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Open Source Computer Vision Library
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132 lines
3.7 KiB
132 lines
3.7 KiB
#include "perf_precomp.hpp" |
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PERF_TEST_P(DevInfo_DescSize, BruteForceMatcher_match, testing::Combine(testing::ValuesIn(devices()), |
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testing::Values(64, 128))) |
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{ |
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DeviceInfo devInfo = std::tr1::get<0>(GetParam()); |
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int desc_size = std::tr1::get<1>(GetParam()); |
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setDevice(devInfo.deviceID()); |
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Mat query_host(3000, desc_size, CV_32FC1); |
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Mat train_host(3000, desc_size, CV_32FC1); |
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declare.in(query_host, train_host, WARMUP_RNG); |
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GpuMat query(query_host); |
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GpuMat train(train_host); |
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GpuMat trainIdx, distance; |
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BruteForceMatcher_GPU< L2<float> > matcher; |
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declare.time(0.5).iterations(100); |
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SIMPLE_TEST_CYCLE() |
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{ |
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matcher.matchSingle(query, train, trainIdx, distance); |
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} |
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Mat trainIdx_host(trainIdx); |
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Mat distance_host(distance); |
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SANITY_CHECK(trainIdx_host); |
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SANITY_CHECK(distance_host); |
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} |
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PERF_TEST_P(DevInfo_K_DescSize, BruteForceMatcher_knnMatch, testing::Combine(testing::ValuesIn(devices()), |
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testing::Values(2, 3), |
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testing::Values(64, 128))) |
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{ |
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DeviceInfo devInfo = std::tr1::get<0>(GetParam()); |
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int k = std::tr1::get<1>(GetParam()); |
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int desc_size = std::tr1::get<2>(GetParam()); |
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setDevice(devInfo.deviceID()); |
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Mat query_host(3000, desc_size, CV_32FC1); |
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Mat train_host(3000, desc_size, CV_32FC1); |
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declare.in(query_host, train_host, WARMUP_RNG); |
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GpuMat query(query_host); |
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GpuMat train(train_host); |
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GpuMat trainIdx, distance, allDist; |
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BruteForceMatcher_GPU< L2<float> > matcher; |
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declare.time(0.5).iterations(100); |
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SIMPLE_TEST_CYCLE() |
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{ |
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matcher.knnMatch(query, train, trainIdx, distance, allDist, k); |
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} |
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Mat trainIdx_host(trainIdx); |
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Mat distance_host(distance); |
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SANITY_CHECK(trainIdx_host); |
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SANITY_CHECK(distance_host); |
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} |
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PERF_TEST_P(DevInfo_DescSize, BruteForceMatcher_radiusMatch, testing::Combine(testing::ValuesIn(devices(GLOBAL_ATOMICS)), |
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testing::Values(64, 128))) |
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{ |
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DeviceInfo devInfo = std::tr1::get<0>(GetParam()); |
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int desc_size = std::tr1::get<1>(GetParam()); |
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setDevice(devInfo.deviceID()); |
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Mat query_host = cvtest::randomMat(theRNG(), Size(desc_size, 3000), CV_32FC1, 0, 1, false); |
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Mat train_host = cvtest::randomMat(theRNG(), Size(desc_size, 3000), CV_32FC1, 0, 1, false); |
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GpuMat query(query_host); |
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GpuMat train(train_host); |
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GpuMat trainIdx, nMatches, distance; |
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BruteForceMatcher_GPU< L2<float> > matcher; |
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declare.time(0.5).iterations(100); |
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SIMPLE_TEST_CYCLE() |
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{ |
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matcher.radiusMatchSingle(query, train, trainIdx, distance, nMatches, 2.0); |
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} |
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Mat trainIdx_host(trainIdx); |
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Mat nMatches_host(nMatches); |
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Mat distance_host(distance); |
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SANITY_CHECK(trainIdx_host); |
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SANITY_CHECK(nMatches_host); |
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SANITY_CHECK(distance_host); |
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} |
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PERF_TEST_P(DevInfo, SURF, testing::ValuesIn(devices())) |
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{ |
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DeviceInfo devInfo = GetParam(); |
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setDevice(devInfo.deviceID()); |
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Mat img_host = readImage("gpu/perf/aloe.jpg", CV_LOAD_IMAGE_GRAYSCALE); |
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ASSERT_FALSE(img_host.empty()); |
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GpuMat img(img_host); |
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GpuMat keypoints, descriptors; |
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SURF_GPU surf; |
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declare.time(2.0); |
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SIMPLE_TEST_CYCLE() |
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{ |
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surf(img, GpuMat(), keypoints, descriptors); |
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} |
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Mat keypoints_host(keypoints); |
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Mat descriptors_host(descriptors); |
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SANITY_CHECK(keypoints_host); |
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SANITY_CHECK(descriptors_host); |
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} |
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