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提交 2be4f2c4 编写于 作者: A Alexander Alekhin
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Merge pull request #8589 from tomoaki0705:fixTypoCalib3d

上级 0d10eb51 62c17dc3
隐藏空白更改
内联 并排
Showing with 45 addition and 46 deletion
modules/calib3d/test/test_fisheye.cpp
浏览文件 @ 2be4f2c4
......@@ -245,13 +245,13 @@ TEST_F(fisheyeTest, Calibration)
cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
CV_Assert(fs_left.isOpened());
for(int i = 0; i < n_images; ++i)
fs_left[cv::format("image_%d", i )] >> imagePoints[i];
fs_left[cv::format("image_%d", i )] >> imagePoints[i];
fs_left.release();
cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
CV_Assert(fs_object.isOpened());
for(int i = 0; i < n_images; ++i)
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object.release();
int flag = 0;
......@@ -280,13 +280,13 @@ TEST_F(fisheyeTest, Homography)
cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
CV_Assert(fs_left.isOpened());
for(int i = 0; i < n_images; ++i)
fs_left[cv::format("image_%d", i )] >> imagePoints[i];
fs_left[cv::format("image_%d", i )] >> imagePoints[i];
fs_left.release();
cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
CV_Assert(fs_object.isOpened());
for(int i = 0; i < n_images; ++i)
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object.release();
cv::internal::IntrinsicParams param;
......@@ -330,7 +330,7 @@ TEST_F(fisheyeTest, Homography)
EXPECT_MAT_NEAR(std_err, correct_std_err, 1e-12);
}
TEST_F(fisheyeTest, EtimateUncertainties)
TEST_F(fisheyeTest, EstimateUncertainties)
{
const int n_images = 34;
......@@ -341,13 +341,13 @@ TEST_F(fisheyeTest, EtimateUncertainties)
cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
CV_Assert(fs_left.isOpened());
for(int i = 0; i < n_images; ++i)
fs_left[cv::format("image_%d", i )] >> imagePoints[i];
fs_left[cv::format("image_%d", i )] >> imagePoints[i];
fs_left.release();
cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
CV_Assert(fs_object.isOpened());
for(int i = 0; i < n_images; ++i)
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object.release();
int flag = 0;
......@@ -435,9 +435,9 @@ TEST_F(fisheyeTest, rectify)
if (correct.empty())
cv::imwrite(combine(datasets_repository_path, cv::format("rectification_AB_%03d.png", i)), rectification);
else
EXPECT_MAT_NEAR(correct, rectification, 1e-10);
}
else
EXPECT_MAT_NEAR(correct, rectification, 1e-10);
}
}
TEST_F(fisheyeTest, stereoCalibrate)
......@@ -453,19 +453,19 @@ TEST_F(fisheyeTest, stereoCalibrate)
cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
CV_Assert(fs_left.isOpened());
for(int i = 0; i < n_images; ++i)
fs_left[cv::format("image_%d", i )] >> leftPoints[i];
fs_left[cv::format("image_%d", i )] >> leftPoints[i];
fs_left.release();
cv::FileStorage fs_right(combine(folder, "right.xml"), cv::FileStorage::READ);
CV_Assert(fs_right.isOpened());
for(int i = 0; i < n_images; ++i)
fs_right[cv::format("image_%d", i )] >> rightPoints[i];
fs_right[cv::format("image_%d", i )] >> rightPoints[i];
fs_right.release();
cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
CV_Assert(fs_object.isOpened());
for(int i = 0; i < n_images; ++i)
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object.release();
cv::Matx33d K1, K2, theR;
......@@ -476,7 +476,6 @@ TEST_F(fisheyeTest, stereoCalibrate)
flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
flag |= cv::fisheye::CALIB_CHECK_COND;
flag |= cv::fisheye::CALIB_FIX_SKEW;
// flag |= cv::fisheye::CALIB_FIX_INTRINSIC;
cv::fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
K1, D1, K2, D2, imageSize, theR, theT, flag,
......@@ -521,19 +520,19 @@ TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
CV_Assert(fs_left.isOpened());
for(int i = 0; i < n_images; ++i)
fs_left[cv::format("image_%d", i )] >> leftPoints[i];
fs_left[cv::format("image_%d", i )] >> leftPoints[i];
fs_left.release();
cv::FileStorage fs_right(combine(folder, "right.xml"), cv::FileStorage::READ);
CV_Assert(fs_right.isOpened());
for(int i = 0; i < n_images; ++i)
fs_right[cv::format("image_%d", i )] >> rightPoints[i];
fs_right[cv::format("image_%d", i )] >> rightPoints[i];
fs_right.release();
cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
CV_Assert(fs_object.isOpened());
for(int i = 0; i < n_images; ++i)
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object[cv::format("image_%d", i )] >> objectPoints[i];
fs_object.release();
cv::Matx33d theR;
......@@ -572,44 +571,44 @@ TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
TEST_F(fisheyeTest, CalibrationWithDifferentPointsNumber)
{
const int n_images = 2;
const int n_images = 2;
std::vector<std::vector<cv::Point2d> > imagePoints(n_images);
std::vector<std::vector<cv::Point3d> > objectPoints(n_images);
std::vector<std::vector<cv::Point2d> > imagePoints(n_images);
std::vector<std::vector<cv::Point3d> > objectPoints(n_images);
std::vector<cv::Point2d> imgPoints1(10);
std::vector<cv::Point2d> imgPoints2(15);
std::vector<cv::Point2d> imgPoints1(10);
std::vector<cv::Point2d> imgPoints2(15);
std::vector<cv::Point3d> objectPoints1(imgPoints1.size());
std::vector<cv::Point3d> objectPoints2(imgPoints2.size());
std::vector<cv::Point3d> objectPoints1(imgPoints1.size());
std::vector<cv::Point3d> objectPoints2(imgPoints2.size());
for (size_t i = 0; i < imgPoints1.size(); i++)
{
imgPoints1[i] = cv::Point2d((double)i, (double)i);
objectPoints1[i] = cv::Point3d((double)i, (double)i, 10.0);
}
for (size_t i = 0; i < imgPoints1.size(); i++)
{
imgPoints1[i] = cv::Point2d((double)i, (double)i);
objectPoints1[i] = cv::Point3d((double)i, (double)i, 10.0);
}
for (size_t i = 0; i < imgPoints2.size(); i++)
{
imgPoints2[i] = cv::Point2d(i + 0.5, i + 0.5);
objectPoints2[i] = cv::Point3d(i + 0.5, i + 0.5, 10.0);
}
for (size_t i = 0; i < imgPoints2.size(); i++)
{
imgPoints2[i] = cv::Point2d(i + 0.5, i + 0.5);
objectPoints2[i] = cv::Point3d(i + 0.5, i + 0.5, 10.0);
}
imagePoints[0] = imgPoints1;
imagePoints[1] = imgPoints2;
objectPoints[0] = objectPoints1;
objectPoints[1] = objectPoints2;
imagePoints[0] = imgPoints1;
imagePoints[1] = imgPoints2;
objectPoints[0] = objectPoints1;
objectPoints[1] = objectPoints2;
cv::Matx33d theK = cv::Matx33d::eye();
cv::Vec4d theD;
cv::Matx33d theK = cv::Matx33d::eye();
cv::Vec4d theD;
int flag = 0;
flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
flag |= cv::fisheye::CALIB_USE_INTRINSIC_GUESS;
flag |= cv::fisheye::CALIB_FIX_SKEW;
int flag = 0;
flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
flag |= cv::fisheye::CALIB_USE_INTRINSIC_GUESS;
flag |= cv::fisheye::CALIB_FIX_SKEW;
cv::fisheye::calibrate(objectPoints, imagePoints, cv::Size(100, 100), theK, theD,
cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
cv::fisheye::calibrate(objectPoints, imagePoints, cv::Size(100, 100), theK, theD,
cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
......
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