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Open Source Computer Vision Library
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72 lines
2.0 KiB
72 lines
2.0 KiB
// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html |
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#include "../test_precomp.hpp" |
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#include "cvconfig.h" |
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#include "opencv2/ts/ocl_test.hpp" |
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#ifdef HAVE_OPENCL |
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namespace cvtest { |
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namespace ocl { |
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#define TEST_IMAGES testing::Values(\ |
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"detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\ |
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"../stitching/a3.png", \ |
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"../stitching/s2.jpg") |
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PARAM_TEST_CASE(Feature2DFixture, Ptr<Feature2D>, std::string) |
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{ |
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std::string filename; |
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Mat image, descriptors; |
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vector<KeyPoint> keypoints; |
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UMat uimage, udescriptors; |
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vector<KeyPoint> ukeypoints; |
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Ptr<Feature2D> feature; |
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virtual void SetUp() |
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{ |
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feature = GET_PARAM(0); |
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filename = GET_PARAM(1); |
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image = readImage(filename); |
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ASSERT_FALSE(image.empty()); |
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image.copyTo(uimage); |
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OCL_OFF(feature->detect(image, keypoints)); |
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OCL_ON(feature->detect(uimage, ukeypoints)); |
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// note: we use keypoints from CPU for GPU too, to test descriptors separately |
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OCL_OFF(feature->compute(image, keypoints, descriptors)); |
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OCL_ON(feature->compute(uimage, keypoints, udescriptors)); |
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} |
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}; |
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OCL_TEST_P(Feature2DFixture, KeypointsSame) |
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{ |
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EXPECT_EQ(keypoints.size(), ukeypoints.size()); |
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for (size_t i = 0; i < keypoints.size(); ++i) |
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{ |
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EXPECT_GE(KeyPoint::overlap(keypoints[i], ukeypoints[i]), 0.95); |
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EXPECT_NEAR(keypoints[i].angle, ukeypoints[i].angle, 0.001); |
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} |
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} |
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OCL_TEST_P(Feature2DFixture, DescriptorsSame) |
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{ |
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EXPECT_MAT_NEAR(descriptors, udescriptors, 0.001); |
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} |
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OCL_INSTANTIATE_TEST_CASE_P(AKAZE, Feature2DFixture, |
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testing::Combine(testing::Values(AKAZE::create()), TEST_IMAGES)); |
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OCL_INSTANTIATE_TEST_CASE_P(AKAZE_DESCRIPTOR_KAZE, Feature2DFixture, |
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testing::Combine(testing::Values(AKAZE::create(AKAZE::DESCRIPTOR_KAZE)), TEST_IMAGES)); |
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}//ocl |
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}//cvtest |
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#endif //HAVE_OPENCL
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