPoints_arg = noArray();
errors += run_test_case( CV_StsBadArg, "Zero objectPoints", caller );
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caller.initArgs();
caller.rvec_arg = noArray();
errors += run_test_case( CV_StsBadArg, "Zero r_vec", caller );
caller.initArgs();
caller.tvec_arg = noArray();
errors += run_test_case( CV_StsBadArg, "Zero t_vec", caller );
caller.initArgs();
caller.A_arg = noArray();
errors += run_test_case( CV_StsBadArg, "Zero camMat", caller );
caller.initArgs();
caller.imagePoints_arg = noArray();
errors += run_test_case( CV_StsBadArg, "Zero imagePoints", caller );
Mat save_rvec = caller.r_vec;
caller.initArgs();
caller.r_vec.create(2, 2, CV_32F);
errors += run_test_case( CV_StsBadArg, "Bad rvec format", caller );
caller.initArgs();
caller.r_vec.create(1, 3, CV_8U);
errors += run_test_case( CV_StsBadArg, "Bad rvec format", caller );
caller.r_vec = save_rvec;
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/****************************/
Mat save_tvec = caller.t_vec;
caller.initArgs();
caller.t_vec.create(3, 3, CV_32F);
errors += run_test_case( CV_StsBadArg, "Bad tvec format", caller );
caller.initArgs();
caller.t_vec.create(1, 3, CV_8U);
errors += run_test_case( CV_StsBadArg, "Bad tvec format", caller );
caller.t_vec = save_tvec;
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/****************************/
Mat save_A = caller.A;
caller.initArgs();
caller.A.create(2, 2, CV_32F);
errors += run_test_case( CV_StsBadArg, "Bad A format", caller );
caller.A = save_A;
/****************************/
Mat save_DC = caller.distCoeffs;
caller.initArgs();
caller.distCoeffs.create(3, 3, CV_32F);
errors += run_test_case( CV_StsBadArg, "Bad distCoeffs format", caller );
caller.distCoeffs = save_DC;
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if (errors)
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
else
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ts->set_failed_test_info(cvtest::TS::OK);
}
};
TEST(Calib3d_CalibrateCamera_CPP, badarg) { CV_CameraCalibrationBadArgTest test; test.safe_run(); }
TEST(Calib3d_Rodrigues_CPP, badarg) { CV_Rodrigues2BadArgTest test; test.safe_run(); }
TEST(Calib3d_ProjectPoints_CPP, badarg) { CV_ProjectPoints2BadArgTest test; test.safe_run(); }
}} // namespace