982 lines
25 KiB
C++
982 lines
25 KiB
C++
#include "perf_precomp.hpp"
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using namespace std;
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using namespace testing;
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namespace cv
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{
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template<> void Ptr<CvBGStatModel>::delete_obj()
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{
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cvReleaseBGStatModel(&obj);
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}
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}
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namespace {
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//////////////////////////////////////////////////////
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// BroxOpticalFlow
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typedef pair<string, string> pair_string;
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DEF_PARAM_TEST_1(ImagePair, pair_string);
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PERF_TEST_P(ImagePair, Video_BroxOpticalFlow,
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Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")))
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{
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declare.time(10);
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cv::Mat frame0 = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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cv::Mat frame1 = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty());
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frame0.convertTo(frame0, CV_32FC1, 1.0 / 255.0);
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frame1.convertTo(frame1, CV_32FC1, 1.0 / 255.0);
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame0(frame0);
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cv::gpu::GpuMat d_frame1(frame1);
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cv::gpu::GpuMat d_u;
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cv::gpu::GpuMat d_v;
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cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
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10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
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d_flow(d_frame0, d_frame1, d_u, d_v);
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TEST_CYCLE()
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{
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d_flow(d_frame0, d_frame1, d_u, d_v);
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}
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GPU_SANITY_CHECK(d_u);
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GPU_SANITY_CHECK(d_v);
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}
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else
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{
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FAIL() << "No such CPU implementation analogy";
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}
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}
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//////////////////////////////////////////////////////
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// InterpolateFrames
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PERF_TEST_P(ImagePair, Video_InterpolateFrames,
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Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")))
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{
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cv::Mat frame0 = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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cv::Mat frame1 = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty());
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frame0.convertTo(frame0, CV_32FC1, 1.0 / 255.0);
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frame1.convertTo(frame1, CV_32FC1, 1.0 / 255.0);
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame0(frame0);
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cv::gpu::GpuMat d_frame1(frame1);
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cv::gpu::GpuMat d_fu, d_fv;
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cv::gpu::GpuMat d_bu, d_bv;
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cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
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10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
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d_flow(d_frame0, d_frame1, d_fu, d_fv);
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d_flow(d_frame1, d_frame0, d_bu, d_bv);
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cv::gpu::GpuMat d_newFrame;
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cv::gpu::GpuMat d_buf;
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cv::gpu::interpolateFrames(d_frame0, d_frame1, d_fu, d_fv, d_bu, d_bv, 0.5f, d_newFrame, d_buf);
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TEST_CYCLE()
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{
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cv::gpu::interpolateFrames(d_frame0, d_frame1, d_fu, d_fv, d_bu, d_bv, 0.5f, d_newFrame, d_buf);
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}
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GPU_SANITY_CHECK(d_fu);
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GPU_SANITY_CHECK(d_fv);
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GPU_SANITY_CHECK(d_bu);
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GPU_SANITY_CHECK(d_bv);
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}
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else
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{
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FAIL() << "No such CPU implementation analogy";
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}
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}
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//////////////////////////////////////////////////////
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// CreateOpticalFlowNeedleMap
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PERF_TEST_P(ImagePair, Video_CreateOpticalFlowNeedleMap,
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Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")))
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{
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cv::Mat frame0 = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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cv::Mat frame1 = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty());
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frame0.convertTo(frame0, CV_32FC1, 1.0 / 255.0);
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frame1.convertTo(frame1, CV_32FC1, 1.0 / 255.0);
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame0(frame0);
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cv::gpu::GpuMat d_frame1(frame1);
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cv::gpu::GpuMat d_u;
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cv::gpu::GpuMat d_v;
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cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
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10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
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d_flow(d_frame0, d_frame1, d_u, d_v);
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cv::gpu::GpuMat d_vertex, d_colors;
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cv::gpu::createOpticalFlowNeedleMap(d_u, d_v, d_vertex, d_colors);
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TEST_CYCLE()
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{
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cv::gpu::createOpticalFlowNeedleMap(d_u, d_v, d_vertex, d_colors);
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}
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GPU_SANITY_CHECK(d_vertex);
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GPU_SANITY_CHECK(d_colors);
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}
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else
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{
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FAIL() << "No such CPU implementation analogy";
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}
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}
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//////////////////////////////////////////////////////
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// GoodFeaturesToTrack
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DEF_PARAM_TEST(Image_MinDistance, string, double);
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PERF_TEST_P(Image_MinDistance, Video_GoodFeaturesToTrack,
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Combine(Values<string>("gpu/perf/aloe.png"), Values(0.0, 3.0)))
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{
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string fileName = GET_PARAM(0);
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double minDistance = GET_PARAM(1);
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cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(image.empty());
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if (PERF_RUN_GPU())
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{
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cv::gpu::GoodFeaturesToTrackDetector_GPU d_detector(8000, 0.01, minDistance);
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cv::gpu::GpuMat d_image(image);
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cv::gpu::GpuMat d_pts;
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d_detector(d_image, d_pts);
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TEST_CYCLE()
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{
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d_detector(d_image, d_pts);
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}
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GPU_SANITY_CHECK(d_pts);
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}
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else
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{
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cv::Mat pts;
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cv::goodFeaturesToTrack(image, pts, 8000, 0.01, minDistance);
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TEST_CYCLE()
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{
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cv::goodFeaturesToTrack(image, pts, 8000, 0.01, minDistance);
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}
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CPU_SANITY_CHECK(pts);
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}
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}
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//////////////////////////////////////////////////////
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// PyrLKOpticalFlowSparse
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DEF_PARAM_TEST(ImagePair_Gray_NPts_WinSz_Levels_Iters, pair_string, bool, int, int, int, int);
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PERF_TEST_P(ImagePair_Gray_NPts_WinSz_Levels_Iters, Video_PyrLKOpticalFlowSparse, Combine(
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Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")),
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Bool(),
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Values(1000, 2000, 4000, 8000),
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Values(9, 13, 17, 21),
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Values(1, 2, 3),
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Values(1, 10, 30)))
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{
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declare.time(20.0);
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pair_string imagePair = GET_PARAM(0);
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bool useGray = GET_PARAM(1);
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int points = GET_PARAM(2);
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int winSize = GET_PARAM(3);
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int levels = GET_PARAM(4);
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int iters = GET_PARAM(5);
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cv::Mat frame0 = readImage(imagePair.first, useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
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ASSERT_FALSE(frame0.empty());
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cv::Mat frame1 = readImage(imagePair.second, useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
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ASSERT_FALSE(frame1.empty());
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cv::Mat gray_frame;
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if (useGray)
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gray_frame = frame0;
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else
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cv::cvtColor(frame0, gray_frame, cv::COLOR_BGR2GRAY);
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cv::Mat pts;
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cv::goodFeaturesToTrack(gray_frame, pts, points, 0.01, 0.0);
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_pts(pts.reshape(2, 1));
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cv::gpu::PyrLKOpticalFlow d_pyrLK;
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d_pyrLK.winSize = cv::Size(winSize, winSize);
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d_pyrLK.maxLevel = levels - 1;
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d_pyrLK.iters = iters;
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cv::gpu::GpuMat d_frame0(frame0);
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cv::gpu::GpuMat d_frame1(frame1);
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cv::gpu::GpuMat d_nextPts;
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cv::gpu::GpuMat d_status;
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d_pyrLK.sparse(d_frame0, d_frame1, d_pts, d_nextPts, d_status);
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TEST_CYCLE()
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{
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d_pyrLK.sparse(d_frame0, d_frame1, d_pts, d_nextPts, d_status);
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}
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GPU_SANITY_CHECK(d_status);
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}
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else
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{
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cv::Mat nextPts;
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cv::Mat status;
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cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, cv::noArray(),
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cv::Size(winSize, winSize), levels - 1,
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cv::TermCriteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, iters, 0.01));
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TEST_CYCLE()
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{
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cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, cv::noArray(),
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cv::Size(winSize, winSize), levels - 1,
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cv::TermCriteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, iters, 0.01));
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}
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CPU_SANITY_CHECK(status);
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}
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}
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//////////////////////////////////////////////////////
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// PyrLKOpticalFlowDense
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DEF_PARAM_TEST(ImagePair_WinSz_Levels_Iters, pair_string, int, int, int);
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PERF_TEST_P(ImagePair_WinSz_Levels_Iters, Video_PyrLKOpticalFlowDense, Combine(
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Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")),
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Values(3, 5, 7, 9, 13, 17, 21),
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Values(1, 2, 3),
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Values(1, 10)))
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{
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declare.time(30);
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pair_string imagePair = GET_PARAM(0);
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int winSize = GET_PARAM(1);
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int levels = GET_PARAM(2);
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int iters = GET_PARAM(3);
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cv::Mat frame0 = readImage(imagePair.first, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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cv::Mat frame1 = readImage(imagePair.second, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty());
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame0(frame0);
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cv::gpu::GpuMat d_frame1(frame1);
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cv::gpu::GpuMat d_u;
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cv::gpu::GpuMat d_v;
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cv::gpu::PyrLKOpticalFlow d_pyrLK;
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d_pyrLK.winSize = cv::Size(winSize, winSize);
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d_pyrLK.maxLevel = levels - 1;
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d_pyrLK.iters = iters;
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d_pyrLK.dense(d_frame0, d_frame1, d_u, d_v);
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TEST_CYCLE()
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{
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d_pyrLK.dense(d_frame0, d_frame1, d_u, d_v);
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}
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GPU_SANITY_CHECK(d_u);
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GPU_SANITY_CHECK(d_v);
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}
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else
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{
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FAIL() << "No such CPU implementation analogy";
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}
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}
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//////////////////////////////////////////////////////
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// FarnebackOpticalFlow
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PERF_TEST_P(ImagePair, Video_FarnebackOpticalFlow,
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Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")))
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{
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declare.time(10);
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cv::Mat frame0 = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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cv::Mat frame1 = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty());
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int numLevels = 5;
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double pyrScale = 0.5;
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int winSize = 13;
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int numIters = 10;
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int polyN = 5;
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double polySigma = 1.1;
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int flags = 0;
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame0(frame0);
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cv::gpu::GpuMat d_frame1(frame1);
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cv::gpu::GpuMat d_u;
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cv::gpu::GpuMat d_v;
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cv::gpu::FarnebackOpticalFlow d_farneback;
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d_farneback.numLevels = numLevels;
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d_farneback.pyrScale = pyrScale;
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d_farneback.winSize = winSize;
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d_farneback.numIters = numIters;
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d_farneback.polyN = polyN;
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d_farneback.polySigma = polySigma;
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d_farneback.flags = flags;
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d_farneback(d_frame0, d_frame1, d_u, d_v);
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TEST_CYCLE()
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{
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d_farneback(d_frame0, d_frame1, d_u, d_v);
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}
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GPU_SANITY_CHECK(d_u);
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GPU_SANITY_CHECK(d_v);
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}
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else
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{
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cv::Mat flow;
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cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
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TEST_CYCLE()
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{
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cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
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}
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CPU_SANITY_CHECK(flow);
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}
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}
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//////////////////////////////////////////////////////
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// FGDStatModel
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DEF_PARAM_TEST_1(Video, string);
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PERF_TEST_P(Video, DISABLED_Video_FGDStatModel, Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"))
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{
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declare.time(60);
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string inputFile = perf::TestBase::getDataPath(GetParam());
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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cv::Mat frame;
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame(frame);
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cv::gpu::FGDStatModel d_model(4);
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d_model.create(d_frame);
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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d_frame.upload(frame);
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startTimer(); next();
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d_model.update(d_frame);
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stopTimer();
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}
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}
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else
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{
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IplImage ipl_frame = frame;
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cv::Ptr<CvBGStatModel> model(cvCreateFGDStatModel(&ipl_frame));
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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ipl_frame = frame;
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startTimer(); next();
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cvUpdateBGStatModel(&ipl_frame, model);
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stopTimer();
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}
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}
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}
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//////////////////////////////////////////////////////
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// MOG
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DEF_PARAM_TEST(Video_Cn_LearningRate, string, MatCn, double);
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PERF_TEST_P(Video_Cn_LearningRate, DISABLED_Video_MOG,
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Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), GPU_CHANNELS_1_3_4, Values(0.0, 0.01)))
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{
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string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
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int cn = GET_PARAM(1);
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float learningRate = static_cast<float>(GET_PARAM(2));
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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cv::Mat frame;
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame(frame);
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cv::gpu::MOG_GPU d_mog;
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cv::gpu::GpuMat d_foreground;
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d_mog(d_frame, d_foreground, learningRate);
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for (int i = 0; i < 10; ++i)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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if (cn != 3)
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{
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cv::Mat temp;
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if (cn == 1)
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cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
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else
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cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
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cv::swap(temp, frame);
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}
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d_frame.upload(frame);
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startTimer(); next();
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d_mog(d_frame, d_foreground, learningRate);
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stopTimer();
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}
|
|
}
|
|
else
|
|
{
|
|
cv::BackgroundSubtractorMOG mog;
|
|
cv::Mat foreground;
|
|
|
|
mog(frame, foreground, learningRate);
|
|
|
|
for (int i = 0; i < 10; ++i)
|
|
{
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
startTimer(); next();
|
|
mog(frame, foreground, learningRate);
|
|
stopTimer();
|
|
}
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////
|
|
// MOG2
|
|
|
|
DEF_PARAM_TEST(Video_Cn, string, int);
|
|
|
|
PERF_TEST_P(Video_Cn, DISABLED_Video_MOG2,
|
|
Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), GPU_CHANNELS_1_3_4))
|
|
{
|
|
string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
|
|
int cn = GET_PARAM(1);
|
|
|
|
cv::VideoCapture cap(inputFile);
|
|
ASSERT_TRUE(cap.isOpened());
|
|
|
|
cv::Mat frame;
|
|
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_frame(frame);
|
|
cv::gpu::MOG2_GPU d_mog2;
|
|
cv::gpu::GpuMat d_foreground;
|
|
|
|
d_mog2(d_frame, d_foreground);
|
|
|
|
for (int i = 0; i < 10; ++i)
|
|
{
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
d_frame.upload(frame);
|
|
|
|
startTimer(); next();
|
|
d_mog2(d_frame, d_foreground);
|
|
stopTimer();
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::BackgroundSubtractorMOG2 mog2;
|
|
cv::Mat foreground;
|
|
|
|
mog2(frame, foreground);
|
|
|
|
for (int i = 0; i < 10; ++i)
|
|
{
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
startTimer(); next();
|
|
mog2(frame, foreground);
|
|
stopTimer();
|
|
}
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////
|
|
// MOG2GetBackgroundImage
|
|
|
|
PERF_TEST_P(Video_Cn, Video_MOG2GetBackgroundImage,
|
|
Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), GPU_CHANNELS_1_3_4))
|
|
{
|
|
string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
|
|
int cn = GET_PARAM(1);
|
|
|
|
cv::VideoCapture cap(inputFile);
|
|
ASSERT_TRUE(cap.isOpened());
|
|
|
|
cv::Mat frame;
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_frame;
|
|
cv::gpu::MOG2_GPU d_mog2;
|
|
cv::gpu::GpuMat d_foreground;
|
|
|
|
for (int i = 0; i < 10; ++i)
|
|
{
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
d_frame.upload(frame);
|
|
|
|
d_mog2(d_frame, d_foreground);
|
|
}
|
|
|
|
cv::gpu::GpuMat d_background;
|
|
d_mog2.getBackgroundImage(d_background);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
d_mog2.getBackgroundImage(d_background);
|
|
}
|
|
|
|
GPU_SANITY_CHECK(d_background);
|
|
}
|
|
else
|
|
{
|
|
cv::BackgroundSubtractorMOG2 mog2;
|
|
cv::Mat foreground;
|
|
|
|
for (int i = 0; i < 10; ++i)
|
|
{
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
mog2(frame, foreground);
|
|
}
|
|
|
|
cv::Mat background;
|
|
mog2.getBackgroundImage(background);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
mog2.getBackgroundImage(background);
|
|
}
|
|
|
|
CPU_SANITY_CHECK(background);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////
|
|
// VIBE
|
|
|
|
PERF_TEST_P(Video_Cn, DISABLED_Video_VIBE,
|
|
Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), GPU_CHANNELS_1_3_4))
|
|
{
|
|
string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
|
|
int cn = GET_PARAM(1);
|
|
|
|
cv::VideoCapture cap(inputFile);
|
|
ASSERT_TRUE(cap.isOpened());
|
|
|
|
cv::Mat frame;
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_frame(frame);
|
|
cv::gpu::VIBE_GPU d_vibe;
|
|
cv::gpu::GpuMat d_foreground;
|
|
|
|
d_vibe(d_frame, d_foreground);
|
|
|
|
for (int i = 0; i < 10; ++i)
|
|
{
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
d_frame.upload(frame);
|
|
|
|
startTimer(); next();
|
|
d_vibe(d_frame, d_foreground);
|
|
stopTimer();
|
|
}
|
|
}
|
|
else
|
|
{
|
|
FAIL() << "No such CPU implementation analogy";
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////
|
|
// GMG
|
|
|
|
DEF_PARAM_TEST(Video_Cn_MaxFeatures, string, MatCn, int);
|
|
|
|
PERF_TEST_P(Video_Cn_MaxFeatures, DISABLED_Video_GMG,
|
|
Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), GPU_CHANNELS_1_3_4, Values(20, 40, 60)))
|
|
{
|
|
std::string inputFile = perf::TestBase::getDataPath(GET_PARAM(0));
|
|
int cn = GET_PARAM(1);
|
|
int maxFeatures = GET_PARAM(2);
|
|
|
|
cv::VideoCapture cap(inputFile);
|
|
ASSERT_TRUE(cap.isOpened());
|
|
|
|
cv::Mat frame;
|
|
cap >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_frame(frame);
|
|
cv::gpu::GpuMat d_fgmask;
|
|
|
|
cv::gpu::GMG_GPU d_gmg;
|
|
d_gmg.maxFeatures = maxFeatures;
|
|
|
|
d_gmg(d_frame, d_fgmask);
|
|
|
|
for (int i = 0; i < 150; ++i)
|
|
{
|
|
cap >> frame;
|
|
if (frame.empty())
|
|
{
|
|
cap.release();
|
|
cap.open(inputFile);
|
|
cap >> frame;
|
|
}
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
d_frame.upload(frame);
|
|
|
|
startTimer(); next();
|
|
d_gmg(d_frame, d_fgmask);
|
|
stopTimer();
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::Mat fgmask;
|
|
cv::Mat zeros(frame.size(), CV_8UC1, cv::Scalar::all(0));
|
|
|
|
cv::BackgroundSubtractorGMG gmg;
|
|
gmg.set("maxFeatures", maxFeatures);
|
|
gmg.initialize(frame.size(), 0.0, 255.0);
|
|
|
|
gmg(frame, fgmask);
|
|
|
|
for (int i = 0; i < 150; ++i)
|
|
{
|
|
cap >> frame;
|
|
if (frame.empty())
|
|
{
|
|
cap.release();
|
|
cap.open(inputFile);
|
|
cap >> frame;
|
|
}
|
|
|
|
if (cn != 3)
|
|
{
|
|
cv::Mat temp;
|
|
if (cn == 1)
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
|
|
else
|
|
cv::cvtColor(frame, temp, cv::COLOR_BGR2BGRA);
|
|
cv::swap(temp, frame);
|
|
}
|
|
|
|
startTimer(); next();
|
|
gmg(frame, fgmask);
|
|
stopTimer();
|
|
}
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////
|
|
// VideoWriter
|
|
|
|
PERF_TEST_P(Video, DISABLED_Video_VideoWriter, Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"))
|
|
{
|
|
declare.time(30);
|
|
|
|
string inputFile = perf::TestBase::getDataPath(GetParam());
|
|
string outputFile = cv::tempfile(".avi");
|
|
|
|
const double FPS = 25.0;
|
|
|
|
cv::VideoCapture reader(inputFile);
|
|
ASSERT_TRUE( reader.isOpened() );
|
|
|
|
cv::Mat frame;
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::VideoWriter_GPU d_writer;
|
|
|
|
cv::gpu::GpuMat d_frame;
|
|
|
|
for (int i = 0; i < 10; ++i)
|
|
{
|
|
reader >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
d_frame.upload(frame);
|
|
|
|
if (!d_writer.isOpened())
|
|
d_writer.open(outputFile, frame.size(), FPS);
|
|
|
|
startTimer(); next();
|
|
d_writer.write(d_frame);
|
|
stopTimer();
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::VideoWriter writer;
|
|
|
|
for (int i = 0; i < 10; ++i)
|
|
{
|
|
reader >> frame;
|
|
ASSERT_FALSE(frame.empty());
|
|
|
|
if (!writer.isOpened())
|
|
writer.open(outputFile, CV_FOURCC('X', 'V', 'I', 'D'), FPS, frame.size());
|
|
|
|
startTimer(); next();
|
|
writer.write(frame);
|
|
stopTimer();
|
|
}
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////
|
|
// VideoReader
|
|
|
|
PERF_TEST_P(Video, Video_VideoReader, Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"))
|
|
{
|
|
declare.time(20);
|
|
|
|
string inputFile = perf::TestBase::getDataPath(GetParam());
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::VideoReader_GPU d_reader(inputFile);
|
|
ASSERT_TRUE( d_reader.isOpened() );
|
|
|
|
cv::gpu::GpuMat d_frame;
|
|
|
|
d_reader.read(d_frame);
|
|
|
|
TEST_CYCLE_N(10)
|
|
{
|
|
d_reader.read(d_frame);
|
|
}
|
|
|
|
GPU_SANITY_CHECK(d_frame);
|
|
}
|
|
else
|
|
{
|
|
cv::VideoCapture reader(inputFile);
|
|
ASSERT_TRUE( reader.isOpened() );
|
|
|
|
cv::Mat frame;
|
|
|
|
reader >> frame;
|
|
|
|
TEST_CYCLE_N(10)
|
|
{
|
|
reader >> frame;
|
|
}
|
|
|
|
CPU_SANITY_CHECK(frame);
|
|
}
|
|
}
|
|
|
|
} // namespace
|