// 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 "../test_precomp.hpp" #include "cvconfig.h" #include "opencv2/ts/ocl_test.hpp" #ifdef HAVE_OPENCL namespace opencv_test { namespace ocl { #define TEST_IMAGES testing::Values(\ "detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\ "../stitching/a3.png", \ "../stitching/s2.jpg") PARAM_TEST_CASE(Feature2DFixture, Ptr, std::string) { std::string filename; Mat image, descriptors; vector keypoints; UMat uimage, udescriptors; vector ukeypoints; Ptr feature; virtual void SetUp() { feature = GET_PARAM(0); filename = GET_PARAM(1); image = readImage(filename); ASSERT_FALSE(image.empty()); image.copyTo(uimage); OCL_OFF(feature->detect(image, keypoints)); OCL_ON(feature->detect(uimage, ukeypoints)); // note: we use keypoints from CPU for GPU too, to test descriptors separately OCL_OFF(feature->compute(image, keypoints, descriptors)); OCL_ON(feature->compute(uimage, keypoints, udescriptors)); } }; OCL_TEST_P(Feature2DFixture, KeypointsSame) { EXPECT_EQ(keypoints.size(), ukeypoints.size()); for (size_t i = 0; i < keypoints.size(); ++i) { EXPECT_GE(KeyPoint::overlap(keypoints[i], ukeypoints[i]), 0.95); EXPECT_NEAR(keypoints[i].angle, ukeypoints[i].angle, 0.001); } } OCL_TEST_P(Feature2DFixture, DescriptorsSame) { EXPECT_MAT_NEAR(descriptors, udescriptors, 0.001); } OCL_INSTANTIATE_TEST_CASE_P(AKAZE, Feature2DFixture, testing::Combine(testing::Values(AKAZE::create()), TEST_IMAGES)); OCL_INSTANTIATE_TEST_CASE_P(AKAZE_DESCRIPTOR_KAZE, Feature2DFixture, testing::Combine(testing::Values(AKAZE::create(AKAZE::DESCRIPTOR_KAZE)), TEST_IMAGES)); }//ocl }//cvtest #endif //HAVE_OPENCL