#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_t; typedef perf::TestBaseWithParam 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 inputImage = imread(getDataPath("cv/shared/fruits.png"),0); Mat img; resize(inputImage, img, Size(216,216)); Mat templateImage; int transform_type = get<0>(GetParam()); Mat warpMat; Mat warpGround; double angle; switch (transform_type) { case MOTION_TRANSLATION: warpGround = (Mat_(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_(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_(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_(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, 1e-3); }