opencv/modules/calib3d/perf/perf_undistort.cpp
Victor 5cc154147f
Merge pull request #21841 from victor1234:calib3d-undistortPoints-tests
Add distort/undistort test for fisheye::undistortPoints()

* Add distort/undistort test for fisheye::undistortPoints()

Lack of test has allowed error described in 19138 to be unnoticed.
In addition to random points, four corners and principal center
added to point set

* Add random distortion coefficients set

* Move undistortPoints test to google test, refactor

* Add fisheye::undistortPoints() perf test

* Add negative distortion coefficients to undistortPoints test, increase value

* Move to theRNG()

* Change test check from cvtest::norm(L2) to EXPECT_MAT_NEAR()

* Layout fix

* Add points number parameters, comments
2022-04-19 18:07:34 +00:00

67 lines
2.2 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
#include "perf_precomp.hpp"
namespace opencv_test {
PERF_TEST(Undistort, InitUndistortMap)
{
Size size_w_h(512 + 3, 512);
Mat k(3, 3, CV_32FC1);
Mat d(1, 14, CV_64FC1);
Mat dst(size_w_h, CV_32FC2);
declare.in(k, d, WARMUP_RNG).out(dst);
TEST_CYCLE() initUndistortRectifyMap(k, d, noArray(), k, size_w_h, CV_32FC2, dst, noArray());
SANITY_CHECK_NOTHING();
}
PERF_TEST(Undistort, DISABLED_InitInverseRectificationMap)
{
Size size_w_h(512 + 3, 512);
Mat k(3, 3, CV_32FC1);
Mat d(1, 14, CV_64FC1);
Mat dst(size_w_h, CV_32FC2);
declare.in(k, d, WARMUP_RNG).out(dst);
TEST_CYCLE() initInverseRectificationMap(k, d, noArray(), k, size_w_h, CV_32FC2, dst, noArray());
SANITY_CHECK_NOTHING();
}
using PerfIntType = perf::TestBaseWithParam<std::tuple<int>>;
PERF_TEST_P(PerfIntType, fisheye_undistortPoints,
(testing::Values(1e2, 1e3, 1e4)))
{
const cv::Size imageSize(1280, 800);
/* Set camera matrix */
const cv::Matx33d K(558.478087865323, 0, 620.458515360843,
0, 560.506767351568, 381.939424848348,
0, 0, 1);
/* Set distortion coefficients */
Mat D(1, 4, CV_64F);
theRNG().fill(D, RNG::UNIFORM, -1.e-5, 1.e-5);
int pointsNumber = std::get<0>(GetParam());
/* Create two-channel points matrix */
cv::Mat xy[2] = {};
xy[0].create(pointsNumber, 1, CV_64F);
theRNG().fill(xy[0], cv::RNG::UNIFORM, 0, imageSize.width); // x
xy[1].create(pointsNumber, 1, CV_64F);
theRNG().fill(xy[1], cv::RNG::UNIFORM, 0, imageSize.height); // y
cv::Mat points;
merge(xy, 2, points);
/* Set fixed iteration number to check only c++ code, not algo convergence */
TermCriteria termCriteria(TermCriteria::MAX_ITER, 10, 0);
Mat undistortedPoints;
TEST_CYCLE() fisheye::undistortPoints(points, undistortedPoints, K, D, noArray(), noArray(), termCriteria);
SANITY_CHECK_NOTHING();
}
} // namespace