Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
#ifdef HAVE_CUDA
//////////////////////////////////////////////////////////////////////
// SURF
GPU_PERF_TEST_1(SURF, cv::gpu::DeviceInfo)
{
cv::gpu::DeviceInfo devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
cv::Mat img_host = readImage("gpu/perf/aloe.jpg", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img_host.empty());
cv::gpu::SURF_GPU surf;
cv::gpu::GpuMat img(img_host);
cv::gpu::GpuMat keypoints, descriptors;
surf(img, cv::gpu::GpuMat(), keypoints, descriptors);
declare.time(2.0);
TEST_CYCLE()
{
surf(img, cv::gpu::GpuMat(), keypoints, descriptors);
}
}
INSTANTIATE_TEST_CASE_P(Features2D, SURF, ALL_DEVICES);
//////////////////////////////////////////////////////////////////////
// FAST
GPU_PERF_TEST_1(FAST, cv::gpu::DeviceInfo)
{
cv::gpu::DeviceInfo devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
cv::Mat img_host = readImage("gpu/perf/aloe.jpg", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img_host.empty());
cv::gpu::FAST_GPU fast(20);
cv::gpu::GpuMat img(img_host);
cv::gpu::GpuMat keypoints;
fast(img, cv::gpu::GpuMat(), keypoints);
TEST_CYCLE()
{
fast(img, cv::gpu::GpuMat(), keypoints);
}
}
INSTANTIATE_TEST_CASE_P(Features2D, FAST, ALL_DEVICES);
//////////////////////////////////////////////////////////////////////
// ORB
GPU_PERF_TEST_1(ORB, cv::gpu::DeviceInfo)
{
cv::gpu::DeviceInfo devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
cv::Mat img_host = readImage("gpu/perf/aloe.jpg", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img_host.empty());
cv::gpu::ORB_GPU orb(4000);
cv::gpu::GpuMat img(img_host);
cv::gpu::GpuMat keypoints, descriptors;
TEST_CYCLE()
{
orb(img, cv::gpu::GpuMat(), keypoints, descriptors);
}
}
INSTANTIATE_TEST_CASE_P(Features2D, ORB, ALL_DEVICES);
//////////////////////////////////////////////////////////////////////
// BruteForceMatcher_match
IMPLEMENT_PARAM_CLASS(DescriptorSize, int)
GPU_PERF_TEST(BruteForceMatcher_match, cv::gpu::DeviceInfo, DescriptorSize, NormType)
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
int desc_size = GET_PARAM(1);
int normType = GET_PARAM(2);
int type = normType == cv::NORM_HAMMING ? CV_8U : CV_32F;
cv::Mat query_host(3000, desc_size, type);
fill(query_host, 0.0, 10.0);
cv::Mat train_host(3000, desc_size, type);
fill(train_host, 0.0, 10.0);
cv::gpu::BFMatcher_GPU matcher(normType);
cv::gpu::GpuMat query(query_host);
cv::gpu::GpuMat train(train_host);
cv::gpu::GpuMat trainIdx, distance;
matcher.matchSingle(query, train, trainIdx, distance);
declare.time(3.0);
TEST_CYCLE()
{
matcher.matchSingle(query, train, trainIdx, distance);
}
}
INSTANTIATE_TEST_CASE_P(Features2D, BruteForceMatcher_match, testing::Combine(
ALL_DEVICES,
testing::Values(DescriptorSize(64), DescriptorSize(128), DescriptorSize(256)),
testing::Values(NormType(cv::NORM_L1), NormType(cv::NORM_L2), NormType(cv::NORM_HAMMING))));
//////////////////////////////////////////////////////////////////////
// BruteForceMatcher_knnMatch
IMPLEMENT_PARAM_CLASS(K, int)
GPU_PERF_TEST(BruteForceMatcher_knnMatch, cv::gpu::DeviceInfo, DescriptorSize, K, NormType)
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
int desc_size = GET_PARAM(1);
int k = GET_PARAM(2);
int normType = GET_PARAM(3);
int type = normType == cv::NORM_HAMMING ? CV_8U : CV_32F;
cv::Mat query_host(3000, desc_size, type);
fill(query_host, 0.0, 10.0);
cv::Mat train_host(3000, desc_size, type);
fill(train_host, 0.0, 10.0);
cv::gpu::BFMatcher_GPU matcher(normType);
cv::gpu::GpuMat query(query_host);
cv::gpu::GpuMat train(train_host);
cv::gpu::GpuMat trainIdx, distance, allDist;
matcher.knnMatchSingle(query, train, trainIdx, distance, allDist, k);
declare.time(3.0);
TEST_CYCLE()
{
matcher.knnMatchSingle(query, train, trainIdx, distance, allDist, k);
}
}
INSTANTIATE_TEST_CASE_P(Features2D, BruteForceMatcher_knnMatch, testing::Combine(
ALL_DEVICES,
testing::Values(DescriptorSize(64), DescriptorSize(128), DescriptorSize(256)),
testing::Values(K(2), K(3)),
testing::Values(NormType(cv::NORM_L1), NormType(cv::NORM_L2), NormType(cv::NORM_HAMMING))));
//////////////////////////////////////////////////////////////////////
// BruteForceMatcher_radiusMatch
GPU_PERF_TEST(BruteForceMatcher_radiusMatch, cv::gpu::DeviceInfo, DescriptorSize, NormType)
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
int desc_size = GET_PARAM(1);
int normType = GET_PARAM(2);
int type = normType == cv::NORM_HAMMING ? CV_8U : CV_32F;
cv::Mat query_host(3000, desc_size, type);
fill(query_host, 0.0, 1.0);
cv::Mat train_host(3000, desc_size, type);
fill(train_host, 0.0, 1.0);
cv::gpu::BFMatcher_GPU matcher(normType);
cv::gpu::GpuMat query(query_host);
cv::gpu::GpuMat train(train_host);
cv::gpu::GpuMat trainIdx, nMatches, distance;
matcher.radiusMatchSingle(query, train, trainIdx, distance, nMatches, 2.0);
declare.time(3.0);
TEST_CYCLE()
{
matcher.radiusMatchSingle(query, train, trainIdx, distance, nMatches, 2.0);
}
}
INSTANTIATE_TEST_CASE_P(Features2D, BruteForceMatcher_radiusMatch, testing::Combine(
ALL_DEVICES,
testing::Values(DescriptorSize(64), DescriptorSize(128), DescriptorSize(256)),
testing::Values(NormType(cv::NORM_L1), NormType(cv::NORM_L2), NormType(cv::NORM_HAMMING))));
#endif