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Open Source Computer Vision Library
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87 lines
2.0 KiB
87 lines
2.0 KiB
11 years ago
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#include "perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace cvtest {
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namespace ocl {
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typedef ::perf::TestBaseWithParam<std::string> ORBFixture;
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#define ORB_IMAGES OCL_PERF_ENUM("cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png", "stitching/a3.png")
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OCL_PERF_TEST_P(ORBFixture, ORB_Detect, ORB_IMAGES)
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{
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string filename = getDataPath(GetParam());
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Mat mframe = imread(filename, IMREAD_GRAYSCALE);
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if (mframe.empty())
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FAIL() << "Unable to load source image " << filename;
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UMat frame, mask;
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mframe.copyTo(frame);
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declare.in(frame);
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ORB detector(1500, 1.3f, 1);
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vector<KeyPoint> points;
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OCL_TEST_CYCLE() detector(frame, mask, points);
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sort(points.begin(), points.end(), comparators::KeypointGreater());
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SANITY_CHECK_KEYPOINTS(points, 1e-5);
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}
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OCL_PERF_TEST_P(ORBFixture, ORB_Extract, ORB_IMAGES)
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{
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string filename = getDataPath(GetParam());
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Mat mframe = imread(filename, IMREAD_GRAYSCALE);
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if (mframe.empty())
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FAIL() << "Unable to load source image " << filename;
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UMat mask, frame;
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mframe.copyTo(frame);
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declare.in(frame);
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ORB detector(1500, 1.3f, 1);
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vector<KeyPoint> points;
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detector(frame, mask, points);
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sort(points.begin(), points.end(), comparators::KeypointGreater());
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UMat descriptors;
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OCL_TEST_CYCLE() detector(frame, mask, points, descriptors, true);
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SANITY_CHECK(descriptors);
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}
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OCL_PERF_TEST_P(ORBFixture, ORB_Full, ORB_IMAGES)
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{
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string filename = getDataPath(GetParam());
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Mat mframe = imread(filename, IMREAD_GRAYSCALE);
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if (mframe.empty())
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FAIL() << "Unable to load source image " << filename;
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UMat mask, frame;
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mframe.copyTo(frame);
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declare.in(frame);
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ORB detector(1500, 1.3f, 1);
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vector<KeyPoint> points;
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UMat descriptors;
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OCL_TEST_CYCLE() detector(frame, mask, points, descriptors, false);
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::perf::sort(points, descriptors);
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SANITY_CHECK_KEYPOINTS(points, 1e-5);
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SANITY_CHECK(descriptors);
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}
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} // ocl
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} // cvtest
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#endif // HAVE_OPENCL
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