mirror of
https://github.com/opencv/opencv.git
synced 2024-11-26 20:20:20 +08:00
285 lines
7.9 KiB
C++
285 lines
7.9 KiB
C++
#include "perf_precomp.hpp"
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#define GPU_PERF_TEST_P(fixture, name, params) \
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class fixture##_##name : public fixture {\
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public:\
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fixture##_##name() {}\
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protected:\
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virtual void __cpu();\
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virtual void __gpu();\
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virtual void PerfTestBody();\
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};\
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TEST_P(fixture##_##name, name /*perf*/){ RunPerfTestBody(); if (PERF_RUN_GPU()) __gpu(); else __cpu();}\
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INSTANTIATE_TEST_CASE_P(/*none*/, fixture##_##name, params);\
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void fixture##_##name::PerfTestBody()
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#define RUN_CPU(fixture, name)\
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void fixture##_##name::__cpu()
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#define RUN_GPU(fixture, name)\
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void fixture##_##name::__gpu()
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#define NO_CPU(fixture, name)\
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void fixture##_##name::__cpu() { FAIL() << "No such CPU implementation analogy";}
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namespace {
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struct DetectionLess
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{
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bool operator()(const cv::gpu::SCascade::Detection& a,
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const cv::gpu::SCascade::Detection& b) const
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{
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if (a.x != b.x) return a.x < b.x;
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else if (a.y != b.y) return a.y < b.y;
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else if (a.w != b.w) return a.w < b.w;
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else return a.h < b.h;
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}
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};
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cv::Mat sortDetections(cv::gpu::GpuMat& objects)
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{
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cv::Mat detections(objects);
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typedef cv::gpu::SCascade::Detection Detection;
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Detection* begin = (Detection*)(detections.ptr<char>(0));
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Detection* end = (Detection*)(detections.ptr<char>(0) + detections.cols);
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std::sort(begin, end, DetectionLess());
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return detections;
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}
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}
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typedef std::tr1::tuple<std::string, std::string> fixture_t;
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typedef perf::TestBaseWithParam<fixture_t> SCascadeTest;
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GPU_PERF_TEST_P(SCascadeTest, detect,
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testing::Combine(
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testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
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testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png"))))
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{ }
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RUN_GPU(SCascadeTest, detect)
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{
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cv::Mat cpu = readImage (GET_PARAM(1));
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ASSERT_FALSE(cpu.empty());
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cv::gpu::GpuMat colored(cpu);
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cv::gpu::SCascade cascade;
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cv::FileStorage fs(perf::TestBase::getDataPath(GET_PARAM(0)), cv::FileStorage::READ);
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ASSERT_TRUE(fs.isOpened());
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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cv::gpu::GpuMat objectBoxes(1, 10000 * sizeof(cv::gpu::SCascade::Detection), CV_8UC1), rois(colored.size(), CV_8UC1);
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rois.setTo(1);
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cascade.detect(colored, rois, objectBoxes);
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TEST_CYCLE()
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{
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cascade.detect(colored, rois, objectBoxes);
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}
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SANITY_CHECK(sortDetections(objectBoxes));
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}
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NO_CPU(SCascadeTest, detect)
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static cv::Rect getFromTable(int idx)
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{
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static const cv::Rect rois[] =
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{
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cv::Rect( 65 * 4, 20 * 4, 35 * 4, 80 * 4),
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cv::Rect( 95 * 4, 35 * 4, 45 * 4, 40 * 4),
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cv::Rect( 45 * 4, 35 * 4, 45 * 4, 40 * 4),
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cv::Rect( 25 * 4, 27 * 4, 50 * 4, 45 * 4),
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cv::Rect(100 * 4, 50 * 4, 45 * 4, 40 * 4),
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cv::Rect( 60 * 4, 30 * 4, 45 * 4, 40 * 4),
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cv::Rect( 40 * 4, 55 * 4, 50 * 4, 40 * 4),
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cv::Rect( 48 * 4, 37 * 4, 72 * 4, 80 * 4),
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cv::Rect( 48 * 4, 32 * 4, 85 * 4, 58 * 4),
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cv::Rect( 48 * 4, 0 * 4, 32 * 4, 27 * 4)
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};
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return rois[idx];
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}
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typedef std::tr1::tuple<std::string, std::string, int> roi_fixture_t;
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typedef perf::TestBaseWithParam<roi_fixture_t> SCascadeTestRoi;
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GPU_PERF_TEST_P(SCascadeTestRoi, detectInRoi,
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testing::Combine(
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testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
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testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png")),
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testing::Range(0, 5)))
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{}
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RUN_GPU(SCascadeTestRoi, detectInRoi)
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{
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cv::Mat cpu = readImage (GET_PARAM(1));
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ASSERT_FALSE(cpu.empty());
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cv::gpu::GpuMat colored(cpu);
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cv::gpu::SCascade cascade;
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cv::FileStorage fs(perf::TestBase::getDataPath(GET_PARAM(0)), cv::FileStorage::READ);
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ASSERT_TRUE(fs.isOpened());
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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cv::gpu::GpuMat objectBoxes(1, 16384 * 20, CV_8UC1), rois(colored.size(), CV_8UC1);
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rois.setTo(0);
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int nroi = GET_PARAM(2);
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cv::RNG rng;
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for (int i = 0; i < nroi; ++i)
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{
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cv::Rect r = getFromTable(rng(10));
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cv::gpu::GpuMat sub(rois, r);
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sub.setTo(1);
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}
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cascade.detect(colored, rois, objectBoxes);
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TEST_CYCLE()
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{
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cascade.detect(colored, rois, objectBoxes);
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}
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SANITY_CHECK(sortDetections(objectBoxes));
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}
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NO_CPU(SCascadeTestRoi, detectInRoi)
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GPU_PERF_TEST_P(SCascadeTestRoi, detectEachRoi,
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testing::Combine(
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testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
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testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png")),
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testing::Range(0, 10)))
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{}
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RUN_GPU(SCascadeTestRoi, detectEachRoi)
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{
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cv::Mat cpu = readImage (GET_PARAM(1));
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ASSERT_FALSE(cpu.empty());
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cv::gpu::GpuMat colored(cpu);
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cv::gpu::SCascade cascade;
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cv::FileStorage fs(perf::TestBase::getDataPath(GET_PARAM(0)), cv::FileStorage::READ);
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ASSERT_TRUE(fs.isOpened());
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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cv::gpu::GpuMat objectBoxes(1, 16384 * 20, CV_8UC1), rois(colored.size(), CV_8UC1);
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rois.setTo(0);
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int idx = GET_PARAM(2);
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cv::Rect r = getFromTable(idx);
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cv::gpu::GpuMat sub(rois, r);
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sub.setTo(1);
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cascade.detect(colored, rois, objectBoxes);
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TEST_CYCLE()
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{
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cascade.detect(colored, rois, objectBoxes);
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}
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SANITY_CHECK(sortDetections(objectBoxes));
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}
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NO_CPU(SCascadeTestRoi, detectEachRoi)
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GPU_PERF_TEST_P(SCascadeTest, detectOnIntegral,
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testing::Combine(
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testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
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testing::Values(std::string("cv/cascadeandhog/integrals.xml"))))
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{ }
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static std::string itoa(long i)
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{
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static char s[65];
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sprintf(s, "%ld", i);
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return std::string(s);
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}
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RUN_GPU(SCascadeTest, detectOnIntegral)
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{
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cv::FileStorage fsi(perf::TestBase::getDataPath(GET_PARAM(1)), cv::FileStorage::READ);
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ASSERT_TRUE(fsi.isOpened());
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cv::gpu::GpuMat hogluv(121 * 10, 161, CV_32SC1);
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for (int i = 0; i < 10; ++i)
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{
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cv::Mat channel;
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fsi[std::string("channel") + itoa(i)] >> channel;
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cv::gpu::GpuMat gchannel(hogluv, cv::Rect(0, 121 * i, 161, 121));
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gchannel.upload(channel);
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}
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cv::gpu::SCascade cascade;
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cv::FileStorage fs(perf::TestBase::getDataPath(GET_PARAM(0)), cv::FileStorage::READ);
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ASSERT_TRUE(fs.isOpened());
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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cv::gpu::GpuMat objectBoxes(1, 10000 * sizeof(cv::gpu::SCascade::Detection), CV_8UC1), rois(cv::Size(640, 480), CV_8UC1);
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rois.setTo(1);
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cascade.detect(hogluv, rois, objectBoxes);
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TEST_CYCLE()
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{
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cascade.detect(hogluv, rois, objectBoxes);
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}
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SANITY_CHECK(sortDetections(objectBoxes));
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}
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NO_CPU(SCascadeTest, detectOnIntegral)
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GPU_PERF_TEST_P(SCascadeTest, detectStream,
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testing::Combine(
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testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
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testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png"))))
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{ }
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RUN_GPU(SCascadeTest, detectStream)
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{
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cv::Mat cpu = readImage (GET_PARAM(1));
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ASSERT_FALSE(cpu.empty());
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cv::gpu::GpuMat colored(cpu);
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cv::gpu::SCascade cascade;
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cv::FileStorage fs(perf::TestBase::getDataPath(GET_PARAM(0)), cv::FileStorage::READ);
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ASSERT_TRUE(fs.isOpened());
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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cv::gpu::GpuMat objectBoxes(1, 10000 * sizeof(cv::gpu::SCascade::Detection), CV_8UC1), rois(colored.size(), CV_8UC1);
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rois.setTo(1);
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cv::gpu::Stream s;
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cascade.detect(colored, rois, objectBoxes, s);
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TEST_CYCLE()
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{
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cascade.detect(colored, rois, objectBoxes, s);
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}
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#ifdef HAVE_CUDA
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cudaDeviceSynchronize();
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#endif
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SANITY_CHECK(sortDetections(objectBoxes));
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}
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NO_CPU(SCascadeTest, detectStream)
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