mirror of
https://github.com/opencv/opencv.git
synced 2024-12-11 22:59:16 +08:00
262 lines
7.7 KiB
C++
262 lines
7.7 KiB
C++
#include "perf_precomp.hpp"
|
|
|
|
#ifdef HAVE_CUDA
|
|
|
|
//////////////////////////////////////////////////////
|
|
// BroxOpticalFlow
|
|
|
|
GPU_PERF_TEST_1(BroxOpticalFlow, cv::gpu::DeviceInfo)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo = GetParam();
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
cv::Mat frame0_host = readImage("gpu/opticalflow/frame0.png", cv::IMREAD_GRAYSCALE);
|
|
cv::Mat frame1_host = readImage("gpu/opticalflow/frame1.png", cv::IMREAD_GRAYSCALE);
|
|
|
|
ASSERT_FALSE(frame0_host.empty());
|
|
ASSERT_FALSE(frame1_host.empty());
|
|
|
|
frame0_host.convertTo(frame0_host, CV_32FC1, 1.0 / 255.0);
|
|
frame1_host.convertTo(frame1_host, CV_32FC1, 1.0 / 255.0);
|
|
|
|
cv::gpu::GpuMat frame0(frame0_host);
|
|
cv::gpu::GpuMat frame1(frame1_host);
|
|
cv::gpu::GpuMat u;
|
|
cv::gpu::GpuMat v;
|
|
|
|
cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
|
|
10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
|
|
|
|
declare.time(10);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
d_flow(frame0, frame1, u, v);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Video, BroxOpticalFlow, ALL_DEVICES);
|
|
|
|
//////////////////////////////////////////////////////
|
|
// InterpolateFrames
|
|
|
|
GPU_PERF_TEST_1(InterpolateFrames, cv::gpu::DeviceInfo)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo = GetParam();
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
cv::Mat frame0_host = readImage("gpu/perf/aloe.jpg", cv::IMREAD_GRAYSCALE);
|
|
cv::Mat frame1_host = readImage("gpu/perf/aloeR.jpg", cv::IMREAD_GRAYSCALE);
|
|
|
|
ASSERT_FALSE(frame0_host.empty());
|
|
ASSERT_FALSE(frame1_host.empty());
|
|
|
|
frame0_host.convertTo(frame0_host, CV_32FC1, 1.0 / 255.0);
|
|
frame1_host.convertTo(frame1_host, CV_32FC1, 1.0 / 255.0);
|
|
|
|
cv::gpu::GpuMat frame0(frame0_host);
|
|
cv::gpu::GpuMat frame1(frame1_host);
|
|
cv::gpu::GpuMat fu, fv;
|
|
cv::gpu::GpuMat bu, bv;
|
|
|
|
cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
|
|
10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
|
|
|
|
d_flow(frame0, frame1, fu, fv);
|
|
d_flow(frame1, frame0, bu, bv);
|
|
|
|
cv::gpu::GpuMat newFrame;
|
|
cv::gpu::GpuMat buf;
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
cv::gpu::interpolateFrames(frame0, frame1, fu, fv, bu, bv, 0.5f, newFrame, buf);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Video, InterpolateFrames, ALL_DEVICES);
|
|
|
|
//////////////////////////////////////////////////////
|
|
// CreateOpticalFlowNeedleMap
|
|
|
|
GPU_PERF_TEST_1(CreateOpticalFlowNeedleMap, cv::gpu::DeviceInfo)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo = GetParam();
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
cv::Mat frame0_host = readImage("gpu/perf/aloe.jpg", cv::IMREAD_GRAYSCALE);
|
|
cv::Mat frame1_host = readImage("gpu/perf/aloeR.jpg", cv::IMREAD_GRAYSCALE);
|
|
|
|
ASSERT_FALSE(frame0_host.empty());
|
|
ASSERT_FALSE(frame1_host.empty());
|
|
|
|
frame0_host.convertTo(frame0_host, CV_32FC1, 1.0 / 255.0);
|
|
frame1_host.convertTo(frame1_host, CV_32FC1, 1.0 / 255.0);
|
|
|
|
cv::gpu::GpuMat frame0(frame0_host);
|
|
cv::gpu::GpuMat frame1(frame1_host);
|
|
cv::gpu::GpuMat u, v;
|
|
|
|
cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
|
|
10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
|
|
|
|
d_flow(frame0, frame1, u, v);
|
|
|
|
cv::gpu::GpuMat vertex, colors;
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
cv::gpu::createOpticalFlowNeedleMap(u, v, vertex, colors);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Video, CreateOpticalFlowNeedleMap, ALL_DEVICES);
|
|
|
|
//////////////////////////////////////////////////////
|
|
// GoodFeaturesToTrack
|
|
|
|
GPU_PERF_TEST(GoodFeaturesToTrack, cv::gpu::DeviceInfo, double)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
|
|
double minDistance = GET_PARAM(1);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
cv::Mat image_host = readImage("gpu/perf/aloe.jpg", cv::IMREAD_GRAYSCALE);
|
|
|
|
ASSERT_FALSE(image_host.empty());
|
|
|
|
cv::gpu::GoodFeaturesToTrackDetector_GPU detector(8000, 0.01, minDistance);
|
|
|
|
cv::gpu::GpuMat image(image_host);
|
|
cv::gpu::GpuMat pts;
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
detector(image, pts);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Video, GoodFeaturesToTrack, testing::Combine(ALL_DEVICES, testing::Values(0.0, 3.0)));
|
|
|
|
//////////////////////////////////////////////////////
|
|
// PyrLKOpticalFlowSparse
|
|
|
|
GPU_PERF_TEST(PyrLKOpticalFlowSparse, cv::gpu::DeviceInfo, bool, int, int)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
|
|
bool useGray = GET_PARAM(1);
|
|
int points = GET_PARAM(2);
|
|
int win_size = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
cv::Mat frame0_host = readImage("gpu/opticalflow/frame0.png", useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
|
|
cv::Mat frame1_host = readImage("gpu/opticalflow/frame1.png", useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
|
|
|
|
ASSERT_FALSE(frame0_host.empty());
|
|
ASSERT_FALSE(frame1_host.empty());
|
|
|
|
cv::Mat gray_frame;
|
|
if (useGray)
|
|
gray_frame = frame0_host;
|
|
else
|
|
cv::cvtColor(frame0_host, gray_frame, cv::COLOR_BGR2GRAY);
|
|
|
|
cv::gpu::GpuMat pts;
|
|
|
|
cv::gpu::GoodFeaturesToTrackDetector_GPU detector(points, 0.01, 0.0);
|
|
detector(cv::gpu::GpuMat(gray_frame), pts);
|
|
|
|
cv::gpu::PyrLKOpticalFlow pyrLK;
|
|
pyrLK.winSize = cv::Size(win_size, win_size);
|
|
|
|
cv::gpu::GpuMat frame0(frame0_host);
|
|
cv::gpu::GpuMat frame1(frame1_host);
|
|
cv::gpu::GpuMat nextPts;
|
|
cv::gpu::GpuMat status;
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
pyrLK.sparse(frame0, frame1, pts, nextPts, status);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Video, PyrLKOpticalFlowSparse, testing::Combine
|
|
(
|
|
ALL_DEVICES,
|
|
testing::Bool(),
|
|
testing::Values(1000, 2000, 4000, 8000),
|
|
testing::Values(17, 21)
|
|
));
|
|
|
|
//////////////////////////////////////////////////////
|
|
// PyrLKOpticalFlowDense
|
|
|
|
GPU_PERF_TEST_1(PyrLKOpticalFlowDense, cv::gpu::DeviceInfo)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo = GetParam();
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
cv::Mat frame0_host = readImage("gpu/opticalflow/frame0.png", cv::IMREAD_GRAYSCALE);
|
|
cv::Mat frame1_host = readImage("gpu/opticalflow/frame1.png", cv::IMREAD_GRAYSCALE);
|
|
|
|
ASSERT_FALSE(frame0_host.empty());
|
|
ASSERT_FALSE(frame1_host.empty());
|
|
|
|
cv::gpu::GpuMat frame0(frame0_host);
|
|
cv::gpu::GpuMat frame1(frame1_host);
|
|
cv::gpu::GpuMat u;
|
|
cv::gpu::GpuMat v;
|
|
|
|
cv::gpu::PyrLKOpticalFlow pyrLK;
|
|
|
|
declare.time(10);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
pyrLK.dense(frame0, frame1, u, v);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Video, PyrLKOpticalFlowDense, ALL_DEVICES);
|
|
|
|
|
|
//////////////////////////////////////////////////////
|
|
// FarnebackOpticalFlowTest
|
|
|
|
GPU_PERF_TEST_1(FarnebackOpticalFlowTest, cv::gpu::DeviceInfo)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo = GetParam();
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
cv::Mat frame0_host = readImage("gpu/opticalflow/frame0.png", cv::IMREAD_GRAYSCALE);
|
|
cv::Mat frame1_host = readImage("gpu/opticalflow/frame1.png", cv::IMREAD_GRAYSCALE);
|
|
|
|
ASSERT_FALSE(frame0_host.empty());
|
|
ASSERT_FALSE(frame1_host.empty());
|
|
|
|
cv::gpu::GpuMat frame0(frame0_host);
|
|
cv::gpu::GpuMat frame1(frame1_host);
|
|
cv::gpu::GpuMat u;
|
|
cv::gpu::GpuMat v;
|
|
|
|
cv::gpu::FarnebackOpticalFlow calc;
|
|
|
|
declare.time(10);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
calc(frame0, frame1, u, v);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(Video, FarnebackOpticalFlowTest, ALL_DEVICES);
|
|
|
|
#endif
|