Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
CV_ENUM(MotionType, MOTION_TRANSLATION, MOTION_EUCLIDEAN, MOTION_AFFINE, MOTION_HOMOGRAPHY)
typedef std::tr1::tuple<MotionType> MotionType_t;
typedef perf::TestBaseWithParam<MotionType_t> TransformationType;
PERF_TEST_P(TransformationType, findTransformECC, /*testing::ValuesIn(MotionType::all())*/
testing::Values((int) MOTION_TRANSLATION, (int) MOTION_EUCLIDEAN,
(int) MOTION_AFFINE, (int) MOTION_HOMOGRAPHY)
)
{
Mat img = imread(getDataPath("cv/shared/fruits_ecc.png"),0);
Mat templateImage;
int transform_type = get<0>(GetParam());
Mat warpMat;
Mat warpGround;
double angle;
switch (transform_type) {
case MOTION_TRANSLATION:
warpGround = (Mat_<float>(2,3) << 1.f, 0.f, 7.234f,
0.f, 1.f, 11.839f);
warpAffine(img, templateImage, warpGround,
Size(200,200), INTER_LINEAR + WARP_INVERSE_MAP);
break;
case MOTION_EUCLIDEAN:
angle = CV_PI/30;
warpGround = (Mat_<float>(2,3) << (float)cos(angle), (float)-sin(angle), 12.123f,
(float)sin(angle), (float)cos(angle), 14.789f);
warpAffine(img, templateImage, warpGround,
Size(200,200), INTER_LINEAR + WARP_INVERSE_MAP);
break;
case MOTION_AFFINE:
warpGround = (Mat_<float>(2,3) << 0.98f, 0.03f, 15.523f,
-0.02f, 0.95f, 10.456f);
warpAffine(img, templateImage, warpGround,
Size(200,200), INTER_LINEAR + WARP_INVERSE_MAP);
break;
case MOTION_HOMOGRAPHY:
warpGround = (Mat_<float>(3,3) << 0.98f, 0.03f, 15.523f,
-0.02f, 0.95f, 10.456f,
0.0002f, 0.0003f, 1.f);
warpPerspective(img, templateImage, warpGround,
Size(200,200), INTER_LINEAR + WARP_INVERSE_MAP);
break;
}
TEST_CYCLE()
{
if (transform_type<3)
warpMat = Mat::eye(2,3, CV_32F);
else
warpMat = Mat::eye(3,3, CV_32F);
findTransformECC(templateImage, img, warpMat, transform_type,
TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 5, -1));
}
SANITY_CHECK(warpMat, 3e-3);
}